Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology

Metal Injection Moulding (MIM) is an effective near-net-shape process for producing small, intricate parts in high volumes. Many optimizations of the MIM process parameter have been published without using any of the statistical based Design of Experiment (DOE) methodology and ends with unsatisfacto...

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Published in:Nigerian Journal of Technological Development
Main Author: Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
Format: Article
Language:English
Published: University of Ilorin, Faculty of Engineering and Technology 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214708030&doi=10.4314%2fnjtd.v21i4.2879&partnerID=40&md5=eb45325d0f81c8b7e5c754bc68fee03e
id 2-s2.0-85214708030
spelling 2-s2.0-85214708030
Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
2024
Nigerian Journal of Technological Development
21
4
10.4314/njtd.v21i4.2879
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214708030&doi=10.4314%2fnjtd.v21i4.2879&partnerID=40&md5=eb45325d0f81c8b7e5c754bc68fee03e
Metal Injection Moulding (MIM) is an effective near-net-shape process for producing small, intricate parts in high volumes. Many optimizations of the MIM process parameter have been published without using any of the statistical based Design of Experiment (DOE) methodology and ends with unsatisfactory results in a wide range of experimental settings. This paper focuses on analysing the optimization of injection moulding process parameters for titanium alloy Ti-6Al-4V green parts using response surface methodology (RSM) to determine significant parameters. The feedstock is prepared by mixing Ti-6Al-4V powder with palm stearin (PS) and polyethylene (PE) binders in three different powder loadings: 63 vol%, 65 vol%, and 67 vol%. RSM is then used to create a Design of Experiment (DOE) to optimize parameters, including A: injection pressure, B: injection temperature, C: powder loading, D: mould temperature, and E: holding pressure. Analysis of variance (ANOVA) was performed to identify the significant parameters influencing defects in Ti-6Al-4V green parts. The study successfully identified the optimal conditions for producing Ti-6Al-4V components using PS and PE binders: A: 443.139 bars, B: 142.11 ºC, C: 65.38 vol.%, D: 44.694 ºC, and E: 629.561 bar. Scanning electron microscopy (SEM) from optimised of green part shows that the primary backbone polymer PE holds the green part and generates wetting for the feedstock and will ease moulding and shaping while the secondary backbone PS will act as a soft polymer that can provide the moisture to the feedstock. © 2024, University of Ilorin, Faculty of Engineering and Technology. All rights reserved.
University of Ilorin, Faculty of Engineering and Technology
1899546
English
Article

author Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
spellingShingle Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
author_facet Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
author_sort Saedon J.B.; Mohamad Nor N.H.; Shawal S.; Arifin A.; Mifzal M.A.; Ahmad S.
title Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
title_short Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
title_full Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
title_fullStr Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
title_full_unstemmed Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
title_sort Defects Optimization of Green Part Ti-6Al-4V with Palm Stearin Binder using Response Surface Methodology
publishDate 2024
container_title Nigerian Journal of Technological Development
container_volume 21
container_issue 4
doi_str_mv 10.4314/njtd.v21i4.2879
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214708030&doi=10.4314%2fnjtd.v21i4.2879&partnerID=40&md5=eb45325d0f81c8b7e5c754bc68fee03e
description Metal Injection Moulding (MIM) is an effective near-net-shape process for producing small, intricate parts in high volumes. Many optimizations of the MIM process parameter have been published without using any of the statistical based Design of Experiment (DOE) methodology and ends with unsatisfactory results in a wide range of experimental settings. This paper focuses on analysing the optimization of injection moulding process parameters for titanium alloy Ti-6Al-4V green parts using response surface methodology (RSM) to determine significant parameters. The feedstock is prepared by mixing Ti-6Al-4V powder with palm stearin (PS) and polyethylene (PE) binders in three different powder loadings: 63 vol%, 65 vol%, and 67 vol%. RSM is then used to create a Design of Experiment (DOE) to optimize parameters, including A: injection pressure, B: injection temperature, C: powder loading, D: mould temperature, and E: holding pressure. Analysis of variance (ANOVA) was performed to identify the significant parameters influencing defects in Ti-6Al-4V green parts. The study successfully identified the optimal conditions for producing Ti-6Al-4V components using PS and PE binders: A: 443.139 bars, B: 142.11 ºC, C: 65.38 vol.%, D: 44.694 ºC, and E: 629.561 bar. Scanning electron microscopy (SEM) from optimised of green part shows that the primary backbone polymer PE holds the green part and generates wetting for the feedstock and will ease moulding and shaping while the secondary backbone PS will act as a soft polymer that can provide the moisture to the feedstock. © 2024, University of Ilorin, Faculty of Engineering and Technology. All rights reserved.
publisher University of Ilorin, Faculty of Engineering and Technology
issn 1899546
language English
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