Effective software solutions for 4D printing: A review and proposal

Chung, Sungwook; Song, Sang Eun; Cho, Young Tae

doi:10.1007/s40684-017-0041-y

Cited by 34 publications

(8 citation statements)

References 62 publications

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“…Although the proposed reconstruction is designed for rectangular datasets, the method is general enough to reconstruct other non-symmetric or freeform shapes. Freeform surfaces are gaining widespread attention because of their utility despite their manufacturing and metrology challenges [15][16][17].…”

Section: Modal Data Processing For High Resolution Deflectometrymentioning

confidence: 99%

Modal Data Processing for High Resolution Deflectometry

Aftab

Burge

Smith

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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In this paper, we present a modal data processing methodology, for reconstructing high resolution surfaces from measured slope data, over rectangular apertures. One of the primary goals is the ability to effectively reconstruct deflectometry measurement data for high resolution and freeform surfaces, such as telescope mirrors. We start by developing a gradient polynomial basis set which can quickly generate a very high number of polynomial terms. This vector basis set, called the G polynomials set, is based on gradients of the Chebyshev polynomials of the first kind. The proposed polynomials represent vector fields that are defined as the gradients of scalar functions. This method yields reconstructions that fit the measured data more closely than those obtained using conventional methods, especially in the presence of defects in the mirror surface and physical blockers/markers such as fiducials used during deflectometry measurements. We demonstrate the strengths of our method using simulations and real metrology data from the Daniel K. Inouye Solar Telescope (DKIST) primary mirror.

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Section: Modal Data Processing For High Resolution Deflectometrymentioning

confidence: 99%

Modal Data Processing for High Resolution Deflectometry

Aftab

Burge

Smith

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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“…It is believed that both hardware devices and software algorithms ought to be majorized to accelerate elaborate program of 4D printed artificial bones with enhanced precision. [ 105 ] For example, a machine learning approach was be designed to achieve target shape shifting responses for active composite structures. [ 106 ] In addition, another preliminary machine learning model was be built to optimize specific printing parameters for extrusion printing of acellular Pluronic F127 bioink.…”

Section: Discussionmentioning

confidence: 99%

Harnessing 4D Printing Bioscaffolds for Advanced Orthopedics

Chen

Han

et al. 2022

Small

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The development of programmable functional biomaterials makes 4D printing add a new dimension, time (t), based on 3D structures (x, y, z), therefore, 4D printed constructs could transform their morphology or function over time in response to environmental stimuli. Nowadays, highly efficient bone defect repair remains challenging in clinics. Combining programmable biomaterials, living cells, and bioactive factors, 4D bioprinting provides greater potential for constructing dynamic, personalized, and precise bone tissue engineering scaffolds by complex structure formation and functional maturation. Therefore, 4D bioprinting has been regarded as the next generation of bone repair technology. This review focuses on 4D printing and its advantages in orthopedics. The applications of different smart biomaterials and 4D printing strategies are briefly introduced. Furthermore, one summarizes the recent advancements of 4D printing in bone tissue engineering, uncovering the addressed and unaddressed medical requirements. In addition, current challenges and future perspectives are further discussed, which will offer more inspiration about the clinical transformation of this emerging 4D bioprinting technology in bone regeneration.

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“…Existing tools for self-assembly simulation and printing parameter optimization includes Foundry from MIT’s Computer Science and Artificial Intelligence Lab, CANVAS software from Mosaic Manufacturing, Project Cyborg from Autodesk, and Monolith multi-material voxel software. Furthermore, programming tools such as Origamizer and E-Origami Systems can assist in the creation of complex origami shapes by assigning nodes, paths, edges, polygons, vertices and creases to the structures [ 82 ]. The collective use of this software is essential for producing 4D printed products, as shown in Figure 2 .…”

Section: Advancement In 4dpmentioning

confidence: 99%

Raw Materials, Technology, Healthcare Applications, Patent Repository and Clinical Trials on 4D Printing Technology: An Updated Review

Khan

Shabbir

et al. 2022

Pharmaceutics

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After the successful commercial exploitation of 3D printing technology, the advanced version of additive manufacturing, i.e., 4D printing, has been a new buzz in the technology-driven industries since 2013. It is a judicious combination of 3D printing technologies and smart materials (stimuli responsive), where time is the fourth dimension. Materials such as liquid crystal elastomer (LCE), shape memory polymers, alloys and composites exhibiting properties such as self–assembling and self-healing are used in the development/manufacturing of these products, which respond to external stimuli such as solvent, temperature, light, etc. The technologies being used are direct ink writing (DIW), fused filament fabrication (FFF), etc. It offers several advantages over 3D printing and has been exploited in different sectors such as healthcare, textiles, etc. Some remarkable applications of 4D printing technology in healthcare are self-adjusting stents, artificial muscle and drug delivery applications. Potential of applications call for further research into more responsive materials and technologies in this field. The given review is an attempt to collate all the information pertaining to techniques employed, raw materials, applications, clinical trials, recent patents and publications specific to healthcare products. The technology has also been evaluated in terms of regulatory perspectives. The data garnered is expected to make a strong contribution to the field of technology for human welfare and healthcare.

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Effective software solutions for 4D printing: A review and proposal

Cited by 34 publications

References 62 publications

Modal Data Processing for High Resolution Deflectometry

Modal Data Processing for High Resolution Deflectometry

Harnessing 4D Printing Bioscaffolds for Advanced Orthopedics

Raw Materials, Technology, Healthcare Applications, Patent Repository and Clinical Trials on 4D Printing Technology: An Updated Review

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