This paper describes a model-driven approach to support heat monitoring and predictive maintenance of an automotive braking system. This approach includes the creation of a simulation-based digital twin, or numerical model, that combines different modeling formalisms into an integrated model of the braking system that can be used for monitoring, diagnostics, and prognostics. The paper provides an overview of the basic models including Modelica models, reduced order models for various key components of the system model, and controls and sensor models. The Modelica models are implemented in the ANSYS Simplorer simulation to leverage existing modeling work and connections with other ANSYS finite element software to utilize reduced order models. The simulation results include both baseline results for the system and the results of injecting failures into the system for monitoring and predictive maintenance.

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This paper presents a schematic-based and systemoriented modeling and simulation framework to enable top-down designs of multi-functional biofluidic lab-on-achip systems. An analog hardware description language (Verilog-A) is used to integrate parameterized and closed-form models of elements with different functionalities (e.g., mixing, reaction, injection and separation). Both DC and transient analysis are performed on a practical competitive immunoassay chip to capture the influence of topology, element sizes, material properties and operational parameters on the chip performance. Accuracy (relative error generally less than 5%) and speedup (>loox) of the schematic-based simulation is obtained by comparison to continuum numerical simulation as well as experimental measurements. A redesign of the original LoC device using our framework, to' improve bio-analysis efficiency and minimize chip-area has been demonsthed.

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This paper describes a gas compressor (GCS) system simulation for the purpose of verifying a controller's operation and interfacing simulation with measured data. The GCS is used to collect and compress low pressure gas streams for transmission into larger higherpressure lines. This system is simulated with ANSYS TwinBuilder. It includes models of the compressor, motor, bypass valve, and piping along with pressure sources for the low and high-pressure lines, which are controlled with measured or test data. To cycle and pressurize the GCS, a controller is implemented using an FMU from ANSYS SCADE. To interact with the system and monitor current operating conditions, a human machine interface (HMI) is also implemented using ANSYS SCADE as an FMU.