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

Filming the Bloodhound Super Sonic Car Land Speed Record

Using CAE to optimise the design of a prototype for a super sonic filming drone

This detailed technical case study describes how the students arrived at a supersonic aircraft drone prototype using MATLAB and modeFRONTIER in order to reduce the time and costs of numerical and wind-tunnel testing.

automotive modefrontier optimization

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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.

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CASE STUDY

High Pressure Die Casting Optimization of a Connecting Rod

A multi-objective engineering simulation study of the connecting rods manufacturing process

Connecting rods connect the pistons to the crank shaft in automotive engines and are vital components of the engine. Connecting rods are traditionally produced in ferrous metals by forging or die casting.

metal-process-simulation automotive magma

CASE STUDY

LS-DYNA and modeFRONTIER for Material Model Calibration at Automobili Lamborghini

The main challenge is to reproduce their structural behavior by developing suitable numerical models

While the engineers relied on modeFRONTIER's capabilities, the procedure has been to calibrate the constitutive parameters of LS-DYNA's advanced material models, and to use them for prediction, design optimization and robustness analysis.

modefrontier ls-dyna automotive composites

CASE STUDY

Enhanced low cycle fatigue analysis and the influence of load sequence for an e-motor’s rotor

The article discusses advancements in low cycle fatigue analysis for an electric motor's rotor, focusing on a new method implemented in the FEMFAT software. Traditional methods have limitations in accurately predicting material plasticization due to a lack of consideration for the sequence of load peaks, which can affect component lifespan.

automotive femfat