Machine learning method predicting thermal performance of conformal cooling systems.

ABSTRACT: The incorporation of conformal cooling systems has significantly enhanced the efficiency and quality of injection molding process. While several automated methods have been developed for creating conformal cooling channels in injection molds, the current optimization process for conformal cooling design parameters is hindered by labor-intensive iterative thermal simulation processes and the substantial reliance on empirical human knowledge. This paper presents an innovative machine learning method to assess the thermal performance of conformal cooling systems by employing a combination of a non-linear regression model and a neural network. By employing a logarithmic regression model describing the temperature graph and a neural network predicting the coefficients of the logarithmic regress

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC11343755 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature