WSEAS Transactions on Environment and Development

Print ISSN: 1790-5079
E-ISSN: 2224-3496

Volume 13, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 13, 2017

Towards Zero-Defect Manufacturing with a Combined Online - Offline Fuzzy-Nets Approach in Wire Electrical Discharge Machining

AUTHORS: Ahmed Bufardi, Olcay Akten, Muhammad Arif, Paul Xirouchakis, Roberto Perez

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ABSTRACT: Current practice of wire electrical discharge machining (W-EDM) is not defect free and still a number of parts produced by WEDM processes are rejected due to different defects. The main defects related to surface quality of W-EDMed parts include occurrence of surface lines, surface roughness, and recast layer (also called white layer). In this paper we characterize the different types of defects and for each of them we propose the appropriate approach to handle it. To achieve zero-defect manufacturing in W-EDM, one can intervene before starting machining operations through selecting the best combination of values of process parameters to meet required levels of performance for part quality characteristics, and during machining operations through monitoring machining conditions to predict any potential defect and take appropriate actions to prevent the effective occurrence of defects if and when predicted. This paper addresses both issues and a combined online - offline fuzzy-nets approach is proposed. It is noteworthy, that for the first time in the published literature, an approach is presented to prevent the occurrence of surface lines in W-EDM; this is accomplished by our experimentally validated system by: (i) high frequency sensing and processing of the current signal in the discharge zone; (ii) the development of a new algorithm for the detection and calculation of the duration of a series of consecutive short circuits; and (iii) the proactive adjustment of the pulse–off time through an adaptive fuzzy nets system.

KEYWORDS: Critical process variable, part quality characteristic, vital process parameter, WEDM


[1] Westkamper E, Warnecke HJ. Zero-defect manufacturing by means of a learning supervision of process chains. Annals of the CIRP 1994; 43: 405-408.

[2] Portillo E, Marcos M, Cabanes I, Orive D. Realtime monitoring and diagnosing in wire-electro discharge machining. International Journal of Advanced Manufacturing Technology 2009; 44: 273-282.

[3] Aspinwall DK, Soo SL, Berrisford AE, Walder G. Workpiece surface roughness and integrity after WEDM of Ti-6Al-4V and Inconel 718 using minimum damage generator technology. CIRP Annals - Manufacturing Technology 2008; 57: 187- 190.

[4] Liao YS, Huang JT, Chen YH. A study to achieve a fine surface finish in Wire-EDM. Journal of Materials Processing Technology 2004; 149: 165–171.

[5] Wang LX, Mendel JM. Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man and Cybernetics 1992; 22:1414-1427.

[6] Chen JC. Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations. In: Wang et al., editors. Computational Intelligence in Manufacturing Handbook, Boca Raton: CRC Press LLC; 2001. p. 16.1-16.14. Strunk Jr W, White EB. The elements of style. 3rd ed. New York: Macmillan; 1979.

[7] Mamdani EH, Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies 1975; 7:1–13.

[8] Hammell II RJ, Sudkamp T. Learning fuzzy rules from data. In Proc. NATO RTO Meeting 3: Appl. Inf. Technol. (Comput. Sci.) Mission Syst., 1998, pp. 8-1..8-10.

[9] Yang JL. Development of a fuzzy-nets-based adapted surface roughness control (FNASRC) system in end-milling operations. Dissertation, Iowa State University. 2002.

[10] Akten O. Development of a System for Part Quality Prediction and Process Parameters Adjustment in Wire Electrical Discharge Machining. PhD thesis, Ecole Polytechnique Fédérale de Lausanne, 2015

WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #42, pp. 401-409

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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