Optimization of advanced manufacturing processes using socio inspired cohort intelligence algorithm

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2022-01-01 DOI:10.1051/smdo/2021033

Ishaan R. Kale, Mayur A. Pachpande, Swapnil P. Naikwadi, Mayur N. Narkhede

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引用次数: 3

Abstract

The demand of Advanced Machining Processes (AMP) is continuously increasing owing to the technological advancement. The problems based on AMP are complex in nature as it consisted of parameters which are interdependent. These problems also consisted of linear and nonlinear constraints. This makes the problem complex which may not be solved using traditional optimization techniques. The optimization of process parameters is indispensable to use AMP's at its aptness and to make it economical to use. This paper states the optimization of process parameters of Ultrasonic machining (USM) and Abrasive water jet machining (AWJM) processes to maximize the Material Removal Rate (MRR) using a socio inspired Cohort Intelligent (CI) algorithm. The constraints involved with these problems are handled using static penalty function approach. The solutions are compared with other contemporary techniques such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Modified Harmony Search (HS_M) and Genetic Algorithm (GA).

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基于社会启发队列智能算法的先进制造工艺优化

由于技术的进步，对先进加工工艺的需求不断增加。基于AMP的问题本质上是复杂的，因为它由相互依赖的参数组成。这些问题还包括线性和非线性约束。这使得问题变得复杂，使用传统的优化技术可能无法解决。为了更好地利用AMP，使其经济有效地使用，工艺参数的优化是必不可少的。采用社会启发队列智能(CI)算法对超声加工(USM)和磨料水射流加工(AWJM)工艺参数进行优化，使材料去除率(MRR)最大化。使用静态罚函数方法处理与这些问题相关的约束。并对粒子群算法(PSO)、人工蜂群算法(ABC)、改进和谐搜索算法(HS_M)和遗传算法(GA)进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).