Wear assessment of 3–D printed parts of PLA (polylactic acid) using Taguchi design and Artificial Neural Network (ANN) technique

Wear assessment of 3–D printed parts of PLA (polylactic acid) using Taguchi design and Artificial Neural Network (ANN) technique

Additive manufacturing (AM) is a rapidly growing technology with promising results and challenges. The aim of this study is to optimize the process parameters of fused deposition modeling (FDM) by exploring the wear performance of Polylactic acid (PLA). In this work, variation of process parameters...

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Bibliographic Details
Main Authors: Meena Pant, Ranganath M Singari, Pawan Kumar Arora, Girija Moona, Harish Kumar
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Materials Research Express
Subjects:
additive manufacturing (AM)
Pin-on-Disc (PoD)
taguchi design
analysis of variance (ANOVA)
fused filament fabrication
artificial neural network
Online Access:https://doi.org/10.1088/2053-1591/abc8bd

Internet

https://doi.org/10.1088/2053-1591/abc8bd

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