Advanced machining processes and optimization -- 专题文献

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 470 FWCI36.37

Bernstein Polynomials

article Full Text OpenAlex 375 FWCI7.854

Digital twin-driven intelligent assessment of gear surface degradation

article Full Text OpenAlex 367 FWCI41.241

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

review Full Text OpenAlex 334 FWCI9.917

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

article Full Text OpenAlex 279 FWCI29.625

Cryogenic minimum quantity lubrication machining: from mechanism to application

article Full Text OpenAlex 270 FWCI25.554

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

article Full Text OpenAlex 259 FWCI29.004

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

article Full Text OpenAlex 257 FWCI24.923

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

article Full Text OpenAlex 256 FWCI26.248

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

article Full Text OpenAlex 247 FWCI16.154

专题：Advanced machining processes and optimization

最新文献

An interpretable physics-informed subdomain moment-enhanced adaptation network for unsupervised transfer fault diagnosis of rolling bearing

Tool wear in enhanced minimum quantity lubrication assisted milling: from mechanism to application

Prestress Assisted Machining: achieving high surface integrity in thin wall milling

A Comprehensive Review on the Integration of Artificial Intelligence in Friction Stir Welding for Monitoring, Modelling, and Process Optimization

Data-driven approach for optimizing the Czochralski process and predictive modeling: A finite element and machine learning analysis

AI-powered hybrid metaheuristic optimization for predicting surface roughness and kerf width in CO ₂ laser cutting of 3D-printed PLA-CF composites

A multi-scale spatial–temporal interaction fusion network for digital twin-based thermal error compensation in precision machine tools

Investigation on machinability and sustainability aspects during hard turning under GO nanofluid MQL environment for precision and cleaner manufacturing

Wear behavior of coated cermet/carbide tools during high-speed turning of 18CrNiMo7-6 steel and its associated surface integrity evaluations

Evaluation of Surface Integrity of Multi-Energy Field Coupling-Assisted Micro-Grinding Hastelloy Alloy

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

Bernstein Polynomials

Digital twin-driven intelligent assessment of gear surface degradation

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

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

Cryogenic minimum quantity lubrication machining: from mechanism to application

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

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

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

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

专题：Advanced machining processes and optimization

最新文献

An interpretable physics-informed subdomain moment-enhanced adaptation network for unsupervised transfer fault diagnosis of rolling bearing

Tool wear in enhanced minimum quantity lubrication assisted milling: from mechanism to application

Prestress Assisted Machining: achieving high surface integrity in thin wall milling

A Comprehensive Review on the Integration of Artificial Intelligence in Friction Stir Welding for Monitoring, Modelling, and Process Optimization

Data-driven approach for optimizing the Czochralski process and predictive modeling: A finite element and machine learning analysis

AI-powered hybrid metaheuristic optimization for predicting surface roughness and kerf width in CO 2 laser cutting of 3D-printed PLA-CF composites

A multi-scale spatial–temporal interaction fusion network for digital twin-based thermal error compensation in precision machine tools

Investigation on machinability and sustainability aspects during hard turning under GO nanofluid MQL environment for precision and cleaner manufacturing

Wear behavior of coated cermet/carbide tools during high-speed turning of 18CrNiMo7-6 steel and its associated surface integrity evaluations

Evaluation of Surface Integrity of Multi-Energy Field Coupling-Assisted Micro-Grinding Hastelloy Alloy

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

Bernstein Polynomials

Digital twin-driven intelligent assessment of gear surface degradation

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

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

Cryogenic minimum quantity lubrication machining: from mechanism to application

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

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

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

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

AI-powered hybrid metaheuristic optimization for predicting surface roughness and kerf width in CO ₂ laser cutting of 3D-printed PLA-CF composites