Response Surface Modelling and Effective Application of Adaptive Neuro-Fuzzy Inference System to Analyze Surface Roughness of Al/Gr/Cp5 MMC Machined using WEDM-Reference-Cited by-同舟云学术

Response Surface Modelling and Effective Application of Adaptive Neuro-Fuzzy Inference System to Analyze Surface Roughness of Al/Gr/Cp5 MMC Machined using WEDM

Published:2021-04-26 Issue: Volume: Page:1-15
ISSN:1448-4846
Container-title:Australian Journal of Mechanical Engineering
language:en
Short-container-title:Australian Journal of Mechanical Engineering

Author:

Phate Mangesh¹^ORCID,Toney Shraddha²^ORCID,Phate Vikas³^ORCID

Affiliation:

1. Department of Mechanical Engineering, AISSMS College of Engineering, Pune, India

2. Department of Computer Engineering, SITES Sinhgad Institute of Tech. & Science, Pune, India

3. Department of Electronics, Government Polytechnic Murtizapur, Akola, India

Publisher

Informa UK Limited

Subject

Mechanical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/14484846.2021.1913852

Reference24 articles.

1. Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization

2. Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al–SiC metal matrix composite

3. Optimization in wire-cut EDM of Nimonic-80A using Taguchi's approach and utility concept

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