专题:Advanced machining processes and optimization

This cluster of papers focuses on advanced monitoring and optimization of machining operations, including topics such as surface integrity, tool wear, cutting parameters, chatter vibration, minimum quantity lubrication, and high speed machining. It also covers the machining of composite materials and the control of surface roughness in various machining processes.
最新文献
CT-based Implant Motion Analysis for diagnosing loosening of megaprostheses

article Full Text OpenAlex

Influence of Tooth Surface Wear on Dynamic Characteristics of Gear Systems Considering Three‐Dimensional Tooth Surface Geometric Errors

article Full Text OpenAlex

A Novel Hybrid FEM–Dynamic Modeling Approach for Enhanced Vibration Diagnostics in a Two-Stage Spur Gearbox

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Fabrication of a new type of electrically conductive micro-tracks via mechanical compression of beaded structures

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基于图像识别算法的金刚石表面飞秒激光损伤阈值自动测量方法

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Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remain useful life prediction: A state-of-the-art review and future challenges

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A high-efficiency technique for cutting silicone rubber molds using digital parting line data

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Digital Twin Models for Real-Time Failure Prediction in Industrial Machinery

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On the material removal processes and fibre deformation mechanisms in CFRP cutting based on a novel numerical model considering the strain rate effect

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Rapid deployment of digital twin for life prediction of rolling bearings

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近5年高被引文献
Experimental investigations and optimization of surface roughness in turning of en 36 alloy steel using response surface methodology and genetic algorithm

article Full Text OpenAlex 461 FWCI36.281

Bernstein Polynomials

article Full Text OpenAlex 377 FWCI8.143

Digital twin-driven intelligent assessment of gear surface degradation

article Full Text OpenAlex 342 FWCI41.55

A review of vibration-based gear wear monitoring and prediction techniques

review Full Text OpenAlex 298 FWCI9.69

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

article Full Text OpenAlex 273 FWCI29.641

Cryogenic minimum quantity lubrication machining: from mechanism to application

article Full Text OpenAlex 256 FWCI25.561

Predictive model of convective heat transfer coefficient in bone micro-grinding using nanofluid aerosol cooling

article Full Text OpenAlex 244 FWCI24.93

Digital twin, physics-based model, and machine learning applied to damage detection in structures

article Full Text OpenAlex 240 FWCI26.114

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

article Full Text OpenAlex 230 FWCI23.036

Phase transition and plastic deformation mechanisms induced by self-rotating grinding of GaN single crystals

article Full Text OpenAlex 230 FWCI16.133