TY  - JOUR
AU  - Kasalica, Vidoje
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7225
AB  - Nove tendencije u tehnološkim sistemima u pogledu obradnih procesa, postavile su i nove zahteve pred mernu tehniku. Primena konvencionalnih metroloških sistema i procedura koje ih podržavaju, postala je ograničavajući faktor u smislu fleksibinosti i tačnosti merenja. Poseban problem je brza metrološka identifikacija kompleksnih metroloških zadataka, kao što su, na primer, tolerancije oblika i položaja kod delova srednje i povišene tačnosti. Pored metrološke identifikacije, problem je i povezivanje metroloških baza, što ima direktnog uticaja na tačnost dobijenih rezultata. U cilju rešenja ovih problema, u ovom radu prikazan je jedan pristup modeliranju digitalnog mernog blizanca na bazi numerički upravljane merne mašine. U širem smislu razvijeni model integriše mašinske i računarske tehnologije i primenjen je u oblasti metrologije, odnosno ispitivanju ostvarenih tolerancija na mašinskom delu pomoću numerički upravljane merne mašine - NUMM. Prednosti se ogledaju u tome da nije neophodno konstruisati skupe prototipove, da se štedi vreme, izbegava kolizija i ono najvažnije u svetu industrije, štedi novac.
AB  - New trends in technological systems in terms of processing processes have also placed new demands on the measuring technique. The application of conventional metrology systems and the procedures that support them have become a limiting factor in terms of flexibility and measurement accuracy. The main problem problem is the rapid metrological identification of complex metrological tasks, such as, for example, shape and position tolerances for parts of medium and high accuracy. In addition to metrological identification, the problem is also the connection of metrological databases, which has a direct impact on the obtain results accuracy. In order to solve these problems, this paper presents an approach to modeling a digital measuring twin based on a numerically controlled measuring machine. In a broader sense, the developed model integrates machine and computer technologies and was applied in the field of metrology, that is, the examination of achieved tolerances on machine parts using CMM. The benefits are reflected in the fact that it is not necessary to construct expensive prototypes, it saves time, avoids collision and the most important thing in the world of industry, it saves money.
PB  - Savez inženjera i tehničara Srbije, Beograd
T2  - Tehnika
T1  - Jedan pristup razvoju digitalnog mernog blizanca na bazi numerički upravljane merne mašine
T1  - AN APPROACH TO MODELING A DIGITAL MEASURING TWIN BASED ON A COORDINATE MEASURING MACHINES
EP  - 713
IS  - 6
SP  - 707
VL  - 77
DO  - 10.5937/tehnika2206707K
ER  - 

@article{
author = "Kasalica, Vidoje and Stojadinović, Slavenko and Živković, Srđan",
year = "2022",
abstract = "Nove tendencije u tehnološkim sistemima u pogledu obradnih procesa, postavile su i nove zahteve pred mernu tehniku. Primena konvencionalnih metroloških sistema i procedura koje ih podržavaju, postala je ograničavajući faktor u smislu fleksibinosti i tačnosti merenja. Poseban problem je brza metrološka identifikacija kompleksnih metroloških zadataka, kao što su, na primer, tolerancije oblika i položaja kod delova srednje i povišene tačnosti. Pored metrološke identifikacije, problem je i povezivanje metroloških baza, što ima direktnog uticaja na tačnost dobijenih rezultata. U cilju rešenja ovih problema, u ovom radu prikazan je jedan pristup modeliranju digitalnog mernog blizanca na bazi numerički upravljane merne mašine. U širem smislu razvijeni model integriše mašinske i računarske tehnologije i primenjen je u oblasti metrologije, odnosno ispitivanju ostvarenih tolerancija na mašinskom delu pomoću numerički upravljane merne mašine - NUMM. Prednosti se ogledaju u tome da nije neophodno konstruisati skupe prototipove, da se štedi vreme, izbegava kolizija i ono najvažnije u svetu industrije, štedi novac., New trends in technological systems in terms of processing processes have also placed new demands on the measuring technique. The application of conventional metrology systems and the procedures that support them have become a limiting factor in terms of flexibility and measurement accuracy. The main problem problem is the rapid metrological identification of complex metrological tasks, such as, for example, shape and position tolerances for parts of medium and high accuracy. In addition to metrological identification, the problem is also the connection of metrological databases, which has a direct impact on the obtain results accuracy. In order to solve these problems, this paper presents an approach to modeling a digital measuring twin based on a numerically controlled measuring machine. In a broader sense, the developed model integrates machine and computer technologies and was applied in the field of metrology, that is, the examination of achieved tolerances on machine parts using CMM. The benefits are reflected in the fact that it is not necessary to construct expensive prototypes, it saves time, avoids collision and the most important thing in the world of industry, it saves money.",
publisher = "Savez inženjera i tehničara Srbije, Beograd",
journal = "Tehnika",
title = "Jedan pristup razvoju digitalnog mernog blizanca na bazi numerički upravljane merne mašine, AN APPROACH TO MODELING A DIGITAL MEASURING TWIN BASED ON A COORDINATE MEASURING MACHINES",
pages = "713-707",
number = "6",
volume = "77",
doi = "10.5937/tehnika2206707K"
}

Kasalica, V., Stojadinović, S.,& Živković, S.. (2022). Jedan pristup razvoju digitalnog mernog blizanca na bazi numerički upravljane merne mašine. in Tehnika
Savez inženjera i tehničara Srbije, Beograd., 77(6), 707-713.
https://doi.org/10.5937/tehnika2206707K

Kasalica V, Stojadinović S, Živković S. Jedan pristup razvoju digitalnog mernog blizanca na bazi numerički upravljane merne mašine. in Tehnika. 2022;77(6):707-713.
doi:10.5937/tehnika2206707K .

