专题：Advanced Machining and Optimization Techniques

This cluster of papers represents the advancements and research trends in Electrical Discharge Machining (EDM), including topics such as micromachining, wire EDM, electrochemical machining, optimization of process parameters, surface modification, and the use of hybrid processes. The papers cover a wide range of studies on material removal rate, Taguchi method, and the influence of various factors on EDM performance.
最新文献
Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes

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Process Optimization on Trepanning Drilling in Titanium Alloy Using a Picosecond Laser via an Orthogonal Experiment

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Predictive Modeling and Experimental Investigation of Material Removal Profiles in Ultrasonic-Assisted Shear Thickening Polishing of 4H-SiC Crystals

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A mutual cross-attention fusion network for surface roughness prediction in robotic machining process using internal and external signals

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Physics-informed self-supervised learning for tool wear monitoring leveraging signal and degradation features under limited labels

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Optimization of clamping conditions in thin-walled part machining to minimize forced vibrations, part II: Dynamic updating of clamping force and location with position dependent dynamics

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A Reliable Hybrid Extreme Learning Machine-Metaheuristic Framework for Enhanced Strength Prediction of 3D-Printed Fiber-Reinforced Concrete

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Sensor-Based Diagnostics for Conveyor Belt Condition Monitoring and Predictive Refurbishment

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

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Comparative analysis of cutting performance and dead metal zone in ductile iron machining using PCBN chamfered tools with and without micro-pit texture

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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 470 FWCI36.37

Digital twin-driven intelligent assessment of gear surface degradation

article Full Text OpenAlex 367 FWCI41.241

Fabrication Methods for Microfluidic Devices: An Overview

review Full Text OpenAlex 364 FWCI6.64

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

article Full Text OpenAlex 279 FWCI29.625

Metal additive manufacturing in structural engineering – review, advances, opportunities and outlook

article Full Text OpenAlex 230 FWCI26.103

Surface integrity in metal machining - Part II: Functional performance

article Full Text OpenAlex 229 FWCI19.245

Carbon fiber reinforced polymer in drilling: From damage mechanisms to suppression

article Full Text OpenAlex 228 FWCI25.379

A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges

review Full Text OpenAlex 222 FWCI4.893

A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys

review Full Text OpenAlex 214 FWCI4.551

A comprehensive review on research developments of vegetable-oil based cutting fluids for sustainable machining challenges

review Full Text OpenAlex 207 FWCI4.314