Abstract

Using a Multiphysics approach to create system-level models within the medical device industry could potentially decrease New Product Development (NPD) cycle times. Using system-level models would also be helpful in assisting the product teams to make optimized design choices. Optimal design decisions can be made using robust design of experiments investigations, built from knowledge of products and experimental data. In this discussion, a 0D/1D system-level model is developed using electrical, mechanical, and flow domain components to develop a system-level understanding of design performance. A model-based system engineering tool is used in this process. Component representations were built using experimental test data, and validation occurred within the tool to verify the accuracy of the representations. The system under study is divided in to electrical, fan-motor, restriction and flow split sub-systems. The electrical sub-system consists of battery and electronic board, the fan-motor system consists of a motor (linked with electrical sub-system) and a fan. The restriction subsystem represents the system restriction and the flow split sub-system represents a flow division that happens close the exhaust. All these sub-systems are modeled in 1D and are combined to form a system that can be studied at different operating conditions and configurations. Using a 1D Navier-Stokes solver, the flow system is analyzed in enough detail to make informed system-level design choices. The fan, motor, and restriction subsystems are swapped out using a design of experiments approach. The results are then analyzed to understand which components will improve system efficiency, decrease noise, and improve overall performance. This presentation will discuss the model building approach and analyze the results of the design of experiments study.