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Calculation and Experimental Verification of Oil Stirring Loss for Reducer Based on MPS Method
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Zhan Xu1, Bing Zhang1, Xi Wang2, Xuesong Zhao1, Xuebin Bai1
Automobile Technology | 2023, (4) : 44 - 49
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Automobile Technology | 2023, (4): 44-49
Calculation and Experimental Verification of Oil Stirring Loss for Reducer Based on MPS Method
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Zhan Xu1, Bing Zhang1, Xi Wang2, Xuesong Zhao1, Xuebin Bai1
Affiliations
  • 1 Global R&D Center, China FAW Corporation Limited, Changchun 130013
  • 2 Suzhou ShonCloud Engineering Software Co., Ltd., Suzhou 215100
Published: 2023-04-24 doi: 10.19620/j.cnki.1000-3703.20220977
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In order to solve the problem of low accuracy of oil stirring loss calculation caused by turbulence in the complex multi-pair gearing reducer, based on the Moving Particle Semi-implicit (MPS) method of Lagrangian system, and combined with Smagorinsky turbulence model and the calculation method of turbulent shear stress on polyhedral wall, the calculation accuracy of stirring loss was improved, which was verified by simulation and test. Finally, the influence of different oil stirring loss on the efficiency of recirculating conditions was analyzed. Research results show that the method can effectively improve the calculation accuracy from 47% to 91% on average of the oil stirring loss of the reducer, and the improvement effect is especially obvious in high-speed conditions. In the recirculating condition, the oil stirring loss has a significant impact on the reducer efficiency, and reducing the oil stirring loss can effectively improve the reducer efficiency in the recirculating condition.

Reducer  /  Oil stirring loss  /  Moving Particle Semi-implicit (MPS) method  /  Transmission efficient
Zhan Xu, Bing Zhang, Xi Wang, Xuesong Zhao, Xuebin Bai. Calculation and Experimental Verification of Oil Stirring Loss for Reducer Based on MPS Method[J]. Automobile Technology, 2023 , (4) : 44 -49 . DOI: 10.19620/j.cnki.1000-3703.20220977
Year 2023 volume Issue 4
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doi: 10.19620/j.cnki.1000-3703.20220977
  • Online Date:2025-12-07
  • Published:2023-04-24
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  • Revised:2023-02-21
Affiliations
    1 Global R&D Center, China FAW Corporation Limited, Changchun 130013
    2 Suzhou ShonCloud Engineering Software Co., Ltd., Suzhou 215100
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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