Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review
L Kong, X Peng, Y Chen, P Wang… - International journal of …, 2020 - iopscience.iop.org
Due to the rapid development of precision manufacturing technology, much research has
been conducted in the field of multisensor measurement and data fusion technology with a …
been conducted in the field of multisensor measurement and data fusion technology with a …
Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review
Abrasive finishing processes such as grinding, lap** or disc polishing are one of the most
practical means for processing materials to manufacture products with fine surface finish …
practical means for processing materials to manufacture products with fine surface finish …
A new tool wear condition monitoring method based on deep learning under small samples
Y Zhou, G Zhi, W Chen, Q Qian, D He, B Sun, W Sun - Measurement, 2022 - Elsevier
Tool wear condition monitoring (TCM) is an important part of machining automation. In
recent years, deep learning (DL) based TCM methods have been widely researched …
recent years, deep learning (DL) based TCM methods have been widely researched …
Review of tool condition monitoring methods in milling processes
Y Zhou, W Xue - The International Journal of Advanced Manufacturing …, 2018 - Springer
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. However, while considerable research has been conducted in industrial …
milling processes. However, while considerable research has been conducted in industrial …
In-process stochastic tool wear identification and its application to the improved cutting force modeling of micro milling
X Zhang, T Yu, P Xu, J Zhao - Mechanical Systems and Signal Processing, 2022 - Elsevier
Micro milling aims to manufacture miniature structures with high quality and complex
features, and the stochastic time-varying tool wear is a crucial factor which has great …
features, and the stochastic time-varying tool wear is a crucial factor which has great …
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process
Y Zhou, B Sun, W Sun, Z Lei - Journal of Intelligent Manufacturing, 2022 - Springer
Tool condition monitoring (TCM) in numerical control machines plays an essential role in
ensuring high manufacturing quality. The TCM process is conducted according to the data …
ensuring high manufacturing quality. The TCM process is conducted according to the data …
Review of advances in tool condition monitoring techniques in the milling process
Milling is an extremely adaptable process that can be utilized to fabricate a wide range of
shapes and intricate 3D geometries. The versatility of the milling process renders it useful for …
shapes and intricate 3D geometries. The versatility of the milling process renders it useful for …
Tool wear condition monitoring in milling process based on current sensors
Y Zhou, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate tool condition monitoring (TCM) is essential for the development of fully automated
milling processes. This is typically accomplished using indirect TCM methods that …
milling processes. This is typically accomplished using indirect TCM methods that …
A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling
Y Zhou, B Sun, W Sun - Measurement, 2020 - Elsevier
Tool condition monitoring (TCM) in numerical control (NC) machines plays a significant role
in ensuring manufacturing quality. TCM based on multiple sensors can provide more …
in ensuring manufacturing quality. TCM based on multiple sensors can provide more …
Towards green machining: wear analysis of a novel eco-friendly cooling strategy for Inconel 718
Inconel 718, valued for its remarkable mechanical, corrosion, and high-temperature
resistance up to 700° C, is a predominant material constituting almost half of all global …
resistance up to 700° C, is a predominant material constituting almost half of all global …