Spiral tool path generation for CNC machining using cloud of points

Mandeep Dhanda; Aman Kukreja; S. S. Pande

doi:10.1115/DETC2020-22032

Spiral tool path generation for CNC machining using cloud of points

Mandeep Dhanda, Aman Kukreja, S. S. Pande

Department of Mechanical Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

This paper presents a new method to generate an adaptive spiral tool path for 3-axis CNC machining of the complex freeform surface directly from its representation in the form of the point cloud. The algorithm first constructs the uniform 2D circular mesh-grid to compute the Z (CL) points by applying the tool inverse offset method (IOM). Adaptive grid refinement is carried out iteratively until the surface form errors converge below the prescribed tolerance limits in both circumferential (forward) and radial (step) directions. Adaptive CL points are further refined to minimize the no. of tool lifts and generate an optimum sequence of machining regions. The optimized CL points are post-processed to generate the final CNC part programs in the ISO format. The part programs generated by our algorithm were extensively tested for various case studies using the commercial CNC simulator. The results were compared with those from the commercial CAM software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality, and reduced memory requirement.

Original language	English
Title of host publication	40th Computers and Information in Engineering Conference (CIE)
Publisher	The American Society of Mechanical Engineers(ASME)
ISBN (Electronic)	9780791883983
DOIs	https://doi.org/10.1115/DETC2020-22032
Publication status	Published - 3 Nov 2020
Event	ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020 - Virtual, Online Duration: 17 Aug 2020 → 19 Aug 2020

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	9

Conference

Conference	ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020
City	Virtual, Online
Period	17/08/20 → 19/08/20

Bibliographical note

Funding Information:
The financial support received by the first author from the NCAIR (National Centre for Aerospace Innovation and Research) of IIT Bombay-India is gratefully acknowledged.

Funding

The financial support received by the first author from the NCAIR (National Centre for Aerospace Innovation and Research) of IIT Bombay-India is gratefully acknowledged.

Keywords

CNC Tool Path generation
Grid-based adaptive spiral strategy
The cloud of points

ASJC Scopus subject areas

Mechanical Engineering
Computer Graphics and Computer-Aided Design
Computer Science Applications
Modelling and Simulation

Access to Document

10.1115/DETC2020-22032

Cite this

Spiral tool path generation for CNC machining using cloud of points. / Dhanda, Mandeep; Kukreja, Aman; Pande, S. S.
40th Computers and Information in Engineering Conference (CIE). The American Society of Mechanical Engineers(ASME), 2020. V009T09A014 (Proceedings of the ASME Design Engineering Technical Conference; Vol. 9).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Dhanda, M, Kukreja, A & Pande, SS 2020, Spiral tool path generation for CNC machining using cloud of points. in 40th Computers and Information in Engineering Conference (CIE)., V009T09A014, Proceedings of the ASME Design Engineering Technical Conference, vol. 9, The American Society of Mechanical Engineers(ASME), ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020, Virtual, Online, 17/08/20. https://doi.org/10.1115/DETC2020-22032

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abstract = "This paper presents a new method to generate an adaptive spiral tool path for 3-axis CNC machining of the complex freeform surface directly from its representation in the form of the point cloud. The algorithm first constructs the uniform 2D circular mesh-grid to compute the Z (CL) points by applying the tool inverse offset method (IOM). Adaptive grid refinement is carried out iteratively until the surface form errors converge below the prescribed tolerance limits in both circumferential (forward) and radial (step) directions. Adaptive CL points are further refined to minimize the no. of tool lifts and generate an optimum sequence of machining regions. The optimized CL points are post-processed to generate the final CNC part programs in the ISO format. The part programs generated by our algorithm were extensively tested for various case studies using the commercial CNC simulator. The results were compared with those from the commercial CAM software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality, and reduced memory requirement.",

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N2 - This paper presents a new method to generate an adaptive spiral tool path for 3-axis CNC machining of the complex freeform surface directly from its representation in the form of the point cloud. The algorithm first constructs the uniform 2D circular mesh-grid to compute the Z (CL) points by applying the tool inverse offset method (IOM). Adaptive grid refinement is carried out iteratively until the surface form errors converge below the prescribed tolerance limits in both circumferential (forward) and radial (step) directions. Adaptive CL points are further refined to minimize the no. of tool lifts and generate an optimum sequence of machining regions. The optimized CL points are post-processed to generate the final CNC part programs in the ISO format. The part programs generated by our algorithm were extensively tested for various case studies using the commercial CNC simulator. The results were compared with those from the commercial CAM software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality, and reduced memory requirement.

AB - This paper presents a new method to generate an adaptive spiral tool path for 3-axis CNC machining of the complex freeform surface directly from its representation in the form of the point cloud. The algorithm first constructs the uniform 2D circular mesh-grid to compute the Z (CL) points by applying the tool inverse offset method (IOM). Adaptive grid refinement is carried out iteratively until the surface form errors converge below the prescribed tolerance limits in both circumferential (forward) and radial (step) directions. Adaptive CL points are further refined to minimize the no. of tool lifts and generate an optimum sequence of machining regions. The optimized CL points are post-processed to generate the final CNC part programs in the ISO format. The part programs generated by our algorithm were extensively tested for various case studies using the commercial CNC simulator. The results were compared with those from the commercial CAM software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality, and reduced memory requirement.

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Spiral tool path generation for CNC machining using cloud of points

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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