首页|基于人工智能的镁合金压铸模标准件快速检索及自动装配系统的研究

基于人工智能的镁合金压铸模标准件快速检索及自动装配系统的研究

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人工智能是一门集认知、机器学习、情感识别、人类智能为一体的多学科交叉技术,作者分析了目前镁合金压铸模标准件调用过程中存在的问题,提出了基于人工智能管理的镁合金压铸模标准件快速检索与自动装配系统的开发理念,构建了压铸模快速设计系统。以镁合金仪表盖为压铸模具的设计对象,详细介绍了利用该系统设计镁合金压铸模具的过程。新的基于人工智能的镁合金压铸模标准件快速检索和自动装配系统效率更高,软件操作更简单,可以自我学习。随着设计系统的应用,该系统将变得更加适用,解决了设计师的思维过程无法跟上CAD软件的步伐的问题,对设计高效快速的镁合金压铸模具有参考价值。
Research on Rapid Retrieval and Automatic Assembly System for Magnesium Alloy Die Casting Die Standard Parts Based on Artificial Intelligence
Artificial intelligence is a multidisciplinary interdisciplinary technology that integrates cognition,machine learning,emotion recognition,and human intelligence.The author analyzed the problems in the current process of calling standard parts for magnesium alloy die-casting molds,proposed the development concept of a rapid retrieval and automatic assembly system for magnesium alloy die-casting mold standard parts based on artificial intelligence management,and constructed a rapid design system for die-casting molds.The process of designing magnesium alloy die-casting dies using this system was introduced in detail,with the magnesium alloy instrument cover as the design object.The new artificial intelligence based rapid retrieval and automatic assembly system for magnesium alloy die-casting mold standard parts has higher efficiency,simpler software operation,and self-learning capabilities.With the application of design systems,they will become very useful,solving the problem of designers'thinking processes being unable to keep up with the pace of CAD software.It has reference value for designing efficient and fast magnesium alloy die-casting molds.

artificial intelligencemagnesium alloysdie casting diemachine learningexpert system

张艳琴

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郑州经贸学院 计算机与人工智能学院,河南郑州 451191

人工智能 镁合金 压铸模 机器学习 专家系统

河南省高等高校重点科研项目

22B520033

2024

铸造
沈阳铸造研究所 中国机械工程学会铸造分会

铸造

CSTPCD
影响因子:0.499
ISSN:1001-4977
年,卷(期):2024.73(4)
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