Document Type
Article
Publication Date
4-25-2023
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
Additive Manufacturing (AM) has opened the door for portable and self-sufficient fabrication. However, environments with base vibration degrade part quality during production. This work focuses on investigating and mitigating the effects of base vibration on AM part quality. Factors influencing part quality initiated the approach, followed by experiments on an extrusion-type printer to inspect and minimize vibration effects. Part roughness was used as the part quality metric based on preliminary experimental observations. A modal impact test identified the print bed and print head gantry as vibration-sensitive components at ≈ 40 Hz. These vibration modes were targeted with experiments to evaluate and reduce vibration effects. Vibration originating from machine operation and vertical base vibration were compared. Part quality was impacted by base vibration 600 × more than by machine operation. Part roughness correlated with vertical base vibration intensity as the roughness standard deviation increased over 85%, from 187.71 μ in to 349.01 μ in, for parts printed with base vibration compared to parts printed without. This result indicated base vibration as the primary vibration source that leads to part quality degradation. A passive vibration control scheme was implemented resulting in a 93% reduction in the relative motion between the print head and bed, from 23.71 to 1.75 g/g, and a 16% improvement in part surface roughness, from 1015.60 to 850.39 μ in. This research provides direction for extending AM to harsh operational environments.
Publication Title
Experimental Techniques
Recommended Citation
Jensen, N.,
Parker, G. G.,
&
Blough, J. R.
(2023).
Base Vibration Effects on Additive Manufactured Part Quality.
Experimental Techniques.
http://doi.org/10.1007/s40799-023-00629-1
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/17081
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© The Author(s) 2023. Publisher’s version of record: https://doi.org/10.1007/s40799-023-00629-1