Products

Stochastic Topology Optimization

Safer lightweighting with stochastics

Stochastic modelling represents real-life variability in loads and material properties. Considering this variability during topology optimization is critically important and enables you to automatically create robust designs that behave safely, even in off-design conditions. Because they are optimized for thousands of real-life loading scenarios at the same time, you can have confidence in your lightweight product designs.

Read more in our whitepaper.

Manufacturability Analysis

Put manufacturability at the center of design

Making design changes to a product becomes exponentially more expensive the later on in the development process they occur. Often the first time the manufacturability of a component is considered is when it needs to be made, at which point even minor changes can cascade and result in costly and time-consuming redesigns. By using Rafinex’s Manufacturability Analysis software, you can quickly and easily get manufacturability feedback early on in the concept stage, avoiding painful change requests.

Read more in our whitepaper.

Composite Fiber Direction Optimizer

Increase performance with variable fiber directions

Optimize your composite part designs to have locally optimized fiber directions in order to create products with superior performance, while also saving manufacturing time and material costs. Composite manufacturing techniques such as Fiber Patch Placement or Tailored Fiber Placement can locally vary the fiber directions, fully leveraging the potential of fiberbased composites for engineering design.

Read more in our whitepaper.

Stochastic Risk Analyzer

Design confidently to the limit

A stochastic risk analysis gives you insights into your design’s performance in real-world conditions at the concept stage, even before manufacturing prototypes or testing. Consider fluctuations of load conditions and material properties and understand the sum effect of these uncertainties on your design’s performance. Detect critical areas and quantify your design’s in-service robustness against static and dynamic failures, even in off-design scenarios.

Read more in our whitepaper.