A Dimensional Analysis-Based Method for Predicting the Melt Pool Shape of Metal Additive Manufacturing

A metal additive and additive manufacturing technology, applied in the field of additive manufacturing, can solve the problem that the accuracy of machine learning algorithms depends on the quality of training data sets, etc., and achieve the effect of good physical foundation and universal applicability

Active Publication Date: 2022-04-19
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI +1
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Problems solved by technology

They will automatically learn the relationship between input features and output targets based on previous data. Machine learning algorithms are migrating to traditional manufacturing fields including additive manufacturing. However, the accuracy of machine learning algorithms depends heavily on the quality of training data sets. lots of experiments

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  • A Dimensional Analysis-Based Method for Predicting the Melt Pool Shape of Metal Additive Manufacturing
  • A Dimensional Analysis-Based Method for Predicting the Melt Pool Shape of Metal Additive Manufacturing
  • A Dimensional Analysis-Based Method for Predicting the Melt Pool Shape of Metal Additive Manufacturing

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[0049] In order to make the technical solution and advantages of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments of the present invention, so that those skilled in the art do not need to pay any more creative work The invention can be realized. It should be noted that the simplified form of the drawings is only used for the purpose of conveniently and clearly illustrating the embodiment of the invention. The structure shown in the drawings is not the whole of the actual structure but only a part of the actual structure. Obviously, the enumerated embodiments are part of the embodiments of the present invention, but not all of them. It should be understood that, based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts are within the protecti...

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Abstract

The invention discloses a method for predicting the shape of a metal additive manufacturing molten pool based on dimensional analysis, and establishes a quantitative physical model between the process parameters of the additive manufacturing and the shape of the molten pool. First, determine the parameter space of the additive manufacturing process, and conduct dimensional analysis on the manufacturing process parameter space, establish the functional relationship between the dimensionless parameters, and use the machine learning method to train the functional relationship between the dimensionless parameters, and finally get Functional model of quantitative relationship between additive manufacturing process parameters and melt pool shape. The invention can reduce the dependence on experimental samples and enhance the generalization ability of the model.

Description

technical field [0001] The invention relates to the technical field of additive manufacturing, in particular to a method for predicting the shape of molten pools in metal additive manufacturing based on dimensional analysis. Background technique [0002] The metal additive manufacturing process is a multiphysics and multiscale process, including material-laser interaction at the microscale, melt pool dynamics at the mesoscale, and thermomechanical coupling at the macroscale. Researchers hope that through the research and optimization of forming parameters, the control of molten pool and deposition process can be realized, and then the mechanical properties of formed parts can be improved. In order to describe this relationship in a clearer and more accurate way, researchers have tried to establish various physical models to find the link between the additive manufacturing process parameters and the melt pool shape parameters. People often use analytical methods and numerica...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06F30/27G06N3/04G06N3/08G06F111/10G06F113/10
CPCG06F30/23G06F30/27G06N3/084G06F2113/10G06F2111/10G06N3/044
Inventor 李道远范树迁杨亮刘基权
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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