Grinding optimization using nondestructive testing (NDT) and empirical models

IF 2.7 4区工程技术 Q2 ENGINEERING, MANUFACTURING

Machining Science and Technology Pub Date : 2024-01-03 DOI:10.1080/10910344.2023.2296677

Arttu Heininen, Suvi Santa-aho, Jannik Röttger, Pasi Julkunen, Kari T. Koskinen

引用次数: 0

Abstract

Proper choice of grinding parameters is important because productivity is limited by the possibility of grinding burns. Nondestructive testing (NDT), as Barkhausen noise (BN), can provide a tool fo...

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利用无损检测（NDT）和经验模型优化磨削工艺

正确选择磨削参数非常重要，因为磨削烧伤的可能性会限制生产率。无损检测（NDT），如巴克豪森噪声（BN），可为磨削参数的选择提供工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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

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