Journal of Radiation Research and Applied Sciences最新文献

{"title":"Improving genetic variation, shelf-life and functional properties in Dioscorea esculenta (Lour) burk using recurrent irradiation","authors":"Kenneth E. Danso ,&nbsp;Wilfred Elegba ,&nbsp;Fidelis C.K. Ocloo ,&nbsp;Joyce Agyei-Amponsah ,&nbsp;Lawrence M. Aboagye ,&nbsp;Andrew Sarkodie-Appiah ,&nbsp;Elaine Azu ,&nbsp;Clement Annor ,&nbsp;Solomon Ayeboafo-Otu ,&nbsp;Kwamina Banson ,&nbsp;Alex Asumeng ,&nbsp;Jonathan O. Armah ,&nbsp;Seth W.N. Odartey Mills ,&nbsp;Wisdom S.K. Agbemavor ,&nbsp;Mavis Owureku-Asare ,&nbsp;Ernestina Asantewaa Ayeh ,&nbsp;Kenneth Fafa Egbadzor","doi":"10.1016/j.jrras.2025.101453","DOIUrl":"10.1016/j.jrras.2025.101453","url":null,"abstract":"<div><div>Ionising radiation has become an effective tool to generate novel genetic variation and reduce postharvest losses in roots and tuber crops. The present study investigated the effect of gamma irradiation and re-irradiation on growth and yield characters, shelf-life and functional characteristics of <em>Dioscorea esculenta</em>. Tubers of two accessions SO89021 and TA97166 were irradiated at 10, 20, or 30 Gy. The M₁V₁ population was replanted to produce the M₁V₂ population and the tubers harvested were re-irradiated at 30 or 40 Gy to induce sufficient genetic variation. At 12 months, M₂V₁ tubers were cured for two weeks before determination of proximate composition, physicochemical and functional properties. For the shelf-life study, selected tubers from M₂V₁ were re-irradiated at 0, 80, 100, or 120 Gy and monitored for rots, sprouts, and weight loss for 14 weeks. Initial irradiation at 0–30 Gy did not have a significant effect on the morphological traits of the plants. However, re-irradiation at 40 Gy decreased plant height, number of leaves, tuber weight, and length compared to the controls. The decrease in tubers in accession TA97166 resulted in a significant increase (p ≤ 0.05) in tuber weight and width at 40 Gy. Similarly, starch content, solubility, and swelling power of the flour decreased with increasing irradiation dose. Gamma irradiation significantly (p ≤ 0.05) affected the gelatinization viscosity, maximum viscosity and breakdown viscosity. This study demonstrated that gamma irradiation can improve tuber size and some functional properties of <em>D. esculenta</em>.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101453"},"PeriodicalIF":1.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical investigation of thermal radiation effects on chemical reactive flow of microbes in hybrid nanofluid over a rotating disk","authors":"Mouloud Aoudia ,&nbsp;Faiza Benabdallah ,&nbsp;Ansar Abbas ,&nbsp;Dana Mohammad Khidhir ,&nbsp;Dennis Ling Chuan Ching ,&nbsp;Abid Ali Memon ,&nbsp;Munawar Abbas ,&nbsp;Ilyas Khan ,&nbsp;Saba Liaqat ,&nbsp;Ahmed M. Galal","doi":"10.1016/j.jrras.2025.101435","DOIUrl":"10.1016/j.jrras.2025.101435","url":null,"abstract":"<div><div>This study employs numerical modelling to investigate the outcome of thermal radiation on chemical reactive flow of a hybrid nanofluid along a disk with oxytactic and gyrotactic microbes are examined. The heat generation and Stefan blowing impacts are taken into account. The hybrid (Diamond <span><math><mrow><mo>−</mo><mi>C</mi><msub><mi>o</mi><mn>3</mn></msub><msub><mi>O</mi><mn>4</mn></msub><mo>/</mo><msub><mi>H</mi><mn>2</mn></msub><mi>O</mi></mrow></math></span>) nanofluid flow model contains of nanoparticles of diamond <span><math><mrow><mo>(</mo><mrow><mi>N</mi><mi>D</mi></mrow><mo>)</mo></mrow></math></span>, Cobalt oxide (<span><math><mrow><mrow><mi>C</mi><msub><mi>o</mi><mn>3</mn></msub><msub><mi>O</mi><mn>4</mn></msub></mrow><mo>)</mo></mrow></math></span> dissolved in water. The constitutive equations, encompassing the solutal, energy, momentum, and gyrotactic microbes’ equations, are formulated and converted using the similarity approximation into a system of partial differential equations (PDEs). These resulting equations are then mathematically solved utilizing the Bvp4c method. There are many uses for the proposed model in the domains of engineering, biomedicine, and industry. Increased heat transmission is essential in the design of thermal management systems, such as cooling mechanisms in microelectronics. The study helps to understand fluid flow dynamics in lab-on-a-chip devices and biosensors in the biomedical industry. Microorganisms in the hybrid nanofluid flow also provide information about bioconvection processes, which is pertinent to microbial fuel cells and wastewater treatment. Additionally, the rotating disk configuration and Marangoni convection principles ensure accuracy and efficiency in industrial operations like coating technologies, thin-film deposition, and crystal growth.