Review of Recent Methods and Learning Techniques in Prediction of Tool Life
UF Izdihar, B Patel, ZF Huang… - International …, 2023 - asmedigitalcollection.asme.org
The reliability of the cutting tool is a key factor in accomplishing the objective of the
machining processes. The methods and learning techniques to predict the tool life have …
machining processes. The methods and learning techniques to predict the tool life have …
[PDF][PDF] Prediction of tool condition during turning of aluminium/alumina/graphite hybrid metal matrix composites using machine learning approach
N Radhika - Journal of Engineering Science and Technology, 2015 - researchgate.net
Aluminium/alumina/graphite hybrid metal matrix composites manufactured using stir casting
technique was subjected to machining studies to predict tool condition during machining …
technique was subjected to machining studies to predict tool condition during machining …
Tool condition monitoring based on dynamic sensitivity of a tool-workpiece system
X Jiang, B Li, X Mao, C Hao, H Liu - The International Journal of Advanced …, 2018 - Springer
This paper studies the dynamic sensitivity-based tool condition monitoring and finds the
factors that affect tool wear under operation. First, the dynamic sensitivity of the method is …
factors that affect tool wear under operation. First, the dynamic sensitivity of the method is …
Vibration measurement of a cutting tool using root-embedded PZT sensor
AB Haddad, BOF Al-Bedoor - Journal of Quality in Maintenance …, 2021 - emerald.com
Purpose In this paper, a vibration measuring technique that relies on the use of piezoelectric
material and is originally developed to measure the vibration of turbine blade is adopted to …
material and is originally developed to measure the vibration of turbine blade is adopted to …
Design Considerations for Development of a Wire-Based Rock Cutting Mechanism for Space Exploration
JR Schwendeman, CB Dreyer, JPH Steele - 2010 - asmedigitalcollection.asme.org
Exploration and understanding of other celestial bodies will involve the same type of science
used to understand our own planet earth. Specifically, much can be learned from studying …
used to understand our own planet earth. Specifically, much can be learned from studying …
Cutting Tool Condition Monitoring Based on a Machine Learning Approach by Using Vibration Signals
In metal cutting operations, tool wear could result in higher energy utilization, excessive tool
vibration, and deteriorated surface finish quality. Therefore, tool wear monitoring is critical to …
vibration, and deteriorated surface finish quality. Therefore, tool wear monitoring is critical to …
[HTML][HTML] An optical fiber measurement system design on tool radial vibration
J Binghui, F Yong - Vibroengineering Procedia, 2017 - extrica.com
The effects of tool radial vibration bring not only poor surface quality, inferior dimensional
accuracy, but also disproportionate tool wear or tool breakage and excessive noise …
accuracy, but also disproportionate tool wear or tool breakage and excessive noise …
A novel in-situ tool wear monitoring approach using multivariate signal processing and intrinsic multiscale entropy analysis
Tool wear significantly affects the interface condition between the machining tool and the
workpiece, causing nonlinear vibrations that negatively impact machining quality. The …
workpiece, causing nonlinear vibrations that negatively impact machining quality. The …
The application of gray theory on wire cut electric discharge machine non-resistance sparkle circuit prediction
SH Chen, CP Wang - The International Journal of Advanced …, 2018 - Springer
The development and research of the green manufacturing technology is relatively
important. In order to improve processing efficiency of modern wire cut electric discharge …
important. In order to improve processing efficiency of modern wire cut electric discharge …
[引用][C] Qualification of metalworking fluids by Tapping Torque Tests and related Acoustic Emission-based classifications
AL Demmerling - 2023 - Dissertation, Duisburg, Essen …