One test to predict them all: Rheological characterization of complex fluids via artificial neural network DOI Creative Commons
Ases Akas Mishra, Viney Ghai,

Valentina Matović

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 139, С. 109598 - 109598

Опубликована: Ноя. 12, 2024

Язык: Английский

Effect of Hall current generated by a radial magnetic field on transient natural convection between vertical annuli DOI

Vijay Kumar Sukariya,

Anurag Anurag,

Atul Jakhar

и другие.

The European Physical Journal Plus, Год журнала: 2024, Номер 139(11)

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

7

Advanced PID-controlled temperature prediction and management for optimized automated laser cutting processes DOI Creative Commons
Kun Yang,

Fengying Cui

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 2, 2025

In the context of increasing demands for precision and efficiency in industrial production manufacturing, automated laser cutting technology plays a crucial role addressing challenges related to processing parameter optimization, real-time monitoring, intelligent control. This research introduces novel approach temperature prediction control processes, leveraging advanced techniques proportional-integral-derivative (PID) algorithm. The study establishes Gaussian distribution heat source model applies finite difference method predict changes on workpiece surface, ensuring high accuracy reliability. implementation PID algorithm allows precise adjustments parameters, such as power, pulse frequency, width, speed, significantly enhancing not only improves quality but also reduces costs. model's effectiveness is confirmed through validation with commercial element software experimental outcomes. results show that kept at about 6%, within 5°C. contributes new computational advances optimization processes supports development adaptive systems.

Язык: Английский

Процитировано

0

Mathematical Study of Dispersion of Nano Biosensors in an Artery with Multiple Stenosis DOI
Bhawini Prasad

International Journal of Mathematical Engineering and Management Sciences, Год журнала: 2025, Номер 10(3), С. 676 - 703

Опубликована: Март 6, 2025

This research article deals with the usefulness of nanobiosensors to treat multiple stenosis in an artery. Nanobiosensors dispersed blood are recognised as nanofluids, and their properties have been used define mathematical model. The problem is solved using analytical method given by Sankarsubramanian Gill find temperature velocity nanofluid transport coefficients nanobiosensors. MATLAB was plot graphs see variation different parameters like slip parameter, depth nanolayer thickness. It found that once were dispersed, escalated hit stenosis. If depths around 0.1x10(-3) m 0.3x10(-3) m, a diseased artery, then nano-biosensors layer thickness about 30 nm shall be suitable for range 310-320K. model bears possible applications target detection drug delivery at stenosed sites.

Язык: Английский

Процитировано

0

Robust finite-time nonlinear control of exoskeleton robots in the presence of unknown friction force, parametric sectional number, and bounded external disturbance DOI

Sotirios Spanogianopoulos,

Mohammad Alferouni,

Abdeljelil Chammam

и другие.

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Год журнала: 2025, Номер 47(7)

Опубликована: Май 29, 2025

Язык: Английский

Процитировано

0

AI-integrated ISPH framework for enhanced heat and mass transfer in NEPCM systems within porous wavy cylindrical annuli DOI
Abdelraheem M. Aly, Munirah Alotaibi

Journal of Energy Storage, Год журнала: 2024, Номер 108, С. 115113 - 115113

Опубликована: Дек. 27, 2024

Язык: Английский

Процитировано

3

One test to predict them all: Rheological characterization of complex fluids via artificial neural network DOI Creative Commons
Ases Akas Mishra, Viney Ghai,

Valentina Matović

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 139, С. 109598 - 109598

Опубликована: Ноя. 12, 2024

Язык: Английский

Процитировано

0