| PAN Cheng-yi,TONG Yuan-qi,ZHAO Yan-ling,LI Xia,CAO Guan-qun.Research on Microstructures Geometric Parameters Optimization of Steel Ball Unfolding Wheel Surface[J],50(7):212-224 |
| Research on Microstructures Geometric Parameters Optimization of Steel Ball Unfolding Wheel Surface |
| Received:September 20, 2020 Revised:December 09, 2020 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2021.07.022 |
| KeyWord:steel ball unfolding wheel surface microstructure friction wear numerical simulation parameter optimization |
| Author | Institution |
| PAN Cheng-yi |
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin , China |
| TONG Yuan-qi |
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin , China |
| ZHAO Yan-ling |
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin , China |
| LI Xia |
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin , China |
| CAO Guan-qun |
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin , China |
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| Abstract: |
| The work aims to optimize the geometric parameters (shape, size, depth and spacing) of the pit-shaped microstructures on the surface of the unfolding wheel, so as to obtain the geometric parameter matching of the surface microstructures with the best characteristics of increasing friction coefficient and reducing wear, and to provide methods and basis for the design and application of the microstructure unfolding wheel. Firstly, Hertz theory was used to analyze the contact area between the unfolding wheel and the steel ball, to determine the geometric parameter range of the microstructures. An orthogonal test table was designed and the friction and wear tests were carried out. Then, based on Archard theory, the calculation model of wear depth on the unfolding wheel surface was deduced, and the wear depths of microstructure surface under different geometric parameters were obtained through numerical simulation, and the simulation results were compared and verified with the test results. Finally, the minimum wear amount and the maximum friction coefficient were taken as the objective function, the optimization model of microstructure geometric parameters was established by genetic algorithm based on Pareto, and the optimal range of friction coefficient and wear depth and the matching of corresponding microstructure geometric parameters were obtained by solving the function. The results are that the wear depth h is in the range of 5.24×10–7 to 5.32×10–7 mm in 0.2 s, the range of friction coefficient μ is in the range of 0.2600 to 0.2607. Among the corresponding 20 non-inferior solutions, the shape coefficient c value is about 0.289, the area s is all 0.0310 mm2, the depth d is between 97 to 112 μm, most of which are about 100 μm, and the space θ is distributed in the whole space range, and the highest frequency of occurrence is 3.59°. The results show that the order of the influence degree of the microstructure geometric parameters on the surface wear depth of the unfolding wheel is as follows:area>shape>depth>space; the order of the influence degree of the friction coefficient is as follows:shape> area>space>depth. The optimum geometric parameters matching is as follows:The shape is diamond, the area is 0.0310 mm2, the depth is about 100 μm, and the space is 3.6°. |
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