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      Advances in powder bed fusion 3D printing in drug delivery and healthcare

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      Advanced Drug Delivery Reviews
      Elsevier BV

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          Polymers for 3D Printing and Customized Additive Manufacturing

          Additive manufacturing (AM) alias 3D printing translates computer-aided design (CAD) virtual 3D models into physical objects. By digital slicing of CAD, 3D scan, or tomography data, AM builds objects layer by layer without the need for molds or machining. AM enables decentralized fabrication of customized objects on demand by exploiting digital information storage and retrieval via the Internet. The ongoing transition from rapid prototyping to rapid manufacturing prompts new challenges for mechanical engineers and materials scientists alike. Because polymers are by far the most utilized class of materials for AM, this Review focuses on polymer processing and the development of polymers and advanced polymer systems specifically for AM. AM techniques covered include vat photopolymerization (stereolithography), powder bed fusion (SLS), material and binder jetting (inkjet and aerosol 3D printing), sheet lamination (LOM), extrusion (FDM, 3D dispensing, 3D fiber deposition, and 3D plotting), and 3D bioprinting. The range of polymers used in AM encompasses thermoplastics, thermosets, elastomers, hydrogels, functional polymers, polymer blends, composites, and biological systems. Aspects of polymer design, additives, and processing parameters as they relate to enhancing build speed and improving accuracy, functionality, surface finish, stability, mechanical properties, and porosity are addressed. Selected applications demonstrate how polymer-based AM is being exploited in lightweight engineering, architecture, food processing, optics, energy technology, dentistry, drug delivery, and personalized medicine. Unparalleled by metals and ceramics, polymer-based AM plays a key role in the emerging AM of advanced multifunctional and multimaterial systems including living biological systems as well as life-like synthetic systems.
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            Clinical development success rates for investigational drugs.

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              Bone tissue engineering using polycaprolactone scaffolds fabricated via selective laser sintering.

              Polycaprolactone (PCL) is a bioresorbable polymer with potential applications for bone and cartilage repair. In this work, porous PCL scaffolds were computationally designed and then fabricated via selective laser sintering (SLS), a rapid prototyping technique. The microstructure and mechanical properties of the fabricated scaffolds were assessed and compared to the designed porous architectures and computationally predicted properties. Scaffolds were then seeded with bone morphogenetic protein-7 (BMP-7) transduced fibroblasts and implanted subcutaneously to evaluate biological properties and to demonstrate tissue in-growth. The work done illustrates the ability to design and fabricate PCL scaffolds with porous architecture that have sufficient mechanical properties for bone tissue engineering applications using SLS. Compressive modulus and yield strength values ranged from 52 to 67 MPa and 2.0 to 3.2 Mpa, respectively, lying within the lower range of properties reported for human trabecular bone. Finite element analysis (FEA) results showed that mechanical properties of scaffold designs and of fabricated scaffolds can be computationally predicted. Histological evaluation and micro-computed tomography (microCT) analysis of implanted scaffolds showed that bone can be generated in vivo. Finally, to demonstrate the clinical application of this technology, we designed and fabricated a prototype mandibular condyle scaffold based on an actual pig condyle. The integration of scaffold computational design and free-form fabrication techniques presented here could prove highly useful for the construction of scaffolds that have anatomy specific exterior architecture derived from patient CT or MRI data and an interior porous architecture derived from computational design optimization.
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                Author and article information

                Contributors
                Journal
                Advanced Drug Delivery Reviews
                Advanced Drug Delivery Reviews
                Elsevier BV
                0169409X
                July 2021
                July 2021
                : 174
                : 406-424
                Article
                10.1016/j.addr.2021.04.025
                33951489
                6c3af664-bcac-439d-ae69-43278d443b57
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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