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101435"},"PeriodicalIF":1.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel attention-enhanced Multi-Task Deep learning for knee osteoarthritis (KOA) grading and localization in X-ray imaging of basketball players","authors":"Li Chen ,&nbsp;Zhanguo Su","doi":"10.1016/j.jrras.2025.101442","DOIUrl":"10.1016/j.jrras.2025.101442","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to develop and evaluate a novel attention-enhanced multi-task deep learning framework designed to automatically detect, grade, and localize the severity of knee osteoarthritis (KOA) in basketball players through X-ray imaging. The framework utilizes the Kellgren-Lawrence (KL) grading system, categorizing KOA severity into grades 1 to 4, to enhance diagnostic accuracy, reliability, and clinical applicability.</div></div><div><h3>Materials and methods</h3><div>The dataset consisted of 2135 knee X-ray images from basketball players, labeled with KL grades ranging from 1 (Normal) to 4 (Severe). The images were preprocessed using normalization and data augmentation techniques, such as rotations, flips, and intensity adjustments, to increase diversity and enhance model performance. YOLOv11, built on the YOLO framework, incorporated architectural improvements like enhanced feature pyramids, adaptive anchor thresholds, and attention mechanisms. These features allowed the model to simultaneously detect, classify, and locate pathological features. The model was trained for 500 epochs using a composite loss function that balanced the objectives of detection, classification, and localization. Hyperparameter tuning was used to optimize the learning rate, batch size, and anchor thresholds. The model's performance was evaluated using metrics like mean Average Precision (mAP), Intersection over Union (IoU), and classification measures such as precision, recall, accuracy, and F1 score on training, validation, and testing datasets.</div></div><div><h3>Results</h3><div>YOLOv11 achieved a final mAP of 97.23 % and IoU of 96.54 %, outperforming YOLOv10 (mAP: 95.58 %, IoU: 92.16 %) and YOLOv9 (mAP: 93.14 %, IoU: 90.12 %). The model also showed excellent classification performance, achieving an accuracy of 97.70 % on the training dataset, 96.22 % on the validation dataset, and 95.59 % on the testing dataset. It effectively identified KOA-related features with minimal errors, as shown by confusion matrices and t-SNE visualizations, which displayed clear clustering of KL grades.</div></div><div><h3>Conclusions</h3><div>YOLOv11 marks a significant step forward in the automated assessment of KOA, offering high precision, accuracy, and reliable localization. Its success with basketball players indicates its potential for use in other athletic populations and broader clinical applications.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101442"},"PeriodicalIF":1.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of nanoparticle radius and interparticle spacing on three-dimensional water-based gold nanofluid flow over a convectively heated extending sheet: A numerical study","authors":"Saima Noor","doi":"10.1016/j.jrras.2025.101417","DOIUrl":"10.1016/j.jrras.2025.101417","url":null,"abstract":"<div><div>Applications for the impacts of nanoparticle radius and interparticle spacing on nanofluid flow using gold nanoparticles may be found in several domains, such as advanced materials, microfluidics, and thermal management. A gold nanofluid flowing on a bidirectional expanding sheet is studied in this work, considering gyrotactic microorganisms, zero mass flux, convective limitations at the border, and other significant applications. It investigates the impression of nanoparticle radius and interparticle spacing on the flow system's overall dynamics. The heat and mass flow investigation also considers the Cattaneo-Christov flux model. To investigate the nanofluid flow, the effects of thermophoresis, Brownian motion, and chemical reaction are taken into consideration. The modeled equations are converted to dimension-free format using suitable variables and then solved by the homotopy analysis method (HAM). It has noticed as the outcome of this work that, with growth in porosity factor, inter-particle spacing factor, and magnetic factor both velocities are declined and escalated with an upsurge in nanoparticle radius. Thermal distributions have grown with increases in thermal Biot number, thermophoresis factors, and Brownian motion; but, with increases in thermal relaxation time factor, they have decreased. The greater Schmidt number, chemical reaction and mass relaxation time factors have declined the molar concentration distribution. Microorganisms' distribution of nanofluid has declined with an upsurge in bio-convective Lewis and Peclet numbers. A comparison of current work with published results has been conducted and a fine agreement has been observed amongst these results.