
Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)
Published: Dec. 18, 2024
Language: Английский
Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)
Published: Dec. 18, 2024
Language: Английский
steel research international, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 10, 2025
A conical journal bearing (CJB) is a type of with tapered, shape that supports rotating shaft, providing both radial and axial support. Its design allows for better load distribution alignment compared to cylindrical bearings, making it suitable specific applications where combined loads are present. Numerous factors, including lubrication, capacity, material, operating speed, clearance, friction, affect the way CJBs work. These factors determine efficiency, durability, overall functionality under different operational conditions. Finite element analysis (FEA) helps evaluate CJB performance by simulating stress strain distributions, thermal behavior, deformation various loads. It also models lubrication flow, insights into how quality impact performance. This comprehensive aids in optimizing predicting failure points. The results FEA evaluating reveal detailed identify potential points, predict behavior provides helping optimize improved reduced enhanced durability. findings enable engineers make data‐driven decisions enhance reliability.
Language: Английский
Citations
0Partial Differential Equations in Applied Mathematics, Journal Year: 2024, Volume and Issue: unknown, P. 101019 - 101019
Published: Dec. 1, 2024
Language: Английский
Citations
3Mathematical Methods in the Applied Sciences, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 26, 2025
ABSTRACT This study employs the Jeffrey fluid model to investigate stress relaxation in non‐Newtonian fluids, offering a more precise representation than conventional viscous models. It explores influence of multiple slip conditions and magnetohydrodynamics (MHD) on flow heat transfer across irregular surfaces. Additionally, impact thermal radiation internal sources is examined, essential for comprehensive understanding system's dynamics. Using Buongiorno model, diffusion thermophoresis nanoparticles within are analyzed. Nonlinear coupled governing equations covering dynamics, transfer, nanoparticle transport transformed into ordinary differential (ODEs) through similarity transformations solved numerically using Runge–Kutta fourth‐order (RK4) method combined with shooting techniques. Results indicate significant effects physical parameters temperature, velocity, mass profiles: 20% decrease temperature profiles an increase dimensionless coefficient from 0.1 0.5 15% reduction velocity unit magnetic parameter . The also quantifies rates elucidate their impacts. These findings have profound implications engineering applications involving nanofluids complex geometrical configurations.
Language: Английский
Citations
0International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101160 - 101160
Published: March 1, 2025
Language: Английский
Citations
0International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 160, P. 108401 - 108401
Published: Dec. 3, 2024
Language: Английский
Citations
2Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 18(1), P. 101228 - 101228
Published: Dec. 5, 2024
Language: Английский
Citations
2Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(1)
Published: Dec. 18, 2024
Language: Английский
Citations
1