Characterization and Utilization of the Intelligent Decision Making Methodology to Improve Quality and Precision in the Machining Process

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Today’s manufacturing industry, as the backbone of European manufacturing, faces challenges in improved quality and precision requirements to operate competitively. Due to the complexity of the manufacturing systems, enhancement of the competitiveness can be achieved by systematic modeling, characterization and efficient exploitation of knowledge in the processes integrated with the quality methodology under guidance of the international standards.This paper provides an intelligent decision making methodology enabled by numerical analysis for developing a mechanism in the manufacturing industry firstly by modeling the processes integrated with the quality management approach as well as applying high precision metrology techniques in a laboratory.

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92-99

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February 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] P. Kopacek, Intelligent Manufacturing: Present State and Future Trends, Journal of Intelligent and Robotic Systems, Volume 26 (1999), pp: 217-229.

Google Scholar

[2] ISO/DIS 9001: 2014: Quality management systems - Requirements.

Google Scholar

[3] EN/ISO 9004: 2009: Managing for the sustained success of an organization - A quality management approach.

Google Scholar

[4] ISO/DIS 14001: 2014: Environmental management systems - Requirements with guidance for use.

Google Scholar

[5] ISO 50001: 2011: Energy management systems - Requirements with guidance for use.

Google Scholar

[6] M.N. Durakbasa, P.H. Osanna, Quality in Industry, Department for Interchangeable Manufacturing and. Industrial Metrology, Vienna University of Technology, Vienna, (2009).

Google Scholar

[7] R.K. Leach. R. Boyd, T. Burke, H.U. Danzebrink, K. Dirscherl., T. Dziomba, M. Gee, L. Koenders, V. Morazzani, A. Pidduck, D. Roy, W.E.S. Unger, A. Yacoot, The European nanometrology landscape. Nanotechnology, Volume 22, Number 6, (2011).

DOI: 10.1088/0957-4484/22/6/062001

Google Scholar

[8] C. Felho, B. Karpuschewski, J. Kundrak, Surface Roughness Modelling in Face Milling, Procedia CIRP, Volume 31 (2015), p. pp.136-141.

DOI: 10.1016/j.procir.2015.03.075

Google Scholar

[9] G. Varga, J. Kundrák, Effect of environmentally conscious machining on machined surface quality, Applied Mechanics and Materials, Volume 309 (2013), pp.35-42.

DOI: 10.4028/www.scientific.net/amm.309.35

Google Scholar

[10] G. Krolczyk, , S. Legutko, Investigations into Surface Integrity in the Turning Process of Duplex Stainless Steel. Transactions of FAMENA, Volume 38 (2014), pp: 77-82.

Google Scholar

[11] G. Krolczyk, S. Legutko, Experimental analysis by measurement of surface roughness variations in turning process of duplex stainless steel. Metrology and Measurement Systems, Volume 21 (2014), pp: 759-770.

DOI: 10.2478/mms-2014-0060

Google Scholar

[12] S. Wojciechowski, P. Twardowski, M. Wieczorowski, Surface texture analysis after ball end milling with various surface inclination of hardened steel, Metrology and Measurement Systems, Volume 21, (2014), pp: 145-156.

DOI: 10.2478/mms-2014-0014

Google Scholar

[13] L.A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes. Systems, Man and Cybernetics, IEEE Transactions on, Volume 1 (1973), pp: 28-44.

DOI: 10.1109/tsmc.1973.5408575

Google Scholar

[14] L.A. Zadeh, Fuzzy sets. Information and control, Volume 8 (1965), pp: 338-353.

Google Scholar

[15] M.N. Durakbasa, P.H. Osanna, J.M. Bauer, G. Bas, Innovation In Production Metrology For Precision Engineering And To Support Sustainability And Improvement Of Process And Product Quality In Modern Manufacturing Industry, MSD Journal, Volume 4 (2012).

Google Scholar