稳健优化成本设计及隐函数稳健设计研究
发布时间：2019-02-09 17:28
【摘要】：随着生活水平的提高,人们对机械产品的精度、速度、环保等要求也越来越高,这要求专业人员能够基于市场的要求,运用模块化设计、标准化设计、稳健设计、可靠性设计、生命周期设计等现代设计方法,提出机械产品设计的应对方案。 机械设计已由过去的单纯依赖经验设计演变为现在的依靠计算机技术、现代设计方法、规范及行业标准化的过程。传统的经验设计严重依赖于设计者个人的经验和水平,导致生产资料的极大浪费。现代设计方法有较为成熟的理论依据,并利用日益精确的计算功能及优化设计工具等。本论文研究现代设计方法之一稳健设计,主要研究内容如下所示: 1)为了提高制造企业的市场竞争力,提出了一种稳健优化成本设计方法。鉴于社会对制造产业节约成本的要求越来越强烈。稳健优化成本设计可以让企业通过采用更加廉价的零部件来替换目前设备上的零部件,并且产品的功能不会受到影响。在充分了解现有机械产品的基础上,采用稳健优化成本设计的方法可以放松对零部件的精度要求。 线性问题是非线性问题的基础,论文首先回顾了线性工程模型的稳健设计,并在其基础上提出了一种优化成本的设计方法,得出了输入设备的方差关于设计参数及性能参数方差的函数关系,利用优化的方法实现了设计参数的最优组合,不但保证了产品质量,而且降低了产品的生产成本。通过降低对输入设备的精度要求实现了产品成本的优化。 针对非线性工程模型,在保证产品性能不变甚至提高的前提下,基于泰勒展开,得出零部件公差关于设计参数及性能特征参数波动的确切关系,利用优化工具MATLAB得出零部件更大的允许设计方差;然后根据方差求解出零部件的制造精度。在轻工机械产品中,涂布设备占有重要地位,利用稳健优化成本设计实现了涂布设备的节能目标。在涂布头的设计中,基于其内在机理以及稳健优化成本设计方法,放松了对各辊的制造精度及驱动精度的要求。 2)完善了分析性稳健设计方法;具体针对隐函数工程模型的稳健设计,提供了一个解决方案。依据功能特性参数与设计参数之间的隐函数关系,建立了产品性能波动方差与设计参数及其方差之间的函数关系,实现了隐函数工程模型的稳健设计,使得产品质量得以提升。在工程实践中,工程模型存在隐函数形式的情况。利用泰勒展开的方法,并在功能需求个数与原始工程模型个数相等的情况下,求出了功能特性参数的方差及约束条件表达式,得出了基于隐函数工程模型的一种稳健设计方法及模型。
[Abstract]:With the improvement of living standard, the requirements of precision, speed and environmental protection of mechanical products are becoming higher and higher, which requires professionals to be able to use modular design, standardized design, robust design and reliability design based on the requirements of the market. Life cycle design and other modern design methods, mechanical product design solutions. Mechanical design has changed from relying on experience in the past to relying on computer technology, modern design methods, standardization and industry standardization. The traditional empirical design relies heavily on the designer's personal experience and level, which leads to a great waste of the means of production. The modern design method has more mature theoretical basis, and makes use of the increasingly accurate calculation function and the optimization design tool and so on. In this paper, one of the modern design methods, robust design, is studied. The main contents are as follows: 1) in order to improve the market competitiveness of manufacturing enterprises, a robust optimization cost design method is proposed. In view of the society on the manufacturing industry cost-saving requirements are becoming more and more intense. Robust cost optimization allows companies to replace components on current equipment by adopting cheaper components without affecting the functionality of the product. On the basis of fully understanding the existing mechanical products, the method of robust optimization cost design can relax the precision requirements of components. Linear problem is the foundation of nonlinear problem. Firstly, the robust design of linear engineering model is reviewed, and a design method of optimal cost is proposed. The function relation of input equipment variance on design parameter and performance parameter variance is obtained. The optimal combination of design parameters is realized by using optimization method, which not only guarantees the product quality but also reduces the production cost. The product cost is optimized by reducing the precision requirement of the input equipment. In view of nonlinear engineering model, under the premise that the product performance is invariable or even improved, the exact relation of component tolerance on the fluctuation of design parameters and performance characteristic parameters is obtained based on Taylor expansion. The larger allowable design variance of the parts is obtained by using the optimization tool MATLAB. Then, according to the variance, the manufacturing accuracy of the parts is solved. Coating equipment plays an important role in light industrial machinery products. The energy saving target of coating equipment is realized by using robust optimization cost design. In the design of coating head, based on its internal mechanism and robust optimization cost design method, the requirements of manufacturing accuracy and driving precision of each roll are relaxed. 2) improving the analytical robust design method and providing a solution for the robust design of implicit function engineering model. According to the implicit function relation between the function characteristic parameter and the design parameter, the function relation between the product performance fluctuation variance and the design parameter and its variance is established, the robust design of the implicit function engineering model is realized, and the product quality is improved. In engineering practice, there are implicit function forms in engineering model. By using the Taylor expansion method and when the number of functional requirements is equal to the number of original engineering models, the expressions of variance and constraint conditions of the functional characteristic parameters are obtained. A robust design method and model based on implicit function engineering model are obtained.
