机器学习与声发射信号特征相结合,用于估计铬镍铁合金 718 超声波加工过程中的刀具磨损情况

IF 2.7 4区 工程技术 Q2 ENGINEERING, MANUFACTURING Machining Science and Technology Pub Date : 2024-01-10 DOI:10.1080/10910344.2023.2299443
Mehdi Mehtab Mirad, Bipul Das
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Machine learning coupled with acoustic emission signal features for tool wear estimation during ultrasonic machining of Inconel 718
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来源期刊
Machining Science and Technology
Machining Science and Technology 工程技术-材料科学:综合
CiteScore
5.70
自引率
3.70%
发文量
18
审稿时长
6 months
期刊介绍: Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to traditional and nontraditional machining processes performed on all materials—metals and advanced alloys, polymers, ceramics, composites, and biomaterials. Topics covered include: -machining performance of all materials, including lightweight materials- coated and special cutting tools: design and machining performance evaluation- predictive models for machining performance and optimization, including machining dynamics- measurement and analysis of machined surfaces- sustainable machining: dry, near-dry, or Minimum Quantity Lubrication (MQL) and cryogenic machining processes precision and micro/nano machining- design and implementation of in-process sensors for monitoring and control of machining performance- surface integrity in machining processes, including detection and characterization of machining damage- new and advanced abrasive machining processes: design and performance analysis- cutting fluids and special coolants/lubricants- nontraditional and hybrid machining processes, including EDM, ECM, laser and plasma-assisted machining, waterjet and abrasive waterjet machining
期刊最新文献
Investigation on the machining characteristics of AZ91 magnesium alloy using uncoated and CVD-diamond coated WC-Co inserts Combination of minimum quantity lubrication (MQL) with solid lubricant (SL): challenges, predictions and implications for sustainability Novel insights into conventional machining of metal additive manufactured components: a comprehensive review Numerical modeling of heat flux in ultrasonic-assisted grinding of difficult-to-cut materials with a pressurized lubrication system The performance of grooved turning tools under distinct cooling environments
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