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Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals. [PDF]
Sensors (Basel), 2023 Tool wear condition monitoring is an important component of mechanical processing automation, and accurately identifying the wear status of tools can improve processing quality and production efficiency.
Zhang Y, Qi X, Wang T, He Y.
europepmc +2 more sources
Development and implementation of crater and flank tool wear model for hard turning simulations [PDF]
The International Journal of Advanced Manufacturing Technology, 2022 This paper concerns the tool wear in hard turning of AISI 52100 hardened steel by means of PCBN tools. The purposes of this work are the development of a tool wear model and its implementation in a FEM-based procedure for predicting crater and flank wear
Cristian Cappellini, Andrea Abeni
openalex +2 more sources
Study on In-Situ Tool Wear Detection during Micro End Milling Based on Machine Vision [PDF]
Micromachines, 2022 Most in situ tool wear monitoring methods during micro end milling rely on signals captured from the machining process to evaluate tool wear behavior; accurate positioning in the tool wear region and direct measurement of the level of wear are difficult ...
Xianghui Zhang +6 more
doaj +2 more sources
An overview of techniques for monitoring and compensating tool wear in micro-electrical discharge machining [PDF]
HeliyonMicro-electrical discharge machining (μEDM) is severely affected by tool wear and its process variants, which can lead to compromised precision and dimensional disruptions in micro-part production.
Rahul Nadda +5 more
doaj +2 more sources
Prediction of Tool Wear Rate and Tool Wear during Dry Orthogonal Cutting of Inconel 718
Metals, 2023 A new prediction method was proposed based on the positive feedback relationship between tool geometry and tool wear rate. Dry orthogonal cutting of Inconel 718 was used as a case study. Firstly, tool wear rate models and a tool wear prediction flowchart
Ziqi Zhang +3 more
doaj +1 more source
International Journal of Precision Engineering and Manufacturing - Green Technology, 2023 Cutting energy must be reduced in order to make machining processes more eco-friendly. More energy was expended for the same amount of material removed, hence a higher specific cutting energy (SCE) implies inefficient material removal.
M.K. Gupta +6 more
semanticscholar +1 more source
Lubricants, 2023 ADC12 aluminum alloy has been widely used in the aerospace, ship, and automotive fields because of its high specific strength, excellent die-casting performance, and wear resistance.
Xinxin Meng +3 more
doaj +1 more source
Tool Wear Monitoring with Artificial Intelligence Methods: A Review
Journal of Manufacturing and Materials Processing, 2023 Tool wear is one of the main issues encountered in the manufacturing industry during machining operations. In traditional machining for chip removal, it is necessary to know the wear of the tool since the modification of the geometric characteristics of ...
Roberto Munaro +2 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2023 Tool wear condition monitoring plays a crucial role in intelligent manufacturing systems to enhance machining quality and efficiency. The indirect methods employ various sensor signals to monitor tool wear condition, attracting wide attention in ...
Zhiwen Huang +6 more
semanticscholar +1 more source
The International Journal of Advanced Manufacturing Technology, 2022 During milling operations, wear of cutting tool is inevitable; therefore, tool condition monitoring is essential. One of the difficulties in detecting the state of milling tools is that they are visually inspected, and due to this, the milling process ...
M. Shah +5 more
semanticscholar +1 more source