Optimization and Prediction of Responses Using Artificial Neural Network and Adaptive Neuro-Fuzzy Interference System during Taper Profiling on Pyromet-680 Using ... View Full Text


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Article Info

DATE

2022-07-26

AUTHORS

I. V. Manoj, M. Manjaiah, S. Narendranath

ABSTRACT

In the present study, taper cutting is performed with the aid of a uniquely designed fixture. This is attempted to avoid the difficulties in tapering using wire electric discharge machining like wire break, dimensional error, guide wear, non-uniform flushing and low surface quality. An investigation of output parameters was made during taper machining using a fixture. The cutting rate (CR) and surface roughness (SR) were considered for response surface optimization (RSM) as they were important response parameters that indicate the quality of a machined component. It is observed that servo gap voltage and pulse act contrastingly on the output parameters. For achieving a trade-off of input parameters with output responses, RSM optimization is selected during taper profiling. There were 3-5% variations for both CR and SR when compared to experimental and RSM optimal values. The tapered profile slots of different angles like 0°, 15° and 30° were machined on Pyromet-680 using optimal machining parameters. The effect of different profiling parameters like wire distance between guides (WD), dwell time (DT), profile offset (PO) and cutting speed override (CO) on output responses like CR and SR was analyzed. Adaptive neuro-fuzzy interference system (ANFIS) and artificial neural network (ANN) models have been established for the prediction of the output responses. The validation is performed by experimentation, and the prediction errors ranged from 0 to 5% for both the responses CR and SR in ANFIS models. So ANFIS models proved to be the most efficient as there is an improvement of 45-50% in prediction compared to ANN models. More... »

PAGES

1-13

References to SciGraph publications

  • 2019-01-04. Fiber orientations effect on process performance for wire cut electrical discharge machining (WEDM) of 2D C/SiC composite in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2019-09-17. Investigation on the Effect of Variation in Cutting Speeds and Angle of Cut During Slant Type Taper Cutting in WEDM of Hastelloy X in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • 2014-09-27. ANN and multiple regression method-based modelling of cutting forces in orthogonal machining of AISI 316L stainless steel in NEURAL COMPUTING AND APPLICATIONS
  • 2015-09-28. Experimental investigation on wire vibration during fine wire electrical discharge machining process in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2016-12-28. Potential ANN prediction model for multiperformances WEDM on Inconel 718 in NEURAL COMPUTING AND APPLICATIONS
  • 2013-10-05. Problems and solutions in machining of titanium alloys in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2020-11-12. Experimental Investigation on Tool Wear in AISI H13 Die Steel Turning Using RSM and ANN Methods in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • 2016-10-26. Large taper mechanism of HS-WEDM in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-09-15. Integrated ANN-LWPA for cutting parameter optimization in WEDM in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2008-11-26. Original models for the prediction of angular error in wire-EDM taper-cutting in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2017-11-21. Modeling and analysis of surface roughness of microchannels produced by μ-WEDM using an ANN and Taguchi method in JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
  • 2019-05-08. Using a DoE for a comprehensive analysis of the surface quality and cutting speed in WED-machined hadfield steel in JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
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