{"title":"田口法和ANFIS模型原位微波铸造AA-6063的摩擦学性能","authors":"V. Gangwar, Sudhir Kumar, H. Singh","doi":"10.1115/1.4062371","DOIUrl":null,"url":null,"abstract":"\n Tribological behavior of AA-6063 casted by microwave casting process was investigated. In this work, sliding wear analysis has been done on in-situ cast developed through the novel technique. The in-situ cast of AA-6063 was developed using microwave irradiation. Sliding wear process parameters such as normal load, sliding velocity and sliding distance are optimized through Taguchi technique. L9 orthogonal array and signal-to-noise (S/N) analysis is used to obtain the optimumprocess parametersfor wear rate (WR) as the selected response.After optimization, a confirmatory test was performed using the analysis of variance (ANOVA).Scanning electron microscopy (SEM) images, energy dispersive X-ray spectroscopy (EDS) images and frictional characterisationwere usedto study the mechanism of wear.Using the experimental data an adaptive neuro fuzzy inference system (ANFIS) model has been developed and which was further tested using average wear rate.","PeriodicalId":17586,"journal":{"name":"Journal of Tribology-transactions of The Asme","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tribological Behaviour of AA-6063 Cast Using In-Situ Microwave Process By Taguchi Method & ANFIS Model\",\"authors\":\"V. Gangwar, Sudhir Kumar, H. Singh\",\"doi\":\"10.1115/1.4062371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Tribological behavior of AA-6063 casted by microwave casting process was investigated. In this work, sliding wear analysis has been done on in-situ cast developed through the novel technique. The in-situ cast of AA-6063 was developed using microwave irradiation. Sliding wear process parameters such as normal load, sliding velocity and sliding distance are optimized through Taguchi technique. L9 orthogonal array and signal-to-noise (S/N) analysis is used to obtain the optimumprocess parametersfor wear rate (WR) as the selected response.After optimization, a confirmatory test was performed using the analysis of variance (ANOVA).Scanning electron microscopy (SEM) images, energy dispersive X-ray spectroscopy (EDS) images and frictional characterisationwere usedto study the mechanism of wear.Using the experimental data an adaptive neuro fuzzy inference system (ANFIS) model has been developed and which was further tested using average wear rate.\",\"PeriodicalId\":17586,\"journal\":{\"name\":\"Journal of Tribology-transactions of The Asme\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Tribology-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062371\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Tribology-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062371","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Tribological Behaviour of AA-6063 Cast Using In-Situ Microwave Process By Taguchi Method & ANFIS Model
Tribological behavior of AA-6063 casted by microwave casting process was investigated. In this work, sliding wear analysis has been done on in-situ cast developed through the novel technique. The in-situ cast of AA-6063 was developed using microwave irradiation. Sliding wear process parameters such as normal load, sliding velocity and sliding distance are optimized through Taguchi technique. L9 orthogonal array and signal-to-noise (S/N) analysis is used to obtain the optimumprocess parametersfor wear rate (WR) as the selected response.After optimization, a confirmatory test was performed using the analysis of variance (ANOVA).Scanning electron microscopy (SEM) images, energy dispersive X-ray spectroscopy (EDS) images and frictional characterisationwere usedto study the mechanism of wear.Using the experimental data an adaptive neuro fuzzy inference system (ANFIS) model has been developed and which was further tested using average wear rate.
期刊介绍:
The Journal of Tribology publishes over 100 outstanding technical articles of permanent interest to the tribology community annually and attracts articles by tribologists from around the world. The journal features a mix of experimental, numerical, and theoretical articles dealing with all aspects of the field. In addition to being of interest to engineers and other scientists doing research in the field, the Journal is also of great importance to engineers who design or use mechanical components such as bearings, gears, seals, magnetic recording heads and disks, or prosthetic joints, or who are involved with manufacturing processes.
Scope: Friction and wear; Fluid film lubrication; Elastohydrodynamic lubrication; Surface properties and characterization; Contact mechanics; Magnetic recordings; Tribological systems; Seals; Bearing design and technology; Gears; Metalworking; Lubricants; Artificial joints