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NUMERICAL EXPLORATION OF CHEMICAL REACTION AND JOULE HEATING EFFECTS ON THE DYNAMICS OF THNF CU-TIO_2-SIO_2/H_2 O:HEAT AND MASS TRANSMISSION ANALYSIS

Authors:

Naga Lakshmi, Ch. Maheswari, Venkata Rao Kanuri, J.V. Ramanaiah, R. S. Durga Rao, V. S. Bhagavan

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00001

Abstract:

This analysis attempts to explain the theoretical analysis of Joule heating and chemical reactions on the systematic flow of a ternary hybrid nanofluid. The flow of the tri-nanofluids was examined on thermal, momentum, and concentration boundary layers (BL). The physical problem was developed as a partial differential equation (PDEs). This was changed to total differential equations by suitable similarity variables. The Runge-Kutta, along with the shooting technique, was employed on the transformed flow equations. These solutions were presented in a pictorial form to discuss the physical problem, while the quantities of interest in engineering are tabulated. The Eckert number was found to enhance the thermal analysis by elevating the temperature along with the velocity distribution. The Joule heating along the magnetic field in the analysis was discovered to limit the speed of the fluid by reducing the velocity distribution.

Keywords:

Chemical reaction,Heat and Mass Transmission Analysis,Ternary hybrid nanofluid,Viscous dissipation,

Refference:

