As additive manufacturing (AM) increases in popularity, many companies seek to identify which parts can be produced via AM. This has led to new areas of research known as “part filtering”, “part selection”, or “part identification” for AM. Numerous methods have been proposed to quantify the suitability of a design to be made with AM, and each has its own benefits and drawbacks. This paper reviews 13 published part filtering methods and compares their advantages and disadvantages. The methods for part filtering are categorized and sorted along a continuum of opportunistic and restrictive design for AM guidelines in order to ascertain how parts are evaluated and screened. The methods are also examined through the lens of process-specificity, as some are designed to be process-agnostic, while others are customized for a specific AM technology or even a specific AM system. Based upon this analysis, a novel part filtering method is synthesized from the results, presented, and tested with practicing engineers. Testing indicates use of the method improves engineers’ ability to accurately identify suitability of part candidates for AM. This new method is designed to be process-agnostic and more comprehensive by including key criteria identified as important in the literature review. Limitations and future work are also discussed following demonstration of the new method.

随着增材制造 (AM) 越来越受欢迎，许多公司试图确定哪些零件可以通过增材制造生产。这导致了被称为 AM 的“零件过滤”、“零件选择”或“零件识别”的新研究领域。已经提出了许多方法来量化使用 AM 进行的设计的适用性，并且每种方法都有其自身的优点和缺点。本文回顾了 13 种已发表的零件过滤方法，并比较了它们的优缺点。零件过滤的方法按照 AM 指南的机会主义和限制性设计的连续体进行分类和排序，以确定零件是如何评估和筛选的。这些方法还通过过程特异性的镜头进行检查，因为有些方法被设计为与过程无关，而其他的则是为特定的 AM 技术甚至特定的 AM 系统定制的。在此分析的基础上，从结果中合成了一种新颖的零件过滤方法，并与实践工程师一起展示和测试。测试表明，该方法的使用提高了工程师准确识别增材制造候选零件适用性的能力。这种新方法旨在通过纳入文献综述中确定为重要的关键标准，使其与过程无关且更加全面。在演示新方法之后，还讨论了局限性和未来的工作。测试表明，该方法的使用提高了工程师准确识别增材制造候选零件适用性的能力。这种新方法旨在通过纳入文献综述中确定为重要的关键标准，使其与过程无关且更加全面。在演示新方法之后，还讨论了局限性和未来的工作。测试表明，该方法的使用提高了工程师准确识别增材制造候选零件适用性的能力。这种新方法旨在通过纳入文献综述中确定为重要的关键标准，使其与过程无关且更加全面。在演示新方法之后，还讨论了局限性和未来的工作。