Workpiece Surface Temperature for In-process Surface Roughness Prediction using Response Surface Methodology-Reference-Cited by-同舟云学术

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Workpiece Surface Temperature for In-process Surface Roughness Prediction using Response Surface Methodology

Published:2011-01-01 Issue:2 Volume:11 Page:308-315
ISSN:1812-5654
Container-title:Journal of Applied Sciences
language:
Short-container-title:J. of Applied Sciences

Author:

Suhail Adeel H.,Ismail N.,Wong S.V.,Abdul Jali N.A.

Publisher

Science Alert

Subject

Multidisciplinary

Link

https://www.scialert.net/fulltext/?doi=jas.2011.308.315&org=11

Cited by 9 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. An in-process machined surface roughness classification using an ensemble learning algorithm based on extracted automated features from real-time surface images in milling process;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-01-12

2. Multi objective optimization of process parameters in hard turning of AISI 52100 steel with surface irregularities using GRA-PCA;Engineering Research Express;2023-10-11

3. Multi-Objective Optimization of Performance Indicators in Turning of AISI 1045 under Dry Cutting Conditions;Metals;2023-01-02

4. Multi-performance optimization on hard-turning for improving the product quality of high-chromium stainless steel;Materials Today: Proceedings;2022

5. Statistical Analysis of the Effect of the Cutting Tool Coating Type on Sustainable Machining Parameters;Journal of Materials Engineering and Performance;2021-08-23

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