使用物理驱动的深度学习对地热管道EMHD纳米流体流的分析
Faiza1, Waseem2, Saeed Islam1,3
1Abdul Wali Khan University Mardan, Mardan, 23200, Pakistan.
Scientific reports
|November 11, 2025
概括
这项研究引入了一个无监督的深度神经网络 (DNN) 来预测地热管道中的电磁水力动力学混合纳米流体流. DNN准确地模拟复杂的流体动力学,有助于优化地热能源系统.
科学领域:
- 流体动力学 流体动力学
- 热传递热量转移的方法
- 机器学习 机器学习
背景情况:
- 混合纳米流体表现出异常的流量和热性能,使其适合地热能提取.
- 了解电磁水力学 (EMHD) 混合纳米流体流程对于优化地热管道应用至关重要.
研究的目的:
- 引入一种新的无监督深度神经网络 (DNN) 方法,用于预测EMHD混合纳米流体流的温度和速度行为.
- 分析电磁场对地热管道中混合纳米流体动态的影响.
主要方法:
- 一个三级藻酸盐模型被用来检查混合纳米流体流动力学.
- 使用无监督深度神经网络 (DNN) 预测由非线性微分方程控制的行为.
- 能量方程式包含了朱尔加热和粘性消散的效应,用于完全开发的不可压缩流.
主要成果:
- 在预测流体行为方面,DNN实现了高精度 ([公式:见文本]到[公式:见文本]).
- 速度配置文件显示对称性和显著依赖电场和热格拉斯霍夫数.
- 纳米粒子导致沿管道长度的整体热概况下降.
结论:
- 该研究为优化地热应用中的热力学系统提供了基础框架.
- 这些发现对设计节能地热管道并改进热传输具有实际意义.
- DNN方法为分析复杂的EMHD混合纳米流体动力学提供了强大的工具.
相关概念视频
01:27Energy Line and Hydraulic Gradient Line
2.0K
Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
2.0K
01:22Eulerian and Lagrangian Flow Descriptions
1.9K
Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
1.9K
01:17Steady, Laminar Flow Between Parallel Plates
773
Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
773
01:23Plane Potential Flows
851
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
Uniform...
851
01:27Dimensional Analysis
623
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
In fluid mechanics, dimensional...
623
01:23Introduction to Types of Flows
1.8K
Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
Two-dimensional flow involves changes in both length and height, as seen in...
Two-dimensional flow involves changes in both length and height, as seen in...
1.8K