Surface formation modeling and surface integrity research of normal ultrasonic assisted flexible abrasive belt grinding-Reference-Cited by-同舟云学术

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Surface formation modeling and surface integrity research of normal ultrasonic assisted flexible abrasive belt grinding

Published:2022-08 Issue: Volume:80 Page:232-246
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Li Shaochuan,Xiao Guijian,Chen Benqiang,Zhuo Xiaoqin,Xu Jiayu,Huang Yun

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference30 articles.

1. Review of ultrasonic vibration-assisted machining in advanced materials [J];Yang;Int J Mach Tools Manuf,2020

2. Ultrasonic abrasive belt precision grinding technology [J];Wang;Aviat Precis Manuf Technol.,1987

3. Experimental study on grinding 1Cr13 stainless steel with ultrasonic vibration precision belt [C];Huang,2007

4. Vibration coupling effects and machining behavior of ultrasonic vibration plate device for creep-feed grinding of inconel 718 nickel-based superalloy [J];Cao;Chin J Aeronaut,2022

5. Ultrasonic vibration-assisted grinding of silicon carbide ceramics based on actual amplitude measurement: grinding force and surface quality [J];Chen;Ceram Int,2021

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1. Improving zirconia ceramics grinding surface integrity through innovative laser bionic surface texturing;Ceramics International;2024-09

2. An Ultrasonic Vibration Scratch Tester for Studying the Scratch Characteristics of Materials under Ultrasonic Vibration Contact Status;Actuators;2024-07-11

3. Surface integrity characterization of third-generation nickel-based single crystal blade tenons after ultrasonic vibration-assisted grinding;Chinese Journal of Aeronautics;2024-07

4. An Experiment Study on Surface Topography of GH4169 Assisted by Ultrasonic Elliptical Vibration Ultra-Precision Turning;Applied Sciences;2024-06-25

5. Ensemble learning with support vector machines algorithm for surface roughness prediction in longitudinal vibratory ultrasound-assisted grinding;Precision Engineering;2024-06

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