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Published in: The International Journal of Advanced Manufacturing Technology 9-12/2019

21-05-2019 | ORIGINAL ARTICLE

Process parameter selection for optical silicon considering both experimental and AE results using Taguchi L9 orthogonal design

Authors: Lukman N. Abdulkadir, Khaled Abou-El-Hossein, Adekunle Moshood Abioye, Muhammad M. Liman, Yuan-Chieh Cheng, Abdalla A. S. Abbas

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-12/2019

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Abstract

Optical industry has since been employing the use of ultra-high precision machining (UHPM) to manufacture wide range of optical products. One of the major materials used for producing optical product is optical silicon. However, improving surface quality of the product within 10 nm Ra has remained a research focus. Surface roughness during optical silicon turning which is an important quality determinant depends on factors such as feed rate, depth of cut, cutting speed, nose radius, clearance, and rake angles. To achieve required/targeted quality characteristic, there is need for appropriate selection of these process parameters. Therefore, to create a manufacturing industry that is autonomous, a reliable monitoring system for increased production needs to be developed. This research discussed process parameter selection through variation and application of acoustic emission monitoring technique for obtaining optimal surface roughness in ultra-high precision turning (UHPT) of optical silicon using the Taguchi L9 design. The result obtained showed 100% similarity between the experimental and acoustic emission prediction and the superiority of cutting speed over both nose radius and rake angle.

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Metadata
Title
Process parameter selection for optical silicon considering both experimental and AE results using Taguchi L9 orthogonal design
Authors
Lukman N. Abdulkadir
Khaled Abou-El-Hossein
Adekunle Moshood Abioye
Muhammad M. Liman
Yuan-Chieh Cheng
Abdalla A. S. Abbas
Publication date
21-05-2019
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 9-12/2019
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-03788-x

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