Machine Learning Aided Conformal Cooling Design (MLACCD) Software

A machine learning enabled design tool to generate the cooling channels for minimized product temperature variance


Software download and execution :

Download the MLACCD.zip package using the following link. Please contact zhenyang.gao@mail.mcgill.ca to get the passcode.

Running Model_C_GUI.exe to create your MLACCD channels.



Software description

The MLACCD software features and a brief guide for the user can be downloaded by the following link.

Validation Case Studies

Some of the case studies are chosen to validate the result of the software, where all related work can be found in the these publications:
[1] Z. Gao, G. Dong, Y. Tang, Y. Zhao. Machine learning aided design of conformal cooling channels for injection molding. ASME. Journal of Mechanical Design. (In Press)
[2] Z. Gao, Y. Zhao. Machine learning aided design and optimization of conformal porous structure. IDETC-CIE 2020.
[3] Z. Gao, Y. Zhao. Machine learning aided optimization of conformal cooling channels for injection molding. HI-AM Conference 2019.

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