A method for synergistic control of shape and properties and surface treatment of metal additive manufacturing parts
By optimizing parameters through big data simulation systems and genetic algorithms, and combining multi-process processing, the problem of difficulty in coordinating the forming accuracy and internal performance of metal additive manufacturing parts has been solved, achieving high-precision and high-performance manufacturing of parts.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANTONG JIASHENG PRECISION MANUFACTURING CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-06-30
AI Technical Summary
In existing metal additive manufacturing technologies, it is difficult to coordinate the forming accuracy and internal properties of the parts, resulting in large forming deviations, internal pores, and concentrated residual tensile stress, which affect the load-bearing capacity and dimensional accuracy of the parts.
By constructing a part simulation system using big data and combining it with genetic algorithm optimization, the optimal shape and property synergistic control parameters are obtained. Processes such as additive manufacturing, mechanical cutting, heat treatment, plasma electrolytic oxidation and polishing are used to form a dense ceramic oxide film, thereby improving the forming accuracy and internal properties of the parts.
It significantly improves the overall performance of the parts, eliminates residual tensile stress, refines surface grains, increases the surface hardness and corrosion resistance of the parts, ensures that the forming accuracy and internal mechanical properties of the parts meet the standards simultaneously, and improves the product qualification rate and production stability.
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Figure CN122299018A_ABST