García-Dominguez Amabel, Claver Juan, Sebastián Miguel A
Department of Manufacturing Engineering, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain.
Polymers (Basel). 2020 Sep 17;12(9):2119. doi: 10.3390/polym12092119.
Additive manufacturing technologies offer important new manufacturing possibilities, but its potential is so big that only with the support of other technologies can it really be exploited. In that sense, parametric design and design optimization tools appear as two appropriate complements for additive manufacturing. Synergies existing between these three technologies allow for integrated approaches to the design of customized and optimized products. While additive manufacturing makes it possible to materialize overly complex geometries, parametric design allows designs to be adapted to custom characteristics and optimization helps to choose the best solution according to the objectives. This work represents an application development of a previous work published in Polymers which exposed the general structure, operation and opportunities of a methodology that integrates these three technologies by using visual programming with Grasshopper. In this work, the different stages of the methodology and the way in which each one modifies the final design are exposed in detail, applying it to a case study: the design of a shoe heel for FDM-an interesting example both from the perspectives of ergonomic and mass customization. Programming, operation and results are exposed in detail showing the complexity, usefulness and potential of the methodology, with the aim of helping other researchers to develop proposals in this line.
增材制造技术提供了重要的新制造可能性，但其潜力巨大，只有在其他技术的支持下才能真正得到开发利用。从这个意义上说，参数化设计和设计优化工具似乎是增材制造的两种合适补充。这三种技术之间存在的协同作用允许采用集成方法来设计定制化和优化的产品。虽然增材制造能够实现过于复杂的几何形状，但参数化设计能使设计适应定制特征，而优化则有助于根据目标选择最佳解决方案。这项工作是对先前发表在《聚合物》杂志上的一项工作的应用开发，该工作阐述了一种通过使用Grasshopper进行可视化编程来整合这三种技术的方法的总体结构、操作和机会。在这项工作中，详细阐述了该方法的不同阶段以及每个阶段修改最终设计的方式，并将其应用于一个案例研究：为熔融沉积成型（FDM）设计鞋跟——从人体工程学和大规模定制的角度来看，这都是一个有趣的例子。详细展示了编程、操作和结果，说明了该方法的复杂性、实用性和潜力，旨在帮助其他研究人员在这方面开展相关建议。
