Non-Circular Gears generate a prescribed motion with great precision, regardless of external factors. This is a highly desirable feature in advanced transmissions. Designing these gears is a complex process that requires a significant amount of expertise and expensive, computationally intensive iterations. In-house computing systems are not powerful enough to perform these calculations.
The goal of this experiment was to reduce the scrap rate of the foundry process. A service was needed which could predict the behaviour of the current batch of metal to reduce the amount of waste. If it were possible to adjust the process in real time, the foundry could lower energy consumption and production costs. Using historical data from previous production runs was seen as the key to this problem, but this entails data analytics requiring computing resources far in excess of those available to foundries or consultants like ProService.
Noesis Solutions is a simulation innovation partner to manufacturers in automotive, aerospace and other engineering-intense industries. Specialized in simulation process integration and numerical design optimization (PIDO), its flagship software Optimus helps customers adopt an ‘Engineer by Objective' development strategy.
The challenge addressed by this case study was to adapt a wiring optimisation application from KEW to run on a Cloud-based HPC system, so that wiring layouts could be optimised in a feasible length of time and at an acceptable cost. Such a solution would involve computationally intensive simulations that could be run on a pay-per use basis, which would be much cheaper than owning and maintaining a large system and would offer sufficient resources to satisfy peak demands.