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101417"},"PeriodicalIF":1.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational assessment of chemically reactive tangent hyperbolic ternary hybrid nanofluid and thermal radiation in a Darcy-Forchheimer regime","authors":"Ahmed M. Galal ,&nbsp;Asra Anjum ,&nbsp;S.S. Zafar ,&nbsp;M. Faizan ,&nbsp;A. Zaib ,&nbsp;Farhan Ali ,&nbsp;Umair Khan ,&nbsp;Samia Elattar ,&nbsp;Syed Modassir Hussain","doi":"10.1016/j.jrras.2025.101397","DOIUrl":"10.1016/j.jrras.2025.101397","url":null,"abstract":"<div><div>This inspection examines the irreversibility analysis of Darcy Forchheimer's flow of tangent hyperbolic tri-hybrid nanofluid through stretching sheets in convective heating conditions. Engine oil (EO) is considered the base fluid for the tri-hybrid nanoparticles containing alumina (<span><math><mrow><mi>A</mi><msub><mi>l</mi><mn>2</mn></msub><msub><mi>O</mi><mn>3</mn></msub></mrow></math></span>), copper (<span><math><mrow><mi>C</mi><mi>u</mi></mrow></math></span>), and titanium oxide (<span><math><mrow><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>). Thermal radiation, heat source/sink and chemical reaction have been encountered. The entropy generation is expressed as a result of friction in fluids, transfer of heat, and concentration diffusion. The constitution equations have been transmuted by using appropriate transformation. The transmuted equations have been tackled through a BVP4c technique. The influence of various physical variables on the velocity distribution, thermal field, concentration of nanoparticles, entropy generation, Bejan number, drag friction, heat, and mass transfer has been discussed graphically and in tabular form. An enhancement in the inertia coefficient and Weissenberg number shrinkages the profile of the velocity field. However, the thermal field is escalated for the larger magnitude of thermal radiation and Biot number. The entropy minimization and Bejan number augments with the boosting magnitude of the Brinkman number.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101397"},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of photon shielding properties and exposure buildup factors for various clay using Geant4 simulation and WinXCOM","authors":"Qing-Yu Meng,&nbsp;Meng-Xuan Xu,&nbsp;Hai-Tao Qu,&nbsp;Jing-Jing Xie","doi":"10.1016/j.jrras.2025.101409","DOIUrl":"10.1016/j.jrras.2025.101409","url":null,"abstract":"<div><div>Radiation shielding is an essential component for any radiation equipment and sites. In this study, Geant4 was used to simulate the mass attenuation coefficients (MACs) of nine clay, pink granite, sandstone and concrete under five gamma radioactive sources (²²Na, ⁵⁴Mn, ⁵⁷Co, ⁶⁰Co, and ¹³⁷Cs). Key shielding parameters, including the mean free path, half-value layer, radiation protection efficiency (RPE), and effective atomic number were calculated based on MACs. The simulated values were validated against the theoretical values of WinXCOM, with relative deviations ranging from −0.6% to +0.85%, demonstrating the reliability of Geant4 in evaluating the photon shielding ability. The exposure buildup factors were also calculated using the G-P fitting method, revealing a peak around 0.15 MeV and a penetration depth of 40 mfp. It depends on the incident photon energy, the penetration depth, the composition of the material and the photon interaction mechanism. Results of simulations and theoretical calculations show that bentonite and vermiculite have the best photon shielding performance at low and intermediate photon energies, while kaolinite and ball clay have the worst photon shielding properties. All clay with a thickness of 20 cm are sufficient to attenuate more than 99.7% of the incident photons from ⁵⁷Co and more than 90% of the incident photons from the other four radioactive sources. Compared to traditional shielding materials (concrete and sandstone), these clay provide comparable or superior shielding effectiveness, with RPE differences within ±6%. This study offers a theoretical basis for using clay as suitable, cost-effective alternatives for radiation shielding, with potential applications in nuclear safety, medical radiation protection, and space radiation shielding.