Coupled systems mechanics

  • 제11권3호
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  • Pages.259-266
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  • 2022
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  • 2234-2184(pISSN)
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  • 2234-2192(eISSN)
테크노프레스 (Techno-Press)
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Design optimization of a hollow shaft through MATLAB and simulation using ANSYS

  • Mercy, J. Rejula (Department of Mathematics, Karunya Institute of Technology and Sciences) ;
  • Stephen, S. Elizabeth Amudhini (Department of Mathematics, Karunya Institute of Technology and Sciences) ;
  • Edna, K. Rebecca Jebaseeli (Department of Mathematics, Karunya Institute of Technology and Sciences)
  • 투고 : 2021.07.13
  • 심사 : 2022.03.11
  • 발행 : 2022.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Non-Traditional Optimization methods are successfully used in solving many engineering problems. Shaft is one of important element of machines and it is used to transmit power from a machine which produces power to a machine which absorbs power. In this paper, ten non-traditional optimization methods that are ALO, GWO, DA, FPA, FA, WOA, CSO, PSO, BA and GSA are used to find minimum weight of hollow shaft to get global optimal solution. The problem has two design variables and two inequality constraints. The comparative results show that the Particle Swarm Optimization outperforms other methods and the results are validated using ANSYS.

키워드

참고문헌

  1. Bansal, R.K. (2018), A Textbook of Strength of Materials: Mechanics of Solids, Laxmi Publications, India.
  2. Chavan, N.P., Shinde, R.M. and Sawant, S.M. (2017), "Design and optimization of Glass/Epoxy driveshaft for passenger vehicle", Int. J. Scientif. Eng. Res., 8(4), 363-368.
  3. David, D.C.N. and Stephen, C.E.A. (2018), "Cost minimization of welded beam design problem using nontraditional optimization through MATLAB and validation through ANSYS simulation", Int. J. Mech. Eng. Technol., 9(8), 180-192.
  4. Kennedy, J. and Eberhart, R. (1995), "Particle swarm optimization", Proceedings of ICNN'95 - International Conference on Neural Networks, 4, 1942-1948.
  5. Khurmi, R.S. and Gupta, J.K. (2005), A Textbook of Machine Design, Eurasia Publishing House (Pvt.) Ltd., New Delhi, India.
  6. Marde, K., Kulkarni, A.J. and Singh, P.K. (2019), "Optimum design of four mechanical elements using cohort intelligence algorithm", Socio-Cultural Inspired Metaheuristics, Springer, Singapore.
  7. Rejula Mercy, J. and Elizabeth Amudhini Stephen, S. (2018), "A critical study on ten non - traditional optimization methods in solving engineering problems", Int. J. Mech. Eng. Technol., 9(11), 233-249.
  8. Stephen, S., Christu, D. and Dalvi, A.E. (2018), "Design optimization of weight of speed reducer problem through MATLAB and simulation using ANSYS", Int. J. Mech. Eng. Technol., 9(8), 339-349. https://doi.org/10.1504/IJMOR.2019.10022357.
  9. Thamaraikannan, B. and Thirunavukkarasu, V. (2014), "Design optimization of mechanical components using an enhanced teaching-learning based optimization algorithm with differential operator", Math. Prob. Eng., 2014, Article ID 309327. https://doi.org/10.1155/2014/309327.
  10. Yildiz, A.R., Abderazek, H. and Mirjalili, S. (2019), "A comparative study of recent non-traditional methods for mechanical design optimization", Arch. Comput. Meth. Eng., 27, 1031-1048. https://doi.org/10.1007/s11831-019-09343-x.