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Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities

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Abstract

One of the major barriers that hinder the realization of significant potential of metal-based additive manufacturing (AM) techniques is the variation in the quality of the manufactured parts. Uncertainty quantification (UQ) and uncertainty management (UM) can resolve this challenge based on the modeling and simulation of the AM process. This paper reviews the research state of the art and discusses needs and opportunities in the UQ/UM of the AM processes, with a focus on laser powder bed fusion AM. The major methods and models of laser powder bed fusion AM process are summarized first. The current research work in UQ of AM processes is then reviewed. Based on the review of AM process models and current UQ approaches for the AM process, this paper presents insights into how the current state of the art UQ and UM techniques can be applied to AM to improve the product quality. Future research needs in UQ and UM of AM are also discussed. Laser sintering of metal nanoparticles, which is part of the micro-AM process, is used as an example to illustrate the application of UQ and UM in the AM.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, 37235, USA

    Zhen Hu

  2. Department of Civil and Environmental Engineering, Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, 37235, USA

    Sankaran Mahadevan

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Correspondence to Sankaran Mahadevan.

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Hu, Z., Mahadevan, S. Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities. Int J Adv Manuf Technol 93, 2855–2874 (2017). https://doi.org/10.1007/s00170-017-0703-5

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