arrow
Return

CNC double spiral tool-path generation based on parametric surface mapping

delete2015-10-01
delete32
PRE
AI
B
Bo Zhou
J
Jibin Zhao *
李论 cover
李论 (Lun Li)
DOI:10.1016/j.cad.2015.06.005delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
High-speed machining (HSM) has been an important method for machining complex parametric surface. Tool-path planning for HSM has a significant impact on processing efficiency and surface quality. A new double spiral tool-path generation algorithm for HSM is proposed in this paper. First, the isothermal lines which satisfy the machining parameters in the mapping parametric domain are computed by means of constructing a thermal conductivity model and solving partial differential equations (PEDs). Furthermore, a smoothness optimization method is proposed to improve the smoothness of the isothermal lines and avoid taking up too much memory. Then, the mapping rules are constructed and the trajectory is planned out in the standard parametric domain in order to generate double spiral trajectory in the corresponding parametric domain. Finally, the trajectory is mapped onto the parametric surface to obtain the tool-paths, and the tool-paths linking method is planned for complex multi-domains. This method can realize the precision milling of complicated parametric surface without tool retractions, and meanwhile it improves the uniformity of the tool-paths and machining efficiency. Our method has been experimented in several simulations and validated successfully through the actual machining of a complicated pocket. The results indicate that this method is superior to other existing machining methods, and it can realize HSM of complicate-shaped pocket based on parametric surface. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
High-speed machining
Partial differential equations
Parameter domain
Mapping rule
Double spiral tool-path
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computer-Aided Design
IF:
3.1
Papers:
3.1K
Citations:
6.4K

Organization

C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704