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相关概念视频

Flame Photometry: Overview01:02

Flame Photometry: Overview

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Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
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Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes02:14

Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes

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The low reactivity in alkanes can be attributed to the non-polar nature of C–C and C–H σ bonds. Alkanes, therefore, were  initially termed as “paraffins,” derived from the Latin words: parum, meaning “too little,” and affinis, meaning “affinity.”
Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
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Otto and Diesel Cycle01:27

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An Otto engine is a four-stroke engine that uses a mixture of gasoline and air as the working fuel. The fuel is injected into the cylinder, and the piston is moved completely down so that the cylinder is at maximum volume. By moving the piston up, adiabatic compression takes place. The spark plug ignites the gasoline-air mixture, and the burning fuel adds heat to the system at a constant volume. The heated mixture expands adiabatically and gets further cooled by exhausting heat, and this cyclic...
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相关实验视频

Updated: Jul 9, 2025

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure
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优化炉燃烧参数基于进化教学-学习优化算法,以减少NOx排放度.

Yunpeng Ma1, Shilin Liu1, Shan Gao1

  • 1School of Information Engineering, Tianjin University of Commerce, Tianjin, China.

Mathematical biosciences and engineering : MBE
|December 5, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于进化教学优化算法 (ETLBO),以减少炉的氧化 (NOx) 排放. ETLBO有效地优化了燃烧参数,在减少热电厂的NOx度方面表现出卓越的准确性.

关键词:
炉燃烧的优化 炉燃烧的优化进化演化计算计算的方法极端学习的机器学习.模型模型模型模型模型模型优化的优化优化优化.基于教学学习的优化算法

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科学领域:

  • 环境工程 环境工程
  • 燃烧科学 燃烧科学
  • 人工智能的人工智能

背景情况:

  • 炉的高氧化 (NOx) 排放对热电厂构成重大环境挑战.
  • 优化炉燃烧参数对于减轻NOx污染至关重要.

研究的目的:

  • 开发和验证用于减少炉NOx排放的先进优化算法.
  • 为了提高燃烧参数优化的效率和准确性.

主要方法:

  • 一个基于进化教学和学习的优化算法 (ETLBO) 被开发出来,它结合了混乱映射和遗传进化原则.
  • 该ETLBO算法与20届IEEE进化计算大会对融合速度和准确性的测试函数进行了基准测试.
  • 应用ETLBO来优化炉燃烧参数,包括煤供应和空气设置.

主要成果:

  • 与现有算法相比,ETLBO在大多数基准测试函数上表现出更高的收精度.
  • 应用ETLBO成功降低了炉中的NOx排放度.
  • 该算法在优化关键燃烧参数方面被证明是有效的.

结论:

  • ETLBO是一种高效和精确的优化工具,用于减少热电厂炉的NOx排放.
  • 开发的算法为燃烧过程中的环境合规性和运营效率提供了有前途的解决方案.