An Algorithmic Approach for Designing Part Nests for Automotive Body Manufacturing

Abstract This article presents an algorithmic approach for designing part nest fixtures used in the automotive industry for presenting sheet metal parts to robots for precision grasping. The algorithm receives the computer-aided design (CAD) model of the part to be nested and some user inputs and produces the CAD model of the part nest, complete with its functional elements like locating pins, side rests, bottom rests, and a frame to hold these elements together. To do this, the algorithm first orients the CAD solid from the as-modeled to the as-nested orientation, then identifies the locations of two points on the part's periphery that can optimally arrest clockwise (CW) and CW rotations, then identifies three, five, or eight points on the part's bottom-facing faces where bottom rests could be placed, and finally generates geometry of the locating pins, side rests, bottom rests, and the frame to hold them together. The algorithm is validated by applying it to four automotive sheet metal parts.

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Publication Details

Journal
Journal of Manufacturing Science and Engineering
Published
2025-11-26
DOI
https://doi.org/10.1115/1.4070493
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

An Algorithmic Approach for Designing Part Nests for Automotive Body Manufacturing

Patrick T. Spicer, Chiradeep Sen, Mark A. Smith
Journal of Manufacturing Science and Engineering
Manufacturing Process and Optimization
article

An Algorithmic Approach for Designing Part Nests for Automotive Body Manufacturing

Patrick T. Spicer, Chiradeep Sen, Mark A. Smith
article en

Abstract

Abstract This article presents an algorithmic approach for designing part nest fixtures used in the automotive industry for presenting sheet metal parts to robots for precision grasping. The algorithm receives the computer-aided design (CAD) model of the part to be nested and some user inputs and produces the CAD model of the part nest, complete with its functional elements like locating pins, side rests, bottom rests, and a frame to hold these elements together. To do this, the algorithm first orients the CAD solid from the as-modeled to the as-nested orientation, then identifies the locations of two points on the part's periphery that can optimally arrest clockwise (CW) and CW rotations, then identifies three, five, or eight points on the part's bottom-facing faces where bottom rests could be placed, and finally generates geometry of the locating pins, side rests, bottom rests, and the frame to hold them together. The algorithm is validated by applying it to four automotive sheet metal parts.

Journal of Manufacturing Science and EngineeringVol. 148(2)
Florida Institute of Technology (US), General Motors (United States) (US), The University of Melbourne (AU), General Motors (India) (IN), Materials Systems (United States) (US)
Openalex Percentile: Top 51%
Manufacturing Process and Optimization
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