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101409"},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements and challenges in CT image segmentation for COVID-19 diagnosis through augmented and virtual Reality: A systematic review and future perspectives","authors":"Kahina Amara ,&nbsp;Oussama Kerdjidj ,&nbsp;Mohamed Amine Guerroudji ,&nbsp;Nadia Zenati ,&nbsp;Naeem Ramzan","doi":"10.1016/j.jrras.2025.101374","DOIUrl":"10.1016/j.jrras.2025.101374","url":null,"abstract":"<div><div>This article presents a systematic exploration of the synergy between artificial intelligence (AI) and immersive technologies augmented reality (AR) and virtual reality (VR) in diagnosing Coronavirus disease 2019 (COVID- 19) using computerised tomography (CT) medical imaging. Prior reviews have separately tackled COVID-19 CT diagnosis, focusing extensively on image segmentation and classification tasks, often encompassing both CT and X-ray images. However, an integrated consideration of AI, immersive technologies, and CT image segmentation for COVID-19 diagnosis has been notably absent in existing literature. To bridge this gap, our analysis concentrates on methods merging CT image segmentation with AR and VR for COVID-19 diagnostics, leveraging prominent search engines and databases: Google, Google Scholar, IEEE Xplore, Web of Science, PubMed, ScienceDirect, and Scopus. Our in-depth examination furnished comprehensive insights from each selected research, revealing the promising potential of AI and immersive technologies in expediting COVID-19 diagnosis through process automation. The development of precise and rapid diagnostic models holds considerable promise for real-time clinical application, even though further research is imperative. This review categorises the literature on CT image segmentation employing AR and VR technologies, laying a solid foundation for future research endeavours in this promising intersection. The authors conducted an extensive analysis, focusing on methodologies that combine deep learning based CT image segmentation based on Deep Learning with AR and VR for COVID-19 diagnostics. The study outcomes highlight the transformative potential of Augmented Reality (AR) and Virtual Reality (VR) in enhancing healthcare delivery during the COVID-19 pandemic, particularly in aiding diagnosis and treatment planning. Furthermore, the widespread adoption of Artificial Intelligence (AI) and deep learning models has been proven to be instrumental in detecting COVID-19 infections from chest CT images, offering automated diagnostic solutions that streamline workflows, reduce patient contact, and improve efficiency for medical professionals. VR, AR and AI integration presents a promising avenue for advancing diagnostic precision and patient treatment strategies. However, the use of VR and AR in healthcare raises significant privacy and security concerns due to the handling of sensitive patient data, underscoring the need for robust regulatory frameworks to govern their application. Lightweight deep learning (DL) models facilitate efficient on-device processing, significantly enhancing their utility, scalability, and real-time deployment in resource-constrained environments. Together, these findings demonstrate the significant role of emerging technologies in addressing pandemic challenges, while highlighting the importance of addressing ethical and regulatory considerations.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101374"},"PeriodicalIF":1.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Second-order based ensemble machine learning technique for modelling river water biological oxygen demand (BOD): Insights into improved learning","authors":"A.G. Usman ,&nbsp;May Almousa ,&nbsp;Hanita Daud ,&nbsp;B.B. Duwa ,&nbsp;Ahmad Abubakar Suleiman ,&nbsp;Aliyu Ismail Ishaq ,&nbsp;S.I. Abba","doi":"10.1016/j.jrras.2025.101439","DOIUrl":"10.1016/j.jrras.2025.101439","url":null,"abstract":"<div><div>Generally, water bodies are composed of a small amount of organic matter that affects their quality for both domestic and industrial applications. Therefore, the current study involves modeling the Biological Oxygen Demand (BOD) using various physicochemical parameters. The study involves implementing different stand-alone, first-order, and second-order ensemble paradigms. Based on the quantitative and visualized results obtained from the current research, both stand-alone and first-order ensemble paradigms failed to model the BOD with reliable performance. Therefore, the current study proposed the first application of second-order ensemble machine for modelling BOD in the literature. The comparative performance of second-order ensemble paradigms indicates the strong ability of non-linear paradigms over linear methods. Whereby, 2′-AE with DC = 0.992, R = 0.996, RMSE = 0.136 and 2′-NNE with DC = 0.932, R = 0.966, RMSE = 0.248 depicts satisfactory and reliable performance in both the training and testing phases in modelling the BOD.