I. Ahmed, Saleem, Huma Iram, and Asif Mahmood. “Joule and viscous dissipation effects on MHD boundary layer flow over a stretching sheet with variable thickness.” Int J Emerg Multidisciplinaries Math 1.2 (2022): 1-10. 10.54938/ijemdm.2022.01.2.27
II. AL Garalleh, Hakim. “Numerical simulation of heat transport mechanism in chemically influenced ternary hybrid nanofluid flow over a wedge geometry.” Discover Applied Sciences 6.9 (2024): 449. 10.1007/s42452-024-06141-4
III. Alqawasmi, Khaled, et al. “Numerical approach toward ternary hybrid nanofluid flow with nonlinear heat source-sink and fourier heat flux model passing through a disk.” International Journal of Thermofluids 18 (2023): 100367. 10.1016/j.ijft.2023.100367
IV. Alshahrani, Saad, et al. “Numerical simulation of ternary nanofluid flow with multiple slip and thermal jump conditions.” Frontiers in Energy Research 10 (2022): 967307. 10.3389/fenrg.2022.967307
V. Al-Turef, Gadah Abdulrahman, et al. “Computational Study and Application of the Hamilton and Crosser Model for Ternary Hybrid Nanofluid Flow Past a Riga Wedge with Heterogeneous Catalytic Reaction.” Nano, vol. 20, no. 01, Jan. 2025, p. 2450105. 10.1142/S1793292024501054.
VI. Arshad, Mubashar, et al. “Rotating hybrid nanofluid flow with chemical reaction and thermal radiation between parallel plates.” Nanomaterials 12.23 (2022): 4177. 10.3390/nano12234177
VII. Bilal, Muhammad, et al. “Numerical analysis of an unsteady, electroviscous, ternary hybrid nanofluid flow with chemical reaction and activation energy across parallel plates.” Micromachines 13.6 (2022): 874. 10.3390/mi13060874
VIII. Bilal, Muhammad, et al. “Numerical simulations through PCM for the dynamics of thermal enhancement in ternary MHD hybrid nanofluid flow over plane sheet, cone, and wedge.” Symmetry 14.11 (2022): 2419. 10.3390/sym14112419
IX. Boubaker, Karem, et al. “Effects of Viscous Dissipation on the Thermal Boundary Layer of Pseudoplastic Power‐Law Non‐Newtonian Fluids Using Discretization Method and the Boubaker Polynomials Expansion Scheme.” International Scholarly Research Notices 2012.1 (2012): 181286. 10.5402/2012/181286
X. Coelho, Paulo M., and Robert J. Poole. “Heat transfer of power-law fluids in plane Couette–Poiseuille flows with viscous dissipation.” Heat Transfer Engineering 41.13 (2020): 1189-1207. 10.1080/01457632.2019.1611139
XI. Farooq, Umar, et al. “Analysis of Kerosene oil conveying silver and manganese zinc ferrite nanoparticles with hybrid nanofluid: effects of increasing the Lorentz force, suction, and volume fraction.” Ain Shams Engineering Journal 15.1 (2024): 102326. 10.1016/j.asej.2023.102326
XII. Guedri, Kamel, et al. “Thermal flow for radiative ternary hybrid nanofluid over nonlinear stretching sheet subject to Darcy–Forchheimer phenomenon.” Mathematical Problems in Engineering 2022.1 (2022): 3429439. 10.1155/2022/3429439
XIII. Kanuri, Venkat Rao, et al. “Investigating Poiseuille Flows in Rotating Inclined Pipes: An Analytical Approach.” Journal homepage: http://iieta. org/journals/ijht 42.1 (2024): 329-336. 10.18280/ijht.420135
XIV. Karthik, K., et al. “Impacts of thermophoretic deposition and thermal radiation on heat and mass transfer analysis of ternary nanofluid flow across a wedge.” International Journal of Modelling and Simulation (2024): 1-13. 10.1080/02286203.2023.2298234
XV. Khan, Shan Ali, et al. “Entropy optimized Ferro-copper/blood based nanofluid flow between double stretchable disks: Application to brain dynamic.” Alexandria Engineering Journal 79 (2023): 296-307. 10.1016/j.aej.2023.08.017
XVI. Khan, Muhammad Naveed, et al. “Flow and heat transfer insights into a chemically reactive micropolar Williamson ternary hybrid nanofluid with cross-diffusion theory.” Nanotechnology Reviews 13.1 (2024): 20240081. 10.1515/ntrev-2024-0081
XVII. Khan, Humera, et al. “Insights into the Significance of Ternary Hybrid Nanofluid Flow Between Two Rotating Disks in the Presence of Gyrotactic Microorganisms.” Nano (2024): 2450110. 10.1142/s1793292024501108
XVIII. Lakshmi, Bhavanam Naga, et al. “Numerical Analysis of Three-Dimensional Magneto hybridized Nanofluid (Al2O3-Cu/H2O) Radiative Stretchable rotating Flow with Suction.” Engineering, Technology & Applied Science Research 14.5 (2024): 16902-16910. 10.48084/etasr.8183
XIX. Li, Shuguang, et al. “Aspects of an induced magnetic field utilization for heat and mass transfer ferromagnetic hybrid nanofluid flow driven by pollutant concentration.” Case Studies in Thermal Engineering 53 (2024): 103892. 10.1016/j.csite.2023.103892.
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XXI. Nihaal, Kandavkovi Mallikarjuna, et al. “Combined impact of joule heating, activation energy, and viscous dissipation on ternary nanofluid flow over three different geometries.” Int. J. Comput. Methods Exp. Meas 11.4 (2023): 251-258. 10.18280/ijcmem.110407
XXII. Priyadharshini, P., et al. “Ternary hybrid nanofluid flow emerging on a symmetrically stretching sheet optimization with machine learning prediction scheme.” Symmetry 15.6 (2023): 1225. 10.3390/sym15061225
XXIII. Ramzan, Muhammad, et al. “A theoretical analysis of the ternary hybrid nanofluid flows over a non-isothermal and non-isosolutal multiple geometries.” Heliyon 9.4 (2023). 10.1016/j.heliyon.2023.e14875
XXIV. Raza, Qadeer, et al. “Numerically analyzed of ternary hybrid nanofluids flow of heat and mass transfer subject to various shapes and size factors in two-dimensional rotating porous channel.” Case Studies in Thermal Engineering 56 (2024): 104235. 10.1016/j.csite.2024.104235
XXV. Rehman, Ali, et al. “Viscous dissipation effects on time-dependent MHD Casson nanofluid over stretching surface: A hybrid nanofluid study.” Journal of Molecular Liquids 408 (2024): 125370. 10.1016/j.molliq.2024.125370
XXVI. Sajid, Tanveer, et al. “Trace of chemical reactions accompanied with arrhenius energy on ternary hybridity nanofluid past a wedge.” Symmetry 14.9 (2022): 1850. 10.3390/sym14091850

