用田口设计的实验优化成形力和埃里克森指数:数学模型和实验验证

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
B. Ben Fraj, Taoufik Kamoun, H. Hentati, Mounir Trabelsi, N. Ghazouani, Mohd Ahmed
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引用次数: 0

摘要

实验设计是一种统计方法,从中确定最佳实验数量。本文选取了应用于Erichsen试验的田口试验设计。在此成形过程中最重要的参数,埃里克森指数(IE)和最大产生力(Fmax),是由实验和理论确定的。选取三个不同层次的输入因素,研究其对Erichsen输出结果的影响。考虑的输入因素是板材厚度、冲孔直径和摩擦系数。新的数学模型考虑了这些因素的影响和它们之间的相互作用。此外,还通过实验研究了Erichsen试验对S235钢微观组织行为的影响及其与板材厚度的关系。实验和理论结果之间的良好一致性证明了所提出的模型提供了精确的预测和准确的估计Erichsen输出参数(IE和Fmax)。采用田口法设计实验的有效性得到了很好的证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of forming force and Erichsen index using Taguchi design of experiments: Mathematical models and experimental validation
Design of experiments is a statistical approach from which an optimized number of experiments is determined. Taguchi design of experiments, applied on Erichsen tests, is chosen to be considered in this paper. The most important parameters in this forming process, Erichsen index ( IE), and maximum generated force ( Fmax), are experimentally and theoretically determined. Three input factors are selected, at diverse levels, in order to study their influence on Erichsen output results. The considered input factors are sheet thickness, punch diameter, and friction coefficient. New mathematical models which take into account the effects of these factors and their interactions are developed. Moreover, the influence of Erichsen test on the S235 steel microstructural behavior is experimentally examined as function of the sheet thickness. A good agreement between experimental and theoretical findings proves that the proposed models provide a precise prediction and an exact estimation of the Erichsen output parameters ( IE and Fmax). The efficiency of the adopted design of experiments via Taguchi method is well confirmed.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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