Automatic Tool Path Generation Based Freeform Features Recognition

被引:2
作者
Abdulghafour, Amjad Barzan [1 ]
Hassan, Ahmed Thamer [1 ]
机构
[1] Univ Technol Baghdad, Dept Prod Engn & Met, Baghdad, Iraq
来源
2020 13TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2020) | 2020年
关键词
3D CAD; Tool Path Generation; Freeform Features; Forward Step; Side-Step;
D O I
10.1109/DeSE51703.2020.9450243
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
the development of CAD/CAM technology has significantly increased efficiency in each individual area. "Tool path generation is an important step for the machining of freeform surface. A number of algorithms have been proposed by different researchers for the accurate and efficient tool path generation for the machining of the freeform surface. In this research the study is focus on developed algorithm for generates tool path based freeform features recognition by using the one of the important surface property (Curvature), where has been using the sign of the curvature for recognize the freeform features. The developed algorithm is implemented using multi patches construction of non-uniform B-Spline surface. And the algorithm includes two components, first is the forward-step function that determines the maximum distance between two cutter contact points with a given tolerance. The second components are the side-step function which determines the maximum distance between two adjacent tool paths with a given scallop height". The result of the algorithm (G-Code) is obtained by using MATLAB software and it's simulated and verification by using CIMCO software, where the freeform features has machined severally. The main aim of machining the freeform features severally is avoiding the changing in the machining setup. Hence the CNC milling selects the suitable setup to machine each feature. And therefore, the algorithm has been able to reduce the machining time.
引用
收藏
页码:82 / 87
页数:6
相关论文
共 50 条
[21]   Efficiency-optimal iso-planar tool path generation for five-axis finishing machining of freeform surfaces [J].
Hu, Pengcheng ;
Chen, Lufeng ;
Tang, Kai .
COMPUTER-AIDED DESIGN, 2017, 83 :33-50
[22]   Incomplete 2-manifold Mesh Based Tool Path Generation [J].
Lee, Dong-yoon ;
Lee, Sung-gun ;
Kim, Su-jin ;
Yang, Min-yang .
TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2005, 29 (03) :447-454
[23]   Boundary-conformed tool path generation based on global reparametrization [J].
Hu, Pengcheng ;
Chen, Lufeng ;
Wang, JiaRui ;
Tang, Kai .
2015 14TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS (CAD/GRAPHICS), 2015, :165-172
[24]   Tool Path Generation for Turbine Blades Machining With Twin Tool [J].
Lu, Dun ;
Liu, Jun ;
Zhao, Wanhua ;
Lu, Bingheng ;
Wu, Diaodiao ;
Song, Dongdong ;
Xue, Fei ;
Cheng, Bing .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2017, 139 (11)
[25]   Voxel Based Automatic Tool Path Planning Approach Using Scanned Data as the Stock [J].
Shen, Fei ;
Tarbutton, Joshua .
47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), 2019, 34 :26-32
[26]   A STEP based tool path generation system for rough machining of planar surfaces [J].
Liang, M ;
Ahamed, S ;
vandenBerg, B .
COMPUTERS IN INDUSTRY, 1996, 32 (02) :219-231
[27]   Incomplete two-manifold mesh-based tool path generation [J].
Dong-Yoon Lee ;
Su-Jin Kim ;
Hyun-Chul Kim ;
Sung-Gun Lee ;
Min-Yang Yang .
The International Journal of Advanced Manufacturing Technology, 2006, 27 :797-803
[28]   Tool-path generation for industrial robotic surface-based application [J].
He Lyu ;
Yue Liu ;
Jiao-Yang Guo ;
He-Ming Zhang ;
Ze-Xiang Li .
Advances in Manufacturing, 2019, 7 :64-72
[29]   Incomplete two-manifold mesh-based tool path generation [J].
Lee, DY ;
Kim, SJ ;
Kim, HC ;
Lee, SG ;
Yang, MY .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 27 (7-8) :797-803
[30]   Tool-path generation for industrial robotic surface-based application [J].
Lyu, He ;
Liu, Yue ;
Guo, Jiao-Yang ;
Zhang, He-Ming ;
Li, Ze-Xiang .
ADVANCES IN MANUFACTURING, 2019, 7 (01) :64-72