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相关概念视频

Information Processing Approach01:30

Information Processing Approach

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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

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Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
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Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

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Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
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Reinforcement01:23

Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility02:34

Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility

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Intermolecular forces are attractive forces that exist between molecules. They dictate several bulk properties, such as melting points, boiling points, and solubilities (miscibilities) of substances. Molar mass, molecular shape, and polarity affect the strength of different intermolecular forces, which influence the magnitude of physical properties across a family of molecules.
Temporary attractive forces like dispersion are present in all molecules, whether they are polar or nonpolar. They...
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相关实验视频

Updated: Feb 4, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
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选择性激光化的多层过程控制:一种强化学习方法.

Stylianos Vagenas1, Taha Al-Saadi1, George Panoutsos1

  • 1Department of Automatic Control & Systems Engineering, University of Sheffield, Sheffield, UK.

Journal of intelligent manufacturing
|February 3, 2026
PubMed
概括

强化学习增强了粉床融合 (PBF) 3D打印的控制. 这种数据驱动的方法有效地管理了选择性激光融中的复杂热问题,从而可以更好地控制完整的3D部件.

科学领域:

  • 添加剂制造 添加剂制造 添加剂制造
  • 材料科学 材料科学 材料科学
  • 机器学习 机器学习

背景情况:

  • 粉床融合 (PBF) 是3D零件的关键增材制造技术.
  • 在PBF中,复杂的物理现象阻碍了分析建模和以控制为导向的3D模型.
  • 由于这些建模挑战,目前的PBF过程控制落后于其他制造业.

研究的目的:

  • 引入强化学习 (RL) 框架,用于PBF的先进过程控制.
  • 为了解决PBF中缺乏集成的,以控制为导向的模型.
  • 为了证明RL在控制多层PBF工艺,特别是选择性激光化的有效性.

主要方法:

  • 利用强化学习 (RL) 框架,一种适用于复杂或未知的过程模型的数据驱动方法.
  • 专注于选择性激光化,一种基于激光的PBF工艺.
  • 强调了在PBF应用中RL培训稳定的重要性.

主要成果:

  • 成功展示了RL过程控制框架对完整3D部件 (多层) 的好处.
  • 展示了PBF固有的热积累问题的有效管理.
  • 证实了框架能够实现强大的整体流程控制的能力.
关键词:
粉末床核聚变是如何实现的过程控制 过程控制强化学习是一种强化学习.选择性激光融技术 选择性激光融技术Ti6Al4V 的时间

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结论:

  • 强化学习为粉末床融合中先进的过程控制提供了可行的解决方案.
  • 该RL框架有效地解决了热管理挑战,改善了对复杂3D部件制造的控制.
  • 这项研究为通过智能控制策略提高PBF过程稳定性和质量开辟了新的途径.