A Neural Network Process Model For Abrasive Flow Machining Operations

Abstract

This paper describes the development of a predictive process modeling system for the abrasive flow machining (AFM) process. This process is used for polishing and surface removal of workpieces with an internal flow path. The core of the process modeling system is a set of neural network models that predicts surface finish and dimensional change. These neural network models are then paired with a heuristic search algorithm to select sets of machine setup parameters for the AFM process. The heuristic search is specifically designed to avoid allowing the neural networks to extrapolate. The completed system was validated using several test pieces, and the results were very promising. The system is currently planned for implementation into the production process. The system has the potential to significantly reduce the development time for new applications of the process and can also be used to suggest alternative machine setup parameters when certain media types are unavailable.

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Abrasive Flow Machining; Extrusion Honing; Neural Networks; Process Control; Process Modeling

International Standard Serial Number (ISSN)

0278-6125

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Elsevier, All rights reserved.

Publication Date

01 Jan 1998

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