R. Hanumantharaya, I. Sogalad, S. Basavarajappa, G. C. Patel
{"title":"航空航天用复合材料粘接接头强度建模与优化","authors":"R. Hanumantharaya, I. Sogalad, S. Basavarajappa, G. C. Patel","doi":"10.1504/ijcmsse.2019.104694","DOIUrl":null,"url":null,"abstract":"In recent past, adhesive bonding gain much attention world-wide in joining of engineered parts namely, automotive and aerospace structures. The strength of adhesive bonded composite joints is studied by conducting experiments based on the matrices of central composite design. The collected data was analysed using response surface methodology. The mathematical model was established to express the load carrying capacity and joint strength as a function of input variables. Further, analysis of variance was carried out to ensure good fit to the experimental data. Moreover, the statistical methods determine significant interaction effects among the factors. Finally, genetic algorithm was used to locate the optimum points of joint strength for the set of inputs, i.e., 40 mm overlap length, 0.2 mm adhesive thickness and 4.526 μm surface roughness. The results showed that adhesively bonded single lap joints strength was influenced by overlap length (8%), adhesive thickness (78.56%), and surface roughness (1.43%). Statistical experimental design techniques were found to be useful in understanding the complex relationships seen in the data, and also in interpreting the results.","PeriodicalId":39426,"journal":{"name":"International Journal of Computational Materials Science and Surface Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijcmsse.2019.104694","citationCount":"4","resultStr":"{\"title\":\"Modelling and optimisation of adhesive bonded joint strength of composites for aerospace applications\",\"authors\":\"R. Hanumantharaya, I. Sogalad, S. Basavarajappa, G. C. Patel\",\"doi\":\"10.1504/ijcmsse.2019.104694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent past, adhesive bonding gain much attention world-wide in joining of engineered parts namely, automotive and aerospace structures. The strength of adhesive bonded composite joints is studied by conducting experiments based on the matrices of central composite design. The collected data was analysed using response surface methodology. The mathematical model was established to express the load carrying capacity and joint strength as a function of input variables. Further, analysis of variance was carried out to ensure good fit to the experimental data. Moreover, the statistical methods determine significant interaction effects among the factors. Finally, genetic algorithm was used to locate the optimum points of joint strength for the set of inputs, i.e., 40 mm overlap length, 0.2 mm adhesive thickness and 4.526 μm surface roughness. The results showed that adhesively bonded single lap joints strength was influenced by overlap length (8%), adhesive thickness (78.56%), and surface roughness (1.43%). Statistical experimental design techniques were found to be useful in understanding the complex relationships seen in the data, and also in interpreting the results.\",\"PeriodicalId\":39426,\"journal\":{\"name\":\"International Journal of Computational Materials Science and Surface Engineering\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/ijcmsse.2019.104694\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Materials Science and Surface Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijcmsse.2019.104694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Materials Science and Surface Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcmsse.2019.104694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Modelling and optimisation of adhesive bonded joint strength of composites for aerospace applications
In recent past, adhesive bonding gain much attention world-wide in joining of engineered parts namely, automotive and aerospace structures. The strength of adhesive bonded composite joints is studied by conducting experiments based on the matrices of central composite design. The collected data was analysed using response surface methodology. The mathematical model was established to express the load carrying capacity and joint strength as a function of input variables. Further, analysis of variance was carried out to ensure good fit to the experimental data. Moreover, the statistical methods determine significant interaction effects among the factors. Finally, genetic algorithm was used to locate the optimum points of joint strength for the set of inputs, i.e., 40 mm overlap length, 0.2 mm adhesive thickness and 4.526 μm surface roughness. The results showed that adhesively bonded single lap joints strength was influenced by overlap length (8%), adhesive thickness (78.56%), and surface roughness (1.43%). Statistical experimental design techniques were found to be useful in understanding the complex relationships seen in the data, and also in interpreting the results.
期刊介绍:
IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.