Abstract
Incremental Sheet Forming (ISF) is a freeform manufacturing method whereby a 3D geometry is created by progressively deforming a metal sheet with a single point tool following a defined trajectory. The thickness distribution of a formed part is a major consideration of the process and is believed to be improved by forming the geometry in multiple stages. This paper describes a series of experiments in which truncated cone geometries were formed using two multistage methods and compared to the same geometry formed using the traditional single stage method. The geometric accuracy and thickness distributions, including 3D thickness distribution plots, of each are examined using digital image correlation (DIC). The data collected indicate that multistage forming, compared to single stage forming, has a significant effect on the geometric accuracy of the processed sheets. Moreover, the results of the experiments conducted in this paper show that sheets processed with multistage forming do not have a uniform sheet thickness reduction, rather they have a parabolic-like thickness distribution in the processed region.
Recommended Citation
M. M. Gonzalez et al., "Analysis of Geometric Accuracy and Thickness Reduction in Multistage Incremental Sheet Forming using Digital Image Correlation," Procedia Manufacturing, vol. 34, pp. 950 - 960, Elsevier B.V., Jun 2019.
The definitive version is available at https://doi.org/10.1016/j.promfg.2019.06.105
Meeting Name
47th SME North American Manufacturing Research Conference, NAMRC 2019 (2019: Jun. 10-14, Erie, PA)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Digital Image Correlation; Geometric Accuracy; Incremental Sheet Forming; Multistage; Strain; Thickness
International Standard Serial Number (ISSN)
2351-9789
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Publication Date
01 Jun 2019
Comments
This work was supported by the Boeing Company and the Center for Aerospace Manufacturing Technologies at the Missouri University of Science and Technology.