Automotive

inGenuyX offers simulation services for automotive engineering problems. Our capabilities include, but are not limited to, the analysis of sound pressure levels inside a vehicle, the electromagnetic interference levels observed, and more.

We use multidisciplinary simulation software that can model phenomena involving heat transfer, structural mechanics, electromagnetics, thermal engineering, and acoustics, among others.

The benefits of influencing design earlier, reducing the number of design cycles and eliminating much physical testing are well understood. Target project timescales from concept to prototype definition are very aggressive within the industry.

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Types of Physics

Electromagnetics

We can analyze electromagnetic signals inside and outside of vehicles, the former of which is often used for radar sensors for distance measurements and other metrics. The inside of the vehicle can be analyzed for electromagnetic interference.

Heat Transfer

Automotive systems also benefit from thermal simulations that model engine cooling and lubrication systems, exhaust systems, tail pipe gas temperatures, as well interactions between the engine and the exhaust system.

Acoustics

Acoustics are a key component in automotive design to comply with noise requirements and sound quality in the cabin.

Structure and Material

Structural simulations for the automotive industry include crash simulations and other mechanical analyses.

Multiphysics

The automotive industry is the perfect example for the need of a modeling environment capable of providing multiphysics analysis as the many effects described above interact and influence one another. An overarching automotive model for your vehicle prototype is the perfect starting point for a well-informed optimization design strategy.

 

Our Experience

Simone has longstanding experience in the field of biomedical engineering modeling as part of her postdoctoral and staff scientist research position at Stanford University. She has been working in the field of MRI engineering since 2012 and has previously worked at McGill University on an early breast cancer detection system using microwave imaging. Prior to her postdoctoral work, she focused on RF and wireless engineering in the field of passive mm-wave imaging and mixer design for mm-wave designs. Her undergraduate and graduate work was in mechatronics, which combines the fields of mechanical engineering, electrical engineering, and computer science. This multidisciplinary training makes Simone the ideal candidate to perform the modeling tasks for your multiphysics problems.