Abstract

In this technical case study, EnginSoft assists Casappa to further refine the core feature of an already optimized gear pump in order to achieve best performance in terms of efficiency and reduction of noise emission while maintaining its same level of performance. The approach adopted was to review the core feature of the pump -- the design of its gears and the interfacing lateral plates -- in order to reduce the overall noise generated by the internal oscillating forces inside the pump and by the pressure fluctuations. Since the expected performances are always higher in respect to previous versions, while complying production needs, this kind of problem becomes highly constrained.

This article details the steps and procedures followed to apply, two different ModeFRONTIER genetic algorithms: Multi-Objective Genetic Algorithm (MOGAII) versus Multi-Objective Game Theory (MOGT) to find and then test the best virtual redesign and best algorithm, in order to create a prototype for physical testing in the laboratory.