Additive manufacturing: scientific and technological challenges, market uptake and opportunities

Tofail, Syed A. M.; Koumoulos, Elias P.; Bandyopadhyay, Amit; Bose, Susmita; O’Donoghue, Lisa M.T.; Charitidis, Costas A.

doi:10.1016/j.mattod.2017.07.001

Cited by 1,366 publications

(697 citation statements)

References 47 publications

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“…The viscoelastic polymers used for DIW often possess limited mechanical strength and are fatigued by repeated mechanical stress, thus, improving their mechanical properties will greatly expand their applications . Gong et al.…”

Section: Reinforcing the Mechanical Properties Of 3d Printing Polymersmentioning

confidence: 99%

Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing

Lin

Tang

et al. 2019

Chemistry A European J

185

158

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The rapid development of additive manufacturing techniques, also known as three‐dimensional (3D) printing, is driving innovations in polymer chemistry, materials science, and engineering. Among current 3D printing techniques, direct ink writing (DIW) employs viscoelastic materials as inks, which are capable of constructing sophisticated 3D architectures at ambient conditions. In this perspective, polymer designs that meet the rheological requirements for direct ink writing are outlined and successful examples are summarized, which include the development of polymer micelles, co‐assembled hydrogels, supramolecularly cross‐linked systems, polymer liquids with microcrystalline domains, and hydrogels with dynamic covalent cross‐links. Furthermore, advanced polymer designs that reinforce the mechanical properties of these 3D printing materials, as well as the integration of functional moieties to these materials are discussed to inspire new polymer designs for direct ink writing and broadly 3D printing.

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Section: Reinforcing the Mechanical Properties Of 3d Printing Polymersmentioning

confidence: 99%

Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing

Lin

Tang

et al. 2019

Chemistry A European J

185

158

View full text Add to dashboard Cite

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“…Nowadays, the community is trying to broaden the applications of FDM process by using various composite materials, including fiber‐reinforced polymers. However, the reinforcing fibers extensively studied are the inorganic fibers, for example, carbon fibers, glass fibers, and natural organic fibers (e.g., aramid fiber) . The morphology evolution of the elastomer toughened polymers and their performance in FDM have not been well studied.…”

Section: Introductionmentioning

confidence: 99%

Morphology Evolutions and Mechanical Properties of In Situ Fibrillar Polylactic Acid/Thermoplastic Polyurethane Blends Fabricated by Fused Deposition Modeling

Wang

Zhang

Sun

et al. 2019

Macro Materials & Eng

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There are many studies devoted to conquer the strength–ductility trade‐off dilemma of polylactic acid (PLA) by flexible elastomer blending, like thermoplastic polyurethane (TPU), but little is known about the effects of the fused deposition modeling (FDM) process on the in situ morphology evolution of the elastomers. In this work, the effects of the three successive drawing processes in FDM on the morphology evolution of the dispersed TPU in the PLA matrix, and the toughening behavior of FDM‐printed PLA/microfibrillar‐TPU blends, are systematically studied. The results manifest that the average length of the TPU microfibrils can be turned precisely from 67.24 to 103.72 µm. The in situ microfibrillation process can remarkably improve the PLA crystallization capability and interfacial interaction. More interestingly, the inevitable decrease of impact strength of FDM‐printed part induced by the voids is compensated by the network‐like TPU microfibrils formed during the layer‐by‐layer printing. These inspiring findings suggest that the in situ fibrillation process can conquer the inherent weaknesses of both FDM process and PLA materials, providing facile and efficient method for fabricating high toughness PLA parts.

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“…The primary difference between the two techniques is that DED utilizes a powder flow/wire feedstock system to direct material onto the build substrate while simultaneously tracing out the build layer, whereas in the case of PBF, the powder is already within the build chamber and the energy source need only trace out each layer. A comparison of these techniques, as well as their overall advantages and disadvantages, can be found in review articles from Debroy (2018) as well as Tofail (2017) [1,2]. Some examples of components enabled through these two processes are porous biomedical implants [25–28], internal cooling channels and embedded features [29,30], location-specific coatings [31–33], multi-material and compositionally graded structures [34–37], part repair [38–40], among others (see Figs.…”

Section: Metallic Am – Towards Processing Simulationmentioning

confidence: 99%

Invited review article: Metal-additive manufacturing—Modeling strategies for application-optimized designs

Bandyopadhyay

Traxel

2018

Additive Manufacturing

Self Cite

111

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Next generation, additively-manufactured metallic parts will be designed with application-optimized geometry, composition, and functionality. Manufacturers and researchers have investigated various techniques for increasing the reliability of the metal-AM process to create these components, however, understanding and manipulating the complex phenomena that occurs within the printed component during processing remains a formidable challenge—limiting the use of these unique design capabilities. Among various approaches, thermomechanical modeling has emerged as a technique for increasing the reliability of metal-AM processes, however, most literature is specialized and challenging to interpret for users unfamiliar with numerical modeling techniques. This review article highlights fundamental modeling strategies, considerations, and results, as well as validation techniques using experimental data. A discussion of emerging research areas where simulation will enhance the metal-AM optimization process is presented, as well as a potential modeling workflow for process optimization. This review is envisioned to provide an essential framework on modeling techniques to supplement the experimental optimization process.

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Additive manufacturing: scientific and technological challenges, market uptake and opportunities

Cited by 1,366 publications

References 47 publications

Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing

Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing

Morphology Evolutions and Mechanical Properties of In Situ Fibrillar Polylactic Acid/Thermoplastic Polyurethane Blends Fabricated by Fused Deposition Modeling

Invited review article: Metal-additive manufacturing—Modeling strategies for application-optimized designs

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