A novel optimization methodology for designing external gear machines
Abstract
The aim of this research is to propose a novel design methodology for identifying the optimal design of external spur gear machines. Due to the existence of complex inter-dependencies between design parameters and the performance of the machine, presently their designs are extensively based on empirical procedures, with limited recourse to simulations. In this research the problem of optimizing the volumetric performance, minimizing internal cavitation, pressure peaks and noise emissions has been addressed by means of a multi-objective optimization algorithm that optimizes the most important components of the external gear machines. The performance of the particular design configuration of the machine was accurately predicted using the simulation tool HYGESim (HYdraulic GEar machines Simulator), providentially modified within the research. The optimization problem has been described in terms of design variables, design constraints, objective functions and optimization strategies that permit the determination of feasible designs that optimizes the performance of the unit. The design methodology was successfully applied for two different design solutions, specifically for high pressure and low pressure applications. The optimal designs for both these applications were identified and their improvements in performance were compared with existing commercial design. Qualitative trends representing the different mutual inter-relationships between the design variables that influence the performance of the machine were also characterized.
Degree
M.S.M.E.
Advisors
Vacca, Purdue University.
Subject Area
Mechanical engineering
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