Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 124690 - 124690
Published: Oct. 1, 2024
Language: Английский
Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 124690 - 124690
Published: Oct. 1, 2024
Language: Английский
Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104899 - 104899
Published: Aug. 2, 2024
The article presents a comprehensive simulation study on cold storage porous containers, employing the Galerkin method to analyze their thermal behavior. A key focus of investigation is incorporation both radiation and conduction modes within mathematical model, acknowledging significant roles in freezing process. To enhance rate, hybrid nanoparticles are introduced into H2O, aiming speed up solidification. Notably, integrates adaptive grid techniques achieve higher modeling accuracy, with verification processes confirming high level agreement between results experimental data. This research also underscores potential for improved energy efficiency systems, contributing sustainability natural resources by reducing consumption enhancing overall systems. Through meticulous examination, explores impacts various factors freezing, including fraction nano-powders (ϕ), porosity (γ), factor (Rd). Remarkably, introduction media causes substantial increment resulting an improvement approximately 91.19 %. Moreover, inclusion term model significantly reduces completion time 30.85 %, underscoring importance considering effects such Additionally, dispersing water, decrement around 7.21 approach highlights optimizing use applications, thereby promoting conservation sustainable management resources.
Language: Английский
Citations
11Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105749 - 105749
Published: Jan. 1, 2025
Language: Английский
Citations
1Battery energy, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 25, 2025
ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. Despite advantageous features, these encounter longevity challenges, posing disposal complications an insufficient sustainable supply chain ecosystem address the growing demand for lithium batteries. One potential solution this issue is implementation of circular economy model. This study aims identify assess key barriers optimizing lithium‐ion battery using integrated Gray Multi‐Criteria Decision Making approach within automotive sector. The novelty research lies its application Possibility Comparison degree uncertainties. By integrating DEMATEL (Decision Trial Evaluation Laboratory) ANP (Analytic Network Process) methods, offers more flexible adaptive framework identifying analyzing interrelationships among barriers. process involves validating identified through Delphi method, followed by establish cause‐effect relationships Finally, used assign weights prioritize into primary secondary categories. results indicate that barrier “Lack supportive policies standards” holds highest importance influence, with weight 0.101225.
Language: Английский
Citations
1Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 25, 2024
Language: Английский
Citations
6Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104850 - 104850
Published: July 18, 2024
In current study, Galerkin techniques have been utilized to model the freezing behavior of a cold storage unit. The system features fins and porous foam, enhancing its efficiency in solidifying liquids. Additionally, hybrid nanoparticles introduced into water improve conductivity. energy equation has augmented with new term for radiation mode, alongside source freezing. With goal determining amounts scalars at each node, consists two equations. Mesh adaptation employed accommodate dynamic nature process. Validation against previous data demonstrates good agreement, bolstering reliability simulation. introduction foam domain results significant enhancement rate, an increase about 90.75 %. Furthermore, scenarios without mixing nano-powders surge factor contribute notable reductions completion time, decreases approximately 12.52 % 8 %, respectively. By combining all these techniques, considerable reduction solidification time can be achieved, amounting around 91.46 This highlights importance comprehensive approach improving efficiency. units through advanced this research contributes sustainable use natural resources, highlighting potential reducing consumption minimizing environmental impact.
Language: Английский
Citations
5ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 9, 2024
Abstract The significance of the present article is to enhance thermal management and energy efficiency complex engineering infrastructures such as storage systems, modern electric vehicles, insulations, heavy‐duty machinery, production units. This research aims understand intricate relationship between conductivity performance ternary () hybrid nanomaterial entropy generation optimize material design efficacy. A synergetic combination three distinct nanomaterials silicon dioxide, ferric oxide, titanium oxide with ethylene glycol water in ratio 3:2 a base solvent comprised contributing unique thermophysical properties. To elucidate impact this composition on conductivity, various factors are analyzed. advanced computational technique Artificial intelligent feed‐forward neural network (AIFFNN) utilized. problem governed system PDEs, which transformed into ODEs by dimensionless similarity. Adams method provided dataset filtered embedded Marquardt–Levenberg Algorithm (LMA). study examines role constituents, morphology, boundary conditions generation. Graphical analysis velocity, temperature, respect varying parameters, including surface absorption ( λ ), magnetic strength (Tesla M radiation parameter Rd Brownian motion Br Eckert number Ec ). findings have practical for optimizing industrial applications.
