Process Parameters Optimization for Green Manufacturing of Laser Cladding Based on Artificial Neural Network

Abstract:

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Laser cladding is a new developed green manufacturing process. The main process parameters include the power of laser beam, the diameter of laser facula, the scan speed and the quantity of powder supply. It’s difficulty to analyse the influence of the process factors to the product quality because the effect mechanism is quiet complicated. Model of Artificial neural network for the optimization of process parameter in laser cladding manufacturing was developed in this paper. And proper process parameters were achieved which can provide guide for the practice production.

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Edited by:

Zhengyi Jiang and Chunliang Zhang

Pages:

2310-2313

DOI:

10.4028/www.scientific.net/AMR.97-101.2310

Citation:

Z. W. Niu et al., "Process Parameters Optimization for Green Manufacturing of Laser Cladding Based on Artificial Neural Network", Advanced Materials Research, Vols. 97-101, pp. 2310-2313, 2010

Online since:

March 2010

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Price:

$35.00

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