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SIMULIA Isight for Rubber Components

In today’s complex product development and manufacturing environment, designers and engineers are using a wide range of software tools to design and simulate their products. Often, chained simulation process flows are required in which the parameters and results from one software package are needed as inputs to another package and the manual process of entering the required data can reduce efficiency, slow product development, introduce errors in modelling and simulation assumptions. SIMULIA provides market-leading solutions that improve the process of leveraging the power of various software packages. Isight and the SIMULIA Execution Engine (formerly Fiper) are used to combine multiple cross-disciplinary models and applications together in a simulation process flow, automate their execution across distributed compute resources, explore the resulting design space and identify the optimal design parameters subject to required constraints.

Isight is a Process Integration and Design Optimization ( PIDO ) software framework which enables various applications to be easily integrated. With Isight, flexible simulation process flows can be created to automate the exploration of design alternatives and identification of optimal performance parameters.

Isight and its numerous applications:

  • One of Isight’s more popular uses is for material calibration. Isight, with its ability to perform simulations, data comparison, and seamlessly encapsulate the workflow to perform optimization, is indeed well suited to perform material calibration.
  • Using Isight and ABAQUS software, finite element method and process for optimizing rubber bushing material and structural parameters, in order to meet specific stiffness characteristics can be performed.

ISight enables engineering teams to:

  • Drastically reduce design cycle time through integrating workflow processes in an automated environment.
  • Deliver more reliable, better-quality products through accelerated evaluation of design alternatives.
  • Lower hardware investments through effective use of legacy systems and more efficient job distribution.
  • Eliminate the bottlenecks of ineffective communication by enabling secure design collaboration among partners.

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