An approach of development smart manufacturing metrology model as support industry 4.0
Апстракт
The framework for smart manufacturing metrology model (S3M), 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). S3M has an extremely expressed requirement for better control, monitoring and data mining. Limitations still exist in data storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. This paper will present recent results of our research on building of S3M as support Industry 4.0. Presented approach to S3M development includes four levels: (i) mathematical model of the measuring sensor path, which establishes a connection between the coordinate systems; (ii) generating the needed set of information to integrate the given tolerances and geometry of the parts by applying an ontological knowledge base; (iii) ...the application of AI techniques such as ACO and GA to optimize the measurement path, numbers of measuring part setup and configuration of the measuring probes; (iv) simulation of measurement path for a collision check. 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 examples of prismatic part and two turbine blades or its free-form measuring surfaces.
Кључне речи:
Smart metrology / Prismatic parts / Inspection planning / Industry 4.0 / Free-form surfaces / CMMИзвор:
Lecture Notes in Mechanical Engineering, 2020, 190-204Издавач:
- Springer Science and Business Media Deutschland GmbH
Финансирање / пројекти:
- Развој нове генерације домаћих обрадних система (RS-MESTD-Technological Development (TD or TR)-35022)
- Интелигентни роботски системи за екстремно диверзификовану производњу (RS-MESTD-Technological Development (TD or TR)-35007)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Stojadinović, Slavenko AU - Majstorović, Vidosav D. AU - Djurdjanović, Dragan AU - Živković, Saša PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3451 AB - The framework for smart manufacturing metrology model (S3M), 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). S3M has an extremely expressed requirement for better control, monitoring and data mining. Limitations still exist in data storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. This paper will present recent results of our research on building of S3M as support Industry 4.0. Presented approach to S3M development includes four levels: (i) mathematical model of the measuring sensor path, which establishes a connection between the coordinate systems; (ii) generating the needed set of information to integrate the given tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as ACO and GA to optimize the measurement path, numbers of measuring part setup and configuration of the measuring probes; (iv) simulation of measurement path for a collision check. 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 examples of prismatic part and two turbine blades or its free-form measuring surfaces. PB - Springer Science and Business Media Deutschland GmbH C3 - Lecture Notes in Mechanical Engineering T1 - An approach of development smart manufacturing metrology model as support industry 4.0 EP - 204 SP - 190 DO - 10.1007/978-3-030-46212-3_13 ER -
@conference{ author = "Stojadinović, Slavenko and Majstorović, Vidosav D. and Djurdjanović, Dragan and Živković, Saša", year = "2020", abstract = "The framework for smart manufacturing metrology model (S3M), 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). S3M has an extremely expressed requirement for better control, monitoring and data mining. Limitations still exist in data storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. This paper will present recent results of our research on building of S3M as support Industry 4.0. Presented approach to S3M development includes four levels: (i) mathematical model of the measuring sensor path, which establishes a connection between the coordinate systems; (ii) generating the needed set of information to integrate the given tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as ACO and GA to optimize the measurement path, numbers of measuring part setup and configuration of the measuring probes; (iv) simulation of measurement path for a collision check. 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 examples of prismatic part and two turbine blades or its free-form measuring surfaces.", publisher = "Springer Science and Business Media Deutschland GmbH", journal = "Lecture Notes in Mechanical Engineering", title = "An approach of development smart manufacturing metrology model as support industry 4.0", pages = "204-190", doi = "10.1007/978-3-030-46212-3_13" }
Stojadinović, S., Majstorović, V. D., Djurdjanović, D.,& Živković, S.. (2020). An approach of development smart manufacturing metrology model as support industry 4.0. in Lecture Notes in Mechanical Engineering Springer Science and Business Media Deutschland GmbH., 190-204. https://doi.org/10.1007/978-3-030-46212-3_13
Stojadinović S, Majstorović VD, Djurdjanović D, Živković S. An approach of development smart manufacturing metrology model as support industry 4.0. in Lecture Notes in Mechanical Engineering. 2020;:190-204. doi:10.1007/978-3-030-46212-3_13 .
Stojadinović, Slavenko, Majstorović, Vidosav D., Djurdjanović, Dragan, Živković, Saša, "An approach of development smart manufacturing metrology model as support industry 4.0" in Lecture Notes in Mechanical Engineering (2020):190-204, https://doi.org/10.1007/978-3-030-46212-3_13 . .