RESM

   

Submission & tracking

For submitting new manuscripts or tracking the existing ones, login or register to the Submission Tracking System.


LOGIN / REGISTER

Special issue

Special Issue Proposals:

The journal of RESM is open to proposals for special issues on emerging related topics. More info is here.

Open to new members

Our journal is open for new team members in various positions, such as: editor, editorial board member, copyeditor, language editor.


For more see link...

LATEST events

PARTNERS




Review Article

A review on optimization of process parameters of fused deposition modeling

Naveen Kumar Suniya, Arvind Kumar Verma

Department of Production and Industrial Engineering, MBM University, Jodhpur, India

Keywords

Abstract




3D printing;

Additive manufacturing;

Artificial neural network;

Fused deposition modeling;

Genetic algorithm;

Taguchi philosophy

The purpose of this review is to explore various techniques used in the optimization of process parameters of 3D printing machines for different applications. Fused Deposition Modeling (FDM) is an emerging technology that has been widely used in diverse areas including new product development, mould manufacturing, etc. FDM is the process of depositing the material in a layer-by-layer manner to manufacture the part. FDM provides a lot of flexibility in fabricating a part. Many complex parts can be manufactured by FDM easily which are very difficult to manufacture through conventional manufacturing methods. However, build-in time, manufacturing speed, and mechanical strength of FDM fabricated parts are still challenging and critical. The quality of FDM fabricated parts is affected by various machining parameters, such as air gap, build orientation, infill percentage, raster angle, raster width, layer thickness, etc. The selection of significant process parameters needs to be identified and optimized as per the usage of apart. Many researchers have used different techniques, such as the design of experiment (DOE) technique, response surface method(RSM), genetic algorithm(GA), artificial neural network(ANN), and fuzzy, to optimize the FDM process parameters to improve the desired part quality, such as mechanical properties, and dimensional accuracy. This survey paper attempts to critically review various research articles published on the optimization of process parameters to improve the performance parameters of FDM.

© 2023 MIM Research Group. All rights reserved.

LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


(More details of the news may be given in the News section)


For more see News...

LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


abstractıng/ındexıng

  • Asos Indeks
  • CiteFactor
  • Cosmos
  • CrossRef
  • Directory of Research Journal Indexing
  • Engineering Journals (ProQuest)
  • EZB Electronic Journal Library
  • Global Impact Factor
  • Google Scholar
  • InfoBase Index
  • International Institute of Organized Research (I2OR)
  • International Scientific Indexing (ISI)
  • Materials Science & Engineering Database (ProQuest)
  • Open Academic Journals Index
  • Publication Forum
  • Research BibleScientific Indexing Service
  • Root Indexing
  • Scopus
  • Ulakbim TR Index (Tubitak)
  • Universal Impact Factor
  • Scope Database




MIM RESEARCH GROUP

©2014. All rights reserved

Contact :

jresm@jresm.net

editor.jresm@gmail.com


Postal Address:

Kemal Öz Mah. 3. Bilgi Sok., 4A, No:13 Usak/Turkey



Last update

of this page:

30.03.2023

(dd.mm.yyyy)


Go to main page for last version