非传统加工过程的模糊建模与参数化分析

IF 0.9 Q4 ENGINEERING, INDUSTRIAL Management and Production Engineering Review Pub Date : 2023-11-06 DOI:10.24425/mper.2019.130504
Shankar Chakraborty, Partha Protim Das
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Fuzzy modeling and parametric analysis of non-traditional machining processes
The application of artificial intelligence (AI) in modeling of various machining processes has been the topic of immense interest among the researchers since several years. In this direc-tion, the principle of fuzzy logic, a paradigm of AI technique, is effectively being utilized to predict various performance measures (responses) and control the parametric settings of those machining processes. This paper presents the application of fuzzy logic to model two non-traditional machining (NTM) processes, i.e. electrical discharge machining (EDM) and electrochemical machining (ECM) processes, while identifying the relationships present be- tween the process parameters and the measured responses. Moreover, the interaction plots which are developed based on the past experimental observations depict the effects of chang- ing values of different process parameters on the measured responses. The predicted response values derived from the developed models are observed to be in close agreement with those as investigated during the past experimental runs. The interaction plots also play signifi-cant roles in identifying the optimal parametric combinations so as to achieve the desired responses for the considered NTM processes.
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来源期刊
CiteScore
2.80
自引率
21.40%
发文量
0
期刊介绍: Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.
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