How generalisable are material extrusion additive manufacturing parameter optimisation studies? A systematic review-Reference-Cited by-同舟云学术

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How generalisable are material extrusion additive manufacturing parameter optimisation studies? A systematic review

Published:2022-11 Issue:11 Volume:8 Page:e11592
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Golab Mark^ORCID,Massey Sam^ORCID,Moultrie James^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference179 articles.

1. Additive manufacturing technologies: state of the art and trends;Gardan;Int. J. Prod. Res.,2016

2. Market Trends in Polymer Additive Manufacturing;Sherman,2018

3. Understanding error generation in fused deposition modeling;Bochmann;Surf. Topogr. Metrol. Prop.,2015

4. A review of additive manufacturing;Wong;ISRN Mech. Eng.,2012

5. Interlayer bonding improvement of material extrusion parts with polyphenylene sulfide using the Taguchi method;Fitzharris;Addit. Manuf.,2018

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4. A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions;Journal of Intelligent Manufacturing;2024-03-18

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