一种基于前瞻性的实时数控加工过程在线几何仿真算法

IF 12.2 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Tianze Qiu , Bofang Dai , Wenlei Xiao , Chen Zhao , Gang Zhao
{"title":"一种基于前瞻性的实时数控加工过程在线几何仿真算法","authors":"Tianze Qiu ,&nbsp;Bofang Dai ,&nbsp;Wenlei Xiao ,&nbsp;Chen Zhao ,&nbsp;Gang Zhao","doi":"10.1016/j.jmsy.2025.02.013","DOIUrl":null,"url":null,"abstract":"<div><div>Intelligent CNC machining requires advanced online geometric simulation to improve transparency and optimize machining processes. The simulation algorithms need to be efficient enough to keep up with machine tool motions. However, traditional algorithms, which typically discretize the entire blank initially, often result in redundant computations, hindering efficiency in online environments. To strike a balance between efficiency and accuracy, this paper presents an efficient online simulation algorithm with three key innovations. First, the algorithm incorporates the concept of look-ahead into geometric simulation to pinpoint workpiece areas likely to contact the cutting tool. Second, it employs a dynamic voxel partitioning mechanism that adapts to the cutting tool’s movement, reducing data structures and eliminating redundant computations. Third, a hybrid modeling approach integrates voxel model spatial indexing with Tri-dexel model Boolean operations, enabling rapid local positioning and efficient micro-structural representation of the workpiece. Additionally, the algorithm is further optimized in key stages such as online interpolation and surface reconstruction. This algorithm has been integrated into several online simulation software systems and tested and validated on multiple typical 3/5-axis workpieces. Actual machining experiments confirm its efficiency, with over 99% of simulation computation times below 10 ms, meeting the requirements for online environments. The algorithm also demonstrates excellent performance in simulating large-scale aerospace workpieces, providing a solid foundation for real-time synchronization of geometric and physical parameters.</div></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"80 ","pages":"Pages 108-125"},"PeriodicalIF":12.2000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An efficient online geometric simulation algorithm for real-time CNC machining process based on look-ahead method\",\"authors\":\"Tianze Qiu ,&nbsp;Bofang Dai ,&nbsp;Wenlei Xiao ,&nbsp;Chen Zhao ,&nbsp;Gang Zhao\",\"doi\":\"10.1016/j.jmsy.2025.02.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Intelligent CNC machining requires advanced online geometric simulation to improve transparency and optimize machining processes. The simulation algorithms need to be efficient enough to keep up with machine tool motions. However, traditional algorithms, which typically discretize the entire blank initially, often result in redundant computations, hindering efficiency in online environments. To strike a balance between efficiency and accuracy, this paper presents an efficient online simulation algorithm with three key innovations. First, the algorithm incorporates the concept of look-ahead into geometric simulation to pinpoint workpiece areas likely to contact the cutting tool. Second, it employs a dynamic voxel partitioning mechanism that adapts to the cutting tool’s movement, reducing data structures and eliminating redundant computations. Third, a hybrid modeling approach integrates voxel model spatial indexing with Tri-dexel model Boolean operations, enabling rapid local positioning and efficient micro-structural representation of the workpiece. Additionally, the algorithm is further optimized in key stages such as online interpolation and surface reconstruction. This algorithm has been integrated into several online simulation software systems and tested and validated on multiple typical 3/5-axis workpieces. Actual machining experiments confirm its efficiency, with over 99% of simulation computation times below 10 ms, meeting the requirements for online environments. The algorithm also demonstrates excellent performance in simulating large-scale aerospace workpieces, providing a solid foundation for real-time synchronization of geometric and physical parameters.</div></div>\",\"PeriodicalId\":16227,\"journal\":{\"name\":\"Journal of Manufacturing Systems\",\"volume\":\"80 \",\"pages\":\"Pages 108-125\"},\"PeriodicalIF\":12.2000,\"publicationDate\":\"2025-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278612525000457\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278612525000457","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

摘要

智能数控加工需要先进的在线几何仿真来提高透明度和优化加工过程。仿真算法需要足够高效,以跟上机床的运动。然而,传统的算法通常将整个空白初始离散化,往往导致冗余计算,阻碍了在线环境中的效率。为了在效率和精度之间取得平衡,本文提出了一种高效的在线仿真算法。首先,该算法将前瞻性的概念纳入几何模拟,以确定可能接触刀具的工件区域。其次,采用适应刀具运动的动态体素划分机制,减少数据结构,消除冗余计算。第三,混合建模方法将体素模型空间索引与三自由度模型布尔运算相结合,实现了工件的快速局部定位和有效的微观结构表示。此外,对算法在在线插值和曲面重构等关键阶段进行了进一步优化。该算法已集成到多个在线仿真软件系统中,并在多个典型的3/5轴工件上进行了测试和验证。实际加工实验证实了该方法的有效性,99%以上的仿真计算时间在10ms以下,满足在线环境的要求。该算法在大型航空航天工件仿真中也表现出优异的性能,为几何参数和物理参数的实时同步提供了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient online geometric simulation algorithm for real-time CNC machining process based on look-ahead method
Intelligent CNC machining requires advanced online geometric simulation to improve transparency and optimize machining processes. The simulation algorithms need to be efficient enough to keep up with machine tool motions. However, traditional algorithms, which typically discretize the entire blank initially, often result in redundant computations, hindering efficiency in online environments. To strike a balance between efficiency and accuracy, this paper presents an efficient online simulation algorithm with three key innovations. First, the algorithm incorporates the concept of look-ahead into geometric simulation to pinpoint workpiece areas likely to contact the cutting tool. Second, it employs a dynamic voxel partitioning mechanism that adapts to the cutting tool’s movement, reducing data structures and eliminating redundant computations. Third, a hybrid modeling approach integrates voxel model spatial indexing with Tri-dexel model Boolean operations, enabling rapid local positioning and efficient micro-structural representation of the workpiece. Additionally, the algorithm is further optimized in key stages such as online interpolation and surface reconstruction. This algorithm has been integrated into several online simulation software systems and tested and validated on multiple typical 3/5-axis workpieces. Actual machining experiments confirm its efficiency, with over 99% of simulation computation times below 10 ms, meeting the requirements for online environments. The algorithm also demonstrates excellent performance in simulating large-scale aerospace workpieces, providing a solid foundation for real-time synchronization of geometric and physical parameters.
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
Journal of Manufacturing Systems
Journal of Manufacturing Systems 工程技术-工程:工业
CiteScore
23.30
自引率
13.20%
发文量
216
审稿时长
25 days
期刊介绍: The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs. With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信