A Neural Network Process Model For Abrasive Flow Machining Operations
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.
K. L. Petri et al., "A Neural Network Process Model For Abrasive Flow Machining Operations," Journal of Manufacturing Systems, vol. 17, no. 1, pp. 52 - 64, Elsevier, Jan 1998.
The definitive version is available at https://doi.org/10.1016/S0278-6125(98)80009-5
Mechanical and Aerospace Engineering
Keywords and Phrases
Abrasive Flow Machining; Extrusion Honing; Neural Networks; Process Control; Process Modeling
International Standard Serial Number (ISSN)
Article - Journal
© 2023 Elsevier, All rights reserved.
01 Jan 1998