A hybrid numerical/machine learning model development to improve the bimetal performance in the electric circuit breakers.Bimetals are widely used as a thermal tripping mechanism inside the miniature circuit breakers (MCBs) products when an overload current passes through the circuit for a certain period.  However, developing the bimetal for MCB products somewhat differs from developing other conductor items since they are strongly related to the electrical, mechanical, and thermal performance of the MCB.  The numerical model has been built on the time-based finite difference method to frame the theoretical thermal model of the bimetal. 
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