Research Article

Design Optimisation of Rolling Element Bearings: A Literature Review

Volume: 6 Number: 2 June 29, 2019
EN

Design Optimisation of Rolling Element Bearings: A Literature Review

Abstract

Optimisation is the process of finding the best design parameters that meet engineering needs and provides an inexpensive and flexible tool to define optimal designs to the industry prior to physical application. Engineers use empirical studies, statistical methods and optimisation techniques to evaluate research and determine the best design. In recent years, optimisation studies in the field of engineering has become an area of intensive work. The design optimisation of the bearings is one of these studies. In the design of bearings, there are various constraints such as geometric, kinematic, power, performance, long life and high reliability. An optimal design methodology is needed to perform these constraints collectively. In the literature, there are studies in which conventional and intelligent optimisation techniques are used for the optimisation of bearings. In this article, a source research is carried out, which includes the studies for the optimisation of bearings. 

Keywords

References

  1. [1] Savsani et al., “Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems”, Computer-Aided Design, 303-315, (2011).
  2. [2] Akay B. and Karaboga D., “Artificial bee colony algorithm for large-scale problems and engineering design optimization”, Journal of Intelligent Manufacturing, Volume 23, Issue 4, 1001–1014, August (2012).
  3. [3] Rao R. V. and Patel V., “Multi-objective optimization of combined Brayton and inverse Brayton cycles using advanced optimization algorithms”, Engineering Optimization, Volume 44, 965-983, (2012).
  4. [4] Marler R.T. and Arora J.S., Survey of multi-objective optimization methods for engineering, Structural and Multidisciplinary Optimization, Volume 26, 369–395 (2004).
  5. [5] Mendi F., Başkal T., Boran K. and. Boran F. E, “Optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm”, Expert Systems with Applications, Volume 37, 8058-8064, December (2010).
  6. [6] He S., Prempain E. and Wu Q.H.., “An improved particle swarm optimizer for mechanical design optimization problems” ,Engineering Optimization, 36(5):585–605, (2004).
  7. [7] https://fidjit.sg/2017/07/17/guide-different-types-fidget-spinner-bearings/, (2019).
  8. [8] Sobel D., Longitude (London: Fourth Estate) p. 103, (1995).

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

June 29, 2019

Submission Date

April 3, 2019

Acceptance Date

May 16, 2019

Published in Issue

Year 2019 Volume: 6 Number: 2

APA
Şahin, İ., & Şahin, T. (2019). Design Optimisation of Rolling Element Bearings: A Literature Review. Gazi University Journal of Science Part A: Engineering and Innovation, 6(2), 43-50. https://izlik.org/JA69UP32TM
AMA
1.Şahin İ, Şahin T. Design Optimisation of Rolling Element Bearings: A Literature Review. GU J Sci, Part A. 2019;6(2):43-50. https://izlik.org/JA69UP32TM
Chicago
Şahin, İsmail, and Tolgahan Şahin. 2019. “Design Optimisation of Rolling Element Bearings: A Literature Review”. Gazi University Journal of Science Part A: Engineering and Innovation 6 (2): 43-50. https://izlik.org/JA69UP32TM.
EndNote
Şahin İ, Şahin T (June 1, 2019) Design Optimisation of Rolling Element Bearings: A Literature Review. Gazi University Journal of Science Part A: Engineering and Innovation 6 2 43–50.
IEEE
[1]İ. Şahin and T. Şahin, “Design Optimisation of Rolling Element Bearings: A Literature Review”, GU J Sci, Part A, vol. 6, no. 2, pp. 43–50, June 2019, [Online]. Available: https://izlik.org/JA69UP32TM
ISNAD
Şahin, İsmail - Şahin, Tolgahan. “Design Optimisation of Rolling Element Bearings: A Literature Review”. Gazi University Journal of Science Part A: Engineering and Innovation 6/2 (June 1, 2019): 43-50. https://izlik.org/JA69UP32TM.
JAMA
1.Şahin İ, Şahin T. Design Optimisation of Rolling Element Bearings: A Literature Review. GU J Sci, Part A. 2019;6:43–50.
MLA
Şahin, İsmail, and Tolgahan Şahin. “Design Optimisation of Rolling Element Bearings: A Literature Review”. Gazi University Journal of Science Part A: Engineering and Innovation, vol. 6, no. 2, June 2019, pp. 43-50, https://izlik.org/JA69UP32TM.
Vancouver
1.İsmail Şahin, Tolgahan Şahin. Design Optimisation of Rolling Element Bearings: A Literature Review. GU J Sci, Part A [Internet]. 2019 Jun. 1;6(2):43-50. Available from: https://izlik.org/JA69UP32TM