Abstract

AbstractMulti‐domain physics‐based modeling is a versatile technique in the discipline of numerical modeling to solve engineering problems and it is an essential tool for predicting and simulating the multi‐domain physics behavior of interacting complex engineering systems [1]. But most of the modern‐day engineering systems are quite complex and developing physics‐based models of these systems needs critical domain expertise from various fields of physics and engineering. The complex nature of these systems makes it challenging and time‐consuming to develop high‐fidelity physics‐based models. Hence the data‐driven or hybrid approaches are still being extensively used in many industries despite their limited usability and scalability, unlike the physics‐based models. Though the COTS tools like SIMSCAPE, DYMOLA, etc. are providing readily available foundational blocks for physics‐based modeling they are not always sufficient to represent the custom component designs that made up these complex systems. Hence this paper recommends the development of physics‐based component models that can be re‐used. These component models when developed like modular blocks can improve the re‐usability during system model development. This can reduce the dependency on the critical domain expertise of the engineers. While emphasizing the importance of physics‐based modeling techniques this paper presents how this approach can enable the fault injection into system models and help identification of reasons for faults like pressure oscillations on an Electro‐Hydraulic Actuation System.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call