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THE INFLUENCE OF TEMPERATURE ACTIONS ON THE CRACK RESISTANCE OF LOAD-BEARING STRUCTURES IN A CAST-IN-SITU BUILDING DURING CONSTRUCTION

Authors:

A. E. Lapshinov, Yu. A. Shaposhnikova

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00002

Abstract:

This study empirically assesses temperature effects on load-bearing systems using field data from an ongoing multifunctional complex featuring cast-in-situ reinforced concrete framing. The calculation-analytical method was employed for design justification, along with mathematical modeling using the LIRA 10.12 software. The results revealed that the strength utilization factor, considering the design reinforcement, exceeded 100% by up to 200% in certain sections of the 2nd underground floor slab, and ranged from 105% to 200% in sections of the 1st underground floor slab. Based on the results of the research, the following conclusions were drawn: cracks in the load-bearing structures of floor slabs and external load-bearing walls of the -2nd and -1st underground floors occurred due to the insufficiency of the calculated reinforcement for the perception of all types of impacts, including temperature; the main reason for the formation of cracks is the absence of expansion joints in the design document of load-bearing structures of the -2nd and -1st floors. According to the research findings the following recommendations are given: when designing cast-in-situ reinforced concrete frame buildings it is necessary to perform a temperature calculation; in case of failure to perform the calculation, it is necessary to arrange expansion joints per the code recommendations; the use of expansion joints in design can be avoided only with appropriate justification.

Keywords:

Cast-in-situ Frame Building,Cracks,Expansion Joint,Temperature Actions,Temperature Deformations,Temperature Shrinkage Block,

Refference:

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THERMOPHORESIS AND BROWNIAN MOTION EFFECTS ON HEAT AND MASS TRANSFER IN MIXED CONVECTIVE MHD HYBRID NANOFLUID FLOW PAST AN INCLINED MAGNETIC STRETCHING SHEET WITH CHEMICAL REACTION AND HEAT SOURCE

Authors:

David Kumar Parisa, K. Bhagya Swetha Latha, M. Gnaneswara Reddy

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00003

Abstract:

This study investigates the influence of thermophoresis, Brownian motion, and inclined magnetic fields on magnetohydrodynamic (MHD) mixed convective flow of a chemically reacting hybrid nanofluid over an inclined magnetic stretching sheet. The hybrid nanofluid comprises copper (Cu) and aluminum oxide (Al₂O₃) nanoparticles suspended in blood, serving as the base fluid. A heat source and first-order chemical reaction are incorporated into the model to analyze their combined impact on velocity, temperature, and concentration profiles. The governing system of highly nonlinear partial differential equations (PDEs) is transformed into a set of ordinary differential equations (ODEs) using similarity transformations. These equations are numerically solved using the fourth-order Runge-Kutta method coupled with the shooting technique, implemented in MATLAB. Graphical results illustrate the effects of key dimensionless parameters such as magnetic field strength, thermophoretic and Brownian motion parameters, chemical reaction rate, and heat source on flow characteristics. The numerical results show excellent agreement with previously published studies, validating the accuracy of the methodology. The findings have potential applications in biomedical engineering, targeted drug delivery, and thermal management systems.

Keywords:

Brownian motion,Chemical reaction,Heat source,Hybrid Nanofluid,Inclined magnetic field,Thermophoresis,

Refference:

I. Algehyne, E. A., Alrihieli, H. F., Bilal, M., Saeed, A., & Weera, W. (2022). Numerical approach toward ternary hybrid nanofluid flow using variable diffusion and non-Fourier’s concept. ACS Omega, 7(30), 29380–29390. 10.1021/acsomega.2c04309
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V. Chandrakala, P., Srinivasa Rao, V. (2024). Effect of Heat and Mass Transfer over Mixed Convective Hybrid Nanofluids past an Exponentially Stretching Sheet, CFD Letters 16, Issue 3, 125-140.

