Determination of Optimal Shot Peen Forming Patterns Using the Theory of Non-Euclidean Plates
Name
manu_145_3_031006.pdf
Description
Published version
Size
1.02 MB
Format
Adobe PDF
Checksum (MD5)
282621bd3087c1ac9bc2d49db1b1e1df
Author(s)
Sushitskii, Vladislav
van Rees, Wim M.
Levesque, Martin
Gosselin, Frederick P.
Date Issued
December 2, 2022
Journal
Journal of Manufacturing Science and Engineering
Publisher
ASME International
Citation
Sushitskii, V., van Rees, W. M., Levesque, M., and Gosselin, F. P. (December 2, 2022). "Determination of Optimal Shot Peen Forming Patterns Using the Theory of Non-Euclidean Plates." ASME. J. Manuf. Sci. Eng. March 2023; 145(3): 031006.
Version
Final published version
Abstract
We show how a theoretical framework developed for modeling nonuniform growth can model the shot peen forming process. Shot peen forming consists in bombarding a metal panel with multiple millimeter-sized shots that induce local bending of the panel. When applied to different areas of the panel, peen forming generates compound curvature profiles starting from a flat state. We present a theoretical approach and its practical realization for simulating peen forming numerically. To achieve this, we represent the panel undergoing peen forming as a bilayer plate, and we apply a geometry-based theory of non-Euclidean plates to describe its reconfiguration. Our programming code based on this approach solves two types of problems: it simulates the effect of a predefined treatment (the forward problem) and it finds the optimal treatment to achieve a predefined target shape (the inverse problem). Both problems admit using multiple peening regimes simultaneously. The algorithm was tested numerically on 200 randomly generated test cases.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1115/1.4056072
