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Dataset on optimization of EDM machining parameters by using central composite design

Newly prepared titanium alloy (Ti-13Zr-13Nb (TZN)) using powder metallurgy is considered in this investigation. Titanium alloys (TZN) are used in hip and knee replacement for orthopedic implants. Conventional machining, TZN alloys produce higher tool wear rate and poor surface quality, but this can...

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Autores principales: Soundhar, A., Zubar, H. Abdul, Sultan, Mohamed Thariq Bin Haji Hameed, Kandasamy, Jayakrishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369405/
https://www.ncbi.nlm.nih.gov/pubmed/30788395
http://dx.doi.org/10.1016/j.dib.2019.01.019
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author Soundhar, A.
Zubar, H. Abdul
Sultan, Mohamed Thariq Bin Haji Hameed
Kandasamy, Jayakrishna
author_facet Soundhar, A.
Zubar, H. Abdul
Sultan, Mohamed Thariq Bin Haji Hameed
Kandasamy, Jayakrishna
author_sort Soundhar, A.
collection PubMed
description Newly prepared titanium alloy (Ti-13Zr-13Nb (TZN)) using powder metallurgy is considered in this investigation. Titanium alloys (TZN) are used in hip and knee replacement for orthopedic implants. Conventional machining, TZN alloys produce higher tool wear rate and poor surface quality, but this can be reduced by Electrical Discharge Machining (EDM) method. Moreover, EDM produce good biological and corrosion resistant surface. In this research, experiments were conducted by considering the influential process factors such as pulse on time, pulse off time, voltage, and current. The experiments were designed based on Response Surface Methodology (RSM) of face centered central composite design. Analysis of Variance (ANOVA) was conducted to identify the significance process factors and their relation to output responses such as Electrode Wear Rate (EWR), Surface Roughness (SR) and Material Removal Rate (MRR). Further, an empirical model was developed by RSM in order to predict the output responses.
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spelling pubmed-63694052019-02-20 Dataset on optimization of EDM machining parameters by using central composite design Soundhar, A. Zubar, H. Abdul Sultan, Mohamed Thariq Bin Haji Hameed Kandasamy, Jayakrishna Data Brief Engineering Newly prepared titanium alloy (Ti-13Zr-13Nb (TZN)) using powder metallurgy is considered in this investigation. Titanium alloys (TZN) are used in hip and knee replacement for orthopedic implants. Conventional machining, TZN alloys produce higher tool wear rate and poor surface quality, but this can be reduced by Electrical Discharge Machining (EDM) method. Moreover, EDM produce good biological and corrosion resistant surface. In this research, experiments were conducted by considering the influential process factors such as pulse on time, pulse off time, voltage, and current. The experiments were designed based on Response Surface Methodology (RSM) of face centered central composite design. Analysis of Variance (ANOVA) was conducted to identify the significance process factors and their relation to output responses such as Electrode Wear Rate (EWR), Surface Roughness (SR) and Material Removal Rate (MRR). Further, an empirical model was developed by RSM in order to predict the output responses. Elsevier 2019-01-17 /pmc/articles/PMC6369405/ /pubmed/30788395 http://dx.doi.org/10.1016/j.dib.2019.01.019 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Soundhar, A.
Zubar, H. Abdul
Sultan, Mohamed Thariq Bin Haji Hameed
Kandasamy, Jayakrishna
Dataset on optimization of EDM machining parameters by using central composite design
title Dataset on optimization of EDM machining parameters by using central composite design
title_full Dataset on optimization of EDM machining parameters by using central composite design
title_fullStr Dataset on optimization of EDM machining parameters by using central composite design
title_full_unstemmed Dataset on optimization of EDM machining parameters by using central composite design
title_short Dataset on optimization of EDM machining parameters by using central composite design
title_sort dataset on optimization of edm machining parameters by using central composite design
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369405/
https://www.ncbi.nlm.nih.gov/pubmed/30788395
http://dx.doi.org/10.1016/j.dib.2019.01.019
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