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Publications - 6674

Nonlinear kinematic impacts on nanofluid flow across rough surface with numerical simulation

Dil Nawaz Khan None Hashim Assmaa Abd-Elmonem Hijaz Ahmad Maimoona Karim Abbas Khan Muhammad Zubair Mawadda E.E. Abulhassan Adnan Khan Dil Nawaz Khan

Publication Name: Scientific Reports

Publication Date: 2025-12-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

The current study demonstrates the intricate thermo-solutal transportation features of a nanofluid experiencing non-linear kinematics as it flows across a rough porous stretched interface. Previous work has typically been limited to smooth geometries, narrow parameter ranges, and few physical intuitions. However, this paper extends the analysis to include surface roughness, porosity effect, nonlinear stretching and essential physical phenomena like effect of magnetic field, Brownian motion special case thermophoresis effect and variable suction/injection. The resulting extension does not only reproduce realistic flow cases, but reveals extremely sensitive solution behaviors that have been completely untouched in the literature. Using scaling transformation approach, the governing non-linear partial differential equations (PDEs) for the transport of momentum, energy, and solutal in the transformed independent variables are translated into a set of coupled ordinary differential equations (ODEs). Numerical simulation of the above transport equations with ten dimensionless parameters is done using the MATLAB BVP4C (built in solver) approach, which ensures computational stability and high precision across broad parametric domains. Additionally, using an expanded parameter domain revealed previously unknown solution properties. For instance, as the thermophoretic limitation raised, the species concentration rose by 5% and fell by 12%. Additionally, sensitivity was demonstrated by the velocity profiles shifting by 20% in response to a small variation in the slip parameter. Finding the limits at which qualitatively reactions to system modifications and other non-physical solutions arise from the qualitative responses is notably innovative. Such findings will propel the development of more efficient coatings and temperature control techniques, offering helpful advice to greatly improve transportation effectiveness in actual nanofluid applications.

Open Access: Yes

DOI: 10.1038/s41598-025-27743-x

System-Level Harmonic NVH Engineering in Electric Drivetrains: A State-of-the-Art Review from Gear Microgeometry to Sound Branding

Krisztián Horváth

Publication Name: World Electric Vehicle Journal

Publication Date: 2026-05-01

Volume: 17

Issue: 5

Page Range: Unknown

Description:

Electric vehicles (EVs) have fundamentally changed the noise, vibration, and harshness (NVH) landscape of automotive powertrains. In the absence of masking internal-combustion-engine noise, harmonic components such as gear whine, electric-motor orders, and inverter-related tones become more perceptible and more critical to vehicle refinement. This review synthesizes the current state of the art in harmonic NVH engineering for electric drivetrains, focusing on the interactions between gear geometry, manufacturing variability, electromechanical coupling, structural transfer, and human sound perception. Classical mechanisms of gear-mesh excitation are revisited together with emerging EV-specific challenges, including long-wavelength flank deviations, ghost orders, lightweight housing dynamics, and psychoacoustic sound-quality requirements. The review further examines recent progress in predictive and data-driven approaches, including machine-learning-based gear-noise modeling, digital-twin concepts, and virtual NVH assessment workflows. Overall, the literature shows that harmonic NVH engineering in EVs is evolving from a conventional gear-noise problem into a multidisciplinary system-level task integrating gear dynamics, manufacturing science, structural acoustics, electric-drive control, psychoacoustics, and data-driven optimization. This review provides a structured synthesis of these developments and identifies key research gaps and future directions for the next generation of refined electric drivetrains.

