Experimental investigation and parameter optimization of near-dry wire-cut electrical discharge machining using multi-objective evolutionary algorithm

The present study aims to solve multi-response optimization problem in small scale resistance spot welding of 0.4-mm-thick TC2 titanium alloy sheets. Welding parameters of electrode force, welding current and welding time were arranged by the central composite experimental design. Principal component analysis was conducted first on quality indicators of nugget diameter, failure load, failure displacement and failure energy. Different weighted principal components selection strategies were performed to calculate the composite weld quality indexes. Multiple stepwise regression analysis was applied to develop the mathematical function for weighted principal components prediction. Welding parameters effects and sensitivity analysis on the composite weld quality index were discussed. Welding current was found the most significant factor affecting weld quality. Optimum welding parameters determined by genetic algorithm were validated through experiments. The first principal component was supposed as the most effective and simplest quality index. Weld quality was considerably improved based on the proposed model.

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“…Attempts have been made to incorporate regression analysis with desirability function [17,18], Taguchi method [19] and genetic algorithm [20,21].…”

Section: Introductionmentioning

confidence: 99%

“…Vijian and Arunachalam [20] used genetic algorithm to optimize process parameters, in which objective function was formulated by weighting regression functions. Boopathi and Sivakumar [21] developed regression models and determined optimum process parameters from the Pareto-front.…”

Section: Introductionmentioning

confidence: 99%

Multi-response optimization in small scale resistance spot welding of titanium alloy by principal component analysis and genetic algorithm

Wan

Wang

Zhao

2015

Int J Adv Manuf Technol

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“…Taguchi design of experiments [DOE] is used to evaluate the effects of input parameters on performance characteristics of this study. As per the guidance of orthogonal array selector, the L27 array was selected for the three input parameters with three-levels [25,26]. Based on the Taguchi quality design concept, the values of the control parameters are assigned to the various level of L27 orthogonal array and shown in Table 1.…”

Section: Taguchi Design Of Experimentsmentioning

confidence: 99%

Experimental investigation and parameter analysis of LPG refrigeration system using Taguchi method

Boopathi¹

2019

SN Appl. Sci.

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In this research work, an attempt has been made to study the liquefied petroleum gas (LPG) as an alternative refrigerant to eliminate the global warming potential causes many dangerous impacts on the environment by conventional refrigerants. An LPG refrigeration experimental setup has been fabricated using different lengths of capillary tubes, pressure regulator, evaporator, LPG supply unit, and gas burner. Initially, the parameters working ranges have been confirmed by conducting Exploratory experiments. The evaporator temperature is considered as response parameter which gives the proportionate changes of coefficient of performance. The effects of selected input parameters on evaporated temperature have been investigated. The capillary tube internal diameter, length of capillary tube and system operating time has been selected as input parameters. It was observed from literature survey that there was very few systematic experimentation and statistical analysis were only performed. Thus, L27 Taguchi's design of experiment has been employed to conduct experiments and to identify the significant process parameters. The confirmation test has been conducted to validate the predicted result from the Taguchi method. It was observed that the evaporator temperature has been increased by increasing time of operation and coil diameter of capillary tube. However, the effect on inner diameter is directly proportionate to output response.

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“…Authors stated that among the various optimisation techniques, neural network is the most robust technique for WEDM process. Boopathi and Sivakumar [90] proposed a multi-objective optimisation technique for predicting optimal cutting parameters for rough and finish cut using Pareto-front using the multi-objective evolutionary algorithm (MOEA). Zhang et al [95] attempted to predict optimal process parameter combination for achieving better surface integrity using back propagation neural network combined with genetic algorithm (BPNN-GA) and Non-dominated Sorting Genetic Algorithm-II [87].…”

Section: Modelling and Simulation Techniquesmentioning

confidence: 99%

A progress review in wire electrical discharge machining process

Balan¹,

Giridharan²

2017

Int. J. Automot. Mech. Eng.

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Wire Electrical Discharge Machining (WEDM) is an electrothermal non-traditional machining process used for machining electrically conductive materials that are difficult to machine. Material removal in WEDM is by means of spark erosion. WEDM is proven to be the alternative for producing complex parts with higher degree of dimensional accuracy and better surface finish. Over the years, a significant amount of research was globally carried out to explore the WEDM process capability. This paper aims to explore the research work carried on parametric influence of WEDM process variables on various output performance measures. The paper also highlights various modelling techniques to predict optimal machining conditions and explore the feasibility of applying WEDM process to machine advanced materials. Combined technology that benefits from the virtues of WEDM and conventional method is also highlighted in this paper. The final section discusses the development and possible research trend in WEDM process.

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Experimental investigation and parameter optimization of near-dry wire-cut electrical discharge machining using multi-objective evolutionary algorithm

Cited by 101 publications

References 17 publications

Multi-response optimization in small scale resistance spot welding of titanium alloy by principal component analysis and genetic algorithm

Multi-response optimization in small scale resistance spot welding of titanium alloy by principal component analysis and genetic algorithm

Experimental investigation and parameter analysis of LPG refrigeration system using Taguchi method

A progress review in wire electrical discharge machining process

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