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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

148
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...
148
Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

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Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
682
Method of Joints: Problem Solving I01:30

Method of Joints: Problem Solving I

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The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint. Consider a truss structure with two forces of 20 N and 10 N acting at joints C and D, respectively. The method of joints can be used to determine the forces FCB, FDC,...
1.3K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

866
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
866
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

679
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...
679
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

172
The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
172

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相关实验视频

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Surrogate Model Development for Digital Experiments in Welding
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一种自学方法,与领域知识集成,用于智能接顺序规划.

Weidong Shen1,2, Xuewen Wang3,4, Juanli Li3,4

  • 1College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China. shenweidong@tyut.edu.cn.

Scientific reports
|July 10, 2025
PubMed
概括

一种新的自学方法优化了接任务序列,以实现大规模个性化生产. 这种数据驱动的方法可以将接变形减少32%以上,从而提高智能接系统的生产力和灵活性.

关键词:
人工智能的人工智能是人工智能.混合数据和知识模型.智能接系统是一个智能接系统.自学自学的学习方式优化接序的优化 接序优化接任务的顺序排列

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相关实验视频

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科学领域:

  • 制造业 工程 制造工程
  • 材料科学 材料科学 材料科学
  • 人工智能的人工智能

背景情况:

  • 大规模个性化生产要求智能接系统具有更高的生产力和灵活性.
  • 当前的接任务测序方法可能无法充分解决变形预测和优化问题.
  • 在自动化制造业中,对适应性和智能解决方案的需求正在增长.

研究的目的:

  • 开发由数据和知识驱动的自学接任务测序方法.
  • 创建一个算法,准确预测接变形.
  • 优化接序列,以减少激光接支架结构的变形和提高效率.

主要方法:

  • 设计了一个最小化的接序列和相应的变形数据数据集.
  • 开发了一种用于接变形的预测算法,整合了领域知识.
  • 采用自学模型来对接任务进行序列和优化.
  • 使用有限元分析 (FEA) 作为基准的验证结果.

主要成果:

  • 与FEA相比,接变形预测算法达到8%的最大相对误差.
  • 与基于规则的推理相比,提出的自学方法将最大接变形减少了32.31%.
  • 优化的序列证明了激光接支架结构的有效性.

结论:

  • 开发的数据和知识驱动的自我学习方法对接序列规划是有效的.
  • 这种方法提高了智能接系统的灵活性和生产率.
  • 该方法在减少复杂结构的接变形方面提供了显著的改进.