Research on Characteristic of Test Specimen for Five-axis CNC Machine Tools
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MFAFENet: A Multi-Sensor Collaborative and Multi-Scale Feature Information Adaptive Fusion Network for Spindle Rotational Error Classification in CNC Machine Tools. [PDF]
Wang F, Song L, Wang P, Deng P, Lan T.
europepmc +1 more source
Five-Axis Micro Ball-End Milling Force Prediction for Micro Curved-Surface Parts. [PDF]
Yan Z, Yang Y, Wang S, Yang C, Qin R.
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VLM-guided retrieval augmented generation (RAG) for robot action prediction. [PDF]
Kuster B +5 more
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Performance Analysis of Advanced Feature Extraction Methods for Manufacturing Defect Detection via Vibration Sensors in CNC Milling Machines. [PDF]
Bilgin G.
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A Lightweight Multi-Sensor Feature-Level Fusion Framework for Noise-Robust Fault Diagnosis of High-Precision Milling Machines. [PDF]
Xu Z, Lu N, Jin L.
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DARTS-CNN-BiLSTM: Intelligent Fault Diagnosis for Computer Numerical Control Machine Tool Feed System. [PDF]
Li Y, Liang X, Na L, Guo G, Su P.
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Machining Micro-Error Compensation Methods for External Turning Tool Wear of CNC Machines. [PDF]
Zhang H, Lu T, Xia Z, Zhang Z, Zhu J.
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Bionic optimization design of bed for high-precision turn-milling compound machine tool based on the honeycomb structure. [PDF]
Bing X +5 more
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Self-Standing Doughs of SiAlONs Enable Low-Volume Production through Green Machining. [PDF]
Ay A +6 more
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