Hybrid Intelligence Process Parameters Setting and Optimization on Differential Pressure Vacuum Casting

Abstract:

Considering that the problem of traditional process parameters setting in vacuum casting machine is of long period, high cost and inferior quality stability, a kind of hybrid intelligent decision model which combined with case-based reasoning, neural network and fuzzy reasoning were established. First, use the case-based reasoning technology to extract the similar case from the case database. Then, use the initial parameters to run the mould trial. Finally, use the fuzzy reasoning technology to optimize the initial parameters according to the product defects. Based on the above-mentioned intelligence model, the related hardware and software system was established. The actual practice proved that the system is effective and can be used in practical production.

• Periodical: Key Engineering Materials (Volume 522)
• Pages: 156-161
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.522.156
• Online since: August 2012
• Authors: Tian Lv, Hai Guang Zhang, Yuan Yuan Liu, Qing Xi Hu
• Keywords: Case-Based Reasoning (CBR), Fuzzy Reasoning, Neural Network (NN), Process Parameters Optimization

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