VI. Eid, M. R., & Nafe, M. A. (2022). Thermal conductivity variation and heat generation effects on magneto-hybrid nanofluid flow in a porous medium with slip condition. Waves in Random and Complex Media, 32(6), 1103–1127. 10.1080/17455030.2022.2032491
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IX. Hazarika, S., Ahmed, S., & Chamkha, A. J. (2021). Numerical simulation of MHD hybrid nanofluid flow over a stretching surface: Influence of nanoparticle type and volume fraction. Mathematics and Computers in Simulation, 182, 819–832. 10.1016/j.matcom.2020.10.026
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FUTURE TRENDS AND EMERGING TECHNOLOGIES IN MECHANICAL ENGINEERING: AN ANALYTICAL PERSPECTIVE

Authors:

Raffi Mohammed, Bairysetti Prasad Babu, Subramanya Sarma S., C. Sailaja, Subhani Mohammed, Kiran Kumar Bunga, Chiranjeevi Aggala

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00004

Abstract:

Engineering is a specially designed course that includes the application of knowledge explicitly in the field of science and natural phenomena. The fields of engineering, technology, and physical sciences have been growing towards a new era of development and innovation across the globe. They include many fields, and one such significant area is mechanical engineering, which deals with the construction, working principles, and applications of various types of machines. Technical data of the products based on their scientific principles, along with parameters, are involved in the development of mechanical engineering. With this background, this study is designed to look forward to the future directions and emerging technologies in mechanical engineering. This review study investigated the future direction and emerging technology in mechanical engineering. It also highlighted the purpose and significance of mechanical engineering and discussed some of the research questions in mechanical engineering. Future directions of learning and technology, mechanical invention and development, the transportation industry, electric vehicles, and the artificial intelligence industrial revolution are also mentioned in this study. Mechanical engineering is a growing field of technology across the world. This review study indicated that it is essential to have upgraded knowledge and skills in the field of engineering and technology in this modern era. Many theories can be applied in the mechanical field with the support of upgrades in technology. The direction of mechanical engineering study is to learn the mechanical aspects of different technologies and the knowledge about that technology to optimize its use.

Keywords:

Additive Manufacturing,Artificial Intelligence,Bio-Engineering,Energy Harvesting,Internet of Things,Machine Learning,Nano-Technology,Robotics and Automation,Sustainable and Green Technologies,

Refference:

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DETERMINATION OF FRACTURE TOUGHNESS OF MILD STEEL UNDER MIXED-MODE CONDITIONS USING EXPERIMENTAL FINITE ELEMENT ANALYSIS

Authors:

Anita Pritam, Peer Mohamed Appa M.A.Y., S. Rahamat Basha, Bujjibabu Penumutchi, D. Naga Purnima, Ansari Faiyaz Ahmed, Yogesh Diliprao Sonawane, Chandrabhanu Malla, Rabinarayan Sethi

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00005

Abstract:

This paper explores the fracture toughness of mild steel through experimental and finite element mixed-mode loading modeling. The experiment set the plate of size rectangular of a through-edge inclined crack to find out the critical stress. The experimental results were then applied as input for modeling the specimen in ANSYS, where both the Mode I and Mode II stress intensity factors were computed. The hoop stress approach obtained the maximum hoop stress theory by use of which the critical stress intensity factor is calculated, which shows the fracture toughness of the material. These showed that the mild steel fracture toughness was between 53 and 78 MPa/m1/2. An experimental parametric study of crack length as well as crack inclination on stress intensity factors was carried out, giving insightful conclusions regarding material behavior in fracture in mixed-mode conditions.

Keywords:

ANSYS,Critical Stress Intensity Factor,Finite Element Method,Fracture Toughness,SIF,

Refference:

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EXTRACTION OF NEW EXACT TRAVELING WAVE SOLUTIONS OF THE (3+1)-DIMENSIONAL GENG EQUATION BY EMPLOYING TWO EXPANSION STRATEGIES IN MATHEMATICAL PHYSICS

Authors:

Tozam Hossain, J. R. M. Borhan, Md. Mamun Miah

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00006

Abstract:

