Surface modification of aluminium 7075 by electrical discharge alloying and influence of surface roughness using RSM

Maideen, A. Haja; Duraiselvam, Muthukannan; Varatharajulu, M.

doi:10.1016/j.matpr.2020.05.223

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Maideen et al [ 135 ] modified the surface of Al 7075 by mixing Mo and Ni powder particles in one case and Mo and W powders in another case with the dielectric medium. The successful deposition of powder particles was obtained in the newly formed layer in each case.…”

Section: Edm-based Novel Techniques Of Surface Modification and Appli...mentioning

confidence: 99%

Functional Surface Generation by EDM—A Review

Nafi

Jahan

2022

Micromachines

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Electro-discharge machining (EDM) removes electrically conductive materials by high frequency spark discharges between the tool electrode and the workpiece in the presence of a dielectric liquid. Being an electrothermal process and with melting and evaporation being the mechanisms of material removal, EDM suffers from migration of materials between the tool and the workpiece. Although unwanted surface modification was considered a challenge in the past for many applications, this inherent nature of the EDM process has recently become of interest to the scientific community. As a result, researchers have been focusing on using the EDM process for surface modification and coating by targeted surface engineering. In order to engineer a surface or generate functional coatings using the electro-discharge process, proper knowledge of the EDM process and science of electro-discharge surface modification must be understood. This paper aims to provide an overview of the electro-discharge surface modification and coating processes, thus assisting the readers on exploring potential applications of EDM-based techniques of surface engineering and coating generation. This review starts with a brief introduction to the EDM process, the physics behind the EDM process, and the science of the surface modification process in EDM. The paper then discusses the reasons and purposes of surface modification and coating practices. The common EDM-based techniques reported in the literature for producing coatings on the surface are discussed with their process mechanisms, important parameters, and design considerations. The characterization techniques used for the analysis of modified surfaces and coating layers, as well as the tribological and surface properties of modified surfaces or coatings are discussed. Some of the important applications of EDM-based surface modification and coating processes are generating surfaces for protective coating, for aesthetic purposes, for enhancing the biocompatibility of implants, for improving corrosion resistance, for improving wear resistance, and for improving tribological performance. The current state of the research in these application areas is discussed with examples. Finally, suggestions are provided on future research directions and innovative potential new applications of the electro-discharge-based surface engineering and coating processes.

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Section: Edm-based Novel Techniques Of Surface Modification and Appli...mentioning

confidence: 99%

Functional Surface Generation by EDM—A Review

Nafi

Jahan

2022

Micromachines

View full text Add to dashboard Cite

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“…It should be pointed out that surface roughness prediction model with high precision is not only the basis of controlling and stabilizing surface roughness but also can avoid the high-cost and long-time measurement process. Over the past decades, many researchers have been carried out for establishing surface roughness prediction model of machining process, which can be approximately fall into three categories: theoretical method [5] , experimental design method [6] , and artificial intelligence (AI) method [7] .…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Modeling and Prediction Analysis for Surface Roughness of Special-Shaped Stone by Robotic Grinding

Yin

Cui

2022

IEEE Access

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This paper aims to accurately predict the surface quality of the special-shaped stone by robotic grinding and effectively guide the adjustment of process parameters to ensure stable grinding quality, applies a support vector machine model based on improved whale optimization algorithm (IWOA-SVR), so as to establish a prediction model of surface roughness of special-shaped stone and a selection method of process parameters. The proposed IWOA-SVR was used to improve the prediction accuracy of support vector machine regression model, and a prediction model of surface roughness (R a ) for stone was established. On this basis, the relationship between the output parameters (surface roughness) and inutput parameters (spindle speed, feed speed, cutting depth and cutting width)was explored to obtain more suitable process parameters. Combining the grinding experiment data of special-shaped stone, the comparison was carried out between IWOA-SVR and the SVR model optimized by the commonly used optimization algorithms (grid-search optimization algorithm (GS) and whale optimization algorithm (WOA)). Under the same sample condition, the prediction error of GS-SVR is the most large, and the average prediction error of IWOA-SVR is only 86.1% if that of WOA-SVR, the training time is shortened by 54.4%. The influence of process parameters on surface roughness obtained by IWOA-SVR can effectively guide the selection and adjustment of process parameters. It has good guiding significance for maintaining the excellent grinding quality of specialshaped stone.

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Surface modification of aluminium 7075 by electrical discharge alloying and influence of surface roughness using RSM

Cited by 2 publications

References 13 publications

Functional Surface Generation by EDM—A Review

Functional Surface Generation by EDM—A Review

Data-Driven Modeling and Prediction Analysis for Surface Roughness of Special-Shaped Stone by Robotic Grinding

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