Endurica

Endurica

Get Durability Right

Endurica

Endurica is a product of Endurica LLC.

Endurica provides solutions that put you in control of durability issues of elastomers components early in the development cycle. Endurica was founded to accelerate reliable design for elastomer materials and components.

The Endurica fatigue life prediction code is a patented system for analyzing the effects of multiaxial, variable amplitude duty cycles on elastomers. Endurica is the world’s first code for elastomer fatigue life simulation.

The objective is to make CAE-based fatigue life prediction for rubber as widely practiced and as well-understood as fatigue life prediction for metallic materials by empowering developers with reliable methods and tools.
The Endurica solutions help our clients understand and manage the effects on fatigue life of nonlinear material behavior, component geometry, and complex duty cycles. Endurica has served leading companies in the automotive, medical device, offshore, and consumer products industries.

Main benefits

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  Calculate fatigue life and failure location on your part

  Diagnose and resolve material, geometry, and loading issues to get durability right

  Mobilize quickly with ready-to-use workflows that give you the edge

  Scope analyses to fit your aim and budget with support for both “draft quality” and “high accuracy” simulations

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Insights

CASE STUDY

Drag Optimization of the E-1 Electric Racecar

A FIA E-1 class racecar was being developed by Brigham Young University to set a world speed record for Electric Vehicles

The car is designed to race on the ultra-flat Salt Flats in Bonneville, Utah. The racecar weighs less than 500kg so increasing the downforce was critical. Reducing aerodynamic drag was also critical due to the power requirements of the racecar.

cfd automotive

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CASE STUDY

Optimization of an automotive manufacturing system design taking into account regional requirements

Applying CAE to facilitate business CapEx decision making in the automotive manufacturing sector

In this case study, EnginSoft engineers explain how they used modeFRONTIER to assist Comau, a Fiat Chrysler subsidiary, to optimize their approach to the preliminary design of production systems for automotive manufacturing system RFQs.

automotive optimization rail-transport modefrontier SIMUL8 iphysics industry4

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CASE STUDY

Gravity Die Casting of Motorcycle Components

A permanent mold casting study of the mold design and mold-casting process of an aluminum alloy single-sided-swing-arm

The advent of the Naked Motorcycle has changed the way we look at motorcycle parts: they now also need to be aesthetically pleasing because they are mostly visible to the naked eye.

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CASE STUDY

Fuel tank sloshing: digital modelling with meshless CFD

Motorsport’s competitive demands drive innovation, such as optimizing fuel tank performance by reducing sloshing and ensuring efficient fuel extraction. This study explores a meshless CFD approach using Moving Particle Simulation (MPS) to streamline workflows and reduce computational costs compared to traditional finite volume method (FVM) CFD.

automotive cfd particleworks

CASE STUDY

Oil flow simulation in a reciprocating engine at Honda R&D

Particleworks, an innovative particle method simulation tool, playing an important role in previously-unattainable simulation problems

In this technical article, EnginSoft and Prometech explain how they executed a highly complex computational simulation on the fluid-structure interaction of the oil flow inside a reciprocating engine, on behalf of Honda R&D.

automotive cfd particleworks