Document Type : Original Article

Authors

1 - Department of IKAC RFF & Apron Management, Imam Khomeini Airport City, Tehran

2 Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad

10.22034/jast.2018.145655

Abstract

Optimization the volume/weight of the gear train is more important for industries and researchers. In this paper using particle swarm optimization algorithm a general gear train is optimized. The main idea is to optimum the volume/weight of the gearbox in 3 directions. So, the optimization process based on PSO algorithm occurs along height, length and width of the gearbox to achieve the smallest possible gearbox. The constraints divided into three types of constraints: geometrical, design and control constraints. The optimization process presented for two and three stage gear trains and by choosing different values for the gear ratio, input power and hardness of gears the practical graphs for value of the optimum weight/volume and all the necessary design parameters of gearbox such as number of stages, position and modulus of gears, face width of gears and diameter of shafts are presented. The results are validated by comparing to the results reported in the previous publication.

Keywords

Article Title [فارسی]

A Heuristic Approach for 3D-Optimization of 3-Stage Gear Train Using PSO

Authors [فارسی]

  • Mehrdad Hoseiniasl 1
  • Javad Jafari Fesharaki 2

1 - Department of IKAC RFF & Apron Management, Imam Khomeini Airport City, Tehran

2 Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad

Abstract [فارسی]

Optimization the volume/weight of the gear train is more important for industries and researchers. In this paper using particle swarm optimization algorithm a general gear train is optimized. The main idea is to optimum the volume/weight of the gearbox in 3 directions. So, the optimization process based on PSO algorithm occurs along height, length and width of the gearbox to achieve the smallest possible gearbox. The constraints divided into three types of constraints: geometrical, design and control constraints. The optimization process presented for two and three stage gear trains and by choosing different values for the gear ratio, input power and hardness of gears the practical graphs for value of the optimum weight/volume and all the necessary design parameters of gearbox such as number of stages, position and modulus of gears, face width of gears and diameter of shafts are presented. The results are validated by comparing to the results reported in the previous publication.

Keywords [فارسی]

  • Optimization layout gears
  • Weight/volume optimization
  • Particle Swarm Optimization (PSO)
  • Gear train
[1] Patwal, R. S., Narang, N., Garg, H., A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units. Energy, 142, 2018, 822-837.
[2] Panda, S., Biswal, B. B., Jena, S. D., Mishra, D., An approach to weight optimization of a spur gea, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 231(2), 2016, 189-202.
 [3] Cheng, R., Jin, Y., A social learning particle swarm optimization algorithm for scalable optimization, Information Sciences, 291, 2015, 43-60.
[4] Zolfaghari, A., Goharimanesh, M., Akbari, A. A, Optimum design of straight bevel gears pair using evolutionary algorithms, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(6), 2017, 2121-2129.
 [5] Miler, D., Lončar, A., Žeželj, D., Domitran, Z, Influence of profile shift on the spur gear pair optimization, Mechanism and Machine Theory, 117, 2017, 189-197.
[6] Garg, H., A hybrid PSO-GA algorithm for constrained optimization problems, Applied Mathematics and Computation, 274, 2016, 292-305.
[7] Harish, G., A Hybrid GA-GSA Algorithm for Optimizing the Performance of an Industrial System by Utilizing Uncertain Data. In V. Pandian (Ed.), Handbook of Research on Artificial Intelligence Techniques and Algorithms, 620-654, Hershey, PA, USA: IGI Global, 2015.
 [8] Jafari Fesharaki, J., Golabi, S., Optimum pattern of piezoelectric actuator placement for stress concentration reduction in a plate with a hole using particle swarm optimization algorithm, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(4), 2015 614– 628.
[9] N. Marjanovic, B. I., V. Marjanovic, Z. Milojevic, M. Blagojevic, M. Bojic, A practical approach to the optimization of gear trains with spur gears, Mechanism and Machine Theory, 53, 2012, 1-16.
[10] S. Salomon, G. A., R.C. Purshouse, P.J. Fleming, Gearbox design for uncertain load requirements using active robust optimization, Engineering Optimization, 48, 2016, 652-671.
 [11] S. Golabi, J. J. Fesharaki., M. Yazdipoor, Gear train optimization based on minimum volume/weight design, Mechanism and Machine Theory, 73, 2014, 197-217.
 [12] Garg, H., Performance analysis of an industrial system using soft computing based hybridized technique, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(4), 2017, 1441-1451