Experimental modelling and multi-response optimization of travelling wire electrochemical spark machining of Pyrex glass

Bhuyan, Basanta Kumar; Yadava, Vinod

doi:10.1177/0954405413514745

Cited by 27 publications

(7 citation statements)

References 23 publications

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“…The increase in machining voltage stepped up hydrogen bubbles generation rate which played a significant role in sparking intensity of ECDM process. 124 However, the effect of machining voltage on MRR is limited up to a certain value. The authors revealed 61 the decrease in MRR at 100 V due to limited flushing of debris in machining zone.…”

Section: Machining Qualitymentioning

confidence: 99%

Electrochemical discharge machining: A review on preceding and perspective research

Singh

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Electrochemical discharge machining has been proved to be efficient micro-machining process and significantly used for the machining of non-conductive materials. The miniaturized products have gained advantages in Lab-on-a-chip devices and microelectromechanical system because of advancement in technology. The challenge to produce micro features has been suitably addressed by electrochemical discharge machining and emerged as potential contender in generating micro holes and micro channels on electrically non-conductive materials. This article includes state-of-art review on different domains of electrochemical discharge machining, which includes work piece, electrolyte, behaviour of tool electrode, gas film formation, machining quality along with recent hybridizations in electrochemical discharge machining process. The conclusion focuses or summarizes the future research trends for enhancement of electrochemical discharge machining efficiency and tackles problems encountered in machining.

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Section: Machining Qualitymentioning

confidence: 99%

Electrochemical discharge machining: A review on preceding and perspective research

Singh

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…In present study, the surface roughness has been taken as response parameter. Therefore, the "lower is better" quality characteristic has been used to analyze the experimental results, which can be determined as [19,20]:…”

Section: Experimantationmentioning

confidence: 99%

Optimize the Parameters of Dual Turning Process Using Taguchi Methodology

2016

Arimpie - 2016

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Abstract-Dual turning is a novel metal cutting process to get the desired shape of the rotating workpiece. In this process, two single point cutting tools are penetrated toward workpiece from opposite directions to remove the extra material by cutting action. It is highly complex process due to application of the two cutting tools at a time as which the selection of the optimum parameters is much difficult. The aim of this paper is to optimize the process parameters (cutting speed, feed rate, primary depthof-cut and secondary depth-of-cut) to minimize the surface roughness using Taguchi methodology. For this, the experiments w ere performed according to the L 9 design matrix on the dual turning setup at lathe machine. The result show s that optimal condition of the process parameters gives better surface finish as compared to the initial setting of the control parameters.

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“…GA is a stochastic search algorithm that is effective and has been applied very widely to get the global optimal value. 18–22 A BiGA developed to deal with the static mathematical model. The algorithm has two genetic optimization processes at different levels where the lower level GA is embedded in the higher level one.…”

Section: Bigamentioning

confidence: 99%

Study on the self-evolution problem of an aircraft-engine assembly workshop with uncertain number of assembly times

Jiang

Wang

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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Self-evolution problem of an aircraft-engine assembly workshop with uncertain number of assembly times in knowledgeable manufacturing environment is studied in this article. The whole dynamic self-evolution process is decomposed into a series of static ones by using the rolling horizon procedure. A rolling rule, which is employed to select operations into rolling windows, is designed on the basis of the level priority of each operation. An algorithm for the self-evolution algorithm is then proposed. Due to the deterministic production information, a static decision sub-problem is needed to be solved at each decision point. A general mathematical model of sub-problems is built to minimize the production cost. For solving it, a bi-level genetic algorithm is proposed. In the lower level genetic algorithm, an improved decoding method is also designed by considering production features. Finally, simulation results demonstrate the feasibility and validity of the model and algorithms. Then, computational data indicate that the system with self-evolution capability pays lower costs for production.

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Experimental modelling and multi-response optimization of travelling wire electrochemical spark machining of Pyrex glass

Cited by 27 publications

References 23 publications

Electrochemical discharge machining: A review on preceding and perspective research

Electrochemical discharge machining: A review on preceding and perspective research

Optimize the Parameters of Dual Turning Process Using Taguchi Methodology

Study on the self-evolution problem of an aircraft-engine assembly workshop with uncertain number of assembly times

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