Kasalica, Vidoje, Stojadinović, Slavenko, Živković, Srđan, "Jedan pristup razvoju digitalnog mernog blizanca na bazi numerički upravljane merne mašine" in Tehnika, 77, no. 6 (2022):707-713,
https://doi.org/10.5937/tehnika2206707K . .

TY  - CONF
AU  - Stojadinović, Slavenko
AU  - Majstorović, Vidosav
AU  - Živković, Srđan
AU  - Kasalica, Vidoje
AU  - Stanić, Dušan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6133
AB  - The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic lgorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.
PB  - Scientific Technical Union of Mechanical Engineering "Industry-4.0"
C3  - VII INTERNATIONAL SCIENTIFIC CONFERENCE INDUSTRY 4.0, 22 - 25 June 2022, Varna, Bulgaria
T1  - An Approach of Development Digital Twin Based on CMM as Support Industry 4.0
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6133
ER  - 

@conference{
author = "Stojadinović, Slavenko and Majstorović, Vidosav and Živković, Srđan and Kasalica, Vidoje and Stanić, Dušan",
year = "2022",
abstract = "The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic lgorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.",
publisher = "Scientific Technical Union of Mechanical Engineering "Industry-4.0"",
journal = "VII INTERNATIONAL SCIENTIFIC CONFERENCE INDUSTRY 4.0, 22 - 25 June 2022, Varna, Bulgaria",
title = "An Approach of Development Digital Twin Based on CMM as Support Industry 4.0",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6133"
}

Stojadinović, S., Majstorović, V., Živković, S., Kasalica, V.,& Stanić, D.. (2022). An Approach of Development Digital Twin Based on CMM as Support Industry 4.0. in VII INTERNATIONAL SCIENTIFIC CONFERENCE INDUSTRY 4.0, 22 - 25 June 2022, Varna, Bulgaria
Scientific Technical Union of Mechanical Engineering "Industry-4.0"..
https://hdl.handle.net/21.15107/rcub_machinery_6133

Stojadinović S, Majstorović V, Živković S, Kasalica V, Stanić D. An Approach of Development Digital Twin Based on CMM as Support Industry 4.0. in VII INTERNATIONAL SCIENTIFIC CONFERENCE INDUSTRY 4.0, 22 - 25 June 2022, Varna, Bulgaria. 2022;.
https://hdl.handle.net/21.15107/rcub_machinery_6133 .

Stojadinović, Slavenko, Majstorović, Vidosav, Živković, Srđan, Kasalica, Vidoje, Stanić, Dušan, "An Approach of Development Digital Twin Based on CMM as Support Industry 4.0" in VII INTERNATIONAL SCIENTIFIC CONFERENCE INDUSTRY 4.0, 22 - 25 June 2022, Varna, Bulgaria (2022),
https://hdl.handle.net/21.15107/rcub_machinery_6133 .

TY  - JOUR
AU  - Stojadinović, Slavenko
AU  - Majstorović, Vidosav
AU  - Živković, Srđan
AU  - Kasalica, Vidoje
AU  - Stanić, Dušan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6129
AB  - The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic algorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.
PB  - Scientific Technical Union of Mechanical Engineering "Industry-4.0"
T2  - International Scientific Journal Industry 4.0
T1  - An Approach of Development Digital Twin Based on CMM as Support Industry 4.0
IS  - 2
VL  - 7
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6129
ER  - 

@article{
author = "Stojadinović, Slavenko and Majstorović, Vidosav and Živković, Srđan and Kasalica, Vidoje and Stanić, Dušan",
year = "2022",
abstract = "The digital twin (DT) based on CMM as support Industry 4.0, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). DT based on CMM has an extremely expressed requirement for digitalization, control, and monitoring of the measurement processes inside Industry 4.0 concept. This paper presents an approach of development DT as one direction information flow based on four levels: (i) mathematical model of the measuring sensor path; (ii) tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as Ants Colony Optimization (ACO) and Genetic algorithm (GA) to optimize the measurement path, part number of part setup and configuration of the measuring probes; (iv) simulation of measurement path. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the example of prismatic part.",
publisher = "Scientific Technical Union of Mechanical Engineering "Industry-4.0"",
journal = "International Scientific Journal Industry 4.0",
title = "An Approach of Development Digital Twin Based on CMM as Support Industry 4.0",
number = "2",
volume = "7",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6129"
}

Stojadinović, S., Majstorović, V., Živković, S., Kasalica, V.,& Stanić, D.. (2022). An Approach of Development Digital Twin Based on CMM as Support Industry 4.0. in International Scientific Journal Industry 4.0
Scientific Technical Union of Mechanical Engineering "Industry-4.0"., 7(2).
https://hdl.handle.net/21.15107/rcub_machinery_6129

Stojadinović S, Majstorović V, Živković S, Kasalica V, Stanić D. An Approach of Development Digital Twin Based on CMM as Support Industry 4.0. in International Scientific Journal Industry 4.0. 2022;7(2).
https://hdl.handle.net/21.15107/rcub_machinery_6129 .

Stojadinović, Slavenko, Majstorović, Vidosav, Živković, Srđan, Kasalica, Vidoje, Stanić, Dušan, "An Approach of Development Digital Twin Based on CMM as Support Industry 4.0" in International Scientific Journal Industry 4.0, 7, no. 2 (2022),
https://hdl.handle.net/21.15107/rcub_machinery_6129 .

