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相关概念视频

Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

1.8K
Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area...
1.8K
Gauss's Law01:07

Gauss's Law

7.4K
If a closed surface does not have any charge inside where an electric field line can terminate, then the electric field line entering the surface at one point must necessarily exit at some other point of the surface. Therefore, if a closed surface does not have any charges inside the enclosed volume, then the electric flux through the surface is zero. What happens to the electric flux if there are some charges inside the enclosed volume? Gauss's law gives a quantitative answer to this question.
7.4K
Fatigue01:21

Fatigue

199
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
199
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

8.0K
A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
8.0K
Plastic Deformation in Circular Shafts01:20

Plastic Deformation in Circular Shafts

201
When materials are subjected to forces that surpass their yield strength, they undergo a process known as plastic deformation. This results in a permanent alteration or strain in their structure. This concept can be specifically applied to circular shafts, where the deformation leads to a change in its shape. The precise evaluation of this plastic deformation requires understanding the stress distribution within the circular shaft, which is achieved by calculating the maximum shearing stress in...
201
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

210
As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
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相关实验视频

Updated: Jul 15, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

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基于物理学的高斯过程用于工具磨损预测.

Kunpeng Zhu1, Chengyi Huang2, Si Li3

  • 1Institute of Precision Manufacturing, School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou 213164, China.

ISA transactions
|September 28, 2023
PubMed
概括

一个新的基于物理的高斯过程模型改善了CNC加工中的工具磨损监测 (TWM). 这种方法将物理和数据结合起来,以准确的预测和有限的数据,提高质量和安全.

关键词:
外加推算预测的预测.斯过程是高斯过程.物理模型 物理模型工具状况监测 工具状况监测

更多相关视频

Surrogate Model Development for Digital Experiments in Welding
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Surrogate Model Development for Digital Experiments in Welding

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Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
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Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments

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相关实验视频

Last Updated: Jul 15, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.2K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

997
Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
11:47

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科学领域:

  • 机械工程 机械工程
  • 机器学习 机器学习
  • 制造业 制造技术 制造技术

背景情况:

  • 工具磨损监测 (TWM) 对CNC加工质量和安全至关重要.
  • 数据驱动的TWM需要大量的数据和复杂的模型.
  • 基于物理学的TWM模型在适应不同条件时扎.

研究的目的:

  • 开发一种新的基于物理的高斯过程模型,用于准确预测工具磨损.
  • 整合基于物理和数据的TWM方法的优势.
  • 为了在有限的可用传感器数据的情况下实现有效的TWM.

主要方法:

  • 开发了一个基于物理的高斯过程回归 (PB-GPR) 模型,结合了三个物理工具磨损模型.
  • 使用磨损模型限制高斯过程平均函数,以提高物理相关性.
  • 利用多传感器信号和多域特征进行模型训练和更新.
  • 启用了小数据训练和模型适应新测量.

主要成果:

  • PB-GPR模型在工具磨损预测准确度方面取得了显著的改进.
  • 与传统方法相比,拟议的方法在推断中显示出更强大的稳定性.
  • 通过高速削实验验证的验证证实了该模型的有效性.

结论:

  • 基于物理的高斯过程模型为CNC加工中TWM提供了一种优越的方法.
  • 这种方法有效地平衡了物理原理与数据驱动的学习,以实现实际应用.
  • PB-GPR模型为现实世界工具磨损预测挑战提供了强大而准确的解决方案.