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Publications in Scientific Journals:

M.N. Durakbasa et al.:
"Advanced Metrology and Intelligent Quality Automation for Industry 4.0-Based Precision Manufacturing Systems";
Solid State Phenomena Trans Tech Publications, 1 (2017), 261; 432 - 438.



English abstract:
Intelligence is an essential feature of future development and production systems, and intelligent production is a major component of future business. To meet market demands in present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes also according technological developments especially in the field of precision engineering at micro/nano and pico scale production. With support of AI and modern IT it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of modern Integrated Management Systems - IMS and intelligent advanced metrology. New levels of manufacturing precision are the key requirements to enable advanced machining processes that demands improved techniques of metrology with high flexibility, universality and high accuracy.
This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques. Moreover by utilizing advanced information analytics, networked intelligent machines and instruments will be able to perform more efficiently, collaboratively and sustainably, that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs towards Industry 4.0. The intelligent quality automation in precision manufacturing systems especially the off-line/on-line programming technique for advanced 3D metrology as basis for simultaneous quality assurance and an intelligent measuring system for autonomation of quality assurance, data collection and data evaluation in such novel systems are proposed and discussed.

Keywords:
integrated management system, advanced production, artificial intelligence, MFIF, IQM, autonomation, Industry 4.0.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.4028/www.scientific.net/SSP.261.432

Electronic version of the publication:
http://publik.tuwien.ac.at/files/publik_261579.gif


Created from the Publication Database of the Vienna University of Technology.