渐开线圆柱齿轮传动的优化设计

本文针对渐开线圆柱齿轮传动的设计,采用了现代设计方法进行优化设计探讨,文章中以一对齿轮传动副的体积最小作为优化设计目标,期望通过获得最小体积的齿轮传动副来减小整个传动箱的体积,并借助编制计算机程序进行优化设计,用以弥补手工计算的诸多不足,文中探讨了数学模型的建立、算法确定、计算机程序的编制,并结合工程实际给出了计算实例。     

渐开线圆柱齿轮公差的计算机辅助查找

本文介绍了JB179—83齿轮公差查找软件。程序采用FORTRAN语言编制并具有汉字处理功能,可在IBM-PC及其兼容机上运行,操作方便易会,实用性很强,是圆柱齿轮CAD的配套软件之一。     

GEAR渐开线圆柱齿轮副计算软件简介

本文介绍一种渐开线圆柱齿轮副及单个齿轮设计计算系列软件。在计算过程中同时选定检验项目公差，验算齿轮副几何特性和切齿刀具参数。软件具有快速、准确、实用性强等特点，适用于汽车、机床及其他机械齿轮传动装置的设计。     

用计算器求反渐开线函数

通过实例,介绍了用计算器求反渐开线函数的方法。     

用计算器求反渐开线函数

在渐开线齿轮和花键的尺寸计算中,经常要用到反渐开线函数,即已知invα=θ,求α值。目前普遍使用专用渐开线函数表,精度高低随表中各挡α的间隔值大小而变化,查找麻烦。而绝大多数渐开线函数表α值也只在0～60°间,大于60°的很难找到。许多杂志上著有用计算器求反渐开线函数的     

渐开线函数的计算

利用普通函数型计算器计算齿轮参数来提高工效和精度是简便易行的。笔者总结了多年工作实践,提出一种渐开线函数的计算器计算方法,其特点是按键次数少、计算精度高(反函数求解时精确至秒)。     

Quality Loss Functions for the Measurement of Service Quality

Service industries are growing at an explosive rate, particularly in comparison with manufacturing. Numerous service industries concentrate on service quality to enhance their competitive power. Customer satisfaction is a growing concern to many leading companies throughout the world. Improving service quality is considered an essential strategy for success and survival in today’s competitive situation. In order to meet the actual needs of customers, it is important to quantify service quality. However, using Taguchi’s quality loss function is not adequate for portraying the real situation in the service sector. In this paper, two modified quality loss functions are provided to measure service quality. The properties of these quality loss function parameters are discussed. The expected quality losses for the modified loss functions are also compared to that of Taguchi’s loss function. The results show that these modified quality loss functions are much more suitable for measuring service quality. ID="A1"Correspondance and offprint requests to: Dr M.-H. C. Li, Department of Industrial Engineering, Feng Chia University, PO Box 25-097, Taichung 407, Taiwan. E-mail: mhli@fcu.edu.tw     

圆柱齿轮精度的计算机辅助分析计算

对齿轮传动精度的理论分析进行了概括介绍,然后重点分析设计软件的主要组成及其主要功能,最后由应用实例验证该软件的可行性。用Visual Basic语言编写软件从而完成齿轮精度的程序计算工作。该软件操作简单,能迅速正确的确定齿轮三个公差组精度等级、齿厚极限偏差、各公差组的检验项目及其公差值。     

Determining the Optimum Manufacturing Target Based on an Asymmetric Quality Loss Function

In 1998, Wu and Tang showed that the average quality loss of product can be decreased by shifting the manufacturing target from the design value. They assume that the quality characteristic obeys a uniform or normal distribution and adopt a quadratic asymmetric quality loss function. However, they did not consider the condition of using a linear asymmetric quality loss function in the model. In this paper, we present a modified Wu and Tang model with a uniform or triangular distribution under an asymmetric quality loss function for determining the optimum manufacturing target.     

