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Schmitt–Kim additive manufacturing evaluation tree: a guide for new users

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Abstract

Advances in 3D printing are leading to a wealth of excitement around the topic; designers, engineers, and hobbyists alike are looking to utilize the technology to improve upon existing designs and produce new components that perform better than a traditionally manufactured part. In this respect, additively manufactured parts offer a neat solution to problems of geometric limitations, small production economics, and rapid design cycle fulfillment. Though promising in capability, the variety in 3D printing methods and the inherent limitations of each can be difficult for new users to comprehend effectively when exploring whether or not the technology may work for them. It is in the best interest of the additive manufacturing community that the technology, though rapidly developing, be well understood so that adoption is easier and more widespread. The purpose of this paper, therefore, is to present an evaluation tree specific to additive manufacturing, that will assist new users of the technology when assessing manufacturing methods for their application. The evaluation tree is focused on providing a high-level technical overview of the engineering decisions required for AM adoption, a current gap in the research. A detailed review of the dominant 3D printing types and recommendations are given for the user’s future considerations. Three case studies have additionally been provided at the end of the paper to demonstrate the use of the evaluation tree. The goal of this paper is to aid in the further adoption of 3D printing, while providing valuable general information and technical considerations for new users.

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  1. Department of Mechanical and Materials Engineering, Queen’s University, Kingston, ON, Canada

    Matt Schmitt & Il Yong Kim

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Schmitt, M., Kim, I.Y. Schmitt–Kim additive manufacturing evaluation tree: a guide for new users. Prog Addit Manuf 7, 375–397 (2022). https://doi.org/10.1007/s40964-021-00235-w

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