TY  - GEN
AU  - Stojadinović, Slavenko
AU  - Puzović, Radovan
AU  - Živković, Srđan
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6122
AB  - U širem smislu tehničko rešenje pripada oblasti proizvodnog mašinstva, dok u užem smislu pripada oblasti proizvodne metrologije i metoda planiranja merenja i inspekcije metrološki kompleksnih prizmatičnih delova na numerički upravljanim mernim mašinama. Razvijeni model se direktno odnosi na analizu postavljanja prizmatičnih delova i konfigurisanja mernih senzora. Skup mogućih postavljanja prizmatičnih delova i konfiguracija senzora (zvezda ili merna glava) se razvijenom metodologijom na bazi genetskih algoritama (GA) svodi na optimalni broj. Za svako optimalno postavljanje dela se dobija optimalna konfiguracija senzora i optimalna merna putanja u obliku point-to-point, što uz upotrebu odgovarajućeg postprocesora je čini primenjivom za realna industrijska merenja na mernim mašinama. Prednost modela u navedenoj oblasti primene je skraćenje ukupnog vremena merenja, kao i eliminacija grešaka koje se pojavljuju usled ljudskog faktora (autonomnost-minimiziranje ucešca coveka) kroz optimalno planiranje postavljanja dela i konfigurisanje senzora. Ovaj model se može primeniti ne samo za planiranje inspekcije već i za analizu postavljanja prizmatičnih delova pri njihovoj obradi uz razliku da se pri tome uzimaju u obzir tehnološke baze.
PB  - Mašinski fakultet, Beograd
T2  - Tehničko rešenje je usvojeno od strane MNO za mašinstvo i industrijski softver 2022. godine
T1  - Метод оптималног постављања призматичних мерних делова и конфигурисања мених сензора при инспекцији на нумерички управљаним мерним машинама
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6122
ER  - 

@misc{
author = "Stojadinović, Slavenko and Puzović, Radovan and Živković, Srđan",
year = "2022",
abstract = "U širem smislu tehničko rešenje pripada oblasti proizvodnog mašinstva, dok u užem smislu pripada oblasti proizvodne metrologije i metoda planiranja merenja i inspekcije metrološki kompleksnih prizmatičnih delova na numerički upravljanim mernim mašinama. Razvijeni model se direktno odnosi na analizu postavljanja prizmatičnih delova i konfigurisanja mernih senzora. Skup mogućih postavljanja prizmatičnih delova i konfiguracija senzora (zvezda ili merna glava) se razvijenom metodologijom na bazi genetskih algoritama (GA) svodi na optimalni broj. Za svako optimalno postavljanje dela se dobija optimalna konfiguracija senzora i optimalna merna putanja u obliku point-to-point, što uz upotrebu odgovarajućeg postprocesora je čini primenjivom za realna industrijska merenja na mernim mašinama. Prednost modela u navedenoj oblasti primene je skraćenje ukupnog vremena merenja, kao i eliminacija grešaka koje se pojavljuju usled ljudskog faktora (autonomnost-minimiziranje ucešca coveka) kroz optimalno planiranje postavljanja dela i konfigurisanje senzora. Ovaj model se može primeniti ne samo za planiranje inspekcije već i za analizu postavljanja prizmatičnih delova pri njihovoj obradi uz razliku da se pri tome uzimaju u obzir tehnološke baze.",
publisher = "Mašinski fakultet, Beograd",
journal = "Tehničko rešenje je usvojeno od strane MNO za mašinstvo i industrijski softver 2022. godine",
title = "Метод оптималног постављања призматичних мерних делова и конфигурисања мених сензора при инспекцији на нумерички управљаним мерним машинама",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6122"
}

Stojadinović, S., Puzović, R.,& Živković, S.. (2022). Метод оптималног постављања призматичних мерних делова и конфигурисања мених сензора при инспекцији на нумерички управљаним мерним машинама. in Tehničko rešenje je usvojeno od strane MNO za mašinstvo i industrijski softver 2022. godine
Mašinski fakultet, Beograd..
https://hdl.handle.net/21.15107/rcub_machinery_6122

Stojadinović S, Puzović R, Živković S. Метод оптималног постављања призматичних мерних делова и конфигурисања мених сензора при инспекцији на нумерички управљаним мерним машинама. in Tehničko rešenje je usvojeno od strane MNO za mašinstvo i industrijski softver 2022. godine. 2022;.
https://hdl.handle.net/21.15107/rcub_machinery_6122 .

Stojadinović, Slavenko, Puzović, Radovan, Živković, Srđan, "Метод оптималног постављања призматичних мерних делова и конфигурисања мених сензора при инспекцији на нумерички управљаним мерним машинама" in Tehničko rešenje je usvojeno od strane MNO za mašinstvo i industrijski softver 2022. godine (2022),
https://hdl.handle.net/21.15107/rcub_machinery_6122 .

TY  - JOUR
AU  - Linić, Suzana
AU  - Lučanin, Vojkan
AU  - Živković, Srđan D.
AU  - Raković, Marko
AU  - Ristić, Slavica
AU  - Radojković, Bojana
AU  - Polić, Suzana
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3571
AB  - A multidisciplinary research method was employed with the intention to create a series of bio-inspired flattened airfoils, observe their aerodynamic characteristics, and analyse their applicability to small devices or to designs of high-speed trains, within the shortest period in the conceptual stage. A research specimen of a kingfisher, selected for biomimicry, was examined with the following methods: visual inspection, analysis of photographs, manufacturing quality control measurement with a 3D laser scanner, and microscopy. A basic multi-arc-line profile, re-engineered from the overlapped specimen shape data and based on the observations, was used for designing a series of seven derived airfoils. The aerodynamic characteristics of the bio-inspired airfoils were obtained with the panel methods at low and moderate subsonic speeds, while the small transonic difference method was used in the high-subsonic speed range. Basic and ellipse-like airfoils produce higher total drag at low and moderate velocities and higher forebody drag in the high-subsonic range when compared to derived and parabola-like airfoils. The obtained critical Mach numbers are in the range from 0.76 to 0.78, where three bionic airfoils show values equal to or smaller than the values of ellipse- and parabola-like airfoils. The profile with the shortest bio-inspired relative chord has a higher critical Mach number value than the parabola-like profile. The sonic lines above these profiles appear at close positions. The applied set of examination methods of the bio-inspired design is not time consuming and produces sufficiently good results in the conceptual stage. Therefore, a further development of unique and adjusted numerical methods and codes at pre-computational fluid dynamics run is encouraged, together with shape parameterization.
PB  - Springer Heidelberg, Heidelberg
T2  - Journal of The Brazilian Society of Mechanical Sciences and Engineering
T1  - Multidisciplinary research method for designing and selection of bio-inspired profiles in the conceptual designing stage
IS  - 1
VL  - 43
DO  - 10.1007/s40430-020-02789-2
ER  - 

