Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing

In this paper, optimization of the fabrication parameters of an aluminum surface composite with respect to tensile strength and tool wear rate is reported. The surface layer was reinforced with SiC particles to improve the tribological properties of AA-5052. The Taguchi design with orthogonal array...

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Main Authors: Rungwasun Kraiklang, Jariyaporn Onwong, Charuayporn Santhaweesuk
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Journal of Composites Science
Subjects:
Online Access:https://www.mdpi.com/2504-477X/4/2/36
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spelling doaj-cc57c6eb5aef408dbf1ff47d7318313f2020-11-25T02:33:48ZengMDPI AGJournal of Composites Science2504-477X2020-04-014363610.3390/jcs4020036Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir ProcessingRungwasun Kraiklang0Jariyaporn Onwong1Charuayporn Santhaweesuk2Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, ThailandDepartment of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, ThailandDepartment of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, ThailandIn this paper, optimization of the fabrication parameters of an aluminum surface composite with respect to tensile strength and tool wear rate is reported. The surface layer was reinforced with SiC particles to improve the tribological properties of AA-5052. The Taguchi design with orthogonal array L<sub>8</sub> was used for the experimental design, which included three processing parameters: the number of passes, rotational speed, and traversal speed. The experiment used optimal fabrication parameter searching to produce a multi-response prediction of both the tensile strength and tool wear rate. The experimental result was determined by grey relational analysis for multi-performance characteristics. Afterward, the prediction result of the optimal fabrication parameters was confirmed by repeated experiments to confirm the selection of optimal process parameters. The results revealed that the optimal<b> </b>fabrication parameters for multi-performance characteristics are two passes, rotational speed of 1000 revolutions per minute (RPM), and traversal speed of 30 mm/min (condition N<sub>2</sub>R<sub>1</sub>T<sub>2</sub>). These showed high tensile strength (229.90 MPa), low tool wear rate (0.0851), and a uniform distribution of SiC particles in the matrix. In addition, grey relational analysis showed that the parameter priority was 51.68% for rotational speed<b> </b>(the most significant process parameter), 36.18% for transversal speed, and 7.05% for the number of passes. Therefore, the grey-based orthogonal array Taguchi method can optimize multi-performance characteristics through the setting of process parameters for friction stir processing of an aluminum surface composite.https://www.mdpi.com/2504-477X/4/2/36aluminum surface compositefriction stir processinggrey relational analysisTaguchi method
collection DOAJ
language English
format Article
sources DOAJ
author Rungwasun Kraiklang
Jariyaporn Onwong
Charuayporn Santhaweesuk
spellingShingle Rungwasun Kraiklang
Jariyaporn Onwong
Charuayporn Santhaweesuk
Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
Journal of Composites Science
aluminum surface composite
friction stir processing
grey relational analysis
Taguchi method
author_facet Rungwasun Kraiklang
Jariyaporn Onwong
Charuayporn Santhaweesuk
author_sort Rungwasun Kraiklang
title Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
title_short Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
title_full Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
title_fullStr Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
title_full_unstemmed Multi-Performance Characteristics of AA5052 + 10% SiC Surface Composite by Friction Stir Processing
title_sort multi-performance characteristics of aa5052 + 10% sic surface composite by friction stir processing
publisher MDPI AG
series Journal of Composites Science
issn 2504-477X
publishDate 2020-04-01
description In this paper, optimization of the fabrication parameters of an aluminum surface composite with respect to tensile strength and tool wear rate is reported. The surface layer was reinforced with SiC particles to improve the tribological properties of AA-5052. The Taguchi design with orthogonal array L<sub>8</sub> was used for the experimental design, which included three processing parameters: the number of passes, rotational speed, and traversal speed. The experiment used optimal fabrication parameter searching to produce a multi-response prediction of both the tensile strength and tool wear rate. The experimental result was determined by grey relational analysis for multi-performance characteristics. Afterward, the prediction result of the optimal fabrication parameters was confirmed by repeated experiments to confirm the selection of optimal process parameters. The results revealed that the optimal<b> </b>fabrication parameters for multi-performance characteristics are two passes, rotational speed of 1000 revolutions per minute (RPM), and traversal speed of 30 mm/min (condition N<sub>2</sub>R<sub>1</sub>T<sub>2</sub>). These showed high tensile strength (229.90 MPa), low tool wear rate (0.0851), and a uniform distribution of SiC particles in the matrix. In addition, grey relational analysis showed that the parameter priority was 51.68% for rotational speed<b> </b>(the most significant process parameter), 36.18% for transversal speed, and 7.05% for the number of passes. Therefore, the grey-based orthogonal array Taguchi method can optimize multi-performance characteristics through the setting of process parameters for friction stir processing of an aluminum surface composite.
topic aluminum surface composite
friction stir processing
grey relational analysis
Taguchi method
url https://www.mdpi.com/2504-477X/4/2/36
work_keys_str_mv AT rungwasunkraiklang multiperformancecharacteristicsofaa505210sicsurfacecompositebyfrictionstirprocessing
AT jariyapornonwong multiperformancecharacteristicsofaa505210sicsurfacecompositebyfrictionstirprocessing
AT charuaypornsanthaweesuk multiperformancecharacteristicsofaa505210sicsurfacecompositebyfrictionstirprocessing
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