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

Application of Particleworks to the design and performance evaluation of waterproofing for automotive air conditioning systems

This article introduces a case study on the waterproofing of an automotive air conditioning system for rainy conditions using Particleworks, a particle method CFD software.

particleworks 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

Getting bounced: Investigating the loads and durability of a Pogo Stick

A light-hearted coronavirus lockdown project with a useful outcome

This light-hearted technical article discusses a project undertaken between WolfStar Technologies’ Tim Hunter and Endurica’s Will Mars during the Coronavirus lockdown – to create a digital twin of a Pogo Stick in order to calculate its fatigue damage in the hands of a novice user.

sports endurica

CASE STUDY

Using CAE simulation to verify the structural safety and performance of a two-wheeler’s driving mechanism

Coupled simulation methods enables more accurate evaluation

In this article, we describe how Piaggio used computer-assisted engineering simulation to evaluate the structural safety, performance and dynamic behavior of the driving mechanism of a two-wheeled vehicle under both normal and spurious operating conditions, specifically static and fast dynamic conditions.

automotive multibody

CASE STUDY

Rubber fatigue ≠ metal fatigue: mean strain effects

The article focuses on the difference in fatigue behaviour between rubber and metal materials. While metal fatigue is often described by a simple rule: increasing mean strain is detrimental to fatigue life, rubber fatigue is more complex and depends on the material's ability to strain crystallize. The text concludes that while tensile mean stresses are always detrimental in metals, in rubber they may be either beneficial or harmful depending on whether the rubber can strain crystallize.

mechanics endurica automotive