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| Abstract: |
| Rolling element bearing is the most common machine element in rotating machinery. An extended life is among the foremost imperative standards in the optimal design of rolling element bearings, which confide on the fatigue failure, wear, and thermal conditions of bearings. To fill the gap, in the current work, all three objectives of a tapered roller bearing have been innovatively considered respectively, which are the dynamic capacity, elasto-hydrodynamic lubrication (EHL) minimum film-thickness, and maximum bearing temperature. These objective function formulations are presented, associated design variables are identified, and constraints are discussed. To solve complex non-linear constrained optimization formulations, a best-practice design procedure was investigated using the Artificial Bee Colony (ABC) algorithms. A sensitivity analysis of several geometric design variables was conducted to observe the difference in all three objectives. An excellent enhancement was found in the bearing designs that have been optimized as compared with bearing standards and previously published works. The present study will definitely add to the present experience based design followed in bearing industries to save time and obtain assessment of bearing performance before manufacturing. To verify the improvement, an experimental investigation is worthwhile conducting. |
| Key words: dynamic capacity evolutionary algorithm optimum design tapered roller bearings temperature tolerance analysis |
| DOI：10.11916/j.issn.1005-9113.2021142 |
| Clc Number:TH122 |
| Fund: |
