Adaptive spiral tool path generation for computer numerical control machining using point cloud

Author:

Dhanda Mandeep1ORCID,Kukreja Aman1,Pande SS1

Affiliation:

1. CAM Laboratory, Mechanical Engineering Department, Indian Institute of Technology, Maharashtra, Mumbai, India

Abstract

This paper reports a novel method to generate adaptive spiral tool path for the CNC machining of complex sculptured surface represented in the form of cloud of points without the need for surface fitting. The algorithm initially uses uniform 2 D circular mesh-grid to compute the cutter location (CL) points by applying the tool inverse offset method (IOM). These CL points are refined adaptively till the surface form errors converge below the prescribed tolerance limits in both circumferential and radial directions. They are further refined to eliminate the redundancy in machining and generate optimum region wise tool path to minimize the tool lifts. The NC part programs generated by our algorithm were widely tested for different case studies using the commercial CNC simulator as well as by the actual machining trial. Finally, a comparative study was done between our developed system and the commercial CAM software. The results showed that our system is more efficient and robust in terms of the obtained surface quality, productivity, and memory requirement.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Simple Point-based Iso-Scallop Tool Path Planning Method for Noisy Point Clouds with High Robustness and Controlled Errors;Computer-Aided Design;2023-10

2. Compilation of load spectrum of CNC machine tools reliability test program based on Weibull kernel function;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-09-07

3. Efficient CNC Toolpath Generation Using Point Cloud;Advances in Simulation, Product Design and Development;2022-09-19

4. A framework from point clouds to workpieces;Visual Computing for Industry, Biomedicine, and Art;2022-08-23

5. On modelling and analysis of voxel-based force prediction for a 3-axis CNC machining;Advances in Materials and Processing Technologies;2022-07-03

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