@article{
author = "Linić, Suzana and Lučanin, Vojkan and Živković, Srđan D. and Raković, Marko and Ristić, Slavica and Radojković, Bojana and Polić, Suzana",
year = "2021",
abstract = "A multidisciplinary research method was employed with the intention to create a series of bio-inspired flattened airfoils, observe their aerodynamic characteristics, and analyse their applicability to small devices or to designs of high-speed trains, within the shortest period in the conceptual stage. A research specimen of a kingfisher, selected for biomimicry, was examined with the following methods: visual inspection, analysis of photographs, manufacturing quality control measurement with a 3D laser scanner, and microscopy. A basic multi-arc-line profile, re-engineered from the overlapped specimen shape data and based on the observations, was used for designing a series of seven derived airfoils. The aerodynamic characteristics of the bio-inspired airfoils were obtained with the panel methods at low and moderate subsonic speeds, while the small transonic difference method was used in the high-subsonic speed range. Basic and ellipse-like airfoils produce higher total drag at low and moderate velocities and higher forebody drag in the high-subsonic range when compared to derived and parabola-like airfoils. The obtained critical Mach numbers are in the range from 0.76 to 0.78, where three bionic airfoils show values equal to or smaller than the values of ellipse- and parabola-like airfoils. The profile with the shortest bio-inspired relative chord has a higher critical Mach number value than the parabola-like profile. The sonic lines above these profiles appear at close positions. The applied set of examination methods of the bio-inspired design is not time consuming and produces sufficiently good results in the conceptual stage. Therefore, a further development of unique and adjusted numerical methods and codes at pre-computational fluid dynamics run is encouraged, together with shape parameterization.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Journal of The Brazilian Society of Mechanical Sciences and Engineering",
title = "Multidisciplinary research method for designing and selection of bio-inspired profiles in the conceptual designing stage",
number = "1",
volume = "43",
doi = "10.1007/s40430-020-02789-2"
}

Linić, S., Lučanin, V., Živković, S. D., Raković, M., Ristić, S., Radojković, B.,& Polić, S.. (2021). Multidisciplinary research method for designing and selection of bio-inspired profiles in the conceptual designing stage. in Journal of The Brazilian Society of Mechanical Sciences and Engineering
Springer Heidelberg, Heidelberg., 43(1).
https://doi.org/10.1007/s40430-020-02789-2

Linić S, Lučanin V, Živković SD, Raković M, Ristić S, Radojković B, Polić S. Multidisciplinary research method for designing and selection of bio-inspired profiles in the conceptual designing stage. in Journal of The Brazilian Society of Mechanical Sciences and Engineering. 2021;43(1).
doi:10.1007/s40430-020-02789-2 .

Linić, Suzana, Lučanin, Vojkan, Živković, Srđan D., Raković, Marko, Ristić, Slavica, Radojković, Bojana, Polić, Suzana, "Multidisciplinary research method for designing and selection of bio-inspired profiles in the conceptual designing stage" in Journal of The Brazilian Society of Mechanical Sciences and Engineering, 43, no. 1 (2021),
https://doi.org/10.1007/s40430-020-02789-2 . .

TY  - CONF
AU  - Majstorović, Vidosav D.
AU  - Stojadinović, Slavenko
AU  - Jakovljević, Živana
AU  - Živković, Srđan D.
AU  - Djurdjanović, Dragan
AU  - Kostić, Julija
AU  - Gligorijević, Nemanja
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2914
AB  - Internet of Things (IoT) is changing the world, and therefore the application of ICT (Information and Communication Technology) in manufacturing. As a paradigm based on the Internet, IoT utilizes the benefits of interrelated technologies/smart devices such as RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actuator Networks) for the retrieval and exchange of information thus opening up new possibilities for integration of manufacturing system and its cyber representation through Cyber-Physical Manufacturing (CPM) model. On the other hand, CPM and digital manufacturing represent the key elements for implementation of Industry 4.0 and backbone for "smart factory" generation. Interconnected smart devices generate huge databases (big data), so that Cloud computing becomes indispensable tool to support the CPM. In addition, CPM has an extremely expressed requirement for better control, monitoring and data management. Limitations still exist in storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. Products, resources, and processes within smart factory are realized and controlled through CPM model. In this context, our recent research efforts in the field of quality control and manufacturing metrology are directed to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on: 1) integration of digital product metrology information obtained from big data using BDA (big data analytics) through metrology features recognition, and 2) generation of global/local inspection plan for CMM (Coordinate Measuring Machine) from extracted information. This paper will present recent results of our research on CPM3 - big data analytics issue.
PB  - Elsevier Science Bv, Amsterdam
C3  - 51st Cirp Conference on Manufacturing Systems
T1  - Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue
EP  - 508
SP  - 503
VL  - 72
DO  - 10.1016/j.procir.2018.03.091
ER  - 

