An appliance of adaptive Neuro-Fuzzy inference system for predicting the surface roughness of Al-4.5%Cu-TiC MMC in turning operation of CNC milling-Reference-Cited by-同舟云学术

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An appliance of adaptive Neuro-Fuzzy inference system for predicting the surface roughness of Al-4.5%Cu-TiC MMC in turning operation of CNC milling

Published:2022 Issue: Volume:62 Page:3749-3755
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Roy Susmita,Das Biswajit

Publisher

Elsevier BV

Subject

General Medicine

Reference19 articles.

1. Combined effect of reinforcement and heat treatment on the two body abrasive wear of aluminum alloy and aluminum particle composites;Sawla;Wear,2004

2. Wear behavior of Al–Mg–Cu–based composites containing SiC particles;Hassan;Tribol Int,2009

3. A model for the abrasive wear behaviour of aluminium based composites;Sahin;Mate Design,2008

4. Tribological behaviour of metal matrix and its composite;Sahin;Mater Design,2007

5. Surface finish prediction models for fine turning;Mital;Int J Product Res,1988

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Establishment of Real-Time Adaptive Control Strategy for Milling Parameters;IEEE Access;2023

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