Design and Research of a Field Bus Control System Laboratory for Metal Mining, Beneficiation and Metallurgy DOI Open Access
Siyuan Wang,

Jiugang Lei,

Shan Hu

et al.

Processes, Journal Year: 2023, Volume and Issue: 11(9), P. 2665 - 2665

Published: Sept. 6, 2023

Fieldbus control systems play a pivotal role in industries such as mining, beneficiation, and metallurgy, facilitating precise process control. However, diverse conditions applications often lead to challenges during system implementation. The prevalence of projects underscores the need for dedicated laboratories address these problems. Our research delves into complexities systems, focusing on mainstream brands Siemens, Rockwell, Emerson, involving analysis network architectures, software, hardware configurations. Through rigorous testing real equipment we uncover prevalent issues practical applications. These findings guide resolution technical faced project control, concurrently enhancing design debugging prowess engineering professionals. We also anticipate trajectory intelligent manufacturing, embracing collaborative manufacturing aspects networked environments. This establishs robust foundation forthcoming generation technologies specific metal metallurgy.

Language: Английский

A comprehensive review on fillers and mechanical properties of 3D printed polymer composites DOI

Nishtha Arora,

Sachin Dua,

Vivek Kumar Singh

et al.

Materials Today Communications, Journal Year: 2024, Volume and Issue: 40, P. 109617 - 109617

Published: June 21, 2024

Language: Английский

Citations

12
Optimization of Process Parameters of Fused Filament Fabrication of Polylactic Acid Composites Reinforced by Aluminum Using Taguchi Approach DOI Creative Commons
Rezgar Hasanzadeh, Peyman Mihankhah, Taher Azdast

et al.

Metals, Journal Year: 2023, Volume and Issue: 13(6), P. 1013 - 1013

Published: May 24, 2023

The benefits of the fused filament fabrication (FFF) method, including its simplicity, affordability, and accessibility, have made it most commonly used additive manufacturing technique. Polylactic acid (PLA) is widely material in FFF, but use has been limited by low mechanical properties a small processing window. To address this, PLA composites are to improve properties. Correlating with process parameters crucial for producing high-quality composite parts. This study investigated effects on properties, such as tensile strength elongation-at-break, using customized Delta Rostock FFF printer. Two types filaments were used, pure PLA/Aluminum composites. Printing speed (10, 20, 30 mm/s) raster angle (0/90, −45/45, −30/60) selected input parameters. Taguchi method was experiment design, signal-to-noise ratio analysis statistical optimization. optimal values achieving maximum 61.85 MPa elongation-at-break 17.7% determined. Furthermore, indicated that type had greatest influence strength, whereas printing impact elongation-at-break.

Language: Английский

Citations

20
Prediction surface roughness of 3D printed parts using genetic algorithm optimized hybrid learning model DOI
Gazi Akgün, Osman Ülkir

Journal of Thermoplastic Composite Materials, Journal Year: 2024, Volume and Issue: 37(7), P. 2225 - 2245

Published: April 1, 2024

The final product of additive manufacturing (AM) or 3D printing critically depends on the surface quality. An experimental study printed intake manifold flange using acrylonitrile butadiene styrene (ABS) material was executed by varying four process parameters. A fused deposition modeling (FDM) based printer used to fabricate flanges. association between parameters and roughness ABS flanges investigated. feed forward neural network (FFNN) model trained particle swarm optimization (PSO) optimized with a genetic algorithm (GA) estimate roughness. Box-Behnken design (BBD) at three levels used, 25 parts were fabricated. suggested demonstrated coefficient determination (R 2 ) 0.9865 test values, mean root-mean-square-error (RMSE) 0.1231 after 500 times training for generalization. And also overfitting factor is 0.7110. This means that system could generalize. Comparing results from ANN, hybrid outperformed ANN in predicting values no overfitting. suggests GA PSO FFNN may be more suitable method estimating quality terms

Language: Английский

Citations

5
Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review DOI Open Access
Sabrine Ben Amor, Nessrine Elloumi, Ameni Eltaief

