Drum product platform design method based on robustness

Abstract

The invention discloses a drum product platform design method based on robustness. According to the method, according to user requirements, the prior art and analysis of a designer, the designer creates a main function concept, parameters greatly influencing a product structure are extracted to serve as characteristic parameters, drum characteristic design parameters are reasonably refined through 'Zigzagging' mapping according to function requirement analysis and division of three kinds, and a function requirement and design parameter matrix of a product platform is built. A grey system theory is applied to the robust design of the product platform, and platform parameters and variant parameters are reasonably recognized through test design and association degree variance analysis; then, robust optimization is carried out in two stages, an optimal design scheme of design parameters of a drum set product family base body product and design parameters of each variant product is determined, the capacity of a product to adapt to outside environments is improved, design changes are taken into consideration, and the high-quality product is obtained at low cost. When the method is used for design, robustness of the product is taken into consideration at the early stage of product platform design, and design has adaptability so that a lot of rework in the later stage can be avoided.

Description

technical field

[0001] The invention relates to a robustness-based design method for a reel product platform, which belongs to the technical field of cranes. Background technique

[0002] In practical engineering applications, such as bridge cranes, due to the uncertainty of some design variables, parameters and constraints in the design process, as well as the randomness of factors such as environmental conditions and material properties, the variation caused by these uncertainties will be Passed to the design goals, resulting in fluctuations in quality performance indicators, increasing their impact on product quality. Therefore, in order to improve the robustness of product family design, in the design process, the values ​​of various design parameters must not only ensure the level of optimal design, but also ensure the minimum deviation of all quality and performance indicators of each variant product.

[0003] As an important load-bearing part of the hoisting mechanis...

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