Experiment_design_analysis

Experiment Design & Analysis

When variation is anticipated or to be identified during testing, good experimental design is fundamental. A range of methodologies are available to help you assess the relationship between different parameters influencing a product or process and their effect on performance. By the careful selection of variables and the experiments that are consequently performed, your designs can be investigated and optimised effectively.

For both physical (prototype / shop trial) and virtual (FEA / CFD) testing, Wilde offers dedicated software to assist the selection of variables and analysis of results. ReliaSoft’s DOE++ software can be applied to a wide range of physical and virtual testing techniques, while there is a dedicated DesignXplorer module for ANSYS simulation products. For both solutions, we can provide comprehensive Design of Experiment training and consulting services.

Case Studies

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Webinar: Design for Reliability - An Introduction
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Reducing Product Development Risk with Reliability Engine...
Trade-offs between reliability & cost
Reliability Engineering in Product Design
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Reducing Product Development Risk with Reliability Engine...

Experiment Design & Analysis Software

ReliaSoft DOE++

ReliaSoft’s DOE++ software tool facilitates traditional Design of Experiments (DOE) techniques for studying the factors that may affect a product or process in order to identify significant factors and optimise designs. The software also expands upon standard methods to provide the proper analysi...