{"title":"优化搅拌摩擦焊AA6061 + SiCp金属基复合材料,提高接头抗拉强度,减少缺陷","authors":"N. Dilip Raja, R. Naren Shankar","doi":"10.1051/smdo/2021028","DOIUrl":null,"url":null,"abstract":"Friction stir welding has been used in automobiles, locomotive, and aircraft structures. This metal joining process exhibits defects like kissing bonds, micropores, and tunnels. Factors like the joining material, joint thickness, tool geometry, and operating parameters control the defects in friction stir welding. The parameters like tool rotation, tool pass speed, and tool force have a greater influence on the joint quality. In this study, these parameters are considered to augment the strength of the joint and minimize defects. The metal matrix composite consisting of AA6061 matrix and 10 wt. % SiCp reinforcement is joined used FSW. The weld parameters were varied between 731 and 1068 rpm tool rotation speed, 0.33 and 1.17 mm/s tool pass speed, and 11 and 28 MPa tool force. The joint strength varied from 165 MPa to 244 MPa. The numerical analysis using ANOVA revealed that compared between the three parameters, the tool force had greater control over the tensile strength of the joint. After optimization, the joint was made at a tool rotation speed of 910 rpm, tool pass speed of 0.77 mm/s, and tool force of 22.33 MPa. The tensile strength increased to 249 MPa after using the optimized weld parameters. The number of defects in the joint was reduced after using the optimized weld parameters.","PeriodicalId":37601,"journal":{"name":"International Journal for Simulation and Multidisciplinary Design Optimization","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization of friction STIR welded AA6061 + SiCp metal matrix composite to increase joint tensile strength and reduce defects\",\"authors\":\"N. Dilip Raja, R. Naren Shankar\",\"doi\":\"10.1051/smdo/2021028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Friction stir welding has been used in automobiles, locomotive, and aircraft structures. This metal joining process exhibits defects like kissing bonds, micropores, and tunnels. Factors like the joining material, joint thickness, tool geometry, and operating parameters control the defects in friction stir welding. The parameters like tool rotation, tool pass speed, and tool force have a greater influence on the joint quality. In this study, these parameters are considered to augment the strength of the joint and minimize defects. The metal matrix composite consisting of AA6061 matrix and 10 wt. % SiCp reinforcement is joined used FSW. The weld parameters were varied between 731 and 1068 rpm tool rotation speed, 0.33 and 1.17 mm/s tool pass speed, and 11 and 28 MPa tool force. The joint strength varied from 165 MPa to 244 MPa. The numerical analysis using ANOVA revealed that compared between the three parameters, the tool force had greater control over the tensile strength of the joint. After optimization, the joint was made at a tool rotation speed of 910 rpm, tool pass speed of 0.77 mm/s, and tool force of 22.33 MPa. The tensile strength increased to 249 MPa after using the optimized weld parameters. The number of defects in the joint was reduced after using the optimized weld parameters.\",\"PeriodicalId\":37601,\"journal\":{\"name\":\"International Journal for Simulation and Multidisciplinary Design Optimization\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Simulation and Multidisciplinary Design Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1051/smdo/2021028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Simulation and Multidisciplinary Design Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/smdo/2021028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
Optimization of friction STIR welded AA6061 + SiCp metal matrix composite to increase joint tensile strength and reduce defects
Friction stir welding has been used in automobiles, locomotive, and aircraft structures. This metal joining process exhibits defects like kissing bonds, micropores, and tunnels. Factors like the joining material, joint thickness, tool geometry, and operating parameters control the defects in friction stir welding. The parameters like tool rotation, tool pass speed, and tool force have a greater influence on the joint quality. In this study, these parameters are considered to augment the strength of the joint and minimize defects. The metal matrix composite consisting of AA6061 matrix and 10 wt. % SiCp reinforcement is joined used FSW. The weld parameters were varied between 731 and 1068 rpm tool rotation speed, 0.33 and 1.17 mm/s tool pass speed, and 11 and 28 MPa tool force. The joint strength varied from 165 MPa to 244 MPa. The numerical analysis using ANOVA revealed that compared between the three parameters, the tool force had greater control over the tensile strength of the joint. After optimization, the joint was made at a tool rotation speed of 910 rpm, tool pass speed of 0.77 mm/s, and tool force of 22.33 MPa. The tensile strength increased to 249 MPa after using the optimized weld parameters. The number of defects in the joint was reduced after using the optimized weld parameters.
期刊介绍:
The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).