Optimization of gear tooth surfaces
Optimization of gear tooth surfaces
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DOI：
10.1016/s0890-6955(97)00086-2
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发表时间：
1998-05-01
影响因子：
14
通讯作者：
Westberg, H
中科院分区：
文献类型：
--
作者：
Amini, N;Rosen, BG;Westberg, H
在变速箱的发展过程中，有害噪声一直是人们讨论最多的话题之一。在保持相同的扭矩能力的同时，对变速箱的轻量化和紧凑性的要求越来越高，这就要求对涉及的所有参数进行优化设计。安静的运转在现代汽车变速箱中尤其令人向往。斜齿轮的几何形状非常复杂，这就产生了多变量优化过程的问题。齿轮微观形状和宏观形状的误差对声音的激活有很大的影响。许多研究人员已经研究过大分子形式的影响，而且众所周知，也是可以预测的。通常情况下，使用磨削和珩磨等精加工工艺来实现预期的齿轮齿的宏观形状。作为应用这些工艺的结果，获得了齿的微型体。本文涉及用这些工艺获得的齿轮齿面的表征。根据表面功能特性进行表征。这些参数是由于噪声活动而感兴趣的，当回顾感兴趣领域的现有文献时，这些参数被识别出来。为了提取这些信息作为表面函数参数，采用了三维测量技术、形状去除、函数滤波和二维谱密度分析。由于本文的主要目的是讨论如何制造具有最佳噪声结果的齿轮，因此讨论了RZP磨削、Fassler珩磨和Hurth绿剃齿的原理。在这项工作中，最重要的工艺参数已被确定利用两个水平的分数析因实验，基于表面的3D评估。识别的参数与工艺原理一起被用来预测表面特性。提出了生产低噪声齿轮的各工序的优化策略。对RZP工艺的论点和结果的有效性进行了检验，同时对实际制造车间的齿轮进行了评估。(C)1998年爱思唯尔科学有限公司。
During the evolution of gearboxes, unwanted noise has been one of the most discussed subjects. Increasing demands on weight reduction and compactness of gearboxes, while preserving the same torque capacity, require optimal design of all parameters involved. Quiet running is especially desirable in a modem automotive gearbox. The very complicated geometry of helical gears, engenders the problem of a multi-variable optimization procedure. Errors of the microform as well as the macroform of the gears highly influence the sound activation. Effects of the macroform have been studied by many researchers and are widely known and predictable. Normally, finishing processes, such as grinding and honing, are used to achieve the predicted macroform of a gear tooth. As a consequence of applying these processes, the microform of the tooth is accomplished.This paper is concerned with the characterization of the gear tooth surfaces obtained with such processes. The characterization is performed with respect to the surface functional properties. These parameters which are interesting due to the noise activity, were identified when the literature available in the field of interest was reviewed. 3D measuring technique, form removal, functional filtering, and 2D spectral density analysis have been utilized in order to extract this information as surface functional parameters.Since the main aim of this paper is to discuss how to produce gears with optimal noise consequences, the principles of RZP-grinding, Fassler honing and Hurth green-shaving are discussed. During this work, the most significant process parameters have been identified utilizing two-level fractional factorial experiments, based on 3D evaluation of surfaces. The parameters identified together with the process principles were then used to predict the surface characteristics. Optimal strategies concerning all processes for production of low noise gears are suggested. The validity of arguments and results regarding the RZP-process was examined, while gears from a real manufacturing shop-floor were evaluated. (C) 1998 Elsevier Science Ltd.