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Machine learning for 3D printed multi-materials tissue-mimicking anatomical models

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TLDR
In this article, a composite layering design was used to tune the shore hardness and compressive modulus of the polyjet-printed parts in an attempt to mimic the properties of human tissues.
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This article is published in Materials & Design.The article was published on 2021-12-01 and is currently open access. It has received 29 citations till now.

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Effects of carbon fibre reinforcement on the geometric properties of PETG-based filament using FFF additive manufacturing

TL;DR: In this paper , the authors evaluated the impact of carbon fiber addition to PETG filaments on the geometric properties of fused filament fabrication (FFF) manufactured parts by analyzing their dimensional accuracy, and surface roughness.
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Anomaly Detection in Fused Filament Fabrication Using Machine Learning.

TL;DR: In this article , an on-site monitoring system for extrusion-based 3D printers incorporating computer vision and object detection models to detect defects and make corrections in real-time was developed.
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A data-driven machine learning approach for the 3D printing process optimisation

TL;DR: This paper proposes a new data-driven machine learning platform for predicting optimised parameters of the 3D printing process from a model design to a complete product, based on multilayer perceptron and convolution neural network models.
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Deep-Learning-Based Microfluidic Droplet Classification for Multijet Monitoring.

TL;DR: In this article , a convolutional neural network (CNN)-based method was employed with optimized hyperparameters to classify the inkjet frames containing images captured with a CCD camera.
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Analysis and Performance of Fiber Composites

TL;DR: In this paper, the authors present an analysis of the properties of fiber-reinforced composites under different types of stress and failure modes, such as failure under longitudinal tensile loads, failure under transverse tensile load, and failure under In-Plane Shear Load.
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Skin thickness of Korean adults

TL;DR: Nearly 452 biopsies on 28 different regions of the normal skin of Korean men and women were performed, finding that thickness data may be useful in harvesting full- or split-thickness skin grafts.
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"Let's get physical": advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy.

TL;DR: The results suggest that physical models may hold a significant advantage over alternative learning resources in enhancing visuospatial and 3D understanding of complex anatomical architecture, and that 3D computer models have significant limitations with regards to 3D learning.
Journal ArticleDOI

Applications of 3D printing in cardiovascular diseases

TL;DR: 3D-printed models fabricated from CT, MRI, or echocardiography data provide the advantage of haptic feedback, direct manipulation, and enhanced understanding of cardiovascular anatomy and underlying pathologies, which is expected to have a broad influence in cardiovascular care and will prove pivotal for the future generation of cardiovascular imagers and care providers.
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Correction: Corrigendum: Efficient biosynthesis of a Cecropin A-melittin mutant in Bacillus subtilis WB700

TL;DR: In the original version of this Article, Hongfu Zhang was incorrectly affiliated with ‘Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100094, China’.
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