Sawing Test Analysis and Reliability Verification of Salix

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
柳条锯切试验分析及可靠性验证
针对柳树锯切过程中由于参数不合理造成的锯切效果差、锯片磨损严重以及由于高速旋转造成的能耗高的安全问题,利用室内锯切试验台模拟低速情况下的现场工作。基于Box-Behnken中心组合检验方法,以锯切速度、进给速度和锯片齿数为影响因素,以锯切功率和锯切表面质量分数为目标函数,建立了多元数学回归模型。结果表明:锯切功率影响最大的顺序为锯切速度、进给速度和锯片齿数;锯切表面质量得分显著的顺序为进给速度、锯切速度和锯片齿数;最佳工作参数组合为锯切速度850 r/min,进给速度15 mm/s,齿数100 t。在此组合下,锯切功率和锯切表面质量得分分别为156.6W和81分。用概率和数据统计来描述数学模型的可靠性。采用信度试验的相对误差作为评价指标。优化后的参数组合基本准确,建立的数学模型满足可靠性要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on No-Failure Data Evaluation Method Based on Imported Failure Information A Rosenblatt Transformation Method Based on Copula Function for Solving Structural Reliability Muti-Obiective optimization and Reliability Analysis of Electrostatic Powder Spraying Machine Base Cumulative Analysis of Plastic Deformation of Curved Variable Thickness Cantilever Plate under Bending Load Thermal Fatigue Life of Copper-Filled Laminated Micropore Based on Response Surface Methodology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1