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 +3 more sources
A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation [PDF]
Entropy, 2022 The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry.
Yongrui Qin +4 more
doaj +2 more sources
Local-feature and global-dependency based tool wear prediction using deep learning [PDF]
Scientific Reports, 2022 Evaluation of tool wear is vital in manufacturing system, since early detections on worn-out condition can ensure workpiece quality, improve machining efficiency. With the development of intelligent manufacturing, tool wear prediction technology plays an
Changsen Yang +4 more
doaj +2 more sources
Tool Wear Prediction When Machining with Self-Propelled Rotary Tools. [PDF]
Materials (Basel), 2022 The performance of a self-propelled rotary carbide tool when cutting hardened steel is evaluated in this study. Although various models for evaluating tool wear in traditional (fixed) tools have been introduced and deployed, there have been no efforts in the existing literature to predict the progression of tool wear while employing self-propelled ...
Umer U +5 more
europepmc +3 more sources
Machine Tool Wear Prediction Technology Based on Multi-Sensor Information Fusion [PDF]
SensorsThe intelligent monitoring of cutting tools used in the manufacturing industry is steadily becoming more convenient. To accurately predict the state of tools and tool breakages, this study proposes a tool wear prediction technique based on multi-sensor ...
Kang Wang +3 more
doaj +2 more sources
A Novel Piecewise Cubic Hermite Interpolating Polynomial-Enhanced Convolutional Gated Recurrent Method under Multiple Sensor Feature Fusion for Tool Wear Prediction [PDF]
SensorsThe monitoring of the lifetime of cutting tools often faces problems such as life data loss, drift, and distortion. The prediction of the lifetime in this situation is greatly compromised with respect to the accuracy.
Jigang He +5 more
doaj +2 more sources
Multi-Sensor Heterogeneous Signal Fusion Transformer for Tool Wear Prediction [PDF]
SensorsIn tool wear monitoring, the efficient fusion of multi-source sensor signals poses significant challenges due to their inherent heterogeneous characteristics.
Ju Zhou +5 more
doaj +2 more sources
Computer Numerical Control CNC Machine Health Prediction using Multi-domain Feature Extraction and Deep Neural Network Regression [PDF]
Journal of Engineering Research - Egypt, 2022 Tool wear monitoring has become more vital in intelligent production to enhance Computer Numerical Control CNC machine health state. Multidomain features may effectively define tool wear status and help tool wear prediction.
Dina adel +4 more
doaj +1 more source
IEEE Access, 2021 Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality and reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) for tool wear ...
Jiachen Yao, Baochun Lu, Junli Zhang
doaj +1 more source
Explainable AI for tool wear prediction in turning
CoRR, 2023 This research aims develop an Explainable Artificial Intelligence (XAI) framework to facilitate human-understandable solutions for tool wear prediction during turning. A random forest algorithm was used as the supervised Machine Learning (ML) classifier for training and binary classification using acceleration, acoustics, temperature, and spindle speed
Saleh Valizadeh Sotubadi +2 more
openaire +2 more sources