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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
727
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
140
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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Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

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When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
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相关实验视频

Updated: Sep 8, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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处理-运输复合机器人的能源效率高的灵活工厂调度问题

Meizhou Zhang1,2, Min Zhou1,2, Liping Zhang3,4

  • 1Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan, 430081, China.

Scientific reports
|September 5, 2025
PubMed
概括

这项研究介绍了制造业中加工运输机器人的节能调度. 一个新的算法可以最大限度地减少灵活工厂的能源消耗和生产时间.

关键词:
同进化算法节能灵活的工作室安排多目标优化处理-运输复合机器人自己学习

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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科学领域:

  • 制造系统工程
  • 运营研究
  • 人工智能

背景情况:

  • 在制造业中越来越多地使用加工运输复合机器人,导致能源需求增加.
  • 有效的调度对于管理这些复杂系统的能源消耗至关重要.
  • 灵活的工作场所环境对集成机器人安排提出了独特的挑战.

研究的目的:

  • 在灵活的工作车间研究机器人机器集成的节能调度.
  • 为了最大限度地减少能源消耗,
  • 解决与先进制造机器人相关的日益增长的能源消耗.

主要方法:

  • 开发一种新的混合整数线性编程 (MILP) 模型.
  • 一个双自学共进化算法的提议.
  • 使用三维解决方案表示和贪的解码策略.
  • 采用混合初始化方法与适应性随机选择和混乱映射.
  • 实施双重自学机制,以进行演化操作者选择和群体相互作用.

主要成果:

  • 提出的MILP模型有效地阐述了节能调度问题.
  • 双自学共进化算法在最大限度地减少能源消耗和寿命方面表现出卓越的性能.
  • 实验分析证实了拟议的算法及其组件的有效性.
  • 这种贪的解码策略成功地减少了置时间和能源消耗.

结论:

  • 开发的方法为机器人机器集成的灵活工作室提供了有效的节能调度解决方案.
  • 新的算法及其组件显著改善了优化结果.
  • 这项研究通过减少能源消耗为可持续制造业做出了贡献.