【学位授予单位】：汕头大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH122
本文编号：2419211
[Abstract]:With the improvement of living standard, the requirements of precision, speed and environmental protection of mechanical products are becoming higher and higher, which requires professionals to be able to use modular design, standardized design, robust design and reliability design based on the requirements of the market. Life cycle design and other modern design methods, mechanical product design solutions. Mechanical design has changed from relying on experience in the past to relying on computer technology, modern design methods, standardization and industry standardization. The traditional empirical design relies heavily on the designer's personal experience and level, which leads to a great waste of the means of production. The modern design method has more mature theoretical basis, and makes use of the increasingly accurate calculation function and the optimization design tool and so on. In this paper, one of the modern design methods, robust design, is studied. The main contents are as follows: 1) in order to improve the market competitiveness of manufacturing enterprises, a robust optimization cost design method is proposed. In view of the society on the manufacturing industry cost-saving requirements are becoming more and more intense. Robust cost optimization allows companies to replace components on current equipment by adopting cheaper components without affecting the functionality of the product. On the basis of fully understanding the existing mechanical products, the method of robust optimization cost design can relax the precision requirements of components. Linear problem is the foundation of nonlinear problem. Firstly, the robust design of linear engineering model is reviewed, and a design method of optimal cost is proposed. The function relation of input equipment variance on design parameter and performance parameter variance is obtained. The optimal combination of design parameters is realized by using optimization method, which not only guarantees the product quality but also reduces the production cost. The product cost is optimized by reducing the precision requirement of the input equipment. In view of nonlinear engineering model, under the premise that the product performance is invariable or even improved, the exact relation of component tolerance on the fluctuation of design parameters and performance characteristic parameters is obtained based on Taylor expansion. The larger allowable design variance of the parts is obtained by using the optimization tool MATLAB. Then, according to the variance, the manufacturing accuracy of the parts is solved. Coating equipment plays an important role in light industrial machinery products. The energy saving target of coating equipment is realized by using robust optimization cost design. In the design of coating head, based on its internal mechanism and robust optimization cost design method, the requirements of manufacturing accuracy and driving precision of each roll are relaxed. 2) improving the analytical robust design method and providing a solution for the robust design of implicit function engineering model. According to the implicit function relation between the function characteristic parameter and the design parameter, the function relation between the product performance fluctuation variance and the design parameter and its variance is established, the robust design of the implicit function engineering model is realized, and the product quality is improved. In engineering practice, there are implicit function forms in engineering model. By using the Taylor expansion method and when the number of functional requirements is equal to the number of original engineering models, the expressions of variance and constraint conditions of the functional characteristic parameters are obtained. A robust design method and model based on implicit function engineering model are obtained.
【学位授予单位】：汕头大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH122
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