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Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove
Micro-end-milling is a cutting technology that removes redundant material from machined workpieces by small-diameter end mills, and is widely used to manufacture miniature complex parts. During micro-end-milling, the cutting vibration caused by weak tool rigidity and high spindle speed is known as a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281379/ https://www.ncbi.nlm.nih.gov/pubmed/32414034 http://dx.doi.org/10.3390/mi11050494 |
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author | Ma, Lijie Howard, Ian Pang, Minghua Wang, Zhankui Su, Jianxiu |
author_facet | Ma, Lijie Howard, Ian Pang, Minghua Wang, Zhankui Su, Jianxiu |
author_sort | Ma, Lijie |
collection | PubMed |
description | Micro-end-milling is a cutting technology that removes redundant material from machined workpieces by small-diameter end mills, and is widely used to manufacture miniature complex parts. During micro-end-milling, the cutting vibration caused by weak tool rigidity and high spindle speed is known as a key factor for decreasing machined quality and accelerating tool failure. This study reports on experiments of micro-end-milling of the straight groove for AISI 1045 steel. The waveform characteristics of acceleration vibration were revealed, the relationship between acceleration and milling parameters were analyzed and two types of relationship models were developed. The results show that, during micro-end-milling of the straight groove, the components of acceleration vibration from largest to smallest are in turn the transverse acceleration α(Y), the feed acceleration α(X) and the axial acceleration α(Z). Compared with feed velocity v(f) and axial depth of cut a(p), the spindle speed n has the highest influence on cutting vibration. The response surface model of acceleration vibration was shown to have a higher prediction accuracy compared to the power function model and is more suitable for the prediction and control of cutting vibration during micro-end-milling. |
format | Online Article Text |
id | pubmed-7281379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72813792020-06-19 Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove Ma, Lijie Howard, Ian Pang, Minghua Wang, Zhankui Su, Jianxiu Micromachines (Basel) Article Micro-end-milling is a cutting technology that removes redundant material from machined workpieces by small-diameter end mills, and is widely used to manufacture miniature complex parts. During micro-end-milling, the cutting vibration caused by weak tool rigidity and high spindle speed is known as a key factor for decreasing machined quality and accelerating tool failure. This study reports on experiments of micro-end-milling of the straight groove for AISI 1045 steel. The waveform characteristics of acceleration vibration were revealed, the relationship between acceleration and milling parameters were analyzed and two types of relationship models were developed. The results show that, during micro-end-milling of the straight groove, the components of acceleration vibration from largest to smallest are in turn the transverse acceleration α(Y), the feed acceleration α(X) and the axial acceleration α(Z). Compared with feed velocity v(f) and axial depth of cut a(p), the spindle speed n has the highest influence on cutting vibration. The response surface model of acceleration vibration was shown to have a higher prediction accuracy compared to the power function model and is more suitable for the prediction and control of cutting vibration during micro-end-milling. MDPI 2020-05-13 /pmc/articles/PMC7281379/ /pubmed/32414034 http://dx.doi.org/10.3390/mi11050494 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Lijie Howard, Ian Pang, Minghua Wang, Zhankui Su, Jianxiu Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title | Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title_full | Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title_fullStr | Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title_full_unstemmed | Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title_short | Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove |
title_sort | experimental investigation of cutting vibration during micro-end-milling of the straight groove |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281379/ https://www.ncbi.nlm.nih.gov/pubmed/32414034 http://dx.doi.org/10.3390/mi11050494 |
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