Print quality optimization in screen printing by AM and FM screening using Taguchi's Grey Relational Analysis technique by Soumen Basak, Saritha P.C, Kanai Chandra Paul

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Insights into geometric deviations of medical 3d-printing: a phantom study utilizing error propagation analysis by Lukas Juergensen, Robert Rischen, Julian Hasselmann, Max Toennemann, Arne Pollmanns, Georg Gosheger, Martin Schulze

“…The PrE was mainly influenced by the adhesion of the printed part to the build plate. Based on the experiments, the total error was calculated for an optimal and a worst-case parameter configuration. …”
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Optimization of design parameters and 3D-printing orientation to enhance the efficiency of topology-optimized components in additive manufacturing by Dame Alemayehu Efa, Dejene Alemayehu Ifa

“…Therefore, this method saves material and the time waste usually caused by trial and error by predicting the optimal 3D printing orientation and design parameters in providing more effective and intended results.…”
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Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

“…G-codes are essential in CNC systems, providing crucial instructions for controlling machine parameters and operations in manufacturing, including 3D printing. They may contain errors affecting product quality and increasing resource consumption. …”
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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 research investigates the optimization of key printing parameters like layer height, line width and print speed for PETG material by utilizing Box Behnken Design (BBD). …”
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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. …”
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Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography by Laihu Peng, Hao Fan, Yubao Qi, Jianqiang Li

“…An optimal solid ink density prediction model for lithographic offset printing is established, and the L*a*b* colorimetric values of CMY three-color prints are used as inputs for training through hyperparameter optimization of the model. …”
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Machine learning enhanced metal 3D printing: high throughput optimization and material transfer extensibility by Yuanjie Zhang, Cheng Lin, Yuan Tian, Jianbao Gao, Bo Song, Hao Zhang, Min Wang, Kechen Song, Binghui Deng, Dezhen Xue, Yonggang Yao, Yusheng Shi, Kun Kelvin Fu

“…However, the intricate interplay between laser and metal powders poses a significant challenge for conventional trial-and-error optimization. Meanwhile, the “optimized” yet fixed parameters largely limit possible extensions to new designs and materials. …”
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Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network by Chun-Ling Ho, Zhiyun Wu, Tung-Chiung Chang, Shenjun Qi

“…Further validation with ten sets of test samples demonstrated that the model attained an average absolute error of 2.77% in print quality predictions, indicating robust generalization capabilities and precise forecasting.…”
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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. …”
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Compressive performance of 3D-printed lightweight structures: Infill pattern optimization via Multiple-Criteria Decision Analysis method by Cristina Vălean, Emanoil Linul, Dipen Kumar Rajak

“…Finally, the dimensional accuracy of all MEX-printed specimens was exceptionally high, with dimensional relative errors below 0.15 %.…”
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Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…This model then serves as a surrogate for the manufacturing process: predicting optimal process parameters for achieving a target geometry, e.g., the 2D geometry of each printed layer. …”
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Effect of orthotropy and printing patterns on the bending performance of 3D printed concrete grid components by Zhaohui Chen, Ziyi Yue, Wangdui Gerong, Zhenyue Wang, Xiaoyue Zhang, Hongyu Zhao, Minmao Liao

“…Crucially, interfacial damage remained absent prior to structural failure, demonstrating that optimized printing patterns can mitigate anisotropy effects. …”
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Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network by Anita Ghandehari, Jorge A. Tavares-Negrete, Jerome Rajendran, Qian Yi, Rahim Esfandyarpour

“…A key challenge in this domain is optimizing process parameters—applied pressure, ink concentration, nozzle diameter, and printing velocity—to achieve uniform, high-quality prints with the desired filament diameter. …”
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Thermo-elastic topology optimization and experimental characterization for multiphase structure with high thermal stiffness invariability by Yiming Fan, Guangkai Wei, Yuan Chen

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3D-printed prosthetic foot design: Mechanical similarity and testing by Ana María Gómez-Amador, Carlos Pérez-Carrera, Leopoldo Prieto-Fernández, Higinio Rubio-Alonso

“…A cost-effective prototyping process was employed to minimize material waste and optimize testing through the application of dimensional analysis and scaling methodologies. …”
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Experimental and Numerical Study of a UAV Propeller Printed in Clear Resin by Mingtai Chen, Jacob Wimsatt, Tianming Liu, Tiegang Fang

“…This paper presents an experimental and numerical investigation of a 254 mm resin-printed propeller operating at rotational speeds between 3000 and 9000 RPM. …”
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Design optimization of a phase-change capacitive sensor for irreversible temperature threshold monitoring and its eco-friendly and wireless implementation by James Bourely, Danick Briand

“…The model predicted up to 51% capacitance variation for optimal coverage of the PCM after spreading over the IDE, which was validated experimentally within a 5% error. …”
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Biplanar Nulling Coil System for OPM-MEG Using Printed Circuit Boards by Mainak Jas, John Kamataris, Teppei Matsubara, Chunling Dong, Gabriel Motta, Abbas Sohrabpour, Seppo P. Ahlfors, Matti Hämäläinen, Yoshio Okada, Padmavathi Sundaram

“…Here, we developed a precise and reproducible manufacturing process by fabricating these coils on two-layer printed circuit boards (PCBs). Building on open-source software (bfieldtools), we developed a pipeline to determine the optimal current loops of 1.5 × 1.5 m² biplanar nulling coils, connected these loops into a continuous conducting path across PCB layers, and printed them as pairs of 1.5 × 0.75 m² PCBs, which were soldered and mounted on an aluminum frame. …”
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