Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Wood Surfacing

Wood Surfacing

Wood surfacing is a critical finishing process designed to smoothen the wood surface, enhance its dimensional accuracy, and make handling safer. This process compensates for potential shrinkage during the seasoning phase by marginally increasing the wood dimensions before surfacing. It also helps correct some distortions that may occur as the wood dries.
The equipment used in the surfacing process is a plane equipped with rotating blades. This tool efficiently smoothens the wood surface and can...

Response Surface Methodology

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

An upper limb stroke rehabilitation exercise video dataset.

Data in brief·2026

Same author

A novel multi-stage attack dataset for smart home intrusion detection.

Data in brief·2026

Same author

A Sensor based turning dataset for data-driven surface roughness estimation.

Scientific data·2026

Same author

Cross domain fault diagnosis in internal combustion engines using multisensor data with transfer federated and transformer based federated transfer learning.

Scientific reports·2025

Same author

TLFS23 Tamil language fingerspelling dataset.

Data in brief·2024

Search research articles

相关实验视频

Updated: May 11, 2026

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

一个声学数据集用于在加工过程中估计表面粗度.

N R Sakthivel¹, Josmin Cherian¹, Binoy B Nair²

¹Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.

|December 5, 2024

概括

这项研究引入了来自削过程的声学信号的新数据集,以预测表面粗度. 这种资源使机械加工质量控制使用声音分析的进步.

关键词:

一个声学学术.状态监控状态监控状态监控机器学习是机器学习.机械加工机械加工机械加工磨削磨削的方法磨削

更多相关视频

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Published on: January 17, 2025

相关实验视频

Last Updated: May 11, 2026

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Evanescent Field Based Photoacoustics: Optical Property Evaluation at Surfaces

Published on: July 26, 2016

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Published on: January 17, 2025

科学领域:

制造业工程制造工程
声学声学在声学方面
材料科学材料科学材料科学

背景情况:

表面粗度是加工中的关键质量指数,影响产品性能,需要准确的预测.
目前用于评估表面粗度的方法可能耗时,可能无法捕捉动态过程变化.
在加工过程中产生的声信号为实时质量监测提供了潜在的非侵入性方法.

研究的目的:

创建和发布第一个公开可用的数据集,将声信号与削操作中的表面粗度测量相关联.
用声学数据证明估计表面粗度的可行性.
促进非破坏性评估和加工过程优化领域的研发.

主要方法:

使用碳化工具在轻钢加工过程中录制7444个声信号的音频文件.
不同的加工参数:速度,料率和切割深度.
测量每个条件的表面粗度,使用卡尔·扎伊斯E-35B型号仪,并与声学样本一起提供数据.

主要成果:

该数据集建立了声学特征与测量表面粗度值之间的直接联系.
提供了一个示例工作流程,展示了从声信号估计表面粗度的潜力.
这些数据支持开发基于声学的模型来预测加工质量.

结论:

这一数据集是制造和声学领域的研究人员和工程师的宝贵资源.
利用声信号来预测表面粗度,为工艺中质量控制提供了一种新的方法.
这些发现为智能加工系统铺平了道路,这些系统可以根据声音反进行监测和调整.