Cloud-based shape optimisation in manufacturing
The objective of this experiment was to demonstrate that by combining High-Performance Computing (HPC) and optimisation software, there is an opportunity to change current design practices and bring automatic shape optimisation (ASO) to a wider audience of manufacturing SMEs.
Start date: 01/07/2013
Duration in months: 18
Problem Description
The goal was to develop and implement an HPC-cloud-based platform that gave the inexperienced user the possibility to optimise automatically the shape of a particular mechanical system. The aim was to test this solution using practical test cases from the end-user Lamborghini.
Goals
New services
Challenges
The challenge facing this experiment was therefore to develop a platform which combined Cloud-based HPC resources with in-house computing capabilities, to develop an intuitive user interface providing an integrated solution for non-expert users and to create service for who is only occasional users of ASO.
Innovation results
The SOUTH platform, which provides an integrated environment, granting access to both in-house and Cloud-based HPC, has been developed for automatic shape optimization. An easy-to-use graphical user interface has been designed with an optimal trade-off between easiness of use and flexibility.
Business impact
Lamborghini estimates yearly cost savings to range from 140k€ to 200k€. OPTIMAD expects net profit of 55k€ form the use of SOUTH for consultancy and as SaaS. Both CINECA and the University of Strathclyde expect to benefit from SOUTH in their research activities and in the sale of computer cycles.