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The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach

Radial ultrasonic rolling electrochemical micromachining (RUR-EMM) is a new method of electrochemical machining (ECM). By feeding small and rotating electrodes aided by ultrasonic rolling, an array of pits can be manufactured, which is called microstructures. However, there still exists the problem...

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Autores principales: He, Kailei, Chen, Xia, Wang, Minghuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696201/
https://www.ncbi.nlm.nih.gov/pubmed/33202701
http://dx.doi.org/10.3390/mi11111002
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author He, Kailei
Chen, Xia
Wang, Minghuan
author_facet He, Kailei
Chen, Xia
Wang, Minghuan
author_sort He, Kailei
collection PubMed
description Radial ultrasonic rolling electrochemical micromachining (RUR-EMM) is a new method of electrochemical machining (ECM). By feeding small and rotating electrodes aided by ultrasonic rolling, an array of pits can be manufactured, which is called microstructures. However, there still exists the problem of choosing the optimal machining parameters to realize the workpiece machining with high quality and high efficiency. In the present study, response surface methodology (RSM) was proposed to optimize the machining parameters. Firstly, the performance criteria of the RUR-EMM are measured through investigating the effect of working parameters, such as applied voltage, electrode rotation speed, pulse frequency and interelectrode gap (IEG), on material removal amount (MRA) and surface roughness (R(a)). Then, the experimental results are statistically analyzed and modeled through RSM. The regression model adequacies are checked using the analysis of variance. Furthermore, the optimal combination of these parameters has been evaluated and verified by experiment to maximize MRA and minimize R(a). The results show that each parameter has a similar and non-linear influence on the MRA and R(a). Specifically, with the increase of each parameter, MRA increases first and decreases when the parameters reach a certain value. On the contrary, R(a) decreases first and then increases. Under the combined effect of these parameters, the productivity is improved. The experimental value of MRA and R(a) is 0.06006 mm(2) and 51.1 nm, which were 0.8% and 2.4% different from the predicted values.
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spelling pubmed-76962012020-11-29 The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach He, Kailei Chen, Xia Wang, Minghuan Micromachines (Basel) Article Radial ultrasonic rolling electrochemical micromachining (RUR-EMM) is a new method of electrochemical machining (ECM). By feeding small and rotating electrodes aided by ultrasonic rolling, an array of pits can be manufactured, which is called microstructures. However, there still exists the problem of choosing the optimal machining parameters to realize the workpiece machining with high quality and high efficiency. In the present study, response surface methodology (RSM) was proposed to optimize the machining parameters. Firstly, the performance criteria of the RUR-EMM are measured through investigating the effect of working parameters, such as applied voltage, electrode rotation speed, pulse frequency and interelectrode gap (IEG), on material removal amount (MRA) and surface roughness (R(a)). Then, the experimental results are statistically analyzed and modeled through RSM. The regression model adequacies are checked using the analysis of variance. Furthermore, the optimal combination of these parameters has been evaluated and verified by experiment to maximize MRA and minimize R(a). The results show that each parameter has a similar and non-linear influence on the MRA and R(a). Specifically, with the increase of each parameter, MRA increases first and decreases when the parameters reach a certain value. On the contrary, R(a) decreases first and then increases. Under the combined effect of these parameters, the productivity is improved. The experimental value of MRA and R(a) is 0.06006 mm(2) and 51.1 nm, which were 0.8% and 2.4% different from the predicted values. MDPI 2020-11-13 /pmc/articles/PMC7696201/ /pubmed/33202701 http://dx.doi.org/10.3390/mi11111002 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
He, Kailei
Chen, Xia
Wