A forging blanking method and control device based on simulation technology
By using simulation technology in forging design to optimize machining allowance and total material volume, the problem of inaccurate forging blanking was solved, improving material utilization and processing efficiency, and reducing enterprise costs.
CN121881689BActive Publication Date: 2026-07-10LUOYANG LYC BEARING
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LUOYANG LYC BEARING
- Filing Date
- 2026-03-20
- Publication Date
- 2026-07-10
AI Technical Summary
Technical Problem
The existing forging blanking design is inaccurate, resulting in low material utilization, low processing efficiency, and rapid die wear.
Method used
Based on simulation technology, by designing machining allowances on the finished part contour and combining machining equipment and bar stock physical and thermodynamic data to perform full-process simulation, the total material volume is optimized to obtain the optimal blanking size and avoid forging defects.
Benefits of technology
It improves the material utilization rate and parts processing efficiency of forging, reduces enterprise costs, and avoids material waste and mold damage.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121881689B_ABST
Abstract
This invention belongs to the field of metal forging technology, specifically relating to a forging blanking method and control device based on simulation technology. The method first designs machining allowances based on the finished part contour, determines the total material volume required for forging production and the corresponding bar stock size based on the machining allowances, and then simulates the entire forging process of the part according to the bar stock size, based on the physical and thermodynamic data of the processing equipment and bar stock required for forging production. If the forging obtained after simulation has forging defects, the total material volume is optimized and adjusted according to the forging defects, and the entire forging process of the part is simulated again based on the bar stock size corresponding to the optimized total material volume. The forging obtained after simulation is analyzed again; if forging defects still exist, the total material volume is optimized and the simulation analysis is repeated until the forging obtained after simulation meets the requirements. The optimal blanking size is determined based on the bar stock size corresponding to the final simulation, thus improving material utilization.
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