{"title":"人发增强聚酯复合材料拉伸强度的数学模型及优化","authors":"P. Rao, C. Kiran, K. E. Prasad","doi":"10.1504/IJCMSSE.2019.10017418","DOIUrl":null,"url":null,"abstract":"Polymeric-based composites were prepared using chopped fibres of human hair in different volume fractions varying from 5% to 25% by weight and in different fibre lengths ranging from 10 mm to 50 mm. Experiments are conducted to know the tensile strength of the composites. Two-factor - five-level historical data model (DOE) is chosen. In the present study, a mathematical model was developed from the experimental results using response surface methodology (RSM) so as to obtain the optimum tensile strength condition for the composite. The correlation coefficient of the regression model was tested by analysis of variance (ANOVA) to check the adequacy of the mathematical model.","PeriodicalId":39426,"journal":{"name":"International Journal of Computational Materials Science and Surface Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mathematical Model and optimization for Tensile strength of Human Hair Reinforced Polyester Composites\",\"authors\":\"P. Rao, C. Kiran, K. E. Prasad\",\"doi\":\"10.1504/IJCMSSE.2019.10017418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Polymeric-based composites were prepared using chopped fibres of human hair in different volume fractions varying from 5% to 25% by weight and in different fibre lengths ranging from 10 mm to 50 mm. Experiments are conducted to know the tensile strength of the composites. Two-factor - five-level historical data model (DOE) is chosen. In the present study, a mathematical model was developed from the experimental results using response surface methodology (RSM) so as to obtain the optimum tensile strength condition for the composite. The correlation coefficient of the regression model was tested by analysis of variance (ANOVA) to check the adequacy of the mathematical model.\",\"PeriodicalId\":39426,\"journal\":{\"name\":\"International Journal of Computational Materials Science and Surface Engineering\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2019.10017418\",\"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.2019.10017418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Mathematical Model and optimization for Tensile strength of Human Hair Reinforced Polyester Composites
Polymeric-based composites were prepared using chopped fibres of human hair in different volume fractions varying from 5% to 25% by weight and in different fibre lengths ranging from 10 mm to 50 mm. Experiments are conducted to know the tensile strength of the composites. Two-factor - five-level historical data model (DOE) is chosen. In the present study, a mathematical model was developed from the experimental results using response surface methodology (RSM) so as to obtain the optimum tensile strength condition for the composite. The correlation coefficient of the regression model was tested by analysis of variance (ANOVA) to check the adequacy of the mathematical model.
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.