SIMULIA Isight – the leading Software for Process Integration and Design Optimization

Parametric Optimization using SIMULIA Isight

In today’s complex product and manufacturing development, 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 input to another package. The manual process of entering the required data can reduce efficiency, slow product development, and cause errors in modeling and simulation.

SIMULIA Isight – Benefits

  • reduces the design cycles by drastically accelerating the individual iteration steps;
  • increases the quality and reliability of your product;
  • reduces the production cost of your product.

Core functions

  • Automation of processes      
  • Virtual design            
  • Parametric optimization  
  • Six Sigma analysis

SIMULIA Isight provides support when the workflow of your design process

Activity components in Isight
  • contains data from different sources;
  • is based on simulations and analyses perfomed with different products;
  • is precisely defined, but involves high manual effort;
  • is influenced by many parameters.

Isight is 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.

The process flow is created by means of a graphical user-interface. On the basis of a simple “drag and drop”-principle the components depicted below can be directly integrated into the process. Owing to the so-called multi-purpose components also own scripts and software tools can be easily integrated into the process.

Case study: Optimized assembly processes

Flowchart to illustrate the Isight functionality

As providers of engineering services, Wölfel is dealing with requests for simulation jobs regularly. Many of our customers are looking into the topic of Finite Element Method (FEM) for the first time, or, due to increased demands for accuracy and speed, they are reaching their limits with the methods they do have at their disposal. The enquries of our customers often are worded in such a way that the customer wants to simulate a certain state or process. For us, it is important to first listen carefully and then ask precise questions what is the actual goal of the customer. Mostly it is not just about simulating a certain issue, but rather about achieving the highest quality possible, with the lowest cost and time expenditure possible.

Example: One of our customers‘ enquries covered the simulation of the installation process of a gasket element in a hollow shaft. Due to the high material nonlinearities of the elastomer material and to the demanding contact constraints the simulation was performed with SIMULIA/Abaqus. The actual goal of the customer, however, did not consist in the simulation of the installation process, but in the minimization of the design space, at the same time observing the allowable material strain. In coordination with the customer, the parameters, constraints and optimization goals were defined:


Parameter Constraints Goals
Angles: ?1 all. strain minimization of b1
Radii: R1, R2 secure press fit minimization of b2
Lengths: b1, b2 slot depth  


For the efficient performance of optimization processes, the automation of the simulation processes is prerequisite. With SIMULIA/Isight the CATIA and SIMULIA/Abaqus software tools could be easily integrated into the process flow, just using the „drag and drop“ option. The simulation process here presented could be developed within a few hours. With the process here visualized and the optimization methods implemented in SIMULIA/Isight it was possible to analyze 320 variants in only 60 hours.

By using SIMULIA/Isight the development time was reduced by 89 % and the cost of test runs by 81%. Never before has such a compact design space been achieved and so few prototype testing required.