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(6), P. 1062 - 1062

Published: May 22, 2024

The additive manufacturing (AM) field is rapidly expanding, attracting significant scientific attention. This family of processes will be widely used in the evolution Industry 4.0, particularly production customized components. However, as complexity and variability increase, there an increasing need for advanced techniques to ensure quality control, optimize performance, reduce costs. Multiple tests are required processing variables specific equipment processes, achieve optimum conditions. application digital twins (DTs) has significantly enhanced manufacturing. A twin, abbreviated DT, refers a computer-generated model that accurately depicts real-world object, system, or process. DT comprises complete process, from initial conception phase final phase. It enables process continuously monitored, studied, optimized real time. emerged important tool industry. They allow manufacturers enhance improve product quality, decrease costs, accelerate innovation. development AM iterative continuous requires collaboration between domain experts, data scientists, engineers, teams guarantee accurate representation by twin. paper aims provide comprehensive analysis current state manufacturing, examining their applications, benefits, challenges, future directions.

Language: Английский

Citations

5
IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State DOI

Thomas Bleistein,

Moritz Paulus,

Kiran Gani

et al.

Applied Stochastic Models in Business and Industry, Journal Year: 2025, Volume and Issue: 41(1)

Published: Jan. 1, 2025

ABSTRACT The fourth industrial revolution has driven the emergence of Digital Twins (DTs) and Industrial Internet Things (IIoT) in manufacturing. However, use different definition led to varied interpretations inconsistent understanding DTs. Thus, by exploring gap between theoretical frameworks practical implementations IIoT‐based DTs manufacturing, this paper aims shed light on DT phenomenon considering historical evolution fundamental concepts Therefore, a systematic literature review was conducted assess ambiguity concerning DTs, particularly distinguishing architectures types. identifies manufacturing reviewing application‐oriented literature. As result subsequent classification, proposes hierarchical classification based communication dynamics (i.e., Uni‐directional Bi‐directional) information processing or non‐use machine learning). Conclusively, study comprehensive approach for thus contributes more consistent phenomenon. Moreover, discusses key findings, as well implications research practice. Finally potential avenues future are derived limitations discussed.

Language: Английский

Citations

0
Autonomous learning of digital twins for intelligent extrusion optimisation in MEX DOI
Arianna Rossi, Michele Moretti, Mario Luca Fravolini

et al.

Journal of Manufacturing Processes, Journal Year: 2025, Volume and Issue: 143, P. 321 - 334

Published: April 15, 2025

Language: Английский

Citations

0
Cost-effective sensor-based digital twin for fused deposition modeling 3D printers DOI
Kemel Shomenov, Md. Hazrat Ali, Nursultan Jyeniskhan

et al.

International Journal of Computer Integrated Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: May 13, 2025

Language: Английский

Citations

0
Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future DOI
Theodor Borangiu, Damien Trentesaux, Paulo Leitão

et al.

Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Language: Английский

Citations

9
Digital Twin Integration for Enhanced Control in FDM 3D Printing DOI
Sourabh Anand,

Manoj Kumar Satyarthi,

Pushpendra S. Bharti

et al.

Springer series in advanced manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 373 - 388

Published: Jan. 1, 2024

Language: Английский

Citations

1
Mobile robotics and 3D printing: addressing challenges in path planning and scalability DOI Creative Commons
Mohammad Rastegarpanah,

Mohammed Eesa Asif,

J.B. Butt

et al.

Virtual and Physical Prototyping, Journal Year: 2024, Volume and Issue: 19(1)

Published: Dec. 2, 2024

Mobile Additive Manufacturing (MAM) systems are transforming large-scale fabrication across various industries, particularly in building and construction. This review explores recent advancements ongoing challenges deploying mobile robots within dynamic additive manufacturing (AM) environments. A primary focus is placed on robots' path planning real-time navigation methods, identified as critical knowledge gaps that impact the accuracy of printing trajectories. AI-driven techniques, such deep learning reinforcement learning, presented promising solutions to these challenges, offering improvements trajectory optimisation, obstacle avoidance, multi-robot cooperation. However, significant obstacles remain, scaling up MAM operations while maintaining both precision efficiency. provides analysis current state robotic AM, outlines potential pathways for future research, underscores alignment technologies with Industry 4.0 objectives, emphasising need innovation unlock full robotics manufacturing.

Language: Английский

Citations

1