@ARTICLE{10.21494/ISTE.OP.2023.1003, 

TITLE={A comparative study of optimization methods for FDM additive manufacturing technology parameters}, 
  
AUTHOR={Aissa OUBALLOUCH
, Mohammed NASSRAOUI
, Khalid ZARBANE
, Zitouni BEIDOURI, }, 
	
JOURNAL={Uncertainties and Reliability of Multiphysical Systems}, 
	
VOLUME={7}, 

NUMBER={Issue 1}, 
	
YEAR={2023}, 

URL={http://openscience.fr/A-comparative-study-of-optimization-methods-for-FDM-additive-manufacturing}, 
	
DOI={10.21494/ISTE.OP.2023.1003}, 
	
ISSN={2514-569X}, 
	
ABSTRACT={The aim of this paper is to review different methods used to evaluate additive manufacturing (AM) technologies, in particular fused deposition modeling (FDM) technique. Thus, various methods are presented. Moreover, some published scientific works related to these methods are discussed. A comparative study of these optimization methods is also carried out including their strengths and drawbacks. Despite some limitations of these methods due to FDM technology constraints, this paper shows their importance in obtaining optimal selection of 3D printing parameters.}}