Using artificial neural networks in catching parameter relationships for laser transformation hardening and laser cladding

Xian-Ning Liao

doi:10.1117/12.144172

11 May 1993 Using artificial neural networks in catching parameter relationships for laser transformation hardening and laser cladding

Xian-Ning Liao

Author Affiliations +

Proceedings Volume 1979, 1992 International Conference on Lasers and Optoelectronics; (1993) https://doi.org/10.1117/12.144172
Event: 1992 International Conference on Lasers and Optoelectronics, 1992, Bejing, China

Abstract

In this paper a presentation of some study results on the use of artificial neural networks (ANN) in the laser materials processing area is given. It is shown that ANN has the ability to catch process variable relationships by a training process using a small set of data and then generating seemingly more information. Some basics about ANN are given. Also, two cases of experimentation are presented which are used as case studies for the ANN analysis and are taken from the laser transformation hardenting process and the laser cladding process. After a discussion of how to set up a network structure, the ANN analysis results are presented for hardening and cladding.

Citation Download Citation

Xian-Ning Liao "Using artificial neural networks in catching parameter relationships for laser transformation hardening and laser cladding", Proc. SPIE 1979, 1992 International Conference on Lasers and Optoelectronics, (11 May 1993); https://doi.org/10.1117/12.144172

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