Zhi-gang Liu, Zhongxiang Ma, C. Pei, Gengjin Sui, Zhen Ji
{"title":"Sawing Test Analysis and Reliability Verification of Salix","authors":"Zhi-gang Liu, Zhongxiang Ma, C. Pei, Gengjin Sui, Zhen Ji","doi":"10.1109/QR2MSE46217.2019.9021219","DOIUrl":null,"url":null,"abstract":"Aiming at the Salix sawing process because of the unreasonable parameters caused by the cutting effect is poor, saw severe wear and due to the high-speed rotation of the safety problem of high energy consumption, the use of indoor cutting test bench simulation of field work in low speed circumstances. Based on Box-Behnken central combination test method, a multivariate mathematical regression model was established by taking the sawing speed, feed speed and the number of saw blade teeth as the influencing factors, and the sawing power and the sawing surface quality score as the objective function. The results show that the notable order of sawing power influence is sawing speed, feed speed and number of saw blade teeth; the notable order of sawing surface quality score is feed speed, sawing speed and number of saw blade teeth; the optimal combination of working parameters is sawing speed 850 r/min, feed speed 15 mm/s and number of teeth 100 T. Under this combination, sawing power and sawing surface quality score are 156.6W and 81 points. The reliability of the mathematical model is described by probability and data statistics. The relative error of reliability test is used as the evaluation index. The optimized parameter combination is basically accurate, and the established mathematical model meets the reliability requirements.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QR2MSE46217.2019.9021219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aiming at the Salix sawing process because of the unreasonable parameters caused by the cutting effect is poor, saw severe wear and due to the high-speed rotation of the safety problem of high energy consumption, the use of indoor cutting test bench simulation of field work in low speed circumstances. Based on Box-Behnken central combination test method, a multivariate mathematical regression model was established by taking the sawing speed, feed speed and the number of saw blade teeth as the influencing factors, and the sawing power and the sawing surface quality score as the objective function. The results show that the notable order of sawing power influence is sawing speed, feed speed and number of saw blade teeth; the notable order of sawing surface quality score is feed speed, sawing speed and number of saw blade teeth; the optimal combination of working parameters is sawing speed 850 r/min, feed speed 15 mm/s and number of teeth 100 T. Under this combination, sawing power and sawing surface quality score are 156.6W and 81 points. The reliability of the mathematical model is described by probability and data statistics. The relative error of reliability test is used as the evaluation index. The optimized parameter combination is basically accurate, and the established mathematical model meets the reliability requirements.