We inspect a nonlinear partial differential equation, known as the Geng equation, which captures the behavior of systems such as shallow water wave dynamics and quantum field interactions and has notable applications in the areas of engineering sciences, mechanics, and quantum mechanics in the present research work. Multiple exact wave solutions are determined for the Geng equation by utilizing two effective strategies, namely, (G^'/(G^'+G+A))-expansion and two variables (G'⁄G,1⁄G)-expansion strategies. The solutions derived are formulated through elementary functions having rational, hyperbolic, exponential, and trigonometric forms. With specific values of chosen constants, the graphic representations of the obtained exact wave solutions are depicted using density, contour, 2D, and 3D plots to illuminate the inherent structure of the phenomenon. Additionally, we obtained kink-shaped, anti-kink-shaped, compacton, and singular-periodic-shaped solitons. The findings demonstrate that the mentioned strategies serve as influential mathematical tools and are shown to be highly efficient, computationally adaptable, and easily manageable for exploring solutions of nonlinear partial differential equations in mathematical physics.

Keywords:

The (3+1) - dimensional Geng equation,the exact travelling wave solutions,the (G^'/(G^'+G+A))-expansion strategy,the two variables (G'⁄G,1⁄G)-expansion strategy.,

Refference:

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III. Akram, Ghazala, et al. “Simulations of exact explicit solutions of simplified modified form of Camassa–Holm equation.” Optical and Quantum Electronics 56.6 (2024): 1037. 10.1007/s11082-024-06940-4
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XLIII. Younas, Usman, et al. “On the collision phenomena to the (3+ 1)-dimensional generalized nonlinear evolution equation: Applications in the shallow water waves.” The European Physical Journal Plus 137.10 (2022): 1166. 10.1140/epjp/s13360-022-03401-3

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PERFORMANCE ANALYSIS OF LARGE LANGUAGE MODELS IN DIALOGUE PROCESSING SYSTEMS FOR LOW-RESOURCE LANGUAGES COMPARED TO ENGLISH LANGUAGE

Authors:

Sauvik Bal, Lopa Mandal

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00007

Abstract:

This study investigates the performance of dialogue processing systems in low-resource languages, specifically Bengali and Hindi, using advanced transformer-based models. English, a high-resource language, is used as a benchmark for comparison. Transformer models such as BERT, RoBERTa, FLAN-T5, DistilBERT, and GPT-2 are fine-tuned for question answering tasks across these languages. The evaluation includes metrics like F1 Score, Precision, Recall, and Exact Match to assess language-specific performance. The experiment reveals that GPT-2 delivers the highest exact match scores in Bengali and Hindi, while RoBERTa achieves superior F1 scores, indicating balanced performance. The study emphasizes the importance of monitoring training and validation losses to ensure effective model convergence and to identify overfitting. These findings highlight the potential of transformer models in improving dialogue systems for low-resource linguistic contexts.

Keywords:

Chatbots,Dialog processing system,LLM,Low resource languages,Transformer model,

Refference:

I. Banerjee, Somnath, Sudip Kumar Naskar, Paolo Rosso, and Sivaji Bndyopadhyay. “Classifier combination approach for question classification for Bengali question answering system.” Sādhanā 44 (2019): 1-14. 10.1007/s12046-019-1224-8.
II. Baykara, Batuhan, and Tunga Güngör. 2023. : ‘Turkish Abstractive Text Summarization Using Pretrained Sequence-to-Sequence Models’. Natural Language Engineering 29(5): 1275–1304. 10.1017/S1351324922000195.
III. Cao K., Cheng W., Hao Y., Gan Y., Gao R., Zhu J. and Wu J., 2024.: ‘DMSeqNet-mBART: a state-of-the-art adaptive-DropMessage enhanced mBART architecture for superior Chinese short news text summarization’. Expert Systems with Applications, 257, p.125095. 10.1016/j.eswa.2024.125095.
IV. Chouhan, Sanjay, Shubha Brata Nath, and Aparajita Dutta. : ‘HindiLLM: Large Language Model for Hindi’. In International Conference on Pattern Recognition, pp. 255-270. Springer, Cham, 2025, 10.1007/978-3-031-78172-8.

