气体保护焊二次模型的Box-Behnken设计及期望函数的优化分析

Kashif Nazir, A. Sheikh, M. Ahmad
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引用次数: 1

摘要

气体保护金属极电弧焊(GMAW)是一种焊接工艺,由于其高生产率和易操作性,如更少的烟雾和更少的时间碎片渣,因此越来越多地被用于许多制造业和制造业。影响GMAW工艺的重要参数有电流、弧长、送丝速度、焊接速度和焊接电压。本文通过对GMAW过程二次模型的Box-Behnken设计和期望函数的优化分析,重点研究了重要可控因素对熔深、沉积效率、焊道宽度和焊道补强的影响,以期在应力和过载条件下,在移动或户外焊接车间中找到最佳焊缝。焊缝质量被定义为“焊缝在整个焊件体积以及焊缝表面外观轮廓方面表现出的完美程度”。参考上述质量焊缝定义,进行研究以找出最佳焊接条件,而最佳焊缝是沉积效率值越大越好、熔深值“越大越好”、焊道宽度值“标称最好”、每个焊缝计数值的不连续数“越小越好”的焊缝。质量方面的生产率被定义为参数的最佳混合,这些参数不可避免地会产生最小或没有缺陷,然后该过程将产生高生产率。对于给定的特定材料和类似的焊接环境,我们的分析发现了现场数据类似条件下的最佳因子值。本研究将从以下几点为焊接研究工作做出贡献:首先,通过利用DOE和期望函数来提高对焊接工艺和分析的认识,第二,能够提供窄窗口的焊接工艺参数来生产高质量的焊缝,第三,研究移动焊接车间在最恶劣的条件下(如多风多尘环境)的GMAW工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Box-Behnken design of quadratic model for Gas Metal Arc Welding (GMAW) and optimization analysis on desirability function
Gas Metal Arc Welding (GMAW) is one of those welding processes which is increasingly being used in many varieties of fabrication and manufacturing industries due to high production rate and ease of work such as fewer fumes/smoke and less time chipping slag. Important parameters which affect GMAW process are amperage, arc length, wire feed speed, welding speed and welding voltage. In this paper, we have focused and studied important controllable factor’s effects on depth of penetration, deposition efficiency, bead width and bead reinforcement to find best weld during welding in mobile or outdoor welding shop in stress and overloaded conditions by Box-Behnken design of quadratic model for GMAW process and optimization analysis on desirability function. Quality of welds is defined as "the level of perfection that welds exhibit pertaining to the entire volume of weldment as well as to the profile of weld surface appearance". With reference to quality weld definition as defined above, the study is performed to find out the best welding condition whereas best weld is the weld with deposition efficiency value as larger the best, depth of penetration value with "larger the best", bead width value "nominal the best", discontinuities number per weld’s count value "smaller the best". Productivity in term of quality is defined as an optimum blend of parameters which inevitably develop minimum or no defect then the process will result in high productivity. For given certain material and similar welding circumstances, our analysis has found the most optimal factor’s values for the similar condition of field data. This study will contribute welding research work in terms of points as described, firstly to enhance the knowledge of welding process and analysis by utilizing DOE along with desirability function, secondly ability to provide narrow window of weld process parameter to produce the quality weld and thirdly to study the GMAW process for mobile welding shop in the toughest condition such as the windy and dusty environment.
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