@conference{
author = "Majstorović, Vidosav D. and Stojadinović, Slavenko and Jakovljević, Živana and Živković, Srđan D. and Djurdjanović, Dragan and Kostić, Julija and Gligorijević, Nemanja",
year = "2018",
abstract = "Internet of Things (IoT) is changing the world, and therefore the application of ICT (Information and Communication Technology) in manufacturing. As a paradigm based on the Internet, IoT utilizes the benefits of interrelated technologies/smart devices such as RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actuator Networks) for the retrieval and exchange of information thus opening up new possibilities for integration of manufacturing system and its cyber representation through Cyber-Physical Manufacturing (CPM) model. On the other hand, CPM and digital manufacturing represent the key elements for implementation of Industry 4.0 and backbone for "smart factory" generation. Interconnected smart devices generate huge databases (big data), so that Cloud computing becomes indispensable tool to support the CPM. In addition, CPM has an extremely expressed requirement for better control, monitoring and data management. Limitations still exist in storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. Products, resources, and processes within smart factory are realized and controlled through CPM model. In this context, our recent research efforts in the field of quality control and manufacturing metrology are directed to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on: 1) integration of digital product metrology information obtained from big data using BDA (big data analytics) through metrology features recognition, and 2) generation of global/local inspection plan for CMM (Coordinate Measuring Machine) from extracted information. This paper will present recent results of our research on CPM3 - big data analytics issue.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "51st Cirp Conference on Manufacturing Systems",
title = "Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue",
pages = "508-503",
volume = "72",
doi = "10.1016/j.procir.2018.03.091"
}

Majstorović, V. D., Stojadinović, S., Jakovljević, Ž., Živković, S. D., Djurdjanović, D., Kostić, J.,& Gligorijević, N.. (2018). Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue. in 51st Cirp Conference on Manufacturing Systems
Elsevier Science Bv, Amsterdam., 72, 503-508.
https://doi.org/10.1016/j.procir.2018.03.091

Majstorović VD, Stojadinović S, Jakovljević Ž, Živković SD, Djurdjanović D, Kostić J, Gligorijević N. Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue. in 51st Cirp Conference on Manufacturing Systems. 2018;72:503-508.
doi:10.1016/j.procir.2018.03.091 .

Majstorović, Vidosav D., Stojadinović, Slavenko, Jakovljević, Živana, Živković, Srđan D., Djurdjanović, Dragan, Kostić, Julija, Gligorijević, Nemanja, "Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue" in 51st Cirp Conference on Manufacturing Systems, 72 (2018):503-508,
https://doi.org/10.1016/j.procir.2018.03.091 . .

TY  - CONF
AU  - Majstorović, Vidosav D.
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan D.
AU  - Djurdjanović, Dragan
AU  - Jakovljević, Živana
AU  - Gligorijević, Nemanja
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2650
AB  - Cyber-Physical Manufacturing (CPM) and digital manufacturing represent the key elements for implementation of Industry 4.0 framework. Worldwide, Industry 4.0 becomes national research strategy in the field of engineering for the following ten years. The International Conference USA-EU-Far East-Serbia Manufacturing Summit was held from 31st May to 2nd June 2016 in Belgrade, Serbia. The result of the conference was the development of Industry 4.0 Model for Serbia as a framework for New Industrial Policy - Horizon 2020/2030. Implementation of CPM in manufacturing systems generates " smart factory". Products, resources, and processes within smart factory are realized and controlled through CPM model. This leads to significant advantages with respect to high product/process quality, real-time applications, savings in resources consumption, as well as, lower costs in comparison with classical manufacturing systems. Smart factory is designed in accordance with sustainable and service-oriented best business practices/models. It is based on optimization, flexibility, self-adaptability and learning, fault tolerance, and risk management. Complete manufacturing digitalization and digital factory are the key elements of Industry 4.0 Program. In collaborative research, which we carry out in the field of quality control and manufacturing metrology at University of Belgrade, Faculty of Mechanical Engineering in Serbia and at Department of Mechanical Engineering, University of Texas, Austin in USA, three research areas are defined: (a) Digital manufacturing - towards Cloud Manufacturing Systems (as a basis for CPS), in which quality and metrology represent integral parts of process optimization based on Taguchi model, and (sic) Cyber-Physical Quality Model (CPQM) - our approach, in which we have developed and tested intelligent model for prismatic parts inspection planning on CMM (Coordinate Measuring Machine). The third research area directs our efforts to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for free-form surfaces; we will illustrate our approach using turbine blade example. This paper will present recent results of our research on CPM3.
PB  - Elsevier Science Bv, Amsterdam
C3  - Manufacturing Systems 4.0
T1  - Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application
EP  - 663
SP  - 658
VL  - 63
DO  - 10.1016/j.procir.2017.03.093
ER  - 

@conference{
author = "Majstorović, Vidosav D. and Stojadinović, Slavenko and Živković, Srđan D. and Djurdjanović, Dragan and Jakovljević, Živana and Gligorijević, Nemanja",
year = "2017",
abstract = "Cyber-Physical Manufacturing (CPM) and digital manufacturing represent the key elements for implementation of Industry 4.0 framework. Worldwide, Industry 4.0 becomes national research strategy in the field of engineering for the following ten years. The International Conference USA-EU-Far East-Serbia Manufacturing Summit was held from 31st May to 2nd June 2016 in Belgrade, Serbia. The result of the conference was the development of Industry 4.0 Model for Serbia as a framework for New Industrial Policy - Horizon 2020/2030. Implementation of CPM in manufacturing systems generates " smart factory". Products, resources, and processes within smart factory are realized and controlled through CPM model. This leads to significant advantages with respect to high product/process quality, real-time applications, savings in resources consumption, as well as, lower costs in comparison with classical manufacturing systems. Smart factory is designed in accordance with sustainable and service-oriented best business practices/models. It is based on optimization, flexibility, self-adaptability and learning, fault tolerance, and risk management. Complete manufacturing digitalization and digital factory are the key elements of Industry 4.0 Program. In collaborative research, which we carry out in the field of quality control and manufacturing metrology at University of Belgrade, Faculty of Mechanical Engineering in Serbia and at Department of Mechanical Engineering, University of Texas, Austin in USA, three research areas are defined: (a) Digital manufacturing - towards Cloud Manufacturing Systems (as a basis for CPS), in which quality and metrology represent integral parts of process optimization based on Taguchi model, and (sic) Cyber-Physical Quality Model (CPQM) - our approach, in which we have developed and tested intelligent model for prismatic parts inspection planning on CMM (Coordinate Measuring Machine). The third research area directs our efforts to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for free-form surfaces; we will illustrate our approach using turbine blade example. This paper will present recent results of our research on CPM3.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Manufacturing Systems 4.0",
title = "Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application",
pages = "663-658",
volume = "63",
doi = "10.1016/j.procir.2017.03.093"
}

