Additive manufacturing distributed balanced scanning method and system
By slicing and partitioning the data of the parts to be processed, and adjusting the scanning time difference of the lasers, the problem of unbalanced load in a multi-laser system is solved, and the scanning time balance among multiple lasers is achieved, thereby improving processing efficiency.
CN122274218APending Publication Date: 2026-06-26FUJIAN INST OF RES ON THE STRUCTURE OF MATTER CHINESE ACAD OF SCI
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Patent Information
- Application Number
- CN202610424243.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-01
- Publication Date
- 2026-06-26
AI Technical Summary
Technical Problem
Traditional single-laser scanning methods face problems such as long scanning time, uneven heat accumulation, and high forming defect rate when processing large-sized parts or highly complex structures. Multi-laser systems are inefficient when the load is unbalanced.
Method used
By collecting data on the parts to be processed, slicing and graphic partitioning are performed, the scanning time difference of the lasers is adjusted, and iterative optimization and dynamic task scheduling are adopted to achieve scanning time balance among multiple lasers.
Benefits of technology
It achieves precise balancing of scanning time among multiple lasers, avoiding waiting and efficiency loss caused by uneven load, and significantly improving parallel processing efficiency.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to an additive manufacturing distributed balanced scanning system method and system, and belongs to the technical field of additive manufacturing. The method comprises the steps that data information of a to-be-machined part is collected, and the data information comprises data information of a plurality of slice layers; processing the data information to obtain initial graph partition data, and adjusting the initial graph partition data to obtain first target graph partition data under the condition of determining that the initial graph partition data meets an adjustment condition; re-estimating the total scanning time of each laser based on the first target graph partition data until the time difference of the total scanning time between the lasers is less than a time threshold or the number of iterations reaches a preset number of times, and obtaining second target graph partition data; and distributing the second target graph partition data to each laser for scanning and printing. According to the method, accurate balance of scanning time among multiple lasers is realized, waiting and efficiency loss caused by uneven load are avoided, and the parallel processing efficiency is remarkably improved.
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