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Methods for automated manufacturability analysis of injection-molded and die-cast parts

机译:注塑和压铸零件自动可制造性分析的方法

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In this article, a mathematical framework to automatically evaluate the manufacturability of injection-molded and die-cast parts is presented. The framework includes an implemented mathematical algorithm to solve key outstanding challenges in feature recognition for manufacturability analysis of injection-molded and die-cast parts. A novel feature recognition method is developed that is based on decomposing the part into elemental cubes and then, making use of their individual manufacturability, the manufacturability of the part as a whole is evaluated. This article discusses a procedure to obtain a 3D binary representation of the solid model and develops feature recognition techniques to extract critical manufacturability information from this 3D binary array. The outstanding challenges addressed by the method presented include the finding of parting surfaces, parting lines, undercuts, holes, bosses, and finding the direction of mold closure in the context of injection-molded or die-cast parts. The algorithm is implemented using a combination of C++ code and Unigraphics solid modeling software. A short example is presented. Keywords Design for manufacturing - Feature recognition - Automated manufacturability analysis - Injection-molding - Die-casting
机译:在本文中,提出了一种数学框架,用于自动评估注塑和压铸零件的可制造性。该框架包括一个实施的数学算法,以解决注塑成型和压铸零件可制造性分析中特征识别中的关键挑战。开发了一种新颖的特征识别方法,该方法基于将零件分解为元素立方体,然后利用其单独的可制造性来评估零件整体的可制造性。本文讨论了获取实体模型3D二进制表示形式的过程,并开发了特征识别技术以从此3D二进制阵列中提取关键的可制造性信息。提出的方法解决的突出挑战包括:找到分型面,分型线,底切,孔,凸台,以及在注塑或压铸零件的情况下找到合模方向。该算法是结合使用C ++代码和Unigraphics实体建模软件来实现的。给出一个简短的例子。关键词制造设计-特征识别-自动化可制造性分析-注塑成型-压铸

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