Modeling the influence of fused filament fabrication processing parameters on the mechanical properties of ABS parts-Reference-Cited by-同舟云学术

Modeling the influence of fused filament fabrication processing parameters on the mechanical properties of ABS parts

Published:2021-11 Issue: Volume:71 Page:711-723
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Alafaghani Ala'aldin,Ablat Muhammad Ali,Abedi Hossein,Qattawi Ala

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference55 articles.

1. Rapid fabrication of a non-assembly robotic hand with embedded components;De Laurentis;Assem Autom,2004

2. Costs and cost effectiveness of additive manufacturing;Thomas;US Dep Commer,2014

3. F. Li, Automated cost estimation for 3-AXIS CNC milling and stereolithography rapid prototyping, 2012. https://mspace.lib.umanitoba.ca/xmlui/handle/1993/8882 (accessed December 10, 2020).

4. The economics of big area additive manufacturing;Post,2016

5. Optimization of printing parameters in fused deposition modeling for improving part quality and process sustainability;Camposeco-Negrete;Int J Adv Manuf Technol,2020

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting actuation strain in quaternary shape memory alloy NiTiHfX using machine learning;Computational Materials Science;2025-01

2. An investigation of the ensemble machine learning techniques for predicting mechanical properties of printed parts in additive manufacturing;Decision Analytics Journal;2024-09

3. Strength and Electrostatic Discharge Resistance Analysis of Additively Manufactured Polyethylene Terephthalate Glycol (PET-G) Parts for Potential Electronic Application;Materials;2024-08-18

4. Comprehensive Evaluation of Printing Process Parameters and Tensile Properties of Coconut Polypropylene Filament Composites in Additive Manufacturing;Pertanika Journal of Science and Technology;2024-07-30

5. Study on material behaviours of additively manufactured high-impact polystyrene using artificial neural networks;Progress in Additive Manufacturing;2024-07-17