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Title:FDM process parameter selection by hybrid MCDM approach for flexural and compression strength maximization
Authors:ID Begić-Hajdarević, Đerzija (Author)
ID Klančnik, Simon (Author)
ID Muhamedagić, K. (Author)
ID Čekić, Ahmet (Author)
ID Cohodar Husic, Maida (Author)
ID Ficko, Mirko (Author)
ID Gusel, Leo (Author)
Files:.pdf APEM19-1_108-116.pdf (664,45 KB)
MD5: BC436B4C22714792695117879B3939F4
 
URL https://apem-journal.org/Archives/2024/Abstract-APEM19-1_108-116.html
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Fused deposition modelling (FDM) is one of the mostly used additive technologies, due to its ability to produce complex parts with good mechanical properties. The selection of FDM process parameters is crucial to achieve good mechanical properties of the manufactured parts. Therefore, in this paper, a hybrid multi-criteria decision-making (MCDM) approach based on Preference Selection Index (PSI) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed for the selection of optimal process parameters in FDM printing of polylactic acid (PLA) parts. Printing temperature, layer thickness and raster angle were considered as input process parameters. In order to prove the effectiveness of the proposed hybrid PSI – TOPSIS method, the obtained results were compared with the results obtained with different MCDM methods. The obtained best option of process parameters was confirmed by other MCDM methods. The optimal combination of process parameters to achieve the maximal flexural strength, maximal flexural modulus and maximal compressive strength is selected using the hybrid PSI-TOPSIS method. The results show that the hybrid PSI-TOPSIS approach could be used for optimisation process parameters for any machining process.
Keywords:fused deposition modelling (FDM), multi-criteria decision-making (MCDM), hybrid PSI-TOPSIS method, mechanical properties, process parameters, optimisation
Publication status:Published
Publication version:Version of Record
Submitted for review:06.11.2023
Article acceptance date:13.03.2024
Publication date:29.04.2024
Publisher:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Year of publishing:2024
Number of pages:str. 108-116
Numbering:Vol. 19, no. 1
PID:20.500.12556/DKUM-96757 New window
UDC:681.5:658.5
ISSN on article:1854-6250
COBISS.SI-ID:197570563 New window
DOI:10.14743/apem2024.1.496 New window
Publication date in DKUM:27.01.2026
Views:132
Downloads:17
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0157-2020
Name:Tehnološki sistemi za pametno proizvodnjo

Funder:the Ministry of Science, Higher Education and Youth of the Sarajevo Canton

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:tehnologija ciljnega nalaganja, večkriterijsko odločanje, metoda PSI-TOPSIS, optimizacija


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

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