184
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Multiobjective Optimization of Conrod Big-End Bearing Lubrication Using an Evolutionary Algorithm

, , &
Pages 490-499 | Received 30 Jun 2012, Accepted 25 Jun 2014, Published online: 02 Mar 2015

REFERENCES

  • Holmberg, K., Andersson, P., and Eredemir, A. (2012), “Global Energy Consumption Due to Friction in Passenger Cars,” Tribology International, 47, pp 221–234.
  • Tung, S.C. and McMillan, M.L. (2004), “Automotive Tribology Overview of Current Advances and Challenges for the Future,” Tribology International, 37, pp 517–536.
  • Wang, N. and Kong, P. (2001), “A Simulated Air Bearing Analysis by Design of Experiments and Its Applications in Optimization,” Tribology Transactions, 44, pp 597–602.
  • Nassar, S.A., El-Khiamy, H., Barber, G.C., Zou, Q., and Sun, T.S. (2005), “An Experimental Study of Bearing and Thread Friction in Fasteners,” Journal of Tribology, 127(1), pp 263–272.
  • Escobar, R.L. and Cavalca, K.L. (2007), “Parameter Prediction in Dynamic Analysis Using Response Surface Method and Multi-Objective Genetic Algorithms,” 12th IFToMM World Congress, Besançon, France, June 18–21.
  • Johansson, S., Nilsson, P.H., Ohlsson, R., and Rosén, B. (2011), “Experimental Friction Evaluation of Cylinder Liner/Piston Ring Contact,” Wear, 271, pp 625–633.
  • Smith, E.H. (2011), “Optimising the Design of a Piston-Ring Pack Using DOE Methods,” Tribology International, 44, pp 29–41.
  • Francisco, A., Fatu, A., and Bonneau, D. (2009), “Using Design of Experiments to Analyse the Connecting Rod Big-End Bearing Behavior,” Journal of Tribology, 131(1), pp 1–13.
  • Deb, K. (2001), Multi-Objective Optimization Using Evolutionary Algorithms, Chichester, UK: Wiley.
  • Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2000), “A Fast and Elitist Multiobjective Genetic Algorithm for Multi-Objective Optimization,” NSGAII, Proceedings of the Parallel Problem Solving from Nature VI Conference, M. Schoenauer et al. (Eds.), Paris, Springer, pp 849–858.
  • Zitzler, E. and Thiele, L. (1998), “An Evolutionary Algorithm for Multi-Objective Optimization: The Strength Pareto Approach,” Technical Report No. 43, Computer Engineering and Networks Laboratory: Zurich, Switzerland,
  • Knowles, J. and Corne, D. (1999), “The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimization,” Proceedings of the 1999 Congress on Evolutionary Computation, pp 98–105, Piscataway, NJ: IEEE Press.
  • Fonseca, C.M. and Fleming, P.J. (1993), “Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization,” Genetic Algorithms: Proceedings of the Fifth International Conference, pp 416–423, San Francisco, CA: Morgan Kaufmann Publishers Inc.
  • Sasaki, D., Morikawa, M., Obayashi, S., and Nakahashi, K. (2001), “Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms,” Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization, 7–9 March, Zurich, Switzerland.
  • Sasaki, D., Obayashi, S., and Nakahashi, K. (2002), “Navier–Stokes Optimization of Supersonic Wings with Four Objectives Using Evolutionary Algorithms,” Journal of Aircraft, 39(4), pp 621–629.
  • Mäkinen, R.A. E., Periaux, J., and Toivanen, J. (1999), “Multidisciplinary Shape Optimization in Aerodynamics and Electromagnetics Using Genetic Algorithms,” International Journal for Numerical Methods in Fluids, 30, pp 149–159.
  • Deb, K. and Goel, T. (2000), “Multi-Objective Evolutionary Algorithms for Engineering Shape Design,” Evolutionary Optimization, Sarker, R., Mohammadin, M., and Yao, X. (Eds.), pp 147–176, Dordrecht: Kluwer.
  • Kelner, V. and Léonard, O. (2004), “Application of Genetic Algorithms to Lubrication Pump Stacking Design,” Journal of Computational and Applied Mathematics, 168, pp 255–265.
  • Wang, N. and Chang, Y. (2004), “Application of the Genetic Algorithm to the Multi-Objective Optimization of Air Bearings,” Tribology Letters, 17(2), pp 119–128.
  • Nain, P.K. S. and Deb, K. (2005), “A Multi-Objective Optimization Procedure with Successive Approximation Methods,” KANGAL Technical Report 2005002.
  • Ghorbanian, J., Ahmadi, M., and Soltani, R. (2011), “Design Predictive Tool and Optimization of Journal Bearing Using Neural Network Model and Multi-Objective Genetic Algorithm,” Scientia Iranica, Transactions B: Mechanical Engineering, 18(5), pp 1095–1105.
  • Rajeswara Rao, B. and Tiwari, R. (2007), “Optimum Design of Rolling Element Bearings Using Genetic Algorithms,” Mechanism and Machine Theory, 42, pp 233–250.
  • Gupta, S., Tiwari, R., and Nair, S.B. (2006), “Multi-Objective Design Optimization of Rolling Bearings Using Genetic Algorithms,” Mechanism and Machine Theory, 42(10), pp 1418–1443.
  • Hirani, H. (2004), “Multiobjective Optimization of a Journal Bearing Using the Pareto Optimality Concept,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 218, pp 323–336.
  • Hirani, H. (2005), “Multiobjective Optimization of Journal Bearing Using Mass Conserving and Genetic Algorithms,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 219, pp 235–248.
  • Forrester, A.I. J. and Keane, A.J. (2009), “Recent Advances in Surrogate-Based Optimization,” Progress in Aerospace Sciences, 45, pp 50–79.
  • Zadeh, P.M. and Toropov, V.V. (2009), “Metamodel-Based Collaborative Optimization Framework,” Structural and Multidisciplinary Optimization, 38, pp 103–115.
  • Fatu, A., Hajjam, M., and Bonneau, D. (2005), “Analysis of Non-Newtonian and Piezoviscous Effects in Dynamically Loaded Connecting-Rod Bearings,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 219, pp 209–224.
  • Patir, N. and Cheng, H.S. (1978), “An Average Flow Model for Determining Effects of Three-Dimensional Roughness on Partial Hydrodynamic Lubrication,” Journal of Tribology, 100, pp 12–17.
  • Robbe-Valloire, F., Paffoni, B., Progri, R. (2001), “Load Transmission by Elastic, Elasto-Plastic or Fully Plastic Deformation of Rough Interface Asperities,” Mechanics of Materials, 33, pp 617–633.
  • Myers, R.H. and Montgomery, D.C. (1995), Response Surface Methodology: Process and Product Optimization using Designed Experiments, John Wiley & Sons: New York.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.