An Approach for Modeling Sheet Metal Forming for Process Controller Design

Author:

Hsu C.-W.1,Ulsoy A. G.1,Demeri M. Y.2

Affiliation:

1. Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109-2125

2. Ford Research Laboratories, Ford Motor Company, Dearborn, MI 48121

Abstract

Varying the blank holder force during forming can lead to higher formability and accuracy, and better part consistency. Process control, using on-line adjustment of the blank holder force to follow a reference process variable (e.g., the punch force, the draw-in, etc.) trajectory has been applied to sheet metal forming. However, process controller design has not been thoroughly addressed. In this paper, the essential part for systematic process controller design, i.e., modeling a sheet metal forming process, will be addressed in terms of control terminology (e.g., the process model, the model uncertainty and the disturbance). A process model for u-channel forming, i.e., a mathematical relationship between the blank holder force and the punch force, is presented and experimentally validated. Characterization of the model uncertainty mainly due to small variations in blank size, sheet thickness, material properties and tooling shape due to die wear and the disturbance which is mainly due to friction is developed. [S1087-1357(00)01304-6]

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

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1. MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive;IEEE Transactions on Automation Science and Engineering;2022-07

2. An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process;2021 IEEE 17th International Conference on Automation Science and Engineering (CASE);2021-08-23

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4. A Review of Manufacturing Process Control;Journal of Manufacturing Science and Engineering;2020-09-28

5. Optimization of blank shape and segmented variable blank holder force trajectories in deep drawing using sequential approximate optimization;The International Journal of Advanced Manufacturing Technology;2016-12-23

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