Virtual design and analysis with multi-dimension coupling for engineering machinery cooling system

A good cooling circle should ensure that the system can work at an appropriate temperature in the requirements of power increase, engine compartment constraint and working demands for modern engineering machinery, which asks for a thorough understanding of system thermal loads before practical production. However, traditional experiment method spends a long time, costs a huge resource but lacks efficiency, whereas virtual design can avoid the shortcomings of traditional method and can analyze operating states adequately with variable loads on engine, generator, drives, battery pack and HVAC systems. Therefore, this paper focuses on a new virtual design method based on multi-dimension coupled simulation adopting Flowmaster software for initial prediction and CFX tool for further optimization. The simulation results in different operating conditions are compared and validated with experiments. Orthogonal experiment and range analysis are used to explore key parameters of cooling system. The research will be helpful in guiding future design and optimization of engineering machinery.