Determining the Optimum Process Mean Under Quality Loss Function

Kapur et al. and Wen and Mergen have addressed the problems of products having specification limits but the manufacturing process not being capable of meeting the specifications in the short term. Kapur et al. report that inspection in an on-line quality control system is carried out as a short-term approach to reduce variance of the items shipped to the customers. Wen and Mergen balance the costs of products being out-of-specification by setting the optimal process mean in the short term. In this paper, we propose a modified Wen and Mergen’s cost model with a linear and quadratic asymmetrical for the measurement of the quality loss of products which are within specification, for determining the optimum process mean. ID="A1" Correspondence and offprint requests to: Dr C.-H. Chen, Department of Industrial Management, Southern Taiwan University of Technology, 1 Nan-Tai Street, Yung-Kang City, Tainan 710, Taiwan. E-mail: chench@mail.stut.edu.tw     

Target Selection for an Indirectly Measurable Quality Characteristic in Unbalanced Tolerance Design

a production process should be measured or controlled by another measurable variable. The immeasurable quality characteristic is a function of the directly measurable variable. For this type of quality characteristic, if the tolerance design is unbalanced, or if the relationship between the measurable variable and immeasurable quality characteristic is nonlinear, setting the process mean at the target value of the measurable variable will not minimise the expected quality loss. In this paper, the optimal process mean of the measurable variable is determined such that the expected quality loss is minimised for the above conditions. The results are compared with those of a directly measurable variable.     

Unbalanced Tolerance Design and Manufacturing Setting with Asymmetrical Linear Loss Function

Taguchi has developed many loss functions, and many of the situations are approximated by the quadratic function. Using a quadratic loss function when the actual loss function is non-quadratic may cause the incorrect input parameter levels to be chosen. In certain situations, a linear loss function is more appropriate in industrial applications. If tolerance design is unbalanced, setting the process mean at the nominal will not minimise the expected quality loss. Thus, two specific models of linear loss function are discussed for unbalanced tolerance design. One is an asymmetrical linear loss function and the other is a truncated asymmetrical linear loss function. The optimal process means for these two loss functions are also compared with each other. The results show that the process mean should be shifted a little from the nominal such that the expected quality loss is minimised.     

齿轮精度新标准下侧隙设计中的几个问题

表列了有关侧隙设计的新旧标准指标,解释了它们在各自标准中的含义,分析了对应指标的不同.在此基础上指出了侧隙设计计算中最小侧隙jbnmin应用上出现的问题和齿厚上偏差计算公式中出现的问题,分析了产生问题的原因,说明了正确的应用和计算方法.     

Simultaneous Optimisation of Multiple Quality Characteristics in Manufacturing Processes Using Taguchi's Quality Loss Function

Taguchi methods have proved to be successful over the last fifteen years or so for the improvement of product quality and process performance. Most Taguchi experiments are concerned with the optimisation of a single quality characteristic. Optimisation of multiple quality characteristics in manufacturing processes is not common and has received very little attention among the Taguchi practitioners. Many engineers using Taguchi methods have employed pure engineering judgement when dealing with multiple quality characteristics in manufacturing process optimisation. This approach is very subjective and therefore always brings an element of uncertainty to the decision-making process. This paper presents an alternative approach for tackling such optimisation problems using Taguchi’s quality loss function analysis. The paper also presents a case study to illustrate the potential of the proposed methodology.     

Tolerance design for products with correlated characteristics

This paper presents a design method for controlling dimensional tolerances of components with multiple functional characteristics. The discussions focus on the characteristics derived from common geometric dimensions. In order to approach the robust design, the tolerance design is achieved by minimizing the total expense, which is the sum of the manufacture cost and the quality loss. Since a product may fail because of any imperfect characteristic, the total quality loss includes all the contributions from individual losses. It is recommended that the losses in correlated characteristics be calculated in separate groups. The computation of the total loss involves the evaluation of the variances–covariance matrix of the related characteristics.