A laser beam energy distribution adaptive modeling method and system
By using experimental data-driven machine learning and optimization algorithms, an adaptive laser beam energy distribution model is constructed, which solves the problem of mismatch between existing laser processing simulation models and actual laser energy distribution, and achieves high-precision simulation prediction and process optimization.
CN122260819APending Publication Date: 2026-06-23HUAZHONG UNIV OF SCI & TECH +1
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Patent Information
- Application Number
- CN202610288272.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-10
- Publication Date
- 2026-06-23
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Figure CN122260819A_ABST
Abstract
The application discloses a kind of laser beam energy distribution self-adapting modeling method and system, belong to intelligent laser processing and digital twin field.The method is extracted by laser focal plane heat flux density distribution data processing, feature vector describing beam energy distribution characteristics;Optimal energy distribution model is intelligently recommended using random forest machine learning algorithm to analyze the classification rule of feature vector;Based on Levenberg-Marquardt optimization algorithm, the model parameters are accurately fitted;The beam model is compiled as a heat source model and loaded into the simulation platform for execution, and the model is verified and continuously optimized through virtual-real data comparison.The application realizes the adaptive construction and optimization of laser processing beam model, and provides a high-precision model basis for intelligent manufacturing.
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