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

Strategy to optimize the independent suspension system of an off-highway, agricultural tractor

The purpose of the case study was to implement a design methodology that used multi-disciplinary simulation and an automated process to analyse thousands of product configurations and highlight vehicle performance distributions in terms of handling, comfort, and cost. This approach ensures that the best solution is always selected.

mechanics modefrontier automotive 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.

automotive optimization rail-transport modefrontier SIMUL8 iphysics industry4

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CASE STUDY

Creating new services based on reconstruction of accident kinematics with FEM prototypes and a design thinking approach

This article combines the use of the finite element method with a Design Thinking approach to reconstruct a road traffic accident for an traffic accident insurance report in order to analyse the outcome of the accident, compare the respective property damage, and the physical injuries to pedestrians or passengers in order to limit the quantity of large claims compensation for the insurance company, while ensuring the fairness of the compensation for the customer to foster greater trust and credibility in the insurance provider.

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CASE STUDY

Optimization of the SLM/DMLS process to manufacture an aerodynamic Formula 1 part

This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.

automotive additive-manufacturing optimization

CASE STUDY

A perspective on simulation in the automotive industry

Face to face with Paul Stewart, design process leader and consultant

Futurities interviewed Paul Stewart about his thoughts on the evolution of simulation’s role in the design process in the automotive industry, the evolving roles of CAD and CAE and the move to freeform deformation in automotive design, as well as the likely impact and role of artificial intelligence technologies in this space.

automotive