3D printed fracture reduction guides planned and printed at the point of care show high accuracy – a porcine feasibility study by Andreas Hecker, Sophie C. Eberlein, Frank M. Klenke

“…This study aims to evaluate the accuracy of reduction if surgery is supported by 3D guides planned and printed at the point of care. Methods Ten porcine legs underwent computed tomography (CT) and 3D models of femur and tibia were built. …”
Get full text

Comparative study of interpretable and black-box machine learning for modeling mechanical and tribological properties of 3D-printed PLA/date pits composites by Ahmed Asker, Ahmed Fouly, Mohamed G. B. Atia, Hany S. Abdo, Omar Salah

“…Machine learning (ML) has revolutionized material science by providing powerful tools for modeling complex properties. This study investigates the comparative performance of interpretable and black-box ML techniques in modeling the mechanical and tribological properties of 3D-printed PLA composites blended with varying amounts of date pit particles. …”
Get full text

Transfer accuracy of partially enclosed single hard vacuum-formed trays with 3D-printed models for lingual bracket indirect bonding: A prospective in-vivo study. by Viet Anh Nguyen, Thuy Anh Nguyen, Hong Le Doan, Thi Hanh Pham, Bich Ngoc Doan, Thi Thanh Thuy Pham, Viet Hoang

“…<h4>Objective</h4>This study aims to evaluate the clinical transfer accuracy of partially enclosed single hard vacuum-formed trays based on three-dimensional (3D) printed models for lingual bracket indirect bonding.…”
Get full text

Thickness Model of the Adhesive on Spacecraft Structural Plate by Yanhui Guo, Peibo Li, Yanpeng Chen, Xinfu Chi, Yize Sun

Get full text

Dimensional Accuracy Analysis of Splined Shafts and Hubs Obtained by Fused-Deposition Modeling 3D Printing Using a Genetic Algorithm and Artificial Neural Network by Alin-Daniel Rizea, Cristina-Florena Banică, Tatiana Georgescu, Alexandru Sover, Daniel-Constantin Anghel

“…The optimization process resulted in an optimal set of printing conditions that minimize dimensional errors. …”
Get full text

Geometrical Analysis of 3D-Printed Polymer Spur Gears by Levente Czégé, Gábor Ruzicska

“…Knowing the data of the existing gear wheel, the CAD model was created, and based on this, samples of the gear were printed using various 3D printing machines. …”
Get full text

Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment by Cheongmin Lee, Youngjae Yu, Yeong-Hoon Noh, Ilyoung Oh, Jungje Ha, Jong-Gwan Yook

Get full text

Predicting the long-term viscoelastic response by short-term tests in polymers by Reza Afshar, Nikhil Ebi, Bilen Emek Abali

“…Then by using the inverse analysis, we obtain the best parameters, minimizing the error between the experiments and the predictive model. …”
Get full text

Computer‐Aided High Tibial Osteotomy—A Comparative Study of Commonly Used 3D Printing Technology and Navigation Application by Elvis Chun‐Sing Chui, Kyle Ka‐Kwan Mak, Randy Hin‐Ting Ng, Ericsson Chun‐Hai Fung, Mei‐Shuen Chan, Kai Yue, Lawrence Chun‐Man Lau, Clifford Long‐Fung Chan, Edmond Wing‐Fung Yau, Wei Zhao, Xiuyun Su, Jin Zhang, Jianglong Xu, Hongxun Sang, Guoxian Pei, Louis Wing‐Hoi Cheung, Sheung‐Wai Law, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung

“…This study compared different 3D printing techniques (fused deposition modeling, selective laser sintering, and direct metal laser sintering) and a navigation system for their suitability in assisting HTO surgeries. …”
Get full text

Variability in accuracy of prostate cancer segmentation among radiologists, urologists, and scientists by Michael Y. Chen, Maria A. Woodruff, Prokar Dasgupta, Nicholas J. Rukin

Get full text

A neural network-based model for assessing 3D printable concrete performance in robotic fabrication by Weijiu Cui, Dongsheng Ji, Liang Shen, Shiyong Su, Xinyu Shi, Jidong Liu, Zirui Bai, Yubo Sun, Jian Gong, Yaxin Tao

“…Based on experimental results, a back-propagation neural network (BPNN) model is developed and trained using multiple inputs, including flowability, setting time, extrusion width, printing height, compressive strength, and flexural strength, to predict optimal mixture proportions. …”
Get full text

Large-area OLED substrate printing path planning method based on multi-head GAT imitation learning to solve partitioned integer programming by Jiacong Xiong, Jiankui Chen, Yiqun Li, Xiao Yue, Yu Fu, Zhouping Yin

“…GIP-LASP provides partitioning rules and parallel modeling methods specifically for substrate misalignment angles, and proposes imitation learning based on a multi-head graph attention network on a SCIP solver, which is applied to the solution of the printing planning problem. …”
Get full text

Neuro-Fuzzy Model Evaluation for Enhanced Prediction of Mechanical Properties in AM Specimens by Emmanouil-Marinos Mantalas, Vasileios D. Sagias, Paraskevi Zacharia, Constantinos I. Stergiou

“…The predictive performance of the model was assessed with the root mean square error (RMSE) and coefficient of determination (R²) as evaluation metrics. …”
Get full text

Development of a 3D-Printed Chest Phantom with Simulation of Lung Nodules for Studying Ultra-Low-Dose Computed Tomography Protocols by Jenna Silberstein, Steven Tran, Yin How Wong, Chai Hong Yeong, Zhonghua Sun

Get full text

Laser induced forward transfer imaging using deep learning by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

Get full text

Design and Implementation of a Stock Purchase System for Printing Businesses Using the Waterfall Method by Mega Henia Br Ginting, Francka Sakti Lee

“…To address these challenges, this study proposes the design of a stock purchasing management application aimed at optimizing inventory tracking and enhancing operational efficiency within a printing shop. The system is developed using the Waterfall methodology, a structured software development model that helps minimize errors throughout the design process. …”
Get full text

Optimization of PETG 3D printing parameters for the design and development of biocompatible bone implants by M. Moeen Sultan, Tauseef Aized, M. Farooq, Saqib Anwar, Naseer Ahmad, Ambreen Tauseef, Fahid Riaz

“…The effectiveness of the RSM model was confirmed using the validation experiment, with errors less than 2%. …”
Get full text

FREE VIBRATION ANALYSIS IN INNOVATIVE 3D PRINTING SANDWICH PANAELS FOR AIRCRAFT STRUCTURE by Sadiq Emad Sadiq, Hayder Zuhair Zainy, Roaa Mohammed Muneer, Luay S. Al-Ansari

“…Experimental tests validated the finite element models with an error margin below 12%. The key parameters explored were spherical diameter (3-12mm), offset distance (10-33mm), and face thickness (1-5mm). …”
Get full text

Direct 3-D printing of complex optical phantoms using dynamic filament mixing by Rahul Ragunathan, Miguel Mireles, Edward Xu, Aiden Lewis, Morris Vanegas, Qianqian Fang

“…We have characterized the printed phantoms and observed an average error between 12%–15% compared to our linear-mixing model-predicted values. …”
Get full text

Optimization of SA-Gel Hydrogel Printing Parameters for Extrusion-Based 3D Bioprinting by Weihong Chai, Yalong An, Xingli Wang, Zhe Yang, Qinghua Wei

“…Comparative experiments showed the optimized parameters predicted by the model with a mean error of 5.15% for printing precision, which outperformed random sets. …”
Get full text