A Review on Application of Soft Computing Techniques in Machining of Particle Reinforcement Metal Matrix Composites
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ORIGINAL PAPER
A Review on Application of Soft Computing Techniques in Machining of Particle Reinforcement Metal Matrix Composites Rashid Ali Laghari1 · Jianguang Li1 · Asif Ali Laghari2 · Shu‑qi Wang1 Received: 30 November 2018 / Accepted: 24 April 2019 © CIMNE, Barcelona, Spain 2019
Abstract In this paper, a wide literature review of soft computing methods in conventional machining processes of metal matrix composites is carried out. The tool wear, cutting force along with surface quality are presented in the different types of machining processes and examined thoroughly. Summary of the different particular soft computing approaches in machining such as turning, milling, drilling and grinding operations are thoroughly discussed. Furthermore, this work put emphases on the optimization and modeling of the machining process. The study will emphasis on the most general methods used by researchers in literature for developing the statistical and mathematical modeling using soft computing approaches including, genetic algorithm, response surface methodology, fuzzy logic, artificial neural network, Taguchi method and particle swarm optimization. In last section the comprehensive open issues and conclusion are presented for application of soft computing techniques in machining of metal matrix composite performance prediction and optimization.
1 Introduction The modern day’s industries are demanding advance engi‑ neering materials which provide superior specific properties of engineering materials and able to perform efficiently in highly demanding applications and able to withstand in high temperature and stresses or pressure. Metal matrix compos‑ ite materials are those materials which possess superior properties like high hardness, low coefficient of thermal expansion, high strength to weight ratio, higher wear resist‑ ance, and high fatigue life. Due to this traditional materials are being increasingly replaced by composites materials in automotive and aerospace industries [1–6]. Such extraor‑ dinary demanding properties can certainly be achieved * Rashid Ali Laghari [email protected]; [email protected] Jianguang Li [email protected] Asif Ali Laghari [email protected] Shu‑qi Wang [email protected] 1
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
Department of Computer Science, Sindh Madressatul Islam University, Karachi, Pakistan
2
by metal matrix composite [7]. Metal matrix composites include various materials ranging from low casting to com‑ plex reinforced metal alloys. It determines the number of applications due to its favorable properties including out‑ standing mechanical and wears resistance properties, Silicon carbide SiC reinforced aluminum is the most advantageous and common in composite materials. Silicon carbide (SiC) and aluminum oxide Al2O3 are among the most popular MMC reinforcements. Magnesium, Titanium and, Alu‑ minum alloys are commonly used as the matrix phase. [8, 9] Although it is possible to fabricate MMC componen
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