Surface Roughness Prediction in Turning of Super Alloy through the Scaled Conjugate Gradient Model-Reference-Cited by-同舟云学术

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Surface Roughness Prediction in Turning of Super Alloy through the Scaled Conjugate Gradient Model

Published:2023-08-18 Issue: Volume: Page:1194-1199
ISSN:
Container-title:2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
language:
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Author:

Mohamed Aezeden¹,Deepak B B V L²,Rao Mogili Umamaheswara³

Affiliation:

1. PNG University of Technology,Department of Mechanical Engineering,Papua New Guinea

2. National Institute of Technology,Department of Industrial Design,Rourkela,India

3. University of Technology and Medical Sciences,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391093/10391094/10391470.pdf?arnumber=10391470

Reference19 articles.

1. Prediction of surface roughness in turning of duplex stainless steel (DSS) using response surface methodology (RSM) and artificial neural network (ANN)

2. Gaussian process regression for tool wear prediction

3. Modeling of Cutting Force in the Turning of AISI 4340 Using Gaussian Process Regression Algorithm

4. Prediction the Influence of Machining Parameters for CNC Turning of Aluminum Alloy Using RSM and ANN

5. Surface Roughness Prediction in Turning of Monel K 500 using DWT Technique;V

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