V. Dabre Raj, Shrotriya Himani, Kunchukuttan Anoop, Puduppully Ratish, Khapra Mitesh and Kumar Pratyush. 2022.: ‘IndicBART: A Pre-trained Model for Indic Natural Language Generation’. In Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland. Association for Computational Linguistics, pp. 1849–1863, 10.18653/v1/2022.findings-acl.145.
VI. Das, Arijit, and Diganta Saha. “Question Answering System Using Deep Learning in the Low Resource Language Bengali.” Convergence of Deep Learning In Cyber‐IoT Systems and Security (2022): 207-230. 10.1002/9781119857686.ch10.
VII. Das, Mithun; Pandey, Saurabh Kumar; Sethi, Shivansh; Saha, Punyajoy; Mukherjee, Animesh.: ‘Low-Resource Counter speech Generation for Indic Languages: The Case of Bengali and Hindi’. arXiv preprint arXiv:2402.07262 (2024). 10.48550/arXiv.2402.07262.
VIII. Ghosh, Koyel, and Apurbalal Senapati. 2025. : ‘Hate Speech Detection in Low-Resourced Indian Languages: An Analysis of Transformer-Based Monolingual and Multilingual Models with Cross-Lingual Experiments’. Natural Language Processing 31(2): 393–414. 10.1017/nlp.2024.28.
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XII. Haque, Rejwanul, Chao-Hong Liu, and Andy Way.: ‘Recent advances of low-resource neural machine translation’. Machine Translation 35, no. 4 (2021): 451-474. 10.1007/s10590-021-09281-1.
XIII. Hsu, T.-Y., Liu, C.-L., & Lee, H.-Y. (2019). : ‘Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model’. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 5933–5940. 10.18653/v1/D19-1607.
XIV. Hwang M.H., Shin J., Seo H., Im J.S., Cho H. and Lee C.K., 2023.: ‘Ensemble-nqg-t5: Ensemble neural question generation model based on text-to-text transfer transformer’. Applied Sciences, 13(2), p.903, 10.3390/app13020903.
XV. Itsnaini, Qurrota A’yuna, Mardhiya Hayaty, Andriyan Dwi Putra, and Nidal AM Jabari.: ‘Abstractive Text Summarization using Pre-Trained Language Model” Text-to-Text Transfer Transformer (T5)’. ILKOM Jurnal Ilmiah 15, no. 1 (2023): 124-131. 10.33096/ilkom.v15i1.1532.124-131.
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XXIX. Tahsin Mayeesha, Tasmiah, Abdullah Md Sarwar, and Rashedur M. Rahman. 2020.: ‘Deep Learning Based Question Answering System in Bengali’. Journal of Information and Telecommunication 5 (2): 145–78. 10.1080/24751839.2020.1833136.
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NUMERICAL INVESTIGATION OF MWCNT/ZNO HYBRID NANOFLUID HEAT PERFORMANCE OF A COUNTER FLOW HEAT EXCHANGER

Authors:

Pidaparthy Maheshbabu, R. Ramkumar, Goda Sreenivasulu Reddy, M. Bakkiyaraj, Prakash H. , Jadhav

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00008

Abstract:

The numerical study explores the augmentation of heat dissipation rate and efficiency of a counter flow heat exchanger (CFHEx) in the presence of (MWCNT/ZnO) hybrid nanofluids (HNF). The HNF concentration is varied from 0.01% to 0.05% in steps of 0.02%. The Reynolds number (Re) of cold fluid is varied from 2436 to 11626, while that of hot fluid, Re, is kept constant. The typical k-ɛ model is utilized for the numerical simulation in turbulent flow regimes. The current numerical results are compared to the literature to serve as validation purpose. From the validation study, the Nusselt (Nu) number agrees well with the numerical and experimental data of the literature, with a deviation of less than 6%. From the numerical study, it can be observed that when the concentrations of HNF the Nu number intensifies meaningfully with a rise in the Re number. For HNF concentration of 0.05%, the average increase in Nusselt number (Nu) is found to be around 41.35% and 23.13% higher than that of base fluid water and 0.01% concentration of HNF, respectively, with an adequate rise in the pressure drop. The critical performance evaluation criteria are also determined, and it is found that at higher concentrations, of hybrid nanofluid performs better than at lower concentrations of the hybrid nanofluid. In addition, the PEC is found to be maximum at lower Re numbers, and further, it reduces with an increase in the flow Re number.

