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Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining

Electric discharge machining with a powder mix dielectric is a promising technique to harden a work piece’s surface using electricity with a high energy density. The quality of the electrical discharge-machined surface is related to its surface integrity in which the surface’s roughness, residual st...

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Detalles Bibliográficos
Autores principales: Rehman, Ata ur, Arif, Waseem, Hussain, Muhammad Imtiaz, Miran, Sajjad, Hussain, Salman, Lee, Gwi Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320070/
https://www.ncbi.nlm.nih.gov/pubmed/35888399
http://dx.doi.org/10.3390/ma15144932
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author Rehman, Ata ur
Arif, Waseem
Hussain, Muhammad Imtiaz
Miran, Sajjad
Hussain, Salman
Lee, Gwi Hyun
author_facet Rehman, Ata ur
Arif, Waseem
Hussain, Muhammad Imtiaz
Miran, Sajjad
Hussain, Salman
Lee, Gwi Hyun
author_sort Rehman, Ata ur
collection PubMed
description Electric discharge machining with a powder mix dielectric is a promising technique to harden a work piece’s surface using electricity with a high energy density. The quality of the electrical discharge-machined surface is related to its surface integrity in which the surface’s roughness, residual stresses, micro hardness and surface micro cracks are some of the major factors. In this research, graphite powder was mixed in a dielectric with a particle size of 20 µm, 30 µm, and 40 µm, with the concentration of the graphite powder ranging from 2 g/L to 4 g/L. Moreover, the peak current and pulse time on were also coupled with an additive of graphite powder to investigate the effect on the surface quality, i.e., the recast layer thickness, micro hardness and crater depth as well as the material removal rate (MRR) and tool wear rate (TWR). A Box–Behnken design was employed to design the experiments and the experimental results revealed that the graphite powder size and concentration coupled with the electrical parameters (peak current and pulse time on) significantly influenced the recast layer thickness, micro hardness, crater size, MRR and TWR. The crater depth and micro hardness were maximized at a higher concentration and particle size, while the recast layer thickness was reduced with a higher gain size.
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spelling pubmed-93200702022-07-27 Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining Rehman, Ata ur Arif, Waseem Hussain, Muhammad Imtiaz Miran, Sajjad Hussain, Salman Lee, Gwi Hyun Materials (Basel) Article Electric discharge machining with a powder mix dielectric is a promising technique to harden a work piece’s surface using electricity with a high energy density. The quality of the electrical discharge-machined surface is related to its surface integrity in which the surface’s roughness, residual stresses, micro hardness and surface micro cracks are some of the major factors. In this research, graphite powder was mixed in a dielectric with a particle size of 20 µm, 30 µm, and 40 µm, with the concentration of the graphite powder ranging from 2 g/L to 4 g/L. Moreover, the peak current and pulse time on were also coupled with an additive of graphite powder to investigate the effect on the surface quality, i.e., the recast layer thickness, micro hardness and crater depth as well as the material removal rate (MRR) and tool wear rate (TWR). A Box–Behnken design was employed to design the experiments and the experimental results revealed that the graphite powder size and concentration coupled with the electrical parameters (peak current and pulse time on) significantly influenced the recast layer thickness, micro hardness, crater size, MRR and TWR. The crater depth and micro hardness were maximized at a higher concentration and particle size, while the recast layer thickness was reduced with a higher gain size. MDPI 2022-07-15 /pmc/articles/PMC9320070/ /pubmed/35888399 http://dx.doi.org/10.3390/ma15144932 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rehman, Ata ur
Arif, Waseem
Hussain, Muhammad Imtiaz
Miran, Sajjad
Hussain, Salman
Lee, Gwi Hyun
Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title_full Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title_fullStr Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title_full_unstemmed Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title_short Analysis of Particle Size and Concentration in Die Sinking Electric Discharge Machining
title_sort analysis of particle size and concentration in die sinking electric discharge machining
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320070/
https://www.ncbi.nlm.nih.gov/pubmed/35888399
http://dx.doi.org/10.3390/ma15144932
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