Open Access: Yes

DOI: 10.3390/wevj17050240

A new species of Landouria from Thailand, with a deep umbilical groove (Gastropoda, Stylommatophora, Camaenidae)

Chanidaporn Tumpeesuwan Barna Páll-Gergely Sakboworn Tumpeesuwan

Publication Name: Ecologica Montenegrina

Publication Date: 2025-08-15

Volume: 89

Issue: Unknown

Page Range: 161-168

Description:

Landouria canalifera Páll-Gergely, Tumpeesuwan & Tumpeesuwan sp. nov. is described from Koh Samui, southern Thailand. It is characterized by a deep groove inside the umbilicus on the last ca. 1.5 whorls, corresponding with a columellar fold in the aperture. Also, there is a basal apertural tooth, corresponding with a shallow groove on the basal side of the shell just behind the peristome. These two barriers form a shallow canal in the aperture. Although the reproductive anatomy of this new species is not known, it probably belongs to the genus Landouria, which is widespread in Thailand and in the neighboring countries.

Open Access: Yes

DOI: 10.37828/em.2025.89.9

Kriging-Assisted Multi-Objective Optimization Framework for Electric Motors Using Predetermined Driving Strategy

Peter Koros Gyorgy Istenes Zoltan Pusztai Ferenc Friedler Zoltán Horváth

Publication Name: Energies

Publication Date: 2023-06-01

Volume: 16

Issue: 12

Page Range: Unknown

Description:

In this paper, a multi-objective optimization framework for electric motors and its validation is presented. This framework is suitable for the optimization of design variables of electric motors based on a predetermined driving strategy using MATLAB R2019b and Ansys Maxwell 2019 R3 software. The framework is capable of managing a wide range of objective functions due to its modular structure. The optimization can also be easily parallelized and enhanced with surrogate models to reduce the runtime. The framework is validated by manufacturing and measuring the optimized electric motor. The method’s applicability for solving electric motor design problems is demonstrated via the validation process. A test application is also presented, in which the operating points of a predetermined driving strategy provide the input for the optimization. The kriging surrogate model is used in the framework to reduce the runtime. The results of the optimization and the framework’s benefits and drawbacks are discussed through the provided examples, in addition to displaying the properly applicable design processes. The optimization framework provides a ready-to-use tool for optimizing electric motors based on the driving strategy for single- or multi-objective purposes. The applicability of the framework is demonstrated by optimizing the electric motor of a world recorder energy-efficient race vehicle. In this application, the optimization framework achieved a 2% improvement in energy consumption and a 9% increase in speed at a rated DC voltage, allowing the motor to operate at desired working points even with low battery voltage.

Open Access: Yes

DOI: 10.3390/en16124713

Simulation of the Water Balance of a Green/Blue Roof Supporting an Ecological Cycle

Melinda Menyhártné Baracskai Ádám Hadas-Rapi Béla Író

Publication Name: Strojnicky Casopis Journal of Mechanical Engineering

Publication Date: 2024-05-01

Volume: 74

Issue: 1

Page Range: 83-90

Description:

In our article, we set out the inspection of the control shafts of the green or blue roof drainage equipment aim. The height of the water formed on the roof through the differently shaped holes on the devices we want to specify the amount of water flowing through per unit of time. In the first case, the water level is constant, and in the second, the height of the water decreases or increases continuously.

Open Access: Yes

DOI: 10.2478/scjme-2024-0009

Bird–Borrelia Interactions: A Historical Review and Their Significance for Human Disease Ecology

András P. Bózsik Dömötör M. László Borisz Egri

Publication Name: Microorganisms

Publication Date: 2026-05-01

Volume: 14

Issue: 5

Page Range: Unknown

Description:

Research increasingly identifies wild birds, particularly long-distance migratory species, as epidemiologically relevant hosts and vectors for tick-borne Borrelia species that pose risks to both avian and human health. This review contextualizes avian-associated Borrelia research historically and microbiologically, showing the role of avian hosts in the ecology of agents causing relapsing fever and Lyme borreliosis. We identify key publications that trace the evolution of Borrelia research—from early microscopic observations of spirochetes to the modern molecular and serological evidence. The review collects literature on the process by which Borrelia gained early scientific attention due to its characteristic morphology and elevated bloodstream concentrations during septicemic phases, which enabled early etiological links between the microbe and disease. It follows the recognition of avian spirochetosis caused by Borrelia anserina and charts the shift in focus after the discovery of Borrelia burgdorferi sensu lato (Subgen. novum recomm. Borreliella, Lyme-group Borrelia). Publications listed show that birds can transport infected human-parasitic ticks over long distances and, in certain bird species, selectively amplify Lyme-group Borrelia species, especially Borrelia garinii, which has the highest temperature tolerance and is thus potentially viable in avian hosts. The literature supports the role of birds in maintaining and disseminating Borrelia infections and infected ticks across continents.

