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相关概念视频

Response Surface Methodology01:16

Response Surface Methodology

116
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
116
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

105
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
105
Control Systems: Applications01:25

Control Systems: Applications

599
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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相关实验视频

Updated: Jun 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

推进汽油脱硫:系统技术中的多目标模糊优化.

Stephen S Correa1, Kate Andre T Alviar1, Angel Nicole V Arbilo1

  • 1Department of Chemical Engineering, De La Salle University, 2401 Taft Ave, Manila, 0922, Philippines.

Heliyon
|July 4, 2024
PubMed
概括

超声波辅助氧化脱硫 (UAOD) 通过平衡效率和成本来优化汽油清洁. 这种方法为工业应用提供了一种可行的,具有成本效益的方法.

科学领域:

  • 环境化学环境化学
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 燃料产生的硫排放导致环境问题.
  • 超声波辅助氧化脱硫 (UAOD) 是一种有前途的硫去除技术.
  • 之前的研究重点是针对UAOD有效性的响应表面方法.

研究的目的:

  • 评估汽油脱硫的UAOD效率和运营成本.
  • 使用多目标模糊优化 (MOFO) 方法确定最佳运行条件.
  • 评估汽油UAOD的经济可行性.

主要方法:

  • 采用多目标模糊优化 (MOFO) 方法.
  • 使用最大-最小聚合用于模糊模型优化.
  • 确定了最佳条件:超声波功率445.43W,辐射时间4.74分钟,氧化剂6.73毫升.

主要成果:

  • 实现了78.64%的脱硫效率 (YA),运营成本为13.49美元/升.
  • 在最佳条件下达到66.79%的满意度.
  • 与现有文献相比,证明效率和成本较低.

结论:

关键词:
汽油 汽油 汽油 汽油多目标模糊优化多目标模糊优化巴雷托边境边境响应表面方法 响应表面方法超声波辅助的氧化脱硫方法一个 ε-限制限制.

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  • MOFO为汽油脱硫提供了一个可行的经济解决方案.
  • 优化条件简化了流程,降低了运营成本.
  • 为未来的工业规模UAOD实施提供了洞察力.