Design method for controlling gear surface cutting textures to reduce noise

被引:0
|
作者
Zhang, Yu [1 ,2 ]
Duan, Chengyu [1 ,2 ]
Zhou, Hai [1 ,2 ]
Wang, Zhiyong [1 ]
机构
[1] Cent South Univ Forestry & Technol, Inst Modern Mech Transmiss Engn Technol, Shaoshan South Rd 498, Changsha 410004, Hunan, Peoples R China
[2] Cent South Univ Forestry & Technol, Engn Res Ctr Forestry Equipment Hunan Prov, Changsha, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Gear surface cutting texture; machining center; sine function; angular acceleration; vibration and noise; MESHING GEARS; ROUGHNESS;
D O I
10.1177/09544054251317229
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To address the issue of cutting textures formed on gear tooth surfaces during the manufacturing process, a design method is proposed where the cutting textures are distributed according to a sine function. Initially, a simplified mathematical model of the actual gear tooth surface cutting texture was constructed based on a four-axis machining center and cylindrical milling cutter. Ten design cases were created with different sine function phases, aiming to minimize angular acceleration. These cases were compared with normally processed gear pairs to identify the optimal design. Subsequently, using the established actual tooth surface model, the optimal design gear pair was compared with normally processed gear pairs through noise simulation experiments. The correctness of the simulation results was verified through vibration and noise testing experiments. The results indicated that the maximum amplitude of the first-order frequency of vibration and noise sound pressure levels decreased by 14.93% and 11.16%, respectively, validating the effectiveness of the surface cutting texture optimization method. This method provides a novel solution for reducing vibration and noise in gears.
引用
收藏
页数:13
相关论文
共 27 条
  • [1] Gear Differential Flank Modification Design Method for Low Noise
    Zhang, Yu
    Zhou, Hai
    Duan, Chengyu
    Wang, Zhiyong
    Luo, Hong
    STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2024, 70 (11-12): : 569 - 581
  • [2] Quantification of bone surface textures: exploring a new method of ontogenetic ageing
    de Rooij, Jimmy
    Vintges, Marleen Q.
    Zuidwijk, Thim
    Heerkens, Carel T. H.
    Schulp, Anne S.
    JOURNAL OF ANALYTICAL SCIENCE AND TECHNOLOGY, 2023, 14 (01)
  • [3] Quantification of bone surface textures: exploring a new method of ontogenetic ageing
    Jimmy de Rooij
    Marleen Q. Vintges
    Thim Zuidwijk
    Carel T. H. Heerkens
    Anne S. Schulp
    Journal of Analytical Science and Technology, 14
  • [4] SURFACE QUALITY FINISH IN LASER CUTTING USING TAGUCHI DESIGN
    Sharma, Vinay
    Chattopadhyaya, Somnath
    Hloch, Sergej
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2017, 24 (01): : 15 - 19
  • [5] Modeling of Cutting Forces and Roughness by the Response Surface Method (RS)
    Bentaleb, Faycal
    Amara, Idriss
    MULTIPHYSICS MODELLING AND SIMULATION FOR SYSTEMS DESIGN AND MONITORING, 2015, 2 : 161 - 168
  • [6] A new cutting edge surface reconstruction method for hard whirling tools
    Song, Shuquan
    Lu, Bin
    Zuo, Dunwen
    Zhou, Hai
    Zhen, Lei
    Zhou, Feng
    MEASUREMENT, 2020, 151
  • [7] Analysis of AFM Images of Self-Structured Surface Textures by Directional Fractal Signature Method
    Wolski, Marcin
    Podsiadlo, Pawel
    Stachowiak, Gwidon W.
    TRIBOLOGY LETTERS, 2013, 49 (03) : 465 - 480
  • [8] Prediction method for Surface Roughness based on Cutting parameters and Cloud model reasoning
    Ding, Weigang
    Yin, Yanchao
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 451 - 455
  • [9] Prediction of surface topography in face gear grinding based on dynamic contour interferometric sampling method
    Gao, Song
    Ma, Xiaofan
    Cai, Zhiqin
    Yao, Bin
    Li, Zhengminqing
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 130 (7-8): : 3401 - 3418
  • [10] Determination of appropriate cutting parameters depending on surface roughness by Taguchi method in milling of marbles
    Erkan Özkan
    Oğuzhan Öz
    Arabian Journal of Geosciences, 2020, 13