Novel advancements in additive manufacturing of <scp>PLA</scp>: A review

Odera, Raphael Stone; Idumah, Chistopher Igwe

doi:10.1002/pen.26450

Cited by 15 publications

(4 citation statements)

References 234 publications

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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%

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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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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“…Shape memory materials (SMMs) are a typical class of smart materials that exhibit unique abilities for spontaneous deformation in response to environmental stimuli such as heat, 1 light, 2 electricity, 3 and magnetism. 4 Within the domain of SMMs, shape memory polymers (SMPs) [5][6][7][8] offer notable advantages in terms of lightweight and cost-efficient, enabling a wide range of prospective applications in functional textiles, 9 aerospace, 10,11 and biomedical medicine. 12 In particular, SMPs exhibit extraordinary potential for the advancement of space deployable structures 13,14 and bone tissue scaffolds.…”

Section: Introductionmentioning

confidence: 99%

A simple phenomenological model for recovery behaviors of amorphous thermoset‐based shape memory polymers via a time‐varying viscosity

Tian,

Yin,

Chen

et al. 2024

Polymer Engineering & Sci

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Shape memory polymers are a typical class of smart materials with wide potential applications. Mathematically modeling their thermomechanical behaviors with both simplicity and accuracy is challenging. In this work, a time‐varying viscosity model was introduced to investigate amorphous thermoset‐based shape memory polymers, with a special focus on recovery behaviors. This model employs only a varying viscosity to describe both the mechanism of strain storage and release during the shape memory cycle and the modulus‐temperature trend, along with a phenomenological description for the structural transition. Furthermore, the model effectively captures the effect of temperature rates and load conditions on recovery behaviors by tracking the evolution of parameter τ. This parameter shares the same dimension as time and serves as a phenomenological indicator of the chain mobility. Moreover, the parameter τ exhibits similar values among diverse materials at a specific characteristic temperature, providing a simple way to estimate the extent of recovery.Highlights Introduced a simple phenomenological model to reproduce recovery behaviors and depict the modulus‐temperature trend. Both simulation and prediction results exhibit good agreement with tests. Effects of heating rates and load conditions can be traced by the model. The key model parameter τ possesses engineering and physical significance.

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“…The organization of materials frequently follows predictable patterns on smaller scales compared with the wavelengths of the processes they govern 15–23 . The expansion of this particular area of research is occurring quickly, driven mainly by advancements in the production of metamaterials, which may be predominantly achieved through 3D printing methodologies 24–38 …”

Section: Introductionmentioning

confidence: 99%

Investigation of sound absorption on a polymeric acoustic metamaterial using 3D printing process

Shah,

Singh,

Saini

et al. 2024

Polymer Engineering & Sci

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This paper presents the design and characterization of DENORMS (Designs for Noise‐Reducing Materials and Structures) cell‐based acoustic metamaterial developed using a 3D printing technique. The metamaterial's acoustic absorption properties were investigated through experimental testing and numerical simulations. The experimental testing of the acoustic metamaterial was conducted in an impedance tube using a two‐microphone method. The numerical simulations were carried out using a thermoviscous module. The simulations allowed for a deeper understanding of the influence of geometric parameters on the absorption coefficient, providing valuable insights for optimizing the design. It was observed that upon increasing the spherical diameter while maintaining the same cylindrical diameter and cylindrical length resulted in an increase in the absorption coefficient throughout the frequency range. It was also observed that upon increasing the cylindrical diameter, there was a significant decrement of absorption coefficient, and upon increasing the length of the cylinder, there was a shift of response toward lower frequency. The augmentation in cell count from 9 to 24 led to a rise in the absorption coefficient and a shift of the response toward lower frequencies. The findings highlight the significance of photopolymer 3D printing in tailoring complex geometries for enhanced performance of the acoustic metamaterial.Highlights Photopolymeric resin used for DENORMS cell‐based acoustic metamaterial. High cleanability and accuracy of digital light processing 3D printing technique. Usage of thermoviscous model for simulation of sound absorption behavior. Use of two microphone impedance tube to determine sound absorption coefficient. Geometric parameters significantly affect the absorption coefficient.

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Novel advancements in additive manufacturing of PLA: A review

Cited by 15 publications

References 234 publications

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

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

A simple phenomenological model for recovery behaviors of amorphous thermoset‐based shape memory polymers via a time‐varying viscosity

Investigation of sound absorption on a polymeric acoustic metamaterial using 3D printing process

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