一种镶针筒氮碳共渗处理的微变形调节控制方法
By using an ammonium carbamate pre-atmosphere and an autonomous learning model to optimize process parameters in the nitrocarburizing process with inserts, the problems of hydrogen embrittlement and micro-deformation control were solved, and an efficient and stable production process was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG YIFAN AUTOMATION EQUIP CO LTD
- Filing Date
- 2025-11-14
- Publication Date
- 2026-07-17
AI Technical Summary
The existing nitrocarburizing process for inserting needles has problems such as difficulty in eliminating the risk of hydrogen embrittlement and poor precision in controlling micro-deformation, resulting in unstable product quality and low production efficiency.
Ammonium carbamate was used as the pre-atmosphere source. The process parameters were optimized through a self-learning model. Combined with wide and narrow threshold experiments, a precise mapping relationship between process input and output parameters was established. Intelligent control methods were used to achieve micro-deformation adjustment.
It effectively eliminated the risk of hydrogen embrittlement, improved product reliability and production efficiency, achieved high-quality and stable production, and reduced the number of tests and costs.
Smart Images
Figure CN121411367B_ABST