A critical review on Classification of materials used in 3D printing process

Ranjan, R.; Kumar, Deepak; Kundu, Manoj; Moi, Subhash Chandra

doi:10.1016/j.matpr.2022.03.308

Cited by 40 publications

(28 citation statements)

References 54 publications

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“…1–4 Different materials have been studied for 3D printing, such as polymers, metals, and ceramics, in the form of powders, colloids, solutions, gels, and filaments. 5,6 These materials possess unique mechanical, thermal, electrical, optical, and biomedical properties suitable for broad applications in thermal packaging, microelectronics, and biomedical areas. 7–9…”

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confidence: 99%

“…[1][2][3][4] Different materials have been studied for 3D printing, such as polymers, metals, and ceramics, in the form of powders, colloids, solutions, gels, and filaments. 5,6 These materials possess unique mechanical, thermal, electrical, optical, and biomedical properties suitable for broad applications in thermal packaging, microelectronics, and biomedical areas. [7][8][9] Even though 3D printing offers different advantages, such as rapid prototyping, fewer material compositions, faster production, product customization, and comprehensive material selection, each 3D printing technique has certain limitations.…”

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confidence: 99%

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Hybrid 3D printing for highly efficient nanoparticle micropatterning

et al. 2023

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Hybrid 3D printing for highly efficient nanoparticle micropatterning

et al. 2023

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“…First introduced around 1987, additive manufacturing involves creating a 3D object layer by layer using a computer-controlled printing program [2,3]. These cutting-edge methods allow for the production of highly intricate products while significantly reducing waste during the manufacturing process [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…To keep up with the growing demand and explore new possibilities, it is crucial to delve further into 3D printing. This entails fine-tuning process parameters to enhance product quality and achieve cost efficiency [4]. Hybrid optimization techniques stand out as highly effective methods [36], This is because they harness the unique capabilities of two or more individual methods.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid multi-criteria optimization of 3D printing process using grey relational analysis (GRA) coupled with principal component analysis (PCA)

Ranjan,

Saha

2024

Eng. Res. Express

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Fused deposition modeling (FDM) is renowned as a prominent approach in the realm of 3D printing, where objects are built layer by layer using a heated nozzle to extrude melted materials. This research was conducted to identify the most effective FDM process variables to enhance tensile strength while simultaneously reducing surface roughness. Polylactic Acid (PLA) was chosen to fabricate test samples, showcasing the applications of 3D printing. In the course of this research, we conducted a series of 27 experiments to investigate the fundamental relationship between the parameters and the corresponding responses. An integrated approach for multi-objective optimization, combining grey relational analysis (GRA) with principal component analysis (PCA), was carried out to fine-tune three input parameters: printing speed, layer thickness and carbon deposition (C-deposition). The central aim of this study lies in optimizing the input variables for the technological manufacturing process of embossing parts in the context of Industry 4.0. Notably, experiment trial exhibited the highest grey relational grade (GRG), indicating optimal process parameter settings at printing speed of 100mm/s, layer thickness of 0.1mm, and C-deposition of 15mg respectively. The findings from this study can be utilized in various industries and applications where FDM 3D printing is employed.

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“…In recent years, 3D printing has evolved rapidly, and many related technologies have emerged, including vat photopolymerization, material extrusion, powder bed fusion, and material jetting. Among these 3D printing technologies, vat photopolymerization is the earliest 3D printing technique [3,4].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties and Accuracy Evaluation of 3D Printing Based on Value in the Munsell Color System

Huang

et al. 2022

Advances in Materials Science and Engineering

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Aim. Printing parameters have been studied extensively to improve printing performance, while resins have been studied to a lesser extent. Therefore, we explore the impact of value in the Munsell color system on the mechanical properties and accuracy of printed products. Materials and Methods. Resins having different values were prepared by mixing transparent resin and color pastes. We used plate models for mechanical measurement, crown-and bridge models for accuracy measurement, and disc models for color measurement. Results. The Group E resin, which had the lowest value, had the minimum ultimate flexural strength (61.199 MPa) and a relatively low elastic modulus (19.015 MPa). Excluding the d index, no significant difference in accuracy was observed. In terms of the d index of trueness, the result of the Group E resin was significantly low. The relative errors of trueness were less than 0.0727 μm. The relative errors of precision were less than 0.0093 μm. Conclusion. The value of a resin affects the mechanical properties and accuracy of printed products. It is better to secure flexural strength by using a lower-value resin. High-value resins have relatively low accuracies.

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A critical review on Classification of materials used in 3D printing process

Cited by 40 publications

References 54 publications

Hybrid 3D printing for highly efficient nanoparticle micropatterning

Hybrid 3D printing for highly efficient nanoparticle micropatterning

A novel hybrid multi-criteria optimization of 3D printing process using grey relational analysis (GRA) coupled with principal component analysis (PCA)

Mechanical Properties and Accuracy Evaluation of 3D Printing Based on Value in the Munsell Color System

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