结矢量对NURBS曲线影响的分析与优化策略

Zheng Shuai
{"title":"结矢量对NURBS曲线影响的分析与优化策略","authors":"Zheng Shuai","doi":"10.18178/ijmerr.11.7.549-555","DOIUrl":null,"url":null,"abstract":"This study investigates the variation in the NURBS shape caused by knot vectors produced by various algorithms to minimise the influence of knot vectors on the NURBS interpolation. The differences in shape variations of NURBS curves computed by knot vectors generated by the Hartley–Judd, Riesenfeld and Rogers algorithms are compared and analysed; an error function is defined to analyse the mathematical features of the differences caused by the three calculations and a weighted average calculation method beyond the classical algorithm is proposed. Additionally, the study introduces a combinatorial algorithm for optimising the computing process and increasing computing efficiency. The experimental results show that the new method produces a more accurate NURBS curve than the classical method does, making it more suitable for CNC interpolation.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis and Optimisation Strategy on Influence of Knot Vector to NURBS Curve\",\"authors\":\"Zheng Shuai\",\"doi\":\"10.18178/ijmerr.11.7.549-555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates the variation in the NURBS shape caused by knot vectors produced by various algorithms to minimise the influence of knot vectors on the NURBS interpolation. The differences in shape variations of NURBS curves computed by knot vectors generated by the Hartley–Judd, Riesenfeld and Rogers algorithms are compared and analysed; an error function is defined to analyse the mathematical features of the differences caused by the three calculations and a weighted average calculation method beyond the classical algorithm is proposed. Additionally, the study introduces a combinatorial algorithm for optimising the computing process and increasing computing efficiency. The experimental results show that the new method produces a more accurate NURBS curve than the classical method does, making it more suitable for CNC interpolation.\",\"PeriodicalId\":37784,\"journal\":{\"name\":\"International Journal of Mechanical Engineering and Robotics Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical Engineering and Robotics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/ijmerr.11.7.549-555\",\"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 Mechanical Engineering and Robotics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/ijmerr.11.7.549-555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 2

摘要

本研究调查了由各种算法产生的结向量引起的NURBS形状的变化,以尽量减少结向量对NURBS插补的影响。比较分析了Hartley-Judd、Riesenfeld和Rogers算法生成的结矢量计算的NURBS曲线形状变化的差异;定义了误差函数,分析了三种计算方法差异的数学特征,提出了一种超越经典算法的加权平均计算方法。此外,本文还引入了一种组合算法来优化计算过程,提高计算效率。实验结果表明,新方法得到的NURBS曲线比传统方法得到的NURBS曲线更精确,更适合数控插补。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Analysis and Optimisation Strategy on Influence of Knot Vector to NURBS Curve
This study investigates the variation in the NURBS shape caused by knot vectors produced by various algorithms to minimise the influence of knot vectors on the NURBS interpolation. The differences in shape variations of NURBS curves computed by knot vectors generated by the Hartley–Judd, Riesenfeld and Rogers algorithms are compared and analysed; an error function is defined to analyse the mathematical features of the differences caused by the three calculations and a weighted average calculation method beyond the classical algorithm is proposed. Additionally, the study introduces a combinatorial algorithm for optimising the computing process and increasing computing efficiency. The experimental results show that the new method produces a more accurate NURBS curve than the classical method does, making it more suitable for CNC interpolation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
期刊最新文献
Design and Fabrication of a Semi-Automatic Multifunction Floor Cleaning Machine Effect Of Cutting Parameters On Tool Tip Temperature And Cutting Forces Of Copper Alloy Design and Development of Robot Base Crack Detection System for Railway Track Improving the Efficiency of a Conveyor System in an Automated Manufacturing Environment Using a Model-Based Approach Dimensional Synthesis of a Six-bar Shaper Mechanism with the Genetic Algorithm Optimization Approach
×
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