Digital measuring systems in smart manufacturing context
2023
Konferencijski prilog (Objavljena verzija)
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Izdavač
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Smart manufacturing represents a new concept which creates new requirements in manufacturing and manufacturing metrology area such as flexibility, mass customization, quality of product, digital twin, optimization, internet of things, big data etc. all of them towards real time control and monitoring all manufacturing processes including and metrological processes. Smart manufacturing an extremely expressed requirement for better control, monitoring and data mining. This paper presents new approach of development smart manufacturing – smart metrology concept on the example an digital measuring system (DMS) based on coordinate measuring machine (CMM) and digital measuring twin (DMT). The framework DMS, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of inspection protocol for CMM. The system is based on the application of three AI techniques such as engineering ontology, ...genetics algorithm and ants colony optimization. The developed system consists of: the ontological knowledge base; the mathematical model for generating strategy of initial measuring path; the model of analysis and optimization of workpiece setups and probe configuration; the path simulation model in MatLab, PTC Creo and PC-DMIS software as well, the model of optimization measuring path by applying ants colony optimization. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list and measuring protocol for appropriate CMM. The advantage of the DMS is its suitability for monitoring and digitalization of the measurement process planning, simulation carried out and measurement verification based on CMM, reduction of the overall measurement time and minimizing human involvement or human errors through intelligent planning, which directly influences increased production efficiency, competitiveness, and productivity of enterprises. The simulation enables DMT and monitoring the measuring operation of a real CMM based on a virtual one.
Ključne reči:
Digital system / Measuring system / Smart manufacturing / Digital Twin / CMMIzvor:
32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania, 2023, 18, 1Izdavač:
- Association ICMAS and University "Politehnica" of Bucharest, Robots and Manufacturing Systems Department
Finansiranje / projekti:
- Razvoj nove generacije domaćih obradnih sistema (RS-MESTD-Technological Development (TD or TR)-35022)
Napomena:
- The paper is printed in Proceedings in Manufacturing Systems Journal.
Kolekcije
Institucija/grupa
Mašinski fakultetTY - CONF AU - Stojadinović, Slavenko AU - Majstorović, Vidosav PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7222 AB - Smart manufacturing represents a new concept which creates new requirements in manufacturing and manufacturing metrology area such as flexibility, mass customization, quality of product, digital twin, optimization, internet of things, big data etc. all of them towards real time control and monitoring all manufacturing processes including and metrological processes. Smart manufacturing an extremely expressed requirement for better control, monitoring and data mining. This paper presents new approach of development smart manufacturing – smart metrology concept on the example an digital measuring system (DMS) based on coordinate measuring machine (CMM) and digital measuring twin (DMT). The framework DMS, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of inspection protocol for CMM. The system is based on the application of three AI techniques such as engineering ontology, genetics algorithm and ants colony optimization. The developed system consists of: the ontological knowledge base; the mathematical model for generating strategy of initial measuring path; the model of analysis and optimization of workpiece setups and probe configuration; the path simulation model in MatLab, PTC Creo and PC-DMIS software as well, the model of optimization measuring path by applying ants colony optimization. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list and measuring protocol for appropriate CMM. The advantage of the DMS is its suitability for monitoring and digitalization of the measurement process planning, simulation carried out and measurement verification based on CMM, reduction of the overall measurement time and minimizing human involvement or human errors through intelligent planning, which directly influences increased production efficiency, competitiveness, and productivity of enterprises. The simulation enables DMT and monitoring the measuring operation of a real CMM based on a virtual one. PB - Association ICMAS and University "Politehnica" of Bucharest, Robots and Manufacturing Systems Department C3 - 32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania T1 - Digital measuring systems in smart manufacturing context IS - 1 VL - 18 UR - https://hdl.handle.net/21.15107/rcub_machinery_7222 ER -
@conference{ author = "Stojadinović, Slavenko and Majstorović, Vidosav", year = "2023", abstract = "Smart manufacturing represents a new concept which creates new requirements in manufacturing and manufacturing metrology area such as flexibility, mass customization, quality of product, digital twin, optimization, internet of things, big data etc. all of them towards real time control and monitoring all manufacturing processes including and metrological processes. Smart manufacturing an extremely expressed requirement for better control, monitoring and data mining. This paper presents new approach of development smart manufacturing – smart metrology concept on the example an digital measuring system (DMS) based on coordinate measuring machine (CMM) and digital measuring twin (DMT). The framework DMS, are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of inspection protocol for CMM. The system is based on the application of three AI techniques such as engineering ontology, genetics algorithm and ants colony optimization. The developed system consists of: the ontological knowledge base; the mathematical model for generating strategy of initial measuring path; the model of analysis and optimization of workpiece setups and probe configuration; the path simulation model in MatLab, PTC Creo and PC-DMIS software as well, the model of optimization measuring path by applying ants colony optimization. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list and measuring protocol for appropriate CMM. The advantage of the DMS is its suitability for monitoring and digitalization of the measurement process planning, simulation carried out and measurement verification based on CMM, reduction of the overall measurement time and minimizing human involvement or human errors through intelligent planning, which directly influences increased production efficiency, competitiveness, and productivity of enterprises. The simulation enables DMT and monitoring the measuring operation of a real CMM based on a virtual one.", publisher = "Association ICMAS and University "Politehnica" of Bucharest, Robots and Manufacturing Systems Department", journal = "32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania", title = "Digital measuring systems in smart manufacturing context", number = "1", volume = "18", url = "https://hdl.handle.net/21.15107/rcub_machinery_7222" }
Stojadinović, S.,& Majstorović, V.. (2023). Digital measuring systems in smart manufacturing context. in 32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania Association ICMAS and University "Politehnica" of Bucharest, Robots and Manufacturing Systems Department., 18(1). https://hdl.handle.net/21.15107/rcub_machinery_7222
Stojadinović S, Majstorović V. Digital measuring systems in smart manufacturing context. in 32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania. 2023;18(1). https://hdl.handle.net/21.15107/rcub_machinery_7222 .
Stojadinović, Slavenko, Majstorović, Vidosav, "Digital measuring systems in smart manufacturing context" in 32nd International Conference on Manufacturing Systems (ICMaS 2023), University "Politehnica" of Bucharest 313, Splaiul Independentei, Sector 6, 060042, Bucharest, Romania, 18, no. 1 (2023), https://hdl.handle.net/21.15107/rcub_machinery_7222 .