Majstorović, V. D., Stojadinović, S., Živković, S. D., Djurdjanović, D., Jakovljević, Ž.,& Gligorijević, N.. (2017). Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application. in Manufacturing Systems 4.0
Elsevier Science Bv, Amsterdam., 63, 658-663.
https://doi.org/10.1016/j.procir.2017.03.093

Majstorović VD, Stojadinović S, Živković SD, Djurdjanović D, Jakovljević Ž, Gligorijević N. Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application. in Manufacturing Systems 4.0. 2017;63:658-663.
doi:10.1016/j.procir.2017.03.093 .

Majstorović, Vidosav D., Stojadinović, Slavenko, Živković, Srđan D., Djurdjanović, Dragan, Jakovljević, Živana, Gligorijević, Nemanja, "Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application" in Manufacturing Systems 4.0, 63 (2017):658-663,
https://doi.org/10.1016/j.procir.2017.03.093 . .

TY  - JOUR
AU  - Majstorović, Vidosav
AU  - Živković, Srđan
AU  - Stojadinović, Slavenko
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6158
AB  - The paper shows the concept of Serbian Industry 4.0 Model based on cyber-physical manufacturing metrology model (CPM3) and an integrated approach to manufacturing quality. The paper presents two directions of research: Virtual optimization of CAI process parameters for the sculptured surface inspection and Intelligent model for Inspection Planning on CMM
PB  - Scientific Technical Union of Mechanical Engineering “Industry 4.0”
T2  - International Scientific Journal Industry 4.0
T1  - Cyber-physical manufacturing metrology model (CPM3)
IS  - 1
VL  - 1
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6158
ER  - 

@article{
author = "Majstorović, Vidosav and Živković, Srđan and Stojadinović, Slavenko",
year = "2016",
abstract = "The paper shows the concept of Serbian Industry 4.0 Model based on cyber-physical manufacturing metrology model (CPM3) and an integrated approach to manufacturing quality. The paper presents two directions of research: Virtual optimization of CAI process parameters for the sculptured surface inspection and Intelligent model for Inspection Planning on CMM",
publisher = "Scientific Technical Union of Mechanical Engineering “Industry 4.0”",
journal = "International Scientific Journal Industry 4.0",
title = "Cyber-physical manufacturing metrology model (CPM3)",
number = "1",
volume = "1",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6158"
}

Majstorović, V., Živković, S.,& Stojadinović, S.. (2016). Cyber-physical manufacturing metrology model (CPM3). in International Scientific Journal Industry 4.0
Scientific Technical Union of Mechanical Engineering “Industry 4.0”., 1(1).
https://hdl.handle.net/21.15107/rcub_machinery_6158

Majstorović V, Živković S, Stojadinović S. Cyber-physical manufacturing metrology model (CPM3). in International Scientific Journal Industry 4.0. 2016;1(1).
https://hdl.handle.net/21.15107/rcub_machinery_6158 .

Majstorović, Vidosav, Živković, Srđan, Stojadinović, Slavenko, "Cyber-physical manufacturing metrology model (CPM3)" in International Scientific Journal Industry 4.0, 1, no. 1 (2016),
https://hdl.handle.net/21.15107/rcub_machinery_6158 .

TY  - JOUR
AU  - Majstorović, Vidosav D.
AU  - Mačužić, Jelena Z.
AU  - Šibalija, Tatjana
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan D.
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2075
AB  - Program Manufuture Vision 2020 razvijen je kao Strategic Research Agenda and Road Maps, kao osnova za EU istraživanja u okviru Horizont 2020. Ovaj dokument je predstavljao odgovor na globalne izazove konkurentnosti i održivog razvoja, želeći da industriju EU što više okrene, inovativnoj proizvodnji zasnovanoj na stvaranju dodatnih vrednosti za kupca i korišćenje ICT tehnologija. Nešto kasnije takođe je javno objavljen dokument - Manufuture a strategic research Agenda '2020-2030' i Roadmaps, kao podrška strukturnim promenama industrije, koja treba da bude orjetisana visokoj automatizaciji, efektivnosti i fleksibilnosti. Tehnološki razvoj vođen unapređenju tehnoloških potencijala u lancu procesa od sirovine do isključenja proizvoda iz upotrebe, kroz stalno unapređenje dodatnih vrednosti za kupca. Navedeni dokumenti Programa Manufuture predstavljaju i proaktivnu akciju zajedničkih istraživanja kroz 40 industrijskih sektora. Ključne oblasti ovih istraživanja su: fabrike budućnosti - the Factory of the Future (FOF), i digitalna proizvodnja - Digital Manufacturing, kao i digitalni kvalitet.
AB  - Program Manufuture Vision 2020 was developed as a Strategic Research Agenda and Road Maps, as a basis for EU research within Horizon 2020. This document is a response to the challenges of global competitiveness and sustainable development, seeking to EU industry as many turns, innovative production based to create additional value for the customer and the use of ICT technologies. Somewhat later also made public a document - Manufuture a strategic research agenda '2020-2030' and Roadmaps, to support structural changes industry, which should be orjetisana high automation, effectiveness and flexibility. Technological developments driven by technological advancement potential in a process chain, from raw materials to the exclusion of the product from use, through continuous improvement of additional value for the customer. These documents Program Manufacture represent a proactive action and collaborative research for 40 industrial sectors. Key areas of this research are: the factory of the future - the Factory of the Future (FOF), and digital production - Digital Manufacturing as well as digital quality.
PB  - Savez inženjera i tehničara Srbije, Beograd
T2  - Tehnika
T1  - Horizont 2020 i program industrija 4.0 - ka digitalnom modelu kvaliteta
T1  - Horizon 2020 program for industry 4.0: Towards a digital model of quality
EP  - 382
IS  - 2
SP  - 376
VL  - 70
DO  - 10.5937/tehnika1502376M
ER  - 

