Surface roughness modeling in high speed hard turning using regression analysis
Surface roughness plays an important role in the final quality of the machining parts. Therefore, predicting and simulating the roughness before the machining process is an important issue. The purpose of this research is to develop a reliable model for predicting and simulating the average surface...
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| Format: | Article |
| Language: | English English |
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Praise Worthy Prize
2014
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| Online Access: | http://irep.iium.edu.my/36862/ http://irep.iium.edu.my/36862/1/017-Al_Hazza_def_15204_-1.pdf http://irep.iium.edu.my/36862/4/36862_Surface%20roughness_scopus.pdf |
| _version_ | 1848781309818699776 |
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| author | Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah |
| author_facet | Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah |
| author_sort | Al Hazza, Muataz Hazza Faizi |
| building | IIUM Repository |
| collection | Online Access |
| description | Surface roughness plays an important role in the final quality of the machining parts. Therefore, predicting and simulating the roughness before the machining process is an important issue. The purpose of this research is to develop a reliable model for predicting and simulating the average surface roughness (Ra) in high speed hard turning. An experimental investigation was conducted to predict the surface roughness in the finish hard turning with higher cutting speed. A set of sparse experimental data for finish turning of hardened steel (AISI 4340) and mixed ceramic inserts made up of aluminum oxide and titanium carbide were used as work piece and cutting tools materials. Four different models for the surface roughness were developed by using regression analysis and artificial neural network techniques. Two different techniques have been used in the regression analysis; Box Behnken Design (BBD) and Face Central Cubic Design (FCC).. The BBD model gave better prediction than the FCC in the design boundary |
| first_indexed | 2025-11-14T15:47:31Z |
| format | Article |
| id | iium-36862 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:47:31Z |
| publishDate | 2014 |
| publisher | Praise Worthy Prize |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-368622017-09-19T08:32:08Z http://irep.iium.edu.my/36862/ Surface roughness modeling in high speed hard turning using regression analysis Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah T Technology (General) Surface roughness plays an important role in the final quality of the machining parts. Therefore, predicting and simulating the roughness before the machining process is an important issue. The purpose of this research is to develop a reliable model for predicting and simulating the average surface roughness (Ra) in high speed hard turning. An experimental investigation was conducted to predict the surface roughness in the finish hard turning with higher cutting speed. A set of sparse experimental data for finish turning of hardened steel (AISI 4340) and mixed ceramic inserts made up of aluminum oxide and titanium carbide were used as work piece and cutting tools materials. Four different models for the surface roughness were developed by using regression analysis and artificial neural network techniques. Two different techniques have been used in the regression analysis; Box Behnken Design (BBD) and Face Central Cubic Design (FCC).. The BBD model gave better prediction than the FCC in the design boundary Praise Worthy Prize 2014-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36862/1/017-Al_Hazza_def_15204_-1.pdf application/pdf en http://irep.iium.edu.my/36862/4/36862_Surface%20roughness_scopus.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas and Hassan, Muhammad Hasibul and Shaffiar, Norhashimah (2014) Surface roughness modeling in high speed hard turning using regression analysis. International Review of Mechanical Engineering, 8 (2). pp. 431-436. ISSN 1970-8734 http://www.praiseworthyprize.org/jsm/index.php?journal=ireme&page=article&op=view&path[]=15204 |
| spellingShingle | T Technology (General) Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Hassan, Muhammad Hasibul Shaffiar, Norhashimah Surface roughness modeling in high speed hard turning using regression analysis |
| title | Surface roughness modeling in high speed hard turning using regression analysis |
| title_full | Surface roughness modeling in high speed hard turning using regression analysis |
| title_fullStr | Surface roughness modeling in high speed hard turning using regression analysis |
| title_full_unstemmed | Surface roughness modeling in high speed hard turning using regression analysis |
| title_short | Surface roughness modeling in high speed hard turning using regression analysis |
| title_sort | surface roughness modeling in high speed hard turning using regression analysis |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/36862/ http://irep.iium.edu.my/36862/ http://irep.iium.edu.my/36862/1/017-Al_Hazza_def_15204_-1.pdf http://irep.iium.edu.my/36862/4/36862_Surface%20roughness_scopus.pdf |