This study presents a overview of suction mufflers and bearings optimization in a hermetic reciprocating compressors. There are many optimization methods available in literature, however, only the genetic algorithm methodology was used in this study. Optimization is performed using a certain range for the geometric variable values important for each component and by using computational simulation codes it is possible to obtain the geometric configuration for the best product performance. The lengths and diameters of the suction mufflers were the modified parameters and the optimization goal was to increase energy efficiency. The parameters in the bearing were the diameter, length and bearing clearance and the goal was to reduce the bearing power losses keeping the oil film thickness value (reliability parameter).
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