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A statistical analysis of high-performance prosthetic isogrid composite tubes using response surface method
Engineering Computations ( IF 1.5 ) Pub Date : 2020-11-26 , DOI: 10.1108/ec-04-2020-0222
Matheus Francisco , Lucas Roque , João Pereira , Susiane Machado , Sebastião Simões da Cunha Jr , Guilherme Ferreira Gomes

Purpose

This study aims to address a deep statistical analysis on transtibial prostheses made of composite isogrid carbon/epoxy structure.

Design/methodology/approach

For the methodological procedure, an experimental arrangement was created using design of experiments, and the response surface methodology (RSM) was used. The RSM was obtained from the decision variables of the isogrid model, which consists of angle, circular width and helical width. All modeling was performed numerically using the finite element method.

Findings

Results obtained through analysis of variance (ANOVA) indicated the sensitivity of each decision variable (manufacture) in the mechanical responses. The results obtained in this study provide a starting point in formulating optimization problems for researchers and engineers.

Originality/value

A noteworthy thing about structural analysis and structural optimization is that some parameters and decision variables are more significant than others in certain responses (Major et al., 2011). Knowing the sensitivity of these parameters is essential for the correct formulation of an optimization problem. To handle these obstacles, design of experiments and ANOVA are used to solve and obtain the main effects on the structural performance. Nevertheless, to the best of the authors’ knowledge, very few efforts have been devoted to the development to show the factors that influence the various responses of a lower limb prosthesis isogrid tube.



中文翻译:

基于响应面法的高性能假肢等网格复合管的统计分析

目的

本研究旨在对由复合等网格碳/环氧树脂结构制成的胫骨假体进行深入的统计分析。

设计/方法/方法

对于方法程序,使用实验设计创建实验安排,并使用响应面方法 (RSM)。RSM 是从等网格模型的决策变量中获得的,它由角度、圆形宽度和螺旋宽度组成。所有建模均使用有限元方法进行数值模拟。

发现

通过方差分析 (ANOVA) 获得的结果表明机械响应中每个决策变量(制造)的敏感性。本研究中获得的结果为研究人员和工程师制定优化问题提供了一个起点。

原创性/价值

关于结构分析和结构优化的一个值得注意的事情是,某些参数和决策变量在某些响应中比其他参数和决策变量更重要(Major et al. , 2011)。了解这些参数的敏感性对于正确制定优化问题至关重要。为了处理这些障碍,使用实验设计和方差分析来解决并获得对结构性能的主要影响。然而,据作者所知,很少有人致力于开发以显示影响下肢假体等网格管的各种响应的因素。

更新日期:2020-11-26
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