Haiming Zhang , Jianzhong Yang , Song Gao , Wanqiang Zhu , Chenglei Zhang
{"title":"Arc length–angle space-based overlap-free asymmetric corner smoothing method for five-axis toolpaths","authors":"Haiming Zhang , Jianzhong Yang , Song Gao , Wanqiang Zhu , Chenglei Zhang","doi":"10.1016/j.cirpj.2024.12.009","DOIUrl":null,"url":null,"abstract":"<div><div>Smoothing of linear toolpaths is critical to ensure quality and efficiency in computer numerical control (CNC) machining, particularly in 5-axis machining. However, existing corner smoothing methods often impose overly restrictive constraints on the transition lengths at corners, increasing curvature extremes and reducing the feedrate. To address this issue, this paper presents a five-axis toolpath asymmetric corner smoothing method based on the arc length–angle space. First, an arc length–angle space analysis method is introduced that can synchronize the tool tip position and tool orientation, decoupling the tool tip position and tool orientation smoothing processes. The tool tip position is smoothed with an asymmetric Pythagorean-hodograph (PH) curve in the workpiece coordinate system, whereas the tool orientation is smoothed with an asymmetric B-spline curve in the arc length–angle space. Then, to prevent overlap of adjacent transition curves, transition length adjustment strategies in the workpiece coordinate system and arc length–angle space are proposed to improve the corner feedrate within the set approximate error range. The simulation and machining experiment results show that, compared with existing asymmetric smoothing methods, the proposed method generates smoother toolpaths and achieves higher machining efficiency.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"57 ","pages":"Pages 42-62"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CIRP Journal of Manufacturing Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755581724001949","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Smoothing of linear toolpaths is critical to ensure quality and efficiency in computer numerical control (CNC) machining, particularly in 5-axis machining. However, existing corner smoothing methods often impose overly restrictive constraints on the transition lengths at corners, increasing curvature extremes and reducing the feedrate. To address this issue, this paper presents a five-axis toolpath asymmetric corner smoothing method based on the arc length–angle space. First, an arc length–angle space analysis method is introduced that can synchronize the tool tip position and tool orientation, decoupling the tool tip position and tool orientation smoothing processes. The tool tip position is smoothed with an asymmetric Pythagorean-hodograph (PH) curve in the workpiece coordinate system, whereas the tool orientation is smoothed with an asymmetric B-spline curve in the arc length–angle space. Then, to prevent overlap of adjacent transition curves, transition length adjustment strategies in the workpiece coordinate system and arc length–angle space are proposed to improve the corner feedrate within the set approximate error range. The simulation and machining experiment results show that, compared with existing asymmetric smoothing methods, the proposed method generates smoother toolpaths and achieves higher machining efficiency.
期刊介绍:
The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.