@article{
author = "Majstorović, Vidosav D. and Mačužić, Jelena Z. and Šibalija, Tatjana and Stojadinović, Slavenko and Živković, Srđan D.",
year = "2015",
abstract = "Program Manufuture Vision 2020 razvijen je kao Strategic Research Agenda and Road Maps, kao osnova za EU istraživanja u okviru Horizont 2020. Ovaj dokument je predstavljao odgovor na globalne izazove konkurentnosti i održivog razvoja, želeći da industriju EU što više okrene, inovativnoj proizvodnji zasnovanoj na stvaranju dodatnih vrednosti za kupca i korišćenje ICT tehnologija. Nešto kasnije takođe je javno objavljen dokument - Manufuture a strategic research Agenda '2020-2030' i Roadmaps, kao podrška strukturnim promenama industrije, koja treba da bude orjetisana visokoj automatizaciji, efektivnosti i fleksibilnosti. Tehnološki razvoj vođen unapređenju tehnoloških potencijala u lancu procesa od sirovine do isključenja proizvoda iz upotrebe, kroz stalno unapređenje dodatnih vrednosti za kupca. Navedeni dokumenti Programa Manufuture predstavljaju i proaktivnu akciju zajedničkih istraživanja kroz 40 industrijskih sektora. Ključne oblasti ovih istraživanja su: fabrike budućnosti - the Factory of the Future (FOF), i digitalna proizvodnja - Digital Manufacturing, kao i digitalni kvalitet., Program Manufuture Vision 2020 was developed as a Strategic Research Agenda and Road Maps, as a basis for EU research within Horizon 2020. This document is a response to the challenges of global competitiveness and sustainable development, seeking to EU industry as many turns, innovative production based to create additional value for the customer and the use of ICT technologies. Somewhat later also made public a document - Manufuture a strategic research agenda '2020-2030' and Roadmaps, to support structural changes industry, which should be orjetisana high automation, effectiveness and flexibility. Technological developments driven by technological advancement potential in a process chain, from raw materials to the exclusion of the product from use, through continuous improvement of additional value for the customer. These documents Program Manufacture represent a proactive action and collaborative research for 40 industrial sectors. Key areas of this research are: the factory of the future - the Factory of the Future (FOF), and digital production - Digital Manufacturing as well as digital quality.",
publisher = "Savez inženjera i tehničara Srbije, Beograd",
journal = "Tehnika",
title = "Horizont 2020 i program industrija 4.0 - ka digitalnom modelu kvaliteta, Horizon 2020 program for industry 4.0: Towards a digital model of quality",
pages = "382-376",
number = "2",
volume = "70",
doi = "10.5937/tehnika1502376M"
}

Majstorović, V. D., Mačužić, J. Z., Šibalija, T., Stojadinović, S.,& Živković, S. D.. (2015). Horizont 2020 i program industrija 4.0 - ka digitalnom modelu kvaliteta. in Tehnika
Savez inženjera i tehničara Srbije, Beograd., 70(2), 376-382.
https://doi.org/10.5937/tehnika1502376M

Majstorović VD, Mačužić JZ, Šibalija T, Stojadinović S, Živković SD. Horizont 2020 i program industrija 4.0 - ka digitalnom modelu kvaliteta. in Tehnika. 2015;70(2):376-382.
doi:10.5937/tehnika1502376M .

Majstorović, Vidosav D., Mačužić, Jelena Z., Šibalija, Tatjana, Stojadinović, Slavenko, Živković, Srđan D., "Horizont 2020 i program industrija 4.0 - ka digitalnom modelu kvaliteta" in Tehnika, 70, no. 2 (2015):376-382,
https://doi.org/10.5937/tehnika1502376M . .

TY  - CONF
AU  - Majstorović, Vidosav
AU  - Mačužić, Jelena
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan
AU  - Šibalija, Tatjana
AU  - Marinković, Valentina
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6397
AB  - Cyber-Physical Manufacturing System (CPMS), relying on the newest and foreseeable further developments of computer science, information and communication technologies, on the one hand, and of manufacturing science and technology, on the other hand, may lead to the 4th Industrial Revolution. In order for that to happen we must face the challenges of operating sensor networks, handling big bulks of data, as well as the questions of information retrieval, representation, and interpretation, with special emphasis on security aspects. Novel modes of man-machine communication are to be realized in the course of establishing CPMS. In our Laboratory, in CPMSs we doing next researches areas: (i) Digital Manufacturing – Towards Cloud Manufacturing (base for CPMS), (ii) CPMS – Cyber-Physical Quality Model (CPQM) our approach and (iii) Intelligent model for Inspection Planning on CMM as part of Cyber-Physical Manufacturing Metrology Model (CPM3) concept. In this paper we shall show some research results for these areas.
PB  - Faculty of Mechanical Engineering, Belgrade
C3  - 6th International Symposium оn Industrial Engineering
T1  - Cyber physical manufacturing – integrated quality approach
EP  - 136
SP  - 133
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6397
ER  - 

