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Surface roughness modeling in high speed hard turning using regression analysis

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

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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

Item Type: Article (Journal)
Additional Information: 6852/36862
Uncontrolled Keywords: Surface Roughness; Box Behnken Design; Face Central Cubi
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User: Dr Muataz Hazza Alhazza
Date Deposited: 09 Jun 2014 10:23
Last Modified: 19 Sep 2017 16:32
URI: http://irep.iium.edu.my/id/eprint/36862

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