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相关概念视频

Internal Combustion Engine01:20

Internal Combustion Engine

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The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
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The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
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The design of a transmission shaft is governed by two primary specifications: the power it transmits and its rotational speed. These parameters guide the selection of the shaft's material and cross-sectional dimensions, ensuring that the material's maximum shearing stress remains within the elastic limit while transmitting the desired power at the given speed. The system's power is intrinsically linked to the applied torque. The torque applied to the shaft can be calculated by reconfiguring the...
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一个可转移的数字双驱动过程设计框架,用于高性能多喷气抛光.

Honglei Mo1, Xie Chen1, Lingxi Guo1

  • 1Shanghai Aerospace Control Technology Institute, Shanghai 201109, China.

Micromachines
|February 27, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了一个数字双胞胎 (DT) 驱动的框架,以提高多喷射抛光 (MJP) 的效率和质量. 转移学习模型增强了表面粗度预测,适应不断变化的条件,以获得更好的制造结果.

关键词:
数字双胞胎数字双胞胎是什么意思流体喷射抛光 抛光 流体喷射抛光机械加工过程的加工过程.表面粗度预测的预测转移学习转移学习

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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
  • 计算机科学 计算机科学

背景情况:

  • 多喷射抛光 (MJP) 为复杂的表面提供了高精度,但在效率,复杂性和稳定性方面面临挑战,特别是在不断变化的条件下.
  • 在可变的工作条件下保持一致的抛光质量仍然是MJP应用中的一个重大障碍.

研究的目的:

  • 提出一个以数字双胞胎 (DT) 为驱动,以人为中心的设计框架,以优化多喷气抛光 (MJP).
  • 为了提高MJP在不同操作参数下的表面粗度预测准确性和稳定性.
  • 在数据稀缺和不确定性下,为复杂的超精密制造提供预测建模解决方案.

主要方法:

  • 开发一个数字双胞胎 (DT) 驱动的框架,集成关键的MJP因素:喷射动能,喷嘴结构,磨料类型和加工路径.
  • 实现基于特征编码转移学习的模型,用于表面粗度预测.
  • 在两个不同的MJP工作条件下使用3D打印工件进行实验验证.

主要成果:

  • 与传统方法相比,拟议的模型显示出优异的预测性能.
  • 该模型在表面粗性预测中表现出增强的强度和跨条件适应性.
  • 实验结果证实了DT驱动框架和转移学习方法的有效性.

结论:

  • 开发的预测建模组件支持MJP的DT驱动过程设计.
  • 该框架提供了一种实用且可扩展的方法来优化超精密制造工艺.
  • 这项工作解决了数据稀缺和不确定性占主导地位的制造业环境中的挑战.