Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

This paper examines the temperature distribution in a closed, rectangular room equipped with an air conditioning system, employing computational fluid dynamics model to simulate virtual thermal camera that captures detailed snapshots. A super-resolution framework enhances postprocessing of these results. Specifically, convolutional neural networks, trained on simulation data, are used accurately fields' high-resolution spatial and temporal evolution. The demonstrates strong performance by reconstructing profiles from low-resolution inputs obtained filtering data using numerical simulations, quantitative metrics indicating acceptable accuracy for resolutions reduced up 50 times. effectively aligns ground truth under various conditions. These results underscore model's potential transform environmental monitoring smart buildings complex structures generating maps cameras or limited sensor input. approach offers fast, cost-effective, reliable method modeling within turbulent flow environments interior spaces.

Language: Английский

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Enhancing operational efficiency and compliance through ventilation system designs in radiopharmaceutical facilities

Australian Journal of Mechanical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: April 30, 2025

Language: Английский

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Covering Sterile Instrument Tables to Prevent Airborne Bacterial Contamination and Surgical Wound Infections: A Narrative Review of Operating Room Nursing Practices

Perioperative Care and Operating Room Management, Journal Year: 2025, Volume and Issue: 39, P. 100495 - 100495

Published: April 23, 2025

Language: Английский

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Full-scale evaluation of FFU configurations in an optical cleanroom injection molding for improving thermal performance and contaminant removal

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 105076 - 105076

Published: Sept. 1, 2024

Cleanrooms are critical in the semiconductor industry, particularly for optical fabrication, where even minor contamination can compromise product quality. Effective airflow and uniform distribution help to prevent contaminant accumulation, mitigate temperature variations, avoid cross-contamination, which is crucial achieving high-quality results compliance with industry standards. This study introduces a novel approach optimizing Fan Filter Unit (FFU) configurations enhance thermal performance removal cleanroom settings. Integrating field measurements advanced Computational Fluid Dynamics (CFD) simulations comprehensively evaluate four distinct FFU designs, from dispersed centralized configurations, focused on their impact dynamics, uniformity, particle concentration. The identifies significant advancement configuration by demonstrating that arrangements (Designs 2 4) substantially improve performance. Design 4 emerged as most effective, showcasing marked improvement circulation, 12% reduction variation, 15% decrease concentration compared conventional designs. achievement underscores contribution of this both control. These findings not only advance theoretical understanding design but also provide practical insights improving environments. offers step forward developing efficient contributing valuable guidelines good environmental control sensitive manufacturing processes.

Language: Английский

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Research on Ultra-Clean Micro Gas Flow Calibration Technology of Passive Piston Type with Sealing

Flow Measurement and Instrumentation, Journal Year: 2024, Volume and Issue: 100, P. 102735 - 102735

Published: Nov. 9, 2024

Language: Английский

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