Integrating generative design and topology optimisation with product design values

A. Nemme, Roderick Walden
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Abstract

Advances in computer technology and software increasingly encourage the usage of CAD tools for designing forms that algorithmically manipulate ‘structural’ and ‘surface’ features. These sophisticated new computational processes, broadly known as ‘generative design’ and ‘topology optimisation’, are very likely to become a regular part of the product design process for many types of products. A core value of design practice is the development of intuition and iterative skills to explore the technical and experiential performance of design concepts through sketching, model making, and prototyping. Identifying ways to integrate ‘generative design’ and ‘topology optimisation’ CAD processes with ‘making’ as a core value in product design concept development is a significant challenge - particularly for design education. A related concern is that ‘topology optimisation’ can generate structurally optimised parts for the amount and type of material used, which essentially determines the fabrication method. Often these parts in their raw form can only be made using 3D printing technologies, though they can (and often need to) be ‘styled’ or modified. Therefore, the relationship to 3D printing and its limitations as an end-part manufacturing technology must be critically tested as part of the design process. The practice-led research presented includes a case study of the design of a mountain bike (MTB) crank arm developed using an integrated design process that incorporates a series of ‘topology optimisation’ simulations. The authors undertook the project to inform the design of a new ‘generative design’ and ‘topology optimisation’ studio-based subject to be offered to second and third-year product design students at the University of Technology Sydney. The research proposes a form of integrated design practice that values ‘making’ iteratively, and the advancing CAD-based ‘generative design’ and ‘topology optimisation’ tools to responsibly support experiential learning in product design, manufacturing and engineering.
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将生成设计和拓扑优化与产品设计价值相结合
计算机技术和软件的进步越来越多地鼓励使用CAD工具来设计通过算法操纵“结构”和“表面”特征的表单。这些复杂的新计算过程,通常被称为“生成设计”和“拓扑优化”,很可能成为许多类型产品设计过程的常规部分。设计实践的核心价值是直觉和迭代技能的发展,通过草图、模型制作和原型制作来探索设计概念的技术和经验表现。确定将“生成式设计”和“拓扑优化”CAD过程与“制造”作为产品设计概念开发的核心价值相结合的方法是一项重大挑战-特别是对设计教育而言。一个相关的问题是,“拓扑优化”可以根据所用材料的数量和类型生成结构优化的部件,这基本上决定了制造方法。通常这些部件的原始形式只能使用3D打印技术制造,尽管它们可以(并且通常需要)被“设计”或修改。因此,与3D打印的关系及其作为终端制造技术的局限性必须作为设计过程的一部分进行严格测试。实践主导的研究包括一个山地车(MTB)曲柄臂设计的案例研究,该设计使用了集成设计过程,其中包含一系列“拓扑优化”模拟。作者承担了这个项目,为悉尼科技大学产品设计专业的二年级和三年级学生提供了一个新的“生成设计”和“拓扑优化”工作室的设计。该研究提出了一种重视“制造”迭代的集成设计实践形式,以及先进的基于cad的“生成设计”和“拓扑优化”工具,以负责任地支持产品设计、制造和工程中的体验式学习。
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