Design Optimization of a Spur Gear Train Using TLBO and ETLBO Algorithms

Abstract

Two cases of optimal design of a spur gear train are considered using the TLBO and ETLBO algorithms. The objective considered in both the cases is minimization of weight. The constraints considered in the first case are bending strength of gear, surface durability, torsional strength of the shafts for pinion and gear, and center distance between the pinion and the gear shafts. The second case is the modified form of the first case and it included three more constraints of interference, surface fatigue strength, and width to module ratio. The design variables considered are face width, diameters of pinion and gear shafts, and the number of teeth on pinion and gear module. In addition to these five design variables, the second case considered hardness also as an additional variable. The results of the TLBO and ETLBO algorithms are compared with the GA, SA, and PSO algorithms. The computational results show that the TLBO and ETLBO algorithms have obtained more accurate solutions than those obtained by using the other optimization methods.