Keywords:

Friction factor,Heat Exchanger,Hybrid nanofluid,Nusselt number,Performance evaluation criteria,

Refference:

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MATHEMATICAL ANALYSIS OF FEEDBACK QUEUE NETWORK MODEL WITH PRIORITVY COMPRISED OF TWO SERIAL CHANNELS WITHIN STOCHASTIC CONDITIONS

Authors:

Preeti, Deepak Gupta, Vandana Saini

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00009

Abstract:

This paper presents a comprehensive analysis of a feedback queue model with a Priority mechanism and investigates its behavior under stochastic conditions. This model comprises two serially connected service channels, with priority applied exclusively to the first service channel. Upon entry, customers are classified into two groups-low and high priority. A preemptive priority discipline is used at the first server to distinguish between high- and low-priority customers, thereby reflecting real-world service hierarchies. The feedback mechanism in the model allows for a maximum of one time only for the customer’s satisfaction with the service. The arrival of the customers is governed by a Poisson process and and service times at both servers are assumed to follow independently and be exponentially distributed. Upon service completion at the second server, customers may either exit the system permanently or re-enter the network through a feedback loop. The Steady-state behavior of the system is captured through a set of differential equations, which are solved by using the generating function technique combined with classical calculus laws. Various queue performance indicators, including average queue length, variance in queues, server utilization, and total duration time, are discussed. In the last section, a comparative study of the model with the literature is also discussed. The model’s behaviour is well demonstrated both graphically and numerically and provides an in-depth understanding of how each parameter influences the overall system performance, and the obtained results prove the stability and accuracy of the model. The insights derived from the analysis could help understand the design and optimization of the queueing model in different settings such as hospitals, manufacturing industries, and telecommunications.

Keywords:

Feedback,Generating function techniques,Priority,Queueing,Serial Channel,Stochastic condition,

Refference:

I. Ajewole, O. R., C. O. Mmduakor, E. O. Adeyefa, J. O. Okoro, and T. O. Ogunlade. “Preemptive-Resume Priority Queue System with Erlang Service Distribution.” Journal of Theoretical and Applied Information Technology, vol. 99, no. 6, 2021, pp. 1426–1434.
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A MODIFIED CLOSED-TYPE HYBRID QUADRATURE FOR THE NUMERICAL SOLUTION OF SINGULAR COMPLEX-VALUED INTEGRALS

Authors:

Bibhuranjan Nayak, Shubhankar Palai, Dwiti Krushna Behera, Tusar Singh

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00010

Abstract:

A novel closed-type modified anti-Gaussian 4-point transformed rule has been developed for solving Cauchy principal value complex integrals. Furthermore, a more precise mixed quadrature rule MQ(f), has been created by combining the closed-type modified quadrature rule with the Gauss-Legendre 2-point transformed technique. Theoretical analysis of errors confirms the enhanced performance of the newly proposed quadrature rule. Numerical computation of various sample integrals is performed. The numerical calculations demonstrate the superiority of the new rule among others.

Keywords:

Cauchy principal value integrals,Gauss-Legendre transformed rule,closed-type anti-Gaussian transformed rule,mixed rule,singularity,

Refference:

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A HYBRID APPROACH TO SECURE CONTAINER ORCHESTRATION: INTELLIGENT WATER DROP ALGORITHM WITH ANTI-COLLOCATION AND SECURITY AFFINITY RULES

Authors:

Kanika Sharma, Parul Khurana, Ramandeep Sandhu, Chander Prabha, Harpreet Kaur, Deepali Gupta

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00011

Abstract:

Container-based virtualization has become prominent as lightweight virtualization due to its scalability, resource utilization, and portability, especially in microservices. Container scheduler plays an essential role in Container services to optimize performance to reduce the overall cost by managing load balancing. However, scheduling Containers with efficiency while ensuring the Container security remains one of the major challenges. This paper presents a hybrid scheduling approach by combining a nature-inspired algorithm with the security principle. Our proposed technique combines the optimization of the Intelligent Water Drop (IWD) algorithm with Anti-Collocation and Security Affinity Rules (ACAR) to ensure the privacy of Containers. IWD-ACAR focuses on resource optimization, and one of the security concerns is that no more than two Containers should be placed on the less secure node. To simulate the proposed technique, we have used Python, and the simulation results demonstrate 25% improvement in the resource utilization along with a 98% threat detection rate in real-time monitoring. The proposed approach balances the various performance evaluation parameters like CPU utilization, memory utilization, along security in a cloud environment.

