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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 7-8/2021

07.04.2021 | ORIGINAL ARTICLE

Optimization of cutting parameters in double-excitation ultrasonic elliptical vibration cutting of 630 stainless steel

verfasst von: Guosheng Geng, Yang Wang, Liang Zhang, Maohua Xiao

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 7-8/2021

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Abstract

An optimization method for parameters of 630 stainless steel via ultrasonic elliptical vibration cutting is proposed to solve problems of serious work hardening and susceptibility to build up during processing. AdvantEdge software is used for finite element simulation of the machining process. Influence of cutting speed, feed rate, and back-cutting amount on cutting force and temperature is analyzed. The dynamic model of cutting force and temperature is established, and fit of the prediction model is tested using analysis of variance. Finally, optimal cutting parameter plan for 630 stainless steel is fitted to minimize the cutting force and temperature during the machining process, and the model is verified and optimized through experiments. Both simulation and experimental results showed that elliptical vibration cutting can significantly reduce the cutting force and temperature in the machining of 630 stainless steel. The optimal combination of machining parameters is (v, f, ap) = (13.07, 0.1, 1).
Vorheriger Artikel Micromorphology of metallic surfaces for hydrophobicity by waterjet-guided laser processing
Nächster Artikel Tolerance analysis of the volumetric error of heavy-duty machine tool based on interval uncertainty

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Metadaten
Titel
Optimization of cutting parameters in double-excitation ultrasonic elliptical vibration cutting of 630 stainless steel
verfasst von
Guosheng Geng
Yang Wang
Liang Zhang
Maohua Xiao
Publikationsdatum
07.04.2021
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 7-8/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-06939-1

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