Classifying Thermal Degradation of Polylactic Acid by Using Machine Learning Algorithms Trained on Fourier Transform Infrared Spectroscopy Data

Classifying Thermal Degradation of Polylactic Acid by Using Machine Learning Algorithms Trained on Fourier Transform Infrared Spectroscopy Data

Polylactic acid (PLA) is the most common polymeric material in the 3D printing industry but degrades under harsh environmental conditions such as under exposure to sunlight, high-temperatures, water, soil, and bacteria. An understanding of degradation phenomena of PLA materials is critical to manufa...

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Bibliographic Details
Main Author: Sung-Uk Zhang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
polylactic acid (PLA)
material extrusion
thermal degradation
Fourier transform infrared (FTIR)
machine learning algorithm
Online Access:https://www.mdpi.com/2076-3417/10/21/7470

Internet

https://www.mdpi.com/2076-3417/10/21/7470

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