Journal ArticleDOI
Application of response surface methodology in the optimization of cutting conditions for surface roughness
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In this article, the authors developed an effective methodology to determine the optimum cutting conditions leading to minimum surface roughness in milling of mold surfaces by coupling response surface methodology (RSM) with a developed GA.About:
This article is published in Journal of Materials Processing Technology.The article was published on 2005-12-14. It has received 373 citations till now. The article focuses on the topics: Surface roughness & Machining.read more
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Tool wear characteristics in machining of nickel-based superalloys
TL;DR: In this article, the authors focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed.
Journal ArticleDOI
Application of soft computing techniques in machining performance prediction and optimization: a literature review
TL;DR: This paper reviews the application of neural networks, fuzzy sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization to four machining processes—turning, milling, drilling, and grinding.
Journal ArticleDOI
Experimental investigation on mechanical behaviour, modelling and optimization of wear parameters of B4C and graphite reinforced aluminium hybrid composites
TL;DR: In this article, the worn surfaces of hybrid composites and base alloys were studied through SEM and EDS systems and some useful conclusions were made by using a pin-on-disc apparatus with various input parameters like applied load (10, 20, and 30 n), sliding speed (0.6, 0.8, and 1.0 n), and sliding distance (1000, 1500, and 2000 m).
Journal ArticleDOI
Optimization of tool geometry parameters for turning operations based on the response surface methodology
TL;DR: In this paper, the influence of tool geometry on the surface finish obtained in turning of AISI 1040 steel was investigated and a prediction model was developed related to average surface roughness (Ra) using experimental data.
Journal ArticleDOI
Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process
TL;DR: The analysis of this study has proven that the GA technique is capable of estimating the optimal cutting conditions that yield the minimum surface roughness value.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Empirical Model-Building and Response Surfaces
TL;DR: In this article, the authors present a Second-Order Response Surface Methodology (SRSM) for response surface design, which is based on Maxima and Ridge systems with second-order response surfaces.
Journal ArticleDOI
Empirical Model-Building and Response Surfaces
TL;DR: This work discusses the use of Graduating Functions, design Aspects of Variance, Bias, and Lack of Fit, and Practical Choice of a Response Surface Design in relation to Second--Order Response Surfaces.
Book
Aluminum: Properties and Physical Metallurgy
TL;DR: Aluminum as mentioned in this paper is a collection of 53 recognized experts on aluminium and aluminium alloys Joint venture by world renowned authorities-the Aluminium Association Inc. and American Society for Metals.