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

New process to analyze vibrational fatigue of solder joints on printed circuit boards used in electric vehicles

High degree of automation allows assessment of massive number of solder joints and electronic components

This technical article presents a simulation process to analyze fatigue in electronic parts, particularly in solder joints, on printed circuit boards (PCBs).

femfat electronics 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

Optimization of water spray parameters by 3D CFD particle simulation for an automotive anti-aquaplaning system

In this paper, we discuss the digital modelling and simulation of the EASYRAIN Aquaplaning Intelligent Solution (AIS) using mesh-free moving particle simulation (MPS).

automotive particleworks

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

CASE STUDY

Numerical simulation of protection systems on agricultural tractors to ensure standards compliancy

Virtual testing of roll-over protection and of falling-object protection in the early design phase ensures safety performance

This technical case study describes how the ROPS and FOPS of a tractor were numerically studied in the early design phase to ensure compliance with OECD Standard Code 4 (for the cabin’s resistance to longitudinal, lateral and vertical energy or force) and Code 10 (for overhead protection from falling objects).

automotive rail-transport ls-dyna