Keywords:

Cloud Computing,Containerization,Isolation,Resource allocation,Scheduling,Security,

Refference:

I. Bachiega, Naylor G., Paulo S. L. de Souza, Sarita M. Bruschi, and Simone do R. S. de Souza. “Container-Based Performance Evaluation: A Survey and Challenges.” 2018 IEEE International Conference on Cloud Engineering (IC2E), IEEE, April 2018, pp. 398–403. 10.1109/IC2E.2018.00075.
II. Rathi, Sugandha, Renuka Nagpal, Gautam Srivastava, and Deepti Mehrotra. “A Multi-Objective Fitness Dependent Optimizer for Workflow Scheduling.” Applied Soft Computing, vol. 152, 2024, article 111247. 10.1016/j.asoc.2024.111247. jscca.uotechnology.edu.iq+7dl.acm.org+7ouci.dntb.gov.ua+7
III. Li, Jun, Peng Wang, and Yan Zhang. “A Survey on Scheduling Algorithms in Cloud Computing.” Journal of Cloud Computing, vol. 10, no. 1, 2021, pp. 1–20. 10.3233/MGS-220217. journals.sagepub.com+2dl.acm.org+2researchgate.net+2
IV. Jeon, Jueun, et al. “Efficient container scheduling with hybrid deep learning model for improved service reliability in cloud computing.” IEEE Access (2024). 10.1109/ACCESS.2024.3396652
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VI. Huang, Lin, Xuefeng Li, and Zhiqiang Zhang. “Security-Enhanced Cloud Scheduling for Container-Based Environments.” IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, 2023, pp. 1345 1357. 10.1145/3579856.3582835
VII. Xiong, Ke, Zhonghao Wu, and Xuzhong Jia. “DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments.” Journal of Advanced Computing Systems 5.1 (2025): 1-17.DOI: 10.69987/JACS.2025.50101
VIII. Parampottupadam, Santhosh, and Arghir-Nicolae Moldovann. “Cloud-based real-time network intrusion detection using deep learning.” 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security). IEEE, 2018. 10.1109/CyberSecPODS.2018.8560674
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MATHEMATICAL MODELING OF NONLINEAR BOUNDARY VALUE PROBLEM IN Mn-Cu CATALYTIC COMBUSTION OF VOLATILE ORGANIC COMPOUNDS USING ASYMPTOTIC METHODS

Authors:

A. Dorathy Cathrine, R. Raja, R. Swaminathan

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00012

Abstract:

The Article describes the kinetic approach to ethanol and ethyl acetate combustion using a Mn-Cu catalyst. Catalytic combustion is an established process for removing volatile organic compounds. Acetaldehyde is an intermediate product of ethanol oxidation. The kinetic mechanism of this model is expressed in terms of a nonlinear equation in planar coordinates. Approximate analytical solutions for the concentrations of ethanol, ethyl acetate, and acetaldehyde are derived using asymptotic methods. Analytical results are verified to be accurate through a direct comparison with numerical simulation. This paper aims to provide a kinetic evaluation of the combustion of ethanol over a Mn-Cu catalyst. The study was conducted to estimate the appropriate kinetic parameters and formulate reasonable reaction rate expressions.

Keywords:

Catalytic Combustion,Mathematical modeling,Nonlinear differential equations,

Refference:

I. Akbari, M. R. “Akbari-Ganjis method AGM to chemical reactor design for non-isothermal and non-adiabatic of mixed flow reactors.” J. Chem. Eng. Mater. Sci 11.1 (2020): 1-9. 10.5897/JCEMS2018.0320.
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XVI. Swaminathan, Rajagopal, et al. “Analytical solution of nonlinear problems in homogeneous reactions occur in the mass-transfer boundary layer: homotopy perturbation method.” International Journal of Electrochemical Science 16.6 (2021): 210644. 10.20964/2021.06.51

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