New Trends in Manufacturing– Industry 4.0 Metrology Concept

Abstract

Industry 4.0 represents a new concept which creates new requirements in the area of manufacturing and manufacturing metrology 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. Industry 4.0 has an extremely expressed requirement for better control, monitoring and data mining. This paper presents new trends in manufacturing – industry 4.0 metrology concept on the example a developed inspection planning system based on coordinate measuring machine as support of manufacturing metrology 4.0 (M4.0). CMM is widely recognized as universal and most used measuring equipment in industry. The framework M4.0, 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 STEP-NC Machine software as well, the model of optimization measuring path by applying ants colony optimization. Presented approach to development includes four levels: (i) mathematical modeling: model of the measuring sensor path; (ii) data modeling: generating the needed set of information to integrate the given tolerances and geometry of the parts by standard ISO 1101 and developed ontological knowledge base; (iii) application of artificial intelligence techniques 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 by generated algorithms and simulating of them. 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 model 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 as early as in the inspection planning phase and minimizing human involvement or human errors through intelligent planning, which directly influences increased production efficiency, competitiveness, and productivity of enterprises. The simulation enables digital measurement twin and monitoring the measuring operation of a real CMM based on a virtual one. The measuring experiment was performed using two machined prismatic workpieces