Mechanical Strength Enhancement of 3D Printed Acrylonitrile Butadiene Styrene Polymer Components Using Neural Network Optimization Algorithm

Mechanical Strength Enhancement of 3D Printed Acrylonitrile Butadiene Styrene Polymer Components Using Neural Network Optimization Algorithm

Fused filament fabrication (FFF), a portable, clean, low cost and flexible 3D printing technique, finds enormous applications in different sectors. The process has the ability to create ready to use tailor-made products within a few hours, and acrylonitrile butadiene styrene (ABS) is extensively emp...

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Bibliographic Details
Main Authors: Jasgurpreet Singh Chohan, Nitin Mittal, Raman Kumar, Sandeep Singh, Shubham Sharma, Jujhar Singh, Kalagadda Venkateswara Rao, Mozammel Mia, Danil Yurievich Pimenov, Shashi Prakash Dwivedi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Polymers
Subjects:
optimization
neural network algorithm
fused filament fabrication
mechanical strength
simulation
Online Access:https://www.mdpi.com/2073-4360/12/10/2250

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