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相关概念视频

The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes the...
Control of Power Flow01:30

Control of Power Flow

There are several methods to control power flow in power systems:
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
Generator Voltage Control01:21

Generator Voltage Control

Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...
Turbine-Governor Control01:17

Turbine-Governor Control

Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
Load-frequency control01:28

Load-frequency control

Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...

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High-resolution Patterning Using Two Modes of Electrohydrodynamic Jet: Drop on Demand and Near-field Electrospinning
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智能优化设计框架用于交流电脉冲调节电动力学打印过程参数.

Chang Liu1, Yiwen Feng1, Dazhi Wang1,2,3,4

  • 1Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian, 116024, China.

Small (Weinheim an der Bergstrasse, Germany)
|January 11, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于交流电脉冲调制电水力学 (AC-EHD) 打印的智能框架,以精确控制绝缘基板上的微结构大小. 优化的工艺参数显著提高了印刷精度,减少了浪费.

关键词:
人工神经网络的人工神经网络电水动力学打印 电水动力学打印鹿群群优化器 鹿群优化器绝缘基板是一种绝缘基板.智能优化设计 智能优化设计

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 添加剂制造 添加剂制造 添加剂制造
  • 微型制造业的微型制造

背景情况:

  • 在使用绝缘基板的应用中,精确控制印刷微结构尺寸至关重要.
  • 传统的调整交流电脉冲调制电水力学 (AC-EHD) 打印参数的方法往往耗时且浪费时间.
  • 开发一个智能优化框架是必要的,以提高AC-EHD打印的可用性和效率.

研究的目的:

  • 为AC-EHD打印提出和验证一个集成的智能优化设计框架.
  • 为了实现在绝缘基板上打印的微观结构的高效和精确的尺寸调整.
  • 在参数调整过程中尽量减少时间和材料浪费.

主要方法:

  • 开发了一个两阶段的框架:预测模型的构建和过程参数的获取.
  • 采用鹿群优化器 (EHO) 与人工神经网络 (ANN) 结合,根据过程参数预测打印滴滴大小.
  • 使用EHO算法与预测错误作为适应性,以智能地确定最佳的AC-EHD打印参数.

主要成果:

  • EHO-ANN模型在预测各种数据集中的打印滴滴大小方面表现出高准确性和稳定性.
  • 智能优化框架在实验验证中成功地将实际打印的滴滴大小与所需值对齐.
  • 拟议的框架显著减少了与对绝缘基板进行AC-EHD打印的参数调整相关的试错.

结论:

  • 集成的智能优化框架为AC-EHD打印中精确的尺寸控制提供了有效的解决方案.
  • 这种方法提高了AC-EHD印刷技术的实际可用性,特别是在绝缘材料上.
  • 该研究成功地减少了浪费,并提高了微型制造工艺的效率.