3D printing composite materials: A comprehensive review

Nugroho, Wendy Triadji; Dong, Yu; Pramanik, Alokesh

doi:10.1016/b978-0-12-820512-9.00013-7

Cited by 13 publications

(11 citation statements)

References 106 publications

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“…Additive manufacturing (AM), also known as 3D printing, is a part of manufacturing technologies that rely on computer-aided design (CAD) to create 3D models (Nugroho et al , 2021). Such 3D models should be converted into Standard Tessellation Language (STL) format to be read by the software such as Cura (Ultimaker, 2021), Apex (Airwolf3D, 2019), Makerbot Print (MakerBot Industries, 2021), etc.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most popular techniques in AM is fused deposition modelling (FDM) because it is categorised as low-cost manufacturing, and can process various materials (Nugroho et al , 2021) including poly (lactic acid) (PLA), acrylonitrile butadiene styrene (ABS), polyamide (PA) (known as nylon), polyethylene terephthalate glycol (PETG), carbon fibres, as well as polyurethane (PU). PU is a polymeric material produced by means of the reaction of diisocyanate, oligodiol and a chain extender (Howard, 2002; Alquichire and Valero, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Nugroho

Dong

Pramanik

2022

RPJ

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Purpose This paper aims to investigate the dimensional accuracy consisting of thickness, grip section width, full length, circularity, cylindricity and surface finish of printed polyurethane dog-bone samples based on American Society for Testing and Materials (ASTM) D638 type V standard, which were optimally printed by fused deposition modelling (FDM). Design/methodology/approach The experimental approach focuses on determining main effects of printing parameters, including nozzle temperature, infill percentage, print speed and layer height on dimensional error and surface finish of the printed samples, followed by the confirmation tests to warrant the reproducibility of experimental results. Findings This study shows that layer height has the most significant impact on dimensional accuracy and surface finish of printed samples compared to other printing parameters, whereas infill density has no significant effect on all sample dimensions. Originality/value This paper presents a comprehensive study relating to various dimensional accuracies in terms of full length, grip section width, thickness, circularity, cylindricity and surface finish of dog-bone samples printed by FDM to improve the printability and processibility via additive manufacturing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Nugroho

Dong

Pramanik

2022

RPJ

Self Cite

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“…Of the 165 Ceramic AM review articles analyzed in this report, 9 identify some form of AI and/or ML as future directions. 17,22,30,53,58,94,120,156,160 Most of the limited studies to date in ceramic AM have been in utilizing these methods for damage or microstructure detection in printed parts, 206,223 but a large opportunity space exists to expand to feedstock development, property prediction and/or processing improvements. 224,[226][227][228] In the following section, a more in-depth assessment of the recent advancements and opportunities for future directions in each of the mentioned focus areas.…”

Section: Challenges and Opportunities In Ceramic Ammentioning

confidence: 99%

“…However, this potential gain is balanced against the time necessary to implement AI/ML and collect the data to “feed” the model. Of the 165 Ceramic AM review articles analyzed in this report, 9 identify some form of AI and/or ML as future directions 17,22,30,53,58,94,120,156,160 . Most of the limited studies to date in ceramic AM have been in utilizing these methods for damage or microstructure detection in printed parts, 206,223 but a large opportunity space exists to expand to feedstock development, property prediction and/or processing improvements 224,226–228 …”

Section: Challenges and Opportunities In Ceramic Ammentioning

confidence: 99%

“…In order to assess and analyze recent review articles in this area, a Scopus search was conducted in April 2023 for the specific time frame of 2018–2023. This search resulted in 165 review articles on ceramic additive manufacturing or some subset of that topic 1,3–166 . Figure 1 shows a graphical representation of the number of review articles separated into five focus areas.…”

Section: Introductionmentioning

confidence: 99%

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Future directions in ceramic additive manufacturing: Fiber reinforcements and artificial intelligence

Rueschhoff,

Baldwin,

Hardin

et al. 2023

J Am Ceram Soc.

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Research in the field of ceramic additive manufacturing (AM) has been rapidly accelerating, resulting in hundreds of publications and review articles in recent years. While strides have been made in forming near‐net and complex‐shaped ceramic components, challenges remain that inhibit more widespread implementation. In this perspective, we provide a meta‐analysis of recent review articles and highlight a deficiency in two areas of promising future directions to address remaining challenges. The first is incorporation of fiber reinforcements in printed parts to overcome the challenges of poor mechanical performance of monolithic ceramics. Recent work in the area has shown promise incorporating discrete fiber reinforcements as an easier use case given existing equipment limitations, but continuous fibers are needed to reach full toughness potential. Here, we overview some options and future directions bases on success in polymer composites. Second, artificial intelligence (AI) approaches, including machine learning (ML), are suggested in order to accelerate feedstock development and process optimization. While there has been very limited work to date in utilizing AI/ML techniques for ceramic AM, again inspiration and lessons learned are drawn from the polymer AM community.

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Preparation of Sustainable Composite Materials from Bio‐Based Domestic and Industrial Waste: Progress, Problems, and Prospects‐ A Review

Rehman,

Ullah,

Sajid

et al. 2024

Advanced Sustainable Systems

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Bio‐based waste from households and industries is a big problem for the world, however, turning it into valuable composite materials can offer a promising approach to deal with it. It involves the conversion of waste from different bio‐based sources such as cellulose waste from farming and forestry leftovers, chitin waste from seafood and mushrooms, and keratin waste from hair, nails, and feathers into natural fibers. These fibers are then effectively mixed with other materials to create composite materials having unique properties, such as high strength and stiffness, good thermal and electrical conductivity, and better barrier properties. Developing these materials is not just good for the environment because it reduces landfill waste and the reliance on non‐renewable resources, but it can also make economic sense for producers. In this review, the basic compounds of natural fibers and the development of composite materials from them are explored and discussed in detail. Furthermore, their chemical and mechanical properties are discussed and summarized. In the final section, a brief overview of the challenges and the future research needed in this fast‐evolving field is given.

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3D printing composite materials: A comprehensive review

Cited by 13 publications

References 106 publications

Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Future directions in ceramic additive manufacturing: Fiber reinforcements and artificial intelligence

Preparation of Sustainable Composite Materials from Bio‐Based Domestic and Industrial Waste: Progress, Problems, and Prospects‐ A Review

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