Journal ArticleDOI
A New Approach for Selection of Optimal Process Parameters in Abrasive Water Jet Cutting
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In this article, a new approach based on the principles of fuzzy logic and GA for selection of optimal process parameters in Abrasive Water Jet (AWJ) cutting of granite to any predetermined depth, using multi-criteria optimization technique.Abstract:
This paper presents a new approach, based on the principles of fuzzy logic and Genetic Algorithm (GA) for selection of optimal process parameters in Abrasive Water Jet (AWJ) cutting of granite to any predetermined depth, using multi-criteria optimization technique. The proposed approach suggests the best combination of process parameters such as water jet pressure, jet traverse rate and abrasive flow rate for cutting granite material to any predetermined depth. GA, in combination with the model built based on fuzzy approach, generates several sets of process parameters satisfying the objective of achieving the desired depth of cut. These sets of parameters are subjected to multi-criteria optimization procedure which suggests a set of process parameters that can minimize the cost of production by increasing the rate of production and reducing the consumption of abrasives, maintaining the desired depth of cut within the specified limits. The proposed approach is validated with suitable experiments ...read more
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Journal ArticleDOI
Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm
R. Venkata Rao,V. D. Kalyankar +1 more
TL;DR: Comparison between the results obtained by the proposed algorithms and those obtained by different optimization algorithms shows the better performance of the proposed algorithm.
Journal ArticleDOI
Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms
TL;DR: In this paper, the authors describe the optimization of process parameters of four mechanical type machining processes (USM, abrasive jet machining (AJM), WJM, and AWJM) using genetic algorithms, giving the details of formulation of optimization models, solution methodology used, and optimization results.
Journal ArticleDOI
Parameter optimization of machining processes using teaching–learning-based optimization algorithm
P. J. Pawar,R. Venkata Rao +1 more
TL;DR: In this paper, the authors presented the optimization aspects of process parameters of three machining processes including an advanced machining process known as abrasive water jet machining, grinding and milling.
Journal ArticleDOI
An Experimental Study on the Depth of Cut of Granite in Abrasive Waterjet Cutting
TL;DR: In this paper, the effect of process parameters and the textural properties of granites on the cut depth and surface quality of granite was investigated and the design philosophy of Taguchi was followed to conduct the experiments.
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.
Journal ArticleDOI
Optimization of Control Parameters for Genetic Algorithms
TL;DR: GA's are shown to be effective for both levels of the systems optimization problem and are applied to the second level task of identifying efficient GA's for a set of numerical optimization problems.
Book
Modern heuristic techniques for combinatorial problems
TL;DR: In this paper, the Lagrangian relaxation and dual ascent tree search were used to solve the graph bisection problem and the graph partition problem, and the traveling salesman problem scheduling problems.
Book
Manufacturing Systems: Theory and Practice
TL;DR: In this paper, the authors provide some fundamental methods and tools which are useful in addressing design and operational issues in manufacturing systems, which are intended as an advanced undergraduate/graduate text for students taking courses in manufacturing and manufacturing systems.