Comparison of mechanical properties of different 3D printing technologies by Awutsadaporn Katheng, Wisarut Prawatvatchara, Patcharanun Chaiamornsup, Tanapon Sornsuwan, Hathairat Lekatana, Jadesada Palasuk

“…Abstract This study evaluated and compared the mechanical properties of provisional 3D-printed polymers fabricated using three commonly used 3D printing technologies: stereolithography (SLA), digital light processing (DLP), and liquid crystal display (LCD). …”
Get full text

Scarf Adhesive Bonding of 3D-Printed Polymer Structures by Tiago F. R. Ribeiro, Raul D. S. G. Campilho, Ricardo F. R. Pinto, Ricardo J. B. Rocha

“…Additive manufacturing (AM) has swiftly emerged as a substitute for conventional methods such as machining and injection moulding. Its appeal is attributed to accelerated prototyping, improved sustainability, and the capacity to fabricate intricate shapes. …”
Get full text

3D Scanning in Repairing Tractor and Automobile Parts and Units by N. M. Yunusbaev

“…Research purpose To study the possibilities of 3D scanning technology, to improve the measuring accuracy of worn parts during fault finding, and to determine a rational way to restore them.Materials and methods The authors have carried out the entrance control using the Artec Eva Lite portable handheld 3D scanner with the Artec Studio software while finding faults in the worn crankshaft of the ZМZ­409 engine. …”
Get full text

Effect of 3D Printing Orientation on the Accuracy and Surface Roughness of Polycarbonate Samples by Paweł Turek, Anna Bazan, Marcin Bulicz

Get full text

Characterization of temporary and permanent 3D-printed crown and bridge resins by Roope Salonen, Sufyan Garoushi, Pekka Vallittu, Lippo Lassila

“…Two-body wear tests were conducted using a ball-on-flat configuration in a chewing simulator with 15,000 cycles, and wear depth was measured with a non-contact 3D optical profilometer. Disk-shaped specimens (n = 5/material) were prepared to measure translucency parameter, gloss and light penetration. …”
Get full text

Design and Implementation of Soft Robotic Gripper Using 3D Printing Technology by Tone Lerher, Primož Bencak, Suhaib Ebrahim, Marko Motaln, Darko Hercog

“…Automated warehouses rely on robotic systems for efficient order picking, yet object manipulation remains challenging due to variations in object shape, size, and material properties. This study focuses on the material selection for the holder of flexible robotic grippers using fused deposition modelling. …”
Get full text

3D-Printed soft pneumatic actuators: enhancing flexible gripper capabilities by Shivashankar Hiremath, Kevin Amith Mathias, Tae-Won Kim

“…This study investigates a unique semi-oval-shaped groove design, featuring a hollow 3D-printed structure made from soft material, and analyses its performance under varying pneumatic pressures. …”
Get full text

Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

“…Moreover, we introduce a novel geodesic heatmap that effectively captures the point distribution of 3D shapes, even in the presence of variations in scanning pose. …”
Get full text

3D Printing of cemented carbides: a review of techniques, defects, and post-processing by Chenyang Ma, Tianen Yang, Yaoqin Tang, Zhiyuan Zou, Zhiyuan Ma, Yu Cao, Jiahuan He, Ling Chen, Ting Chen, Ji Xiong

“…Despite their advantageous properties, poor machinability restricts the application of cemented carbides in manufacturing complex-shaped components. …”
Get full text

Application of 3D atom pair map in an attention model for enhanced drug virtual screening by Gina Ryu, Wankyu Kim

“…In this way, APM inherently captures the 3D shape of a compound, whereas other conventional representations do not, such as fingerprints, SMILES, and molecular graphs. …”
Get full text

A novel deep learning approach to classify 3D foot types of diabetic patients by Pui-ling Li, Qin-feng Xiao, Kit-lun Yick, Qi-long Liu, Li-ying Zhang

“…In this study, we propose a novel deep learning method based on DiffusionNet which incorporates a self-attention mechanism and external features to classify the foot types of diabetic patients into six categories by using simple 3D foot images directly. Our approach achieves a high accuracy of 82.9% surpassing existing machine and deep learning methods. …”
Get full text

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features by Mücahid Barstuğan

“…Here, we show that this limitation can be overcome by using 3D feature extraction and ranking methods. Brain tumor images obtained through 3D magnetic resonance imaging were used to classify high-grade and low-grade glioma in the BraTS 2017 dataset. …”
Get full text

Influence of forging conditions on the fatigue mechanisms of low alloy steels: a 3D study by Pablo Lorenzino, Jean-Yves Buffiere, Catherine Verdu

“…The 3D crack shapes are rationalized in terms of crack closure effects induced by the forging processes, close to the surface.…”
Get full text

Uncovering the Diagnostic Power of Radiomic Feature Significance in Automated Lung Cancer Detection: An Integrative Analysis of Texture, Shape, and Intensity Contributions by Sotiris Raptis, Christos Ilioudis, Kiki Theodorou

Get full text

Influence of forging conditions on the fatigue mechanisms of low alloy steels: a 3D study by Pablo Lorenzino, Jean-Yves Buffiere, Catherine Verdu

“…The 3D crack shapes are rationalized in terms of crack closure effects induced by the forging processes, close to the surface.…”
Get full text

Orthotic Design through 3D Reconstruction: A Passive-Assistance Ankle–Foot Orthotic by A. L. Darling, W. Sun

“…In addition to providing more information to clinicians, quantification of patient-specific data would allow rapid production of advanced orthotics, requiring machining rather than casting. This paper presents a supplemental method of orthotic design and fitting, through 3D reconstruction of medical imaging data to parameterise an orthotic design based on a major axis of rotation, shape of rigid components and placement of skin contact surfaces. …”
Get full text

3D Finite Element Analysis in Drilling of AA7075 Reinforced with Nano Silicon Carbide Particles by C. Prakash, J. Prakash

“…In addition, a 3D Finite Element Model (3D FEM) was developed to simulate the drilling process for understanding the influence of machining parameters on critical thrust forces, chip formation, chip morphology, stress and hole quality. …”
Get full text

3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy by Daniele Amparore, Alberto Piana, Federico Piramide, Sabrina De Cillis, Enrico Checcucci, Cristian Fiori, Francesco Porpiglia

“…Textures are created from intraoperative robotic surgery images using machine learning algorithms. The result is a 3D model ‐ digital twin that replicates the organ's shape and appearance. …”
Get full text

3D printed organohydrogel-based strain sensors with enhanced sensitivity and stability via structural design by Binbin Guo, Chengyu Lin, Haitao Ye, Yu Xue, Jiewen Mo, Jiawei Chen, Yangfeng Cui, Chenglong Fu, Jiaming Bai, Qi Ge, Hui Ying Yang

“…In this study, we designed and fabricated diamond-, grid-, and peanut-shaped organohydrogel based on positive, near-zero, and negative Poisson’s ratios using digital light processing (DLP)-based 3D printing technology. …”
Get full text

Development and Validation of a Computer Vision-Based Tool for Automated 3D Dental Model Arch Prediction by Juan David Tamayo Quintero, Juan Bernardo Gómez Mendoza, Sonia Victoria Guevara Pérez

“…This study introduces a computer vision-based tool for predicting arch shapes in 3D dental models.   Objective: To automate the selection of dental arch shapes through mathematical model analysis.  …”
Get full text