Research on Three-Section Type Tool Path Planning Algorithm for Tooth Hot Pressing Model Cutting

2021 ◽  
pp. 107817
Author(s):  
Lijun Zhang ◽  
Shaowei Fang ◽  
Jiayi Xu ◽  
Ning Yang ◽  
Weijian Guo ◽  
...  
2008 ◽  
Vol 392-394 ◽  
pp. 575-579
Author(s):  
Yu Hao Li ◽  
Jing Chun Feng ◽  
Y. Li ◽  
Yu Han Wang

Self-affine and stochastic affine transforms of R2 Iterated Function System (IFS) are investigated in this paper for manufacturing non-continuous objects in nature that exhibit fractal nature. A method for modeling and fabricating fractal bio-shapes using machining is presented. Tool path planning algorithm for numerical control machining is presented for the geometries generated by our fractal generation function. The tool path planning algorithm is implemented on a CNC machine, through executing limited number of iteration. This paper describes part of our ongoing research that attempts to break through the limitation of current CAD/CAM and CNC systems that are oriented to Euclidean geometry objects.


Author(s):  
Chi Zhou

This paper presents a novel tool path planning approach for polygonal mirror scanning based stereolithography (STL) process. Compared with traditional laser scanning and mask projection based STL process, the polygonal mirror scanning based process can build part with high surface quality and precision without losing the fabrication efficiency. As an emerging additive manufacturing (AM) process, no efficient tool path planning algorithm is available in current system. This paper presents a direct tool path planning algorithm without converting the three-dimensional model into two-dimensional contours. Different test cases are used to verify its efficiency and effectiveness. Compared with the commercial software, the proposed algorithm is several times faster. Physical parts are also built using the tool path generated by the proposed algorithm.


Author(s):  
Chi Zhou

This paper presents a novel tool path planning approach for polygonal mirror scanning based Stereolithography (SL) process. Compared with traditional laser scanning and mask projection based SL process, the polygonal mirror scanning based process can build part with high surface quality and precision without losing the fabrication efficiency. As an emerging additive manufacturing process, no efficient tool path planning algorithm is available in current system. This paper presented a direct tool path planning algorithm without converting the 3-Dimentional model into 2-Dimentional contours. Different test cases are used to verify its efficiency and effectiveness. Compared with the commercial software, the proposed algorithm is several times faster. Physical parts are also built using the tool path generated by the proposed algorithm.


2014 ◽  
Vol 607 ◽  
pp. 853-859
Author(s):  
Miao Liu ◽  
Ying Xue Yao ◽  
Liang Zhou

A tool path planning algorithm that generates contour-parallel tool paths for 2D pockets is proposed. 2D pockets with islands bounded by line and arc segments can be handled. The algorithm first generates raw offset loops by vertex offset, then based on the concepts of offset region and invalid edge, local invalid edges are removed. By the character of direction vectors at the intersections of offset tool paths, the invalid sup-loops are removed. The offset tool paths are linked by depth-first traversal algorithm after constructing a single-parent tree. Experimental results are given to verify the proposed algorithm.


2007 ◽  
Vol 364-366 ◽  
pp. 64-68
Author(s):  
Hao Bo Cheng ◽  
Jing Feng Zhi ◽  
Yong Tian Wang ◽  
Jing Bian

This paper describes a two-dimensional tool-path planning model for minimizing the regularly distributed errors or mid-frequency errors during computer controlled optical surfacing (CCOS) by optimally connecting different tool-path segments. The model was established based on a neuro-fuzzy algorithm, a path neighborhood function which is defined as a victorious output element calculated in a self-organization way, then, the optimum material removal function with a modified weight was derived. The material removal function was studied theoretically and the results of simulation present a Gaussian distribution feature. Discrete removal points and optimized tool-path grid were simulated. Finally, an experiment involving a parabolic mirror was performed for residual error removal and the two-dimensional tool-path planning algorithm was found to be valid.


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