</div><div>Therefore, the proposed technique can serve as a satisfactory approach for various hydrologists, policymakers, and decision-makers in the treatment of water from different water treatment plants.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101439"},"PeriodicalIF":1.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical analysis of radiation data using power unit moment exponential distribution","authors":"Ghadah Alomani ,&nbsp;Mohamed Kayid ,&nbsp;Ahmed Mohamed Elgazar","doi":"10.1016/j.jrras.2025.101432","DOIUrl":"10.1016/j.jrras.2025.101432","url":null,"abstract":"<div><div>This article introduces the Power unit moment exponential (PUME) distribution, a novel lifetime model designed explicitly for data confined to the interval [0,1]. The statistical properties of the PUME distribution are comprehensively analyzed, including moments, inverse moments, variance, skewness, kurtosis, hazard rate function, quantile function, Bonferroni and Lorenz curves, and the Rényi entropy measure. Various estimation techniques, such as maximum likelihood, least squares, weighted least squares, maximum product of spacings, Cramér-von Mises, Anderson-Darling, and right-tail Anderson-Darling methods, are explored. The model's applicability and performance are demonstrated through a simulation study and its application to two radiation datasets. Comparative analyses reveal that the PUME distribution outperforms existing models, underscoring its utility and effectiveness in modeling lifetime radiation data.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101432"},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrothermal investigation of ionized Darcy-Forchheimer power-law hybrid nanofluid flow considering modified Fourier's law","authors":"Rajib Gope ,&nbsp;S. Shaw ,&nbsp;M.K. Nayak ,&nbsp;Rifaqat Ali ,&nbsp;S. Nazari ,&nbsp;S. Mondal ,&nbsp;Ahmed M. Galal","doi":"10.1016/j.jrras.2025.101418","DOIUrl":"10.1016/j.jrras.2025.101418","url":null,"abstract":"<div><h3>Significance</h3><div>The study of ionized Darcy-Forchheimer power-law hybrid nanofluid flow has the potential to lead to the creation of more efficient heat transfer systems. This study of modified Fourier's law can aid in understanding the non-Fourier heat conduction effects, allowing for the development of more energy-efficient systems.</div></div><div><h3>Aim</h3><div>The primary objective of the present investigation is to study the hydrothermal behavior of ionized Darcy-Forchheimer power-law hybrid nanofluid flow, as well as effects of modified Fourier's law on the hybrid nanofluid's heat conduction behavior. Also, effects of ionization and Power-Law Index on hydrothermal behavior of hybrid nanofluid (HNF) have been investigated and a mathematical model capable of accurately predicting the hydrothermal behavior of the hybrid nanofluid has been developed.</div></div><div><h3>Assumption</h3><div>Under steady-state conditions, the HNF is assumed to be incompressible, laminar, with constant thermal conductivity and negligible radiation effects. It is assumed that the nanoparticles are evenly dispersed throughout base fluid and the porous medium can be described by Darcy-Forchheimer model.</div></div><div><h3>Research methodology</h3><div>We develop a mathematical model that incorporates the modified Fourier's law and Darcy-Forchheimer model to explain the hydrothermal behavior of ionized Darcy-Forchheimer PLHNF flow. The non-dimensional governing equations are solved numerically by bvp4c solver in MATLAB.</div></div><div><h3>Conclusion</h3><div>The velocity and temperature profiles are significantly affected by various parameters, and modified Fourier's law has a significant impact on heat conduction behavior in the nanofluid. The main results are that the radial, tangential, and axial velocities diminish from shear thinning to shear thickening for power law nanofluid (PLNF) and power law hybrid nanofluid (PLHNF). Enhanced magnetic field strength controls motion of both PLNF and PLHNF. Further, amplified hall and ion slip parameters enhance the heat transfer rate from the radially stretched surface for both PLNF and PLHNF.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 2","pages":"Article 101418"},"PeriodicalIF":1.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}