Language: Английский
Citations
4Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)
Published: Jan. 1, 2025
Abstract To improve the accuracy and efficiency of body data analysis for adolescent sports, a physical health method youth sports based on cloud computing gait perception is proposed. By constructing framework with five layers acquisition layer, storage layer application utilizing random forest improved by sampling mode decision tree feature splitting as excavates essence under different conditions, thereby realizing sports. The results show that proposed can accurately quickly evaluate impact types adolescents’ data. Moreover, its average rate 99.22%, training time 110.14 seconds, which are significantly better than those logistic regression LightGBM methods. It provides reference scientifically guiding improving health.
Language: Английский
Citations
0Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104885 - 104885
Published: July 23, 2024
The purpose of current article is to develop a more efficient cold storage design by integrating hybrid nanomaterials and permeable foam. container architecture features two sinusoidal walls containing water, with the addition nano-powders enhance conduction. Additionally, account for radiation effects, source term based on Roseland approximation incorporated into energy equation. unsteady terms freezing are discretized using an implicit technique, model solved Galerkin method. Grid configuration adjusted position solid front ensure accurate simulation results. Verification against previous data demonstrates reasonable accuracy in outputs. study reveals significant improvements efficiency through adoption these techniques. Without any enhancements, required time approximately 1552.28 s. However, integration all three techniques results remarkable reduction about 91.64 % this time, emphasizing substantial impact proposed modifications. Specifically, enhances rate 7.84 %, while saturating medium porous foam leads decrement around 90.69 %. Furthermore, increase factor (Rd) 1 notable improvement 20.02 efficiency.
Language: Английский
Citations
2Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104914 - 104914
Published: Aug. 3, 2024
This work employs an approach to examine the effects of adding alumina nanoparticles with varying diameters (dp) water on productivity cold storage. Utilizing a finned geometry curved wall, mesh configuration was adapted solid front's location, and unsteady terms were discretized using implicit methods. The concentration (ϕ) also evaluated as key parameter. Results indicated that increasing improved storage efficiency by approximately 42.11 %. Among various sizes, medium-sized most effective, yielding 20 % improvement in freezing compared smallest size. Optimal nanoparticle dispersion significantly reduced required cooling time from 9383.58 s 5507.129 s. study highlights substantial benefits combining fins enhance systems, presenting notable advancement thermal management technology.
Language: Английский
Citations
2Frontiers in Applied Mathematics and Statistics, Journal Year: 2024, Volume and Issue: 10
Published: Oct. 24, 2024
The Circular Economy of the Automotive Industry’s Sustainable Supply Chain in Case Lithium-Ion Batteries is pioneering environmental protection and ecological resource utilization. In addition to solving problems, this method provides economic benefits by reducing need for raw materials lowering manufacturing costs. However, introducing a circular economy approach lithium-ion battery supply chain has numerous risks challenges. This study addresses these challenges crafting framework that encapsulates involved. It identifies evolving strategies might bring through an integrated Gray Delphi–DEMATEL–ANP method. Furthermore, work introduces Degree Possibility unveil worst-case scenarios risk analysis extends it into zero-sum Game Theory. then formulates improved game model determine optimal mitigating risks. numerical reveals that, according proposed methodology, Environmental Pollution Risk emerges as most critical, with definite weight 0.1525. followed Support Program Deficiency at 0.1452 Improper Waste Management 0.1372.
Language: Английский
Citations
2