Advanced power optimization of worm gear drive with profile shift using nature inspired algorithms

N. Godwin Raja Ebenezer (), S. Ramabalan () and S. Navaneethasanthakumar ()
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N. Godwin Raja Ebenezer: Loyola - ICAM College of Engineering and Technology
S. Ramabalan: EGS Pillay Engineering College
S. Navaneethasanthakumar: Christian College of Engineering and Technology

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 31, 429-438

Abstract: Abstract To maximize power at drive output is important in gear devices, as it directly influences power loss, which significantly affects overall efficiency. In this article, the aim is to optimize output power of worm gear drive taking into account eight design variables and sixteen critical mechanical constraints. Various design constraints, namely, linear pressure, bending strength, deflection of worm along with other important constraints are incorporated. The design variables, namely, number of teeth, coefficient of friction, helix angle of the thread as well as profile shift coefficient is considered. Nature inspired algorithms, namely, Firefly Algorithm (FA), Cuckoo Search (CS) and fmincon solver are used in the MATLAB environment. Simulation results are analysed and validated with literature. Results show that CS technique gives the best design parameters for the problem. Results also reveal that the addition of profile shift constraint causes a decrease in power loss by FA (8.23%) and CS (8.90%) than SA of literature. So it is desirable to include the same in worm gear design.

Keywords: Worm gear drive; Design optimization; Critical mechanical constraints; Profile shift coefficient; FA and CS (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01292-8

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