Open Access: Yes

DOI: 10.3390/microorganisms14051096

How Perceptual Variables Influence the Behavioral Intention to Use Autonomous Vehicles †

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The rapid development of technology makes the acceptance of autonomous vehicles (AVs) in modern transport a key issue. The aim of the present research was to explore the impact of AVs on behavioral intention to use. An online survey was conducted, in which factors such as perceived usefulness (PU), perceived ease of use (PEU), perceived trust (PT), social influence (SI), and behavioral intention to use (BIU) were investigated. As a result of the investigation, the correlation analysis revealed that there was a significant positive relationship between the intention and all the factors examined. The practical utility of this research is that the results will support developers and vehicle manufacturers in understanding how different social factors influence the adoption of AVs.

Open Access: Yes

DOI: 10.3390/engproc2024079023

Overall Equipment Effectiveness-Related Assembly Pattern Catalogue based on Machine Learning

Jósvai János Péter Dobra

Publication Name: Manufacturing Technology

Publication Date: 2023-06-01

Volume: 23

Issue: 3

Page Range: 276-283

Description:

Nowadays, a lot of data is generated in production and also in the domain of assembly, from which different patterns can be extracted using machine learning methods with the support of data mining. With the help of the revealed patterns, the assembly operations and processes can be further optimized, thus the profit achieved can be increased. This article attempts to explore the patterns related to the most used Key Performance Indicator (KPI) in manufacturing, the Overall Equipment Effectiveness (OEE) metric. The patterns and relationships discovered will be sorted into Assembly Pattern Catalogue (APC). Firstly, a literature review demonstrates scientific relevance. Secondly, it examines the circumstances and methods of samples in the Manufacturing Execution System (MES) data source and Enterprise Resource Planning (ERP) systems. In the third section, the detailed pattern catalogue is defined in the area of assembly. The novelty of the article is that beyond the generalization of patterns, it characterizes the pattern catalogue with mentioning practical industrial examples.

Open Access: Yes

DOI: 10.21062/mft.2023.036

Evaluation of water requirements of cattle

Tőzsér János Vertséné Zándoki Rita Mezőszentgyörgyi Dávid Kosztolányiné Szentléleki Andrea Rita Vertséné Zándoki Andrea Kosztolányiné Szentléleki Dávid Mezőszentgyörgyi János Tőzsér

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2023-06-01

Volume: 145

Issue: 6

Page Range: 323-343

Description:

Due to the proven existence of climatic changes, a review on water needs of cattle is doubtlessly important. People increasingly like to be aware of the water footprint of different products. In this study, authors briefly surveyed the role of drinking water as a nutrient of cattle. Based on several international results, factors affecting water consumption of cattle–especially air and water temperatute–were presented. Water quality aspects, including calculation method of water quality index, were also discussed. Estimation (regression exuations) and instrumental measurement possibilities (digital systems) for water consumption of cattle were also presented, as well as several purification methods. As it was concluded, water is inevitably important in health status, welfare and thus, production of cattle. Professional literatures provide several data on the nutritional value of water. However, further comprehensive investigation would be worth to be carried out to collect exact information on water losses of cattle under different conditions. Effect of air and water temperature on water intake is well documented internationally, domestic research under Hungarian climate conditions could be helpful to breeders, as well as the development of a national water quality index. Digitalization can be a great support in collecting accurate data on feed and water intake of cattle under different conditions. Since clear water is not present in an unlimited amount, application and development of different purifying methods and technologies is of great importance, as well as inventing new possibilities for it.

Open Access: Yes

DOI: 10.56385/magyallorv.2023.06.323-343