@conference{
author = "Majstorović, Vidosav and Mačužić, Jelena and Stojadinović, Slavenko and Živković, Srđan and Šibalija, Tatjana and Marinković, Valentina",
year = "2015",
abstract = "Cyber-Physical Manufacturing System (CPMS), relying on the newest and foreseeable further developments of computer science, information and communication technologies, on the one hand, and of manufacturing science and technology, on the other hand, may lead to the 4th Industrial Revolution. In order for that to happen we must face the challenges of operating sensor networks, handling big bulks of data, as well as the questions of information retrieval, representation, and interpretation, with special emphasis on security aspects. Novel modes of man-machine communication are to be realized in the course of establishing CPMS. In our Laboratory, in CPMSs we doing next researches areas: (i) Digital Manufacturing – Towards Cloud Manufacturing (base for CPMS), (ii) CPMS – Cyber-Physical Quality Model (CPQM) our approach and (iii) Intelligent model for Inspection Planning on CMM as part of Cyber-Physical Manufacturing Metrology Model (CPM3) concept. In this paper we shall show some research results for these areas.",
publisher = "Faculty of Mechanical Engineering, Belgrade",
journal = "6th International Symposium оn Industrial Engineering",
title = "Cyber physical manufacturing – integrated quality approach",
pages = "136-133",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6397"
}

Majstorović, V., Mačužić, J., Stojadinović, S., Živković, S., Šibalija, T.,& Marinković, V.. (2015). Cyber physical manufacturing – integrated quality approach. in 6th International Symposium оn Industrial Engineering
Faculty of Mechanical Engineering, Belgrade., 133-136.
https://hdl.handle.net/21.15107/rcub_machinery_6397

Majstorović V, Mačužić J, Stojadinović S, Živković S, Šibalija T, Marinković V. Cyber physical manufacturing – integrated quality approach. in 6th International Symposium оn Industrial Engineering. 2015;:133-136.
https://hdl.handle.net/21.15107/rcub_machinery_6397 .

Majstorović, Vidosav, Mačužić, Jelena, Stojadinović, Slavenko, Živković, Srđan, Šibalija, Tatjana, Marinković, Valentina, "Cyber physical manufacturing – integrated quality approach" in 6th International Symposium оn Industrial Engineering (2015):133-136,
https://hdl.handle.net/21.15107/rcub_machinery_6397 .

TY  - JOUR
AU  - Miltenović, Đorđe
AU  - Tica, Milan
AU  - Miltenović, Aleksandar
AU  - Banić, Milan
AU  - Živković, Srđan D.
AU  - Mišković, Žarko
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1992
AB  - Crossed helical gears are used in cars and in many household appliances. The trend towards increased comfort in motor vehicles has led to the utilisation of more than a hundred servo-drives in luxury class automobiles. Important advantages of crossed helical gears are their easy and inexpensive design, low noise performance and high gear ratio that can be realised in one step. Sintered steel is a material with very favourable properties for the manufacture of crossed helical gears. High demands are set on gears made from sintered steel regarding wear and pitting load capacity. This report shows the results of the investigation into pitting resistance of crossed helical gears made of iron-based sintered material Fe1.5Cr0.2Mo that has undergone additional treatment.
PB  - Transactions of Famena
T2  - Transactions of Famena
T1  - Pitting of tooth flanks of crossed helical gears made of sintered steel
EP  - 88
IS  - 4
SP  - 77
VL  - 38
UR  - https://hdl.handle.net/21.15107/rcub_machinery_1992
ER  - 

@article{
author = "Miltenović, Đorđe and Tica, Milan and Miltenović, Aleksandar and Banić, Milan and Živković, Srđan D. and Mišković, Žarko",
year = "2014",
abstract = "Crossed helical gears are used in cars and in many household appliances. The trend towards increased comfort in motor vehicles has led to the utilisation of more than a hundred servo-drives in luxury class automobiles. Important advantages of crossed helical gears are their easy and inexpensive design, low noise performance and high gear ratio that can be realised in one step. Sintered steel is a material with very favourable properties for the manufacture of crossed helical gears. High demands are set on gears made from sintered steel regarding wear and pitting load capacity. This report shows the results of the investigation into pitting resistance of crossed helical gears made of iron-based sintered material Fe1.5Cr0.2Mo that has undergone additional treatment.",
publisher = "Transactions of Famena",
journal = "Transactions of Famena",
title = "Pitting of tooth flanks of crossed helical gears made of sintered steel",
pages = "88-77",
number = "4",
volume = "38",
url = "https://hdl.handle.net/21.15107/rcub_machinery_1992"
}

Miltenović, Đ., Tica, M., Miltenović, A., Banić, M., Živković, S. D.,& Mišković, Ž.. (2014). Pitting of tooth flanks of crossed helical gears made of sintered steel. in Transactions of Famena
Transactions of Famena., 38(4), 77-88.
https://hdl.handle.net/21.15107/rcub_machinery_1992

Miltenović Đ, Tica M, Miltenović A, Banić M, Živković SD, Mišković Ž. Pitting of tooth flanks of crossed helical gears made of sintered steel. in Transactions of Famena. 2014;38(4):77-88.
https://hdl.handle.net/21.15107/rcub_machinery_1992 .

Miltenović, Đorđe, Tica, Milan, Miltenović, Aleksandar, Banić, Milan, Živković, Srđan D., Mišković, Žarko, "Pitting of tooth flanks of crossed helical gears made of sintered steel" in Transactions of Famena, 38, no. 4 (2014):77-88,
https://hdl.handle.net/21.15107/rcub_machinery_1992 .