Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode

In electrical discharge machining (EDM), the machined surface quality can be affected by the excessive temperature generation during the machining process. To achieve a longer life of the finished part, the machined surface quality plays a key role in maintaining its overall integrity. Surface rough...

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Main Authors: Arminder Singh Walia, Vineet Srivastava, Mayank Garg, Nalin Somani, Nitin Kumar Gupta, Chander Prakash, Cherry Bhargava, Ketan Kotecha
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/20/5943
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author Arminder Singh Walia
Vineet Srivastava
Mayank Garg
Nalin Somani
Nitin Kumar Gupta
Chander Prakash
Cherry Bhargava
Ketan Kotecha
author_facet Arminder Singh Walia
Vineet Srivastava
Mayank Garg
Nalin Somani
Nitin Kumar Gupta
Chander Prakash
Cherry Bhargava
Ketan Kotecha
author_sort Arminder Singh Walia
collection DOAJ
description In electrical discharge machining (EDM), the machined surface quality can be affected by the excessive temperature generation during the machining process. To achieve a longer life of the finished part, the machined surface quality plays a key role in maintaining its overall integrity. Surface roughness is an important quality evaluation of a material’s surface that has considerable influence on mechanical performance of the material. Herein, a sintered cermet tooltip with 75% copper and 25% titanium carbide was used as tool electrode for processing H13 steel. The experiments have been performed to investigate the effects of EDM parameters on the machined surface roughness. The findings show that, as the pulse current, pulse length, and pulse interval are increased, the surface roughness tends to rise. The most significant determinant for surface roughness was found to be pulse current. A semi-empirical surface roughness model was created using the characteristics of the EDM technique. Buckingham’s theorem was used to develop a semi-empirical surface roughness prediction model. The semi-empirical model’s predictions were in good agreement with the experimental studies, and the built empirical model based on physical features of the cermet tooltip was tested using dimensional analysis.
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spelling doaj.art-b990989fd8ec4f5198598e05eaed01702023-11-22T18:56:25ZengMDPI AGMaterials1996-19442021-10-011420594310.3390/ma14205943Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered ElectrodeArminder Singh Walia0Vineet Srivastava1Mayank Garg2Nalin Somani3Nitin Kumar Gupta4Chander Prakash5Cherry Bhargava6Ketan Kotecha7Department of Mechanical Engineering, Thapar Polytechnic College, Patiala 147004, IndiaDepartment of Mechanical Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, IndiaDepartment of Mechanical Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, IndiaDepartment of Mechanical Engineering, DIT University, Dehradun 248009, IndiaDepartment of Mechanical Engineering, ABES Engineering College, Ghaziabad 201001, IndiaSchool of Mechanical Engineering, Lovely Professional University, Phagwara 144402, IndiaDepartment of Electronics and Telecommunication Engineering, Symbiosis Institute of Technology, Pune 412115, IndiaSymbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis International (Deemed University) (SIU), Pune 412115, IndiaIn electrical discharge machining (EDM), the machined surface quality can be affected by the excessive temperature generation during the machining process. To achieve a longer life of the finished part, the machined surface quality plays a key role in maintaining its overall integrity. Surface roughness is an important quality evaluation of a material’s surface that has considerable influence on mechanical performance of the material. Herein, a sintered cermet tooltip with 75% copper and 25% titanium carbide was used as tool electrode for processing H13 steel. The experiments have been performed to investigate the effects of EDM parameters on the machined surface roughness. The findings show that, as the pulse current, pulse length, and pulse interval are increased, the surface roughness tends to rise. The most significant determinant for surface roughness was found to be pulse current. A semi-empirical surface roughness model was created using the characteristics of the EDM technique. Buckingham’s theorem was used to develop a semi-empirical surface roughness prediction model. The semi-empirical model’s predictions were in good agreement with the experimental studies, and the built empirical model based on physical features of the cermet tooltip was tested using dimensional analysis.https://www.mdpi.com/1996-1944/14/20/5943EDMcermet tooltipsurface roughnessdimensional analysispulse currentpulse duration
spellingShingle Arminder Singh Walia
Vineet Srivastava
Mayank Garg
Nalin Somani
Nitin Kumar Gupta
Chander Prakash
Cherry Bhargava
Ketan Kotecha
Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
Materials
EDM
cermet tooltip
surface roughness
dimensional analysis
pulse current
pulse duration
title Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
title_full Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
title_fullStr Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
title_full_unstemmed Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
title_short Surface Roughness Analysis of H13 Steel during Electrical Discharge Machining Process Using Cu–TiC Sintered Electrode
title_sort surface roughness analysis of h13 steel during electrical discharge machining process using cu tic sintered electrode
topic EDM
cermet tooltip
surface roughness
dimensional analysis
pulse current
pulse duration
url https://www.mdpi.com/1996-1944/14/20/5943
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