Multiple material additive manufacturing – Part 1: a review

Vaezi, Mohammad; Chianrabutra, Srisit; Mellor, B.G.; Yang, Shoufeng

doi:10.1080/17452759.2013.778175

Cited by 454 publications

(214 citation statements)

References 146 publications

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“…Example of a unit cell library [246] Researchers are working to overcome CAD and digitalization constraints by developing new data formats that can handle material related information. (For a review, see [333].) Multi-material capability has also been built into the AMF format.…”

Section: Constraints Associated With Cad and Digitalizationmentioning

confidence: 99%

“…It could also be used to produce custom laminates and composites. For a review on multimaterial AM, see [333]. …”

Section: Multi-materials Parts and Productsmentioning

confidence: 99%

“…Multi-material AM has been used to fabricate wrist splints [251][252] (Fig. 31), compliant mechanisms [223], art [248], integrated electronics [333], and more. Multi-material AM can be used to produce multi-material topology optimized structures like those described in [123][145] [266][338] [346].…”

Section: Multi-materials Parts and Productsmentioning

confidence: 99%

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Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry.Design, Manufacturing, Additive Manufacturing

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Section: Constraints Associated With Cad and Digitalizationmentioning

confidence: 99%

“…It could also be used to produce custom laminates and composites. For a review on multimaterial AM, see [333]. …”

Section: Multi-materials Parts and Productsmentioning

confidence: 99%

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Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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“…The key feature of our in-house developed solvent-based extrusion freeforming method is its unique nozzle design with minimum die land, and paste formulation, which allows us to make very uniform pastes quickly with an excellent extrudability and less nozzle jamming during extrusion. The additive nature of the process ensures minimal waste of biomaterial and renders it suitable for mass production of porous bioactive structures [33] , and micro-scale woodpile structures [34] for use as scaffolds. The printed HA scaffolds were highly uniform which makes the overall process very consistent and repeatable for further use in compression moulding process.…”

Section: Discussionmentioning

confidence: 99%

A novel bioactive PEEK/HA composite with controlled 3D interconnected HA network

Vaezi¹,

Yang²

2024

IJB

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Polyetheretherketone (PEEK) is a high-performance thermoplastic biomaterial which is currently used in a variety of biomedical orthopaedic applications. It has comparable tensile and compressive strength to cortical bone with favourable biocompatibility. However, natural grade PEEK-OPTIMA has shown insufficient bioactivity and limited bone integration. Bioactive PEEK composites (e.g., PEEK/calcium phosphates or Bioglass) and porous PEEK have been used to improve bone-implant interface of PEEK-based devices, but the bioactive phase distribution or porosity control is poor. In this paper, a novel method is developed to fabricate a bioactive PEEK/hydroxyapatite (PEEK/HA) composite with a unique configuration in which the HA (bioactive phase) distribution is computer-controlled within a PEEK matrix. This novel process results in complete interconnectivity of the HA network within a composite material, representing a superior advantage over alternative forms of product. The technique combines extrusion freeforming, a type of additive manufacturing (AM), and compression moulding. Compression moulding parameters, including pressure, temperature, dwelling time, and loading method together with HA microstructure were optimized by experimentation for successful biocomposite production. PEEK/HA composites with a range of HA were produced using static pressure loading to minimise air entrapment within PEEK matrix. In addition, the technique can also be employed to produce porous PEEK structures with controlled pore size and distribution.

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“…[19][20][21][22] In spite of showing promise in engineering efficiency, the mesostructure in engineering materials has rarely been a pure result of computational design, but is a compromise between the design ideal and manufacturing constraints. Thanks to the recent progress in advanced manufacturing, especially multi-material additive manufacturing, [23][24][25][26][27] mesostructure control is becoming available for a wide variety of materials, including polymers, metals, and composites. [28][29][30][31][32] Figure 1 shows two types of mesoscale heterogeneous material systems readily fabricated by multi-material additive manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Mesoscale design of heterogeneous material systems in multi-material additive manufacturing

et al. 2017

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Mesoscale heterogeneous material systems are efficient and adaptive to real world environments, owing to the non-uniform stress fields that result from the convolution of component geometries, loading conditions, and environmental changes. With the advent of multi-material additive manufacturing, the production of heterogeneous material systems with a pre-defined mesoscale material distribution becomes feasible. This unlocks the design freedom at a characteristic length scale between the macroscale geometry and microstructures, but also calls for a new design framework to optimize the mesoscale material distribution in multi-material additive manufacturing. Here, we propose and demonstrate such a design framework by incorporating digital image correlation-based deformation mapping with 3D finite element modeling-based computational optimization. The constitutive behavior of each constituent material or their mixtures is calibrated by matching the local deformation data. The optimal mesoscale material distribution can then be determined using global optimization algorithms and validated experimentally.

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Multiple material additive manufacturing – Part 1: a review

Cited by 454 publications

References 146 publications

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

A novel bioactive PEEK/HA composite with controlled 3D interconnected HA network

Mesoscale design of heterogeneous material systems in multi-material additive manufacturing

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