As product development becomes more complex, organizations are embracing multidisciplinary collaboration and advanced technologies like cloud computing and AI to optimize designs and resources. Electromagnetic (EM) simulations are key in engineering, enabling precise analysis of devices such as solenoid actuators. This case study examines how cloud-native platforms like SimScale and Noesis Solutions enhance EM simulations by predicting interactions between electromagnetic fields and materials. By optimizing geometric parameters—such as coil size, core shape, and air gaps—these tools reduce the need for physical prototypes, accelerating development and improving performance while minimizing material use.
This case study demonstrates a cloud-based workflow for optimizing a DC linear pushing solenoid actuator using Noesis Solutions' id8 and SimScale. The workflow maximizes force output, improves energy efficiency, and reduces copper usage, balancing performance with material savings. By leveraging cloud-native platforms, engineers overcome traditional computational limits, refining designs efficiently and cost-effectively. Although applied to electromagnetic analysis, this workflow is adaptable to other physics simulations.
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