Optimisation in CAE (Computer-Aided Engineering) develops optimal design parameters that will satisfy a set of performance criteria or objectives. In engineering design, optimisation is used to find the best design that meets the desired performance criteria while minimising costs, maximising efficiency, or satisfying other constraints.
Our Optimisation methods involve identifying the parameters that influence the performance of a product or system and using mathematical algorithms to determine the optimal combination of these parameters.
Benefits of Optimisation in CAE
Optimiation can provide better product design and improved performance, reducing the total cost of ownership for the product. Optimisation techniques reduce the amount of time and resources needed to design and develop a product, and to choose the most efficient designs.
Optimisation techniques can be used to improve the quality of a product by identifying potential weaknesses and finding the best way to remove them from the system. This can help to ensure that the product meets customer expectations and can be used reliably and safely.
Optimization techniques can be used to identify potential risks associated with a product design, such as failure of components or insufficient strength of materials. This can help to reduce the risk of costly product recalls due to design flaws.
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