Electrochemical machining of aluminium 7075 alloy, silicon carbide, and fly ash composites: An experimental investigation of the effects of variables on material removal rate

Rajesh, S.; Gobikrishnan, U.; Rao, N. Krishnarjuna; Balamurugan, R.; Senthilkumar, K.; Selvan, T.A.; Madhankumar, S.

doi:10.1016/j.matpr.2022.04.054

Cited by 7 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It relies on Faraday's law of electrolysis. The substrates must decay to ensure they comply with Faraday's anodization rule [2]. Although there is the possibility of boosting the study's dependability, the reliance on regularity in several aspects needs thorough research to discover the source and influence of the numerous parameters [3].…”

Section: Introductionmentioning

confidence: 99%

“…Khundrakpam et al [1] explored the effect of ECM on stainless steel using copper electrodes employing the Taguchi technique and reported that voltage applied during the machining was the most prominent parameter for controlling roughness characteristics and MRR. Rajesh et al [2] studied the MRR for an ECM-machined Aluminium metal matrix composite using the Taguchi process and reported that pulse on time highly dominated the increase in MRR. Saravanam et al [3] inspected the ECM effect on TiC-reinforced AA6063 using the Taguchi process and reported that particle reinforcement is the dominant factor that controls the MRR.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Parametric Appraisal of Electrochemical Machining of AISI 4140 Chromoly steel using Hybrid Taguchi - WASPAS - Sunflower optimization algorithm

Barua,

Mishra,

Das

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

Electrochemical machining (ECM) is a significant technique for getting rid of metal that employs anodic dissolution to get complex contours and deep, precise holes, mostly in the components used in automotive or aerospace sectors. To achieve such high surface characteristics, the selection of factors is important. This work deals with the ECM of AISI 4140 Chromoly steel to investigate the surface roughness and material removal rate (MRR) on the machined specimen using a copper tool electrode. Factors like voltage, signal, and feed rate were optimized by hybrid optimization techniques. To acquire optimal factor configurations, the Taguchi-based WASPAS approach was utilised, accompanied by the Sunflower optimisation methodology. ANOVA was then used to determine the component that was the most impactful factor. A confirmation test is used to signify the outcomes of electrochemical machining. It was revealed that feed rate was among the most significantly relevant factors in affecting surface roughness and MRR. Also, all the optimization approaches provided similar predictions and agreed with the results fetched by the previous research.

show abstract

Section: Introductionmentioning

confidence: 99%