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相关概念视频

Atomic Spectroscopy: Effects of Temperature01:27

Atomic Spectroscopy: Effects of Temperature

314
Atomization, converting samples into gas-phase atoms and ions, is essential for atomic spectroscopy. The flame temperature required for atomization affects the efficiency of the atomic spectroscopic methods by increasing the atomization efficiency and the relative population of the excited and ground states.
At thermal equilibrium, the relative populations of excited and ground state atoms can be estimated using the Maxwell–Boltzmann distribution. For example, an increase in temperature...
314
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

1.6K
Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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相关实验视频

Updated: Jun 11, 2025

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
08:52

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere

Published on: April 30, 2018

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多光谱辐射温度测量:一种基于反转的高精度方法,使用了增强的粒子群优化算法,并采用了多种策略.

Xiaodong Wang1, Shuaifeng Han1

  • 1College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
概括

这项研究引入了一种改进的粒子群优化算法,用于准确的多光谱温度测量,即使有未知的发射率. 该方法在工程应用中实现了高精度和高效率.

关键词:
处理数据的数据处理.多光谱温度计多光谱温度计优化算法优化算法频谱发射率模型的模型.温度逆转是温度的逆转.

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Plasmonic Photothermal Cancer Therapy: Nanoparticle-embedded Tumor-tissue-mimicking Phantoms for Visualizing Photothermal Temperature Distribution
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Plasmonic Photothermal Cancer Therapy: Nanoparticle-embedded Tumor-tissue-mimicking Phantoms for Visualizing Photothermal Temperature Distribution

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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

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相关实验视频

Last Updated: Jun 11, 2025

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

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科学领域:

  • 工程物理学 工程物理
  • 计算科学 计算科学

背景情况:

  • 多光谱温度测量在工程中至关重要.
  • 未知排放率在数据处理中是一个重大挑战.

研究的目的:

  • 开发一个强大的多光谱温度测量模型.
  • 通过使用增强的优化算法来解决排放率的不确定性.

主要方法:

  • 整合到目标函数中的排放性约束.
  • 采用了带有多个战略改进的粒子群优化 (PSO) 算法.
  • 模拟了六种具有不同排放性趋势的材料模型.

主要成果:

  • 在模拟中实现的平均相对温度误差低于0.3%.
  • 对碳化和的实验验证显示分别有<4K和<7K的误差.
  • 测试材料的平均计算时间在0.33秒以下.

结论:

  • 改进的PSO算法为多光谱辐射温度计提供了高精度和高性能.
  • 为温度测量的实际工程挑战提供了可行的解决方案.
  • 该方法有可能扩展到其他多光谱系统.