Hybrid intelligence process parameters setting and optimization on differential pressure vacuum casting

作者：Lv Tian^*; Zhang Haiguang; Liu Yuanyuan; Hu Qingxi

来源：Key Engineering Materials, 2012, 522: 156-161.

DOI：10.4028/www.scientific.net/KEM.522.156

• Case database
• Differential pressures
• Fuzzy reasoning
• Hardware and software
• High costs
• Hybrid intelligence
• In-vacuum
• Inferior quality
• Initial parameter
• Intelligence models
• Intelligent decisions
• Practical production
• Process parameters
• Product defects
• Similar case
• Vacuum casting

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.

• 出版日期2012
• 单位上海大学