![]() Results of simulation with and without profile shift, performance of various algorithms are analysed and validated with literature. Nature-inspired algorithms, namely, Simulated Algorithm (SA), Fire Fly Algorithm (FA), Cuckoo Search (CS), Particle Swarm Optimisation (PSO) and Teaching Learning-Based Optimisation (TLBO) algorithms are employed. The design variables, namely, the module, the face width, the number of teeth, and profile shift coefficients of both gears are considered. The objective of the problem is to minimise volume taking into account tooth root bending strength, contact pressure, face width, and addendum modification coefficients as constraints. ![]() In this paper, an optimum solution to the problem of mating helical gears design considering profile shift is given. ![]() ![]() Profile shift of the gear significantly affects its form, zone, stress factors, transversal and face load factors. ![]()
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