Back to results
Bibliographic record · Consultation and access
Artículo

Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method

Kapil Kumar et al · KeAi Communications Co., Ltd · 2023

Open access available
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

DOAJ DOAJ Articles
Entrar por DOAJ
Main access

Open access available

Recurso identificado como acceso abierto, sin confirmar automáticamente si es texto completo directo.
Open resource

Summary

Descripción general del contenido del recurso.

Abstract The urgent need to develop customized functional products only possible by 3D printing had realized when faced with the unavailability of medical devices like surgical instruments during the coronavirus-19 disease and the on-demand necessity to perform surgery during space missions. Biopolymers have recently been the most appropriate option for fabricating surgical instruments via 3D printing in terms of cheaper and faster processing. Among all 3D printing techniques, fused deposition modelling (FDM) is a low-cost and more rapid printing technique. This article proposes the fabrication of surgical instruments, namely, forceps and hemostat using the fused deposition modeling (FDM) process. Excellent mechanical properties are the only indicator to judge the quality of the functional parts. The mechanical properties of FDM-processed parts depend on various process parameters. These parameters are layer height, infill pattern, top/bottom pattern, number of top/bottom layers, infill density, flow, number of shells, printing temperature, build plate temperature, printing speed, and fan speed. Tensile strength and modulus of elasticity are chosen as evaluation indexes to ascertain the mechanical properties of polylactic acid (PLA) parts printed by FDM. The experiments have performed through Taguchi's L27 orthogonal array (OA). Variance analysis (ANOVA) ascertains the significance of the process parameters and their percent contributions to the evaluation indexes. Finally, as a multi-objective optimization technique, grey relational analysis (GRA) obtains an optimal set of FDM process parameters to fabricate the best parts with comprehensive mechanical properties. Scanning electron microscopy (SEM) examines the types of defects and strong bonding between rasters. The proposed research ensures the successful fabrication of functional surgical tools with substantial ultimate tensile strength (42.6 MPa) and modulus of elasticity (3274 MPa).

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, K. K. E. (2023). Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method. https://doi.org/10.1186/s10033-023-00847-z

MLA

al, Kapil Kumar et. "Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method." 2023. https://doi.org/10.1186/s10033-023-00847-z.

Chicago

al, Kapil Kumar et. 2023. "Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method.". https://doi.org/10.1186/s10033-023-00847-z.

Harvard

al, K. K. E. 2023, Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-023-00847-z [Accessed 9 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method
Author / contributors
Kapil Kumar et al
Publisher
KeAi Communications Co., Ltd
Publication year
2023
ISSN
2192-8258
ISSN
2192-8258
Language
English

Subjects

Explore related resources through these subjects.

Copied