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A Review of Research on the optimization of the Entire Life Cycle of Mechanical Manufacturing Based on Artificial Intelligence: from Design to Operation and Maintenance

Author(s)

Xiaoqin Chen, Liwen Wan

Affiliation(s)

School of Intelligent Manufacturing and Automotive Engineering, Shanghai Industrial and Commercial Polytechnic, Shanghai, China

Abstract

With the deepening of Industry 4.0, the integration of artificial intelligence technology and the mechanical manufacturing industry has become the core driving force for promoting industrial upgrading. This article takes the entire life cycle of mechanical manufacturing as the research object, and systematically reviews the application and optimization achievements of artificial intelligence in various stages of design, manufacturing, and operation. By analyzing the innovative applications of AI technologies such as genetic algorithms and neural networks in the design phase, the practice of integrating intelligent manufacturing systems with industrial big data in the manufacturing phase, and breakthroughs in intelligent fault diagnosis and predictive maintenance in the operation and maintenance phase, the key role of AI technology in improving manufacturing efficiency, reducing costs, and enhancing reliability has been revealed. Provide theoretical and practical references for the intelligent transformation of the mechanical manufacturing industry.

Keywords

Artificial Intelligence; Mechanical Manufacturing; Full Lifecycle; Design Optimization; Intelligent Manufacturing; IT Operation Management

References

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