Additive Manufacturing Processes, Challenges and Applications: A Review

Azam, Farooq; Rani, Ahmad Majdi Abdul; Razak, Muhammad Al’Hapis Abdul; Ali, Sadaqat; Aliyu, Abdul’Azeez Abdu

doi:10.1007/978-3-030-67750-3_9

Cited by 5 publications

(4 citation statements)

References 18 publications

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Section: Vat Photopolymerizationmentioning

confidence: 99%

“…Finally, the structure is removed from the platform, cleaned, and put in a UV oven for further curing. [32,35,44] Compared to other techniques, the SLA process offers higher resolution and better surface quality since the resin curing does not depend on the particle size and nozzle characteristics such as in material extrusion-based technologies. Nonetheless, research utilizing the SLA technique to prepare monolithic structures for directly applying them in catalysis is limited due to the characteristics of the raw materials that restrict their use to low temperature and pressure operational conditions (Table S1, Supporting Information).…”

Section: Stereolithographymentioning

confidence: 99%

“…By means of the DMD set beneath the tank, a 2D image is projected into the build platform, curing the whole coat at once within a few seconds, it is even possible to simultaneously print more than one monolith, thus reducing the printing time while improving the precision. [44,62,63] The method continues by tilting the vat to separate the cured resin from the vat floor and then rising the platform one layer depth to print next layer, and so on until the object is finished. Besides, DLP allows controlling the light intensity distribution within the 2D image to attain heterogeneous cross-linking density along the layer.…”

Section: Digital Light Processingmentioning

confidence: 99%

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Revolutionizing Monolithic Catalysts: The Breakthroughs of Design Control through Computer‐Aided‐Manufacturing

Parra‐Marfil,

Pérez‐Cadenas,

Carrasco‐Marín

et al. 2024

Adv Materials Technologies

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Additive manufacturing (AM) presents a promising opportunity for the innovative design and production of structured catalytic materials. Given the critical role of catalysts in industrial catalytic processes, AM has the potential to contribute to the development of improved catalysts by reducing activation energy and enhancing selectivity. Conventional synthesis methods limit the choice of structural materials and composition for producing monoliths. Additionally, the deposition of catalytic compounds is also restricted by commonly applied techniques that may require prior coverage or treatments to improve adherence or do not achieve a homogenous coat. Moreover, production is limited to monoliths with straight and parallel channels. However, this format drives to laminar regime flow thus restricting the radial mass and heat transfer. Conversely, AM allows the production of a wider variety of compositions and more complex structures that have proven to rise their effectiveness by increasing reagents‐catalyst interaction, making catalytic processes more cost‐effective. Therefore, in this review an outline of the recent progress of AM methods in the development of monolithic catalysts is presented focusing on the requirements, advantages, and disadvantages of each technique, hence providing a practical overview of their novel opportunities to overcome current limitations in catalyst synthesis.

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Section: Vat Photopolymerizationmentioning

confidence: 99%

Section: Stereolithographymentioning

confidence: 99%

Section: Digital Light Processingmentioning

confidence: 99%

See 1 more Smart Citation

Revolutionizing Monolithic Catalysts: The Breakthroughs of Design Control through Computer‐Aided‐Manufacturing

Parra‐Marfil,

Pérez‐Cadenas,

Carrasco‐Marín

et al. 2024

Adv Materials Technologies

View full text Add to dashboard Cite

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“…Additive manufacturing (AM), also known as 3D printing, is a novel technological innovation, which involved building a bulk part using computer-aided design (CAD) model through layer by layer deposition of the metal melts [67,68]. Laser-based additive manufacturing (LAM) are AM processes, which utilizes laser source as the heat source and laser beam to rapidly melt metal powder.…”

Section: Introductionmentioning

confidence: 99%

Laser-based additive manufacturing of bulk metallic glasses: recent advances and future perspectives for biomedical applications

Aliyu

Panwisawas

Shinjo

et al. 2023

Journal of Materials Research and Technology

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Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective

Wu,

Xu,

Fang

et al. 2024

Arch Computat Methods Eng

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In the past three decades, biomedical engineering has emerged as a significant and rapidly growing field across various disciplines. From an engineering perspective, biomaterials, biomechanics, and biofabrication play pivotal roles in interacting with targeted living biological systems for diverse therapeutic purposes. In this context, in silico modelling stands out as an effective and efficient alternative for investigating complex interactive responses in vivo. This paper offers a comprehensive review of the swiftly expanding field of machine learning (ML) techniques, empowering biomedical engineering to develop cutting-edge treatments for addressing healthcare challenges. The review categorically outlines different types of ML algorithms. It proceeds by first assessing their applications in biomaterials, covering such aspects as data mining/processing, digital twins, and data-driven design. Subsequently, ML approaches are scrutinised for the studies on mono-/multi-scale biomechanics and mechanobiology. Finally, the review extends to ML techniques in bioprinting and biomanufacturing, encompassing design optimisation and in situ monitoring. Furthermore, the paper presents typical ML-based applications in implantable devices, including tissue scaffolds, orthopaedic implants, and arterial stents. Finally, the challenges and perspectives are illuminated, providing insights for academia, industry, and biomedical professionals to further develop and apply ML strategies in future studies.

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Additive Manufacturing Processes, Challenges and Applications: A Review

Cited by 5 publications

References 18 publications

Revolutionizing Monolithic Catalysts: The Breakthroughs of Design Control through Computer‐Aided‐Manufacturing

Revolutionizing Monolithic Catalysts: The Breakthroughs of Design Control through Computer‐Aided‐Manufacturing

Laser-based additive manufacturing of bulk metallic glasses: recent advances and future perspectives for biomedical applications

Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective

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