Investigation of Gaussian mixture clustering model for online diagnosis of tip-wear in nanomachining

Author:

Cheng Fei,Zhai Shi-Chen,Dong Jingyan

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. Material-insensitive feature depth control and machining force reduction by ultrasonic vibration in AFM-based nano-machining;Zhang;IEEE Trans Nanotechnol,2013

2. High-rate tunable ultrasonic force regulated nanomachining lithography with an atomic force microscope;Zhang;Nanotechnology,2013

3. Study of tip wear for AFM-based vibration-assisted Nano machining process;Kong;J Manuf Process,2020

4. Revealing the 3-dimensional shape of atom probe tips by atomic force microscopy;Fleischmann;Ultramicroscopy,2018

5. Analysis of Al-SiCp Nano composite and study of its machining process by using coated carbide tool;Swain;Mater Today: Proc,2020

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