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As an important component connecting and sealing the high-pressure fluid in the hydraulic pipeline, the reliability and stability of the aviation pipeline fittings are critical. The purpose of this paper is to better understand and analyze the multiple parameters influence on sealing characteristics of aviation pipeline fittings. This article significantly improves the accuracy of sealing contact state analysis based on multi-scale models. From the perspective of structural optimization, when the cone angle of ferrule is increased from 15° to 17°, the axial range of the sealing contact area is expanded by 0.03-0.06 mm, and the sealing area is increased by 14-28%. Increasing the cone angle of ferrule can improve the sealing contact area, but it is necessary to avoid pressure distribution degradation caused by excessive angle. The cone angle of the card sleeve should be 16°. In order to achieve a good sealing state of pipeline fittings, the yield strength of ferrule should be lower than the yield strength of pipeline. When the yield strength of ferrule is 90% to 95% of the yield strength of pipeline, a balance between uniform distribution of sealing contact pressure and effective sealing area can be achieved. This article clarifies the key influencing laws of the matching between the cone angle of ferrule and the yield strength of the material, providing data and theoretical basis for multi-objective optimization design of aviation pipeline fittings.
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http://dx.doi.org/10.1038/s41598-025-12472-y | DOI Listing |
Comput Struct Biotechnol J
August 2025
Institut de Recherche en Cancérologie de Montpellier (IRCM), Équipe Labellisée Ligue Contre le Cancer, INSERM U1194, Université de Montpellier, Institut régional du Cancer de Montpellier (ICM), Montpellier, France.
Digital twins (DTs) are emerging tools for simulating and optimizing therapeutic protocols in personalized nuclear medicine. In this paper, we present a modular pipeline for constructing patient-specific DTs aimed at assessing and improving dosimetry protocols in PRRT such as therapy. The pipeline integrates three components: (i) an anatomical DT, generated by registering patient CT scans with an anthropomorphic model; (ii) a functional DT, based on a physiologically-based pharmacokinetic (PBPK) model created in SimBiology; and (iii) a virtual clinical trial module using GATE to simulate particle transport, image simulation, and absorbed dose distribution.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Purpose: Removing water residual signals from MRS spectra is crucial for accurate metabolite quantification. However, currently available algorithms are computationally intensive and time-consuming, limiting their clinical applicability. This work aims to propose and validate two novel pipelines for fast water residual removal in MRS.
View Article and Find Full Text PDFActa Epileptol
September 2025
Department of Electronics Engineering, K. J. Somaiya School of Engineering (formerly K. J. Somaiya College of Engineering), Somaiya Vidyavihar University, Mumbai, 400077, Maharashtra, India.
Background: The detection of epileptic seizures is a crucial aspect of epilepsy care, requiring precision and reliability for effective diagnosis and treatment. Seizure detection plays a critical role in healthcare informatics, aiding in the timely diagnosis and management of epilepsy. The use of computational intelligence and optimization techniques has shown significant promise in improving the performance of automated seizure detection systems.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Basic and Clinical Neuroscience, King's College London, London SE1 7EH, UK.
This study investigates the feasibility of using a two-channel subcutaneous EEG device (SubQ) to detect and monitor PGES. The SubQ device, developed by UNEEG Medical A/S, offers a minimally invasive alternative to scalp EEG, enabling ultra-long-term monitoring and remote data analysis. We used annotated scalp EEG data and data from the SubQ device.
View Article and Find Full Text PDFPolymers (Basel)
August 2025
Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology, Beijing Jiaotong University, Beijing 100044, China.
Constitutive models and deformation behaviors for polymer materials have long been complex and are always a hot research focus. As a typical semi-crystalline polymer, polyethylene (PE) gas pipes exhibit pronounced nonlinearity, strain dependence, and time dependence during long-term service. Simple material models fail to capture the scale-dependent characteristics of the PE pipes, resulting in difficulties in accurately describing and simulating their deformation and damage behavior.
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