Simulating a Preferred Environment
While the transition to electric powertrains accelerates, optimizing more traditional internal combustion engine-powered vehicle powertrains is critical to the ongoing improvements in fuel efficiency and required environmental performance. Perfecting powertrain design through simulation offers the only way to deliver performance, fuel efficiency and environmental goals in one package.
Ansys IC specific workflows with integrated multiphyscs and ready-to-use fuel models deliver fast, accurate simulations to determine combustion efficiency, spray performance, fuel composition and emissions trade-offs and operating conditions.
Simulations including complex spray models with primary and secondary breakup, evaporation and wall films —combined with fluid structure interaction and motion—enable the prediction of fuel spray targeting, pump efficiency and pump noise.
Learn how simulation and Ansys play a critical role in accelerating the electric mobility revolution.
Comprising dynamic analysis, gearbox motion, gear tooth stress, NVH and lubrication analysis, simulation enables the prediction of fatigue life, natural frequency and vibration modes, viscous and thermal losses and identifies regions of poor lubrication.
Ansys simulations enable the determination of reliability and durability of designs that achieve the required noise and emissions regulations, including conjugate heat transfer, structural analysis and chemistry models.
CFD software known for its advanced physics modeling and renowned for industry leading accuracy.
This nimble 3D modeling tool quickly preps geometric models without clunky tools.
Solve broad structural analysis needs with a suite of finite element analysis (FEA) solutions that provides in-depth analysis of structural and coupled-field behaviors.
This upfront design tool calculates stresses and strains, then cumulates damage from repetitive loading to determine a product’s predicted life using finite element analysis.
Tenneco engineers have successfully used CFD to optimize the design of SCR systems, helping the company to continually improve its products and competitive position.
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