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In the emergency care field, early treatment of acute heart or respiratory failure has been a global concern. In severe cases, patients are frequently required to be on an extracorporeal membrane oxygenator (ECMO) life support. To make the ECMO system more compact and portable, we proposed a sequential flow-type centrifugal pump named the sequential flow pump (SFP). In this study, principle and basic properties of this novel blood pump were examined by computational fluid dynamic (CFD) analysis and an experimental model. In the SFP, fluid is given centrifugal force sequentially twice with a single closed impeller. This sequential pressurization mechanism enables high-pressure output without high impeller speed. To realize easy integration of a blood pump with an artificial lung, the inlet and outlet ports are located at lateral side and center of the pump, respectively, which is the reverse configuration of conventional centrifugal pumps. The computational model was composed for CFD analysis and the experimental model was developed for the experiment of the actual pump. For both models, dimension of the impeller and volute was designed to be equal. In the CFD analysis, the SFP could generate higher performance than the single pressurization model with the same rotational speed of the impeller. Basic property of the experimental model was very similar to that of the computational model. The results showed the possibility that the SFP would be more suitable for the compact ECMO system than conventional centrifugal pumps.
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http://dx.doi.org/10.1007/s10047-017-0959-4 | DOI Listing |
Med Eng Phys
October 2025
Department of Mechanical Engineering, University of Cape Town, 7701, South Africa; Centre for Research in Computational and Applied Mechanics (CERECAM), University of Cape Town, 7701, South Africa.
The usability and versatility of autoinjectors in managing chronic and autoimmune diseases have made them increasingly attractive in medicine. However, investigations into autoinjector designs require an understanding of the kinematic properties and fluid behaviour during injection. To optimise injection efficiency, this study develops a mathematical and computational fluid dynamics (CFD) model of an IM autoinjector by investigating the effects of viscosity, needle length, needle diameter, and medication volume on the injection process.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Class incremental learning (CIL) offers a promising framework for continuous fault diagnosis (CFD), allowing networks to accumulate knowledge from streaming industrial data and recognize new fault classes. However, current CIL methods assume a balanced data stream, which does not align with the long-tail distribution of fault classes in real industrial scenarios. To fill this gap, this article investigates the impact of long-tail bias in the data stream on the CIL training process through the experimental analysis.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China. Electronic address:
Background And Objective: The quantitative knowledge of the influence of the small airway disease on the functional changes in chronic obstructive pulmonary disease (COPD) patients has been severely limited.
Methods: This study presents an innovative patient-specific computational framework that integrates CT and OCT imaging data with multiscale computational fluid dynamics (CFD) analysis. A three-dimensional tracheobronchial tree is reconstructed from CT scans of a mild COPD patient, spanning from the central airway to the 4th generation bronchial bifurcations.
Acta Neurochir (Wien)
September 2025
Faculty of Medicine, The University of Queensland, Herston, QLD, 4006, Australia.
Background: Identifying haemodynamic factors associated with thin-walled regions (TWRs) of intracranial aneurysms is critical for improving pre-surgical rupture risk assessment. Intraoperatively, these regions are visually distinguished by a red, translucent appearance and are considered highly rupture prone. However, current imaging modalities lack the resolution to detect such vulnerable areas preoperatively.
View Article and Find Full Text PDFLangmuir
September 2025
School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, P. R. China.
In engineering applications where extreme environmental conditions are becoming increasingly prevalent, the dynamic behavior of liquid droplets on solid surfaces plays a vital role in determining system efficiency and reliability. Particularly in scenarios such as anti-icing, anticorrosion, and self-cleaning, the fabrication of micro/nanostructured surfaces with exceptional hydrophobic properties has emerged as a critical strategy. However, constrained by the technical limitations of current experimental equipment in microscale observation and the capture of transient droplet impact processes, the influence mechanism of statistical roughness parameters (skewness and kurtosis) on droplet bouncing remains underexplored.
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