Preface: a special selection on biomechanical applications in medical science - Part II

Electronic version of an article published as Journal of Mechanics in Medicine and Biology, Volume 21, Issue 10, 2021, 2102003:1-7, DOI 10.1142/S0219519421020036 © 2021 World Scientific Publishing Company https://www.worldscientific.com/doi/10.1142/S0219519421020036This special selection on Biomechanical Applications in Medical Science presents the ongoing and active research in the Biomechanics area. The overall goal is to summarize recent discoveries and groundbreaking studies that will account for new challenge research in the broad and relevant area of Biomechanics used for medical science.Peer ReviewedPostprint (published version

Preface: a special selection on biomechanical applications in medical science - Part I

This special selection on Biomechanical Applications in Medical Science presents the ongoing and active research in Biomechanics area. The overall goal is to summarize recent discoveries and groundbreaking studies that will account for new challenge research in the broad and relevant area of Biomechanics used for medical science.Peer ReviewedPostprint (published version

Preface: a special selection on biomechanics in medical application - Part II

Electronic version of an article published as Journal of Mechanics in Medicine and Biology, Volume 19, Issue 8, 2019, 1902004:1-8 DOI 10.1142/S0219519419020044 © 2019 World Scientific Publishing Company https://www.worldscientific.com/doi/abs/10.1142/S0219519419020044Part II of this special issue sums up the selections focusing on the Applications of Biomechanics in Medicine.Postprint (author's final draft

Preface: a special selection on biomechanics in medical applications - Part I

Electronic version of an article published as Journal of Mechanics in Medicine and Biology, Volume 19, Issue 7, 2019, 1902003:1-8, DOI 10.1142/S0219519419020032 © 2019 World Scientific Publishing Company https://www.worldscientific.com/doi/10.1142/S0219519419020032Part I of this special issue sums up the selections focusing on the Applications of Biomechanics in Medicine.Peer ReviewedPostprint (author's final draft

Kinematic, Dynamic, and Energy Characteristics of Diastolic Flow in the Left Ventricle

Blood flow characteristics in the normal left ventricle are studied by using the magnetic resonance imaging, the Navier-Stokes equations, and the work-energy equation. Vortices produced during the mitral valve opening and closing are modeled in a two-dimensional analysis and correlated with temporal variations of the Reynolds number and pressure drop. Low shear stress and net pressures on the mitral valve are obtained for flow acceleration and deceleration. Bernoulli energy flux delivered to blood from ventricular dilation is practically balanced by the energy influx and the rate change of kinetic energy in the ventricle. The rates of work done by shear and energy dissipation are small. The dynamic and energy characteristics of the 2D results are comparable to those of a 3D model

Parametric Study of Greitzer's Instability Flow Model Through Compressor System Using the Taguchi Method

The occurrence of stall and surge is caused by instability of the flow through the compressor system. These two phenomena often result in serious mechanical problems for the compressor. The scope of this article includes a review and parametric study on the characteristics of stall and surge and their mathematical modeling

Predicting cavitation erosion on two-stage pumps using CFD

Cavitation is a common problem that occurs in pumps which reduces its useful life and bring increased operating costs to the user. A study of cavitation erosion on a two-stage centrifugal pump has been carried out using Computational Fluid Dynamics (CFD). Most cavitation studies on pumps have been focused on modelling the severity of cavitation; specifically, on understanding its visual effects and performance penalties. Few works have been carried out to predict the most erosion-sensitive areas inside a pump. The focus of this study is on modelling the permanent damage that would be caused by cavitation and to identify specific areas within the pump which are most susceptible to erosion. The model is first validated against experimental data from another work. Once the simulation has been successfully calibrated, the cavitation simulation is carried out again with the subject pump. Not only does this work extend the findings previous works by predicting cavitation erosion on a two-stage pump, but the pump rotation speed is also varied to observe how the erosion-sensitive areas on the pump changes as a result. A specific focus on the Gray Level Method is carried out to predict the erosion damage on the pump. This technique is chosen as it has been experimentally proven with single-stage radial pumps, using specialized CFD code. It is found that the algorithm used to predict erosion when applied with commercial CFD packages, are useful in distinguishing areas inside the pump which are most vulnerable to erosion damage. The Scherr-Sauer cavitation model coupled with the κ-ω SST turbulence model have been used to run the cavitation simulations

ARBITRARY HYBRID TURBULENCE MODELING APPROACH FOR HIGH-FIDELITY NREL PHASE VIWIND TURBINE CFD SIMULATION

Today, growth in renewable energy is increasing, and wind energy is one of the key renewable energy sources which is helping to reduce carbon emissions and build a more sustainable world. Developed countries and worldwide organizations are investing in technology and industrial application development. However, extensive experiments using wind turbines are expensive, and numerical simulations are a cheaper alternative for advanced analysis of wind turbines. The aerodynamic properties of wind turbines can be analyzed and optimized using CFD tools. Currently, there is a general lack of available high-fidelity analysis for the wind turbine design community. This study aims to fill this urgent gap. In this paper, an arbitrary hybrid turbulence model (AHTM) was implemented in the open-source code OpenFOAM and compared with the traditional URANS model using the NREL Phase VI wind turbine as a benchmark case. It was found that the AHTM model gives more accurate results than the traditional URANS model. Furthermore, the results of the VLES and URANS models can be improved by improving the mesh quality for usage of higher-order schemes and taking into consideration aeroelastic properties of the wind turbine, which will pave the way for high-fidelity concurrent multidisciplinary design optimization of wind turbines

Machine Learning Techniques in Indoor Environmental Quality Assessment

This chapter provides a comprehensive exploration of the evolving role of machine learning in Indoor Environmental Quality (IEQ) assessment. As urban living spaces become increasingly enclosed, the importance of maintaining optimal IEQ for human health and well-being has surged. Traditional methods for IEQ assessment, while effective, often fail to provide real-time monitoring and control. This gap is increasingly being addressed by the integration of machine learning techniques, allowing for enhanced predictive modeling, real-time optimization, and robust anomaly detection. The chapter delves into a comparative analysis of various machine learning techniques including supervised, unsupervised, and reinforcement learning, demonstrating their unique benefits in IEQ assessment. Practical implementations of these techniques in residential, commercial, and specialized environments are further illustrated through detailed case studies. The chapter also addresses the existing challenges in implementing machine learning for IEQ assessment and provides an outlook on future trends and potential research directions. The comprehensive review offered in this chapter encourages continued innovation and research in leveraging machine learning. for more efficient and effective IEQ assessment

Healthcare Engineering Defined: A White Paper

Engineering has been playing an important role in serving and advancing healthcare. The term "Healthcare Engineering" has been used by professional societies, universities, scientific authors, and the healthcare industry for decades. However, the definition of "Healthcare Engineering" remains ambiguous. The purpose of this position paper is to present a definition of Healthcare Engineering as an academic discipline, an area of research, a field of specialty, and a profession. Healthcare Engineering is defined in terms of what it is, who performs it, where it is performed, and how it is performed, including its purpose, scope, topics, synergy, education/training, contributions, and prospects