Optimizing process parameters to minimize wear-induced material loss in bronze-based hybrid metal matrix composites using the Taguchi method

Metal matrix composites have captured considerable interest in tribological applications, largely owing to their remarkable characteristics, which include a high strength-to-weight ratio and a low wear rate. This investigation delves into the exploration of hybrid metal matrix composites, where cobalt and chromium play the role of reinforcing agents within a bronze foundation. These composites were manufactured through a powder metallurgy process, utilizing cobalt and chromium metal powders with a particle size of 40 μm. Various weight percentage ratios (2.5%, 5.0%, and 7.5%) were utilized to create these composite specimens. To assess their tribological performance, the composite samples were subjected to a sliding wear test using a pin on disk machine, following the ASTM G99 standards. The wear characteristics of these composites were analyzed using the Taguchi method, considering parameters such as the applied load, speed, reinforcement percentage, and sliding distance. In addition, we conducted an analysis of variance on the collected data. To analyze the wear behavior of these hybrid metal matrix composites based on bronze, we utilized both multiple linear regression analysis and a signal-to-noise ratio assessment. The results indicate that the inclusion of cobalt and chromium metal powders as reinforcement materials enhances the tribological properties of the bronze matrix material.

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Publication Details

Journal
AIP Advances
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0203081
Citations
5
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
1.06

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article

Optimizing process parameters to minimize wear-induced material loss in bronze-based hybrid metal matrix composites using the Taguchi method

Mohammad Khalid Al-Sadoon, Arunkumar M. Bongale, B. T. Ramesh, Jayant Giri et al.
5 citations
AIP Advances
Aluminum Alloys Composites Properties
1.06
article

Optimizing process parameters to minimize wear-induced material loss in bronze-based hybrid metal matrix composites using the Taguchi method

Mohammad Khalid Al-Sadoon, Arunkumar M. Bongale, B. T. Ramesh, Jayant Giri, R. Sreenivasa, T. Sathish, Ashok R. Banagar
article en
5 citations

Abstract

Metal matrix composites have captured considerable interest in tribological applications, largely owing to their remarkable characteristics, which include a high strength-to-weight ratio and a low wear rate. This investigation delves into the exploration of hybrid metal matrix composites, where cobalt and chromium play the role of reinforcing agents within a bronze foundation. These composites were manufactured through a powder metallurgy process, utilizing cobalt and chromium metal powders with a particle size of 40 μm. Various weight percentage ratios (2.5%, 5.0%, and 7.5%) were utilized to create these composite specimens. To assess their tribological performance, the composite samples were subjected to a sliding wear test using a pin on disk machine, following the ASTM G99 standards. The wear characteristics of these composites were analyzed using the Taguchi method, considering parameters such as the applied load, speed, reinforcement percentage, and sliding distance. In addition, we conducted an analysis of variance on the collected data. To analyze the wear behavior of these hybrid metal matrix composites based on bronze, we utilized both multiple linear regression analysis and a signal-to-noise ratio assessment. The results indicate that the inclusion of cobalt and chromium metal powders as reinforcement materials enhances the tribological properties of the bronze matrix material.

AIP AdvancesVol. 14(9)
PES University (IN), Symbiosis International University (IN), King Saud University (SA), Yashwantrao Chavan Maharashtra Open University (IN), Visvesvaraya Technological University (IN), Saveetha University (IN)
King Saud University
Openalex Percentile: Top 26%
Aluminum Alloys Composites Properties
1.06
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