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Vibration Fatigue of FDM 3D Printed Structures: The Use of Frequency Domain Approach
Massimiliano Palmieri1, Guido Zucca2, Giulia Morettini1
1Deparment of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy.
Materials (Basel, Switzerland)
|February 15, 2022
Summary
This study validates spectral methods for predicting the fatigue life of 3D printed polylactic acid components under random loads. Numerical simulations closely matched experimental results, confirming method adaptability for additive manufactured materials.
Area of Science:
- Materials Science
- Mechanical Engineering
- Additive Manufacturing
Background:
- Additive manufacturing (AM) is increasingly used for producing components, including metallic structures.
- AM components often face dynamic loading, necessitating fatigue life assessment.
- Existing fatigue life prediction methods, developed for traditional materials, require validation for AM materials.
Purpose of the Study:
- To evaluate the applicability of established spectral methods for predicting the fatigue life of 3D printed polylactic acid (PLA) components.
- To compare numerical fatigue life predictions with experimental data for AM parts under random loading.
Main Methods:
- Utilized three common spectral methods to estimate fatigue life.
- Conducted experimental tests on a 3D printed Y-shaped PLA specimen under random loads.
- Compared numerical predictions against experimentally determined fatigue life.
Main Results:
- Numerical fatigue life predictions demonstrated excellent agreement with experimental results.
- The investigated spectral methods proved adaptable for predicting the fatigue life of AM components.
- Validated the accuracy of numerical simulations for AM material fatigue assessment.
Conclusions:
- Spectral methods are suitable for predicting the fatigue life of additive manufactured components made from materials like PLA.
- Numerical simulations can reliably assess the fatigue performance of 3D printed parts.
- This research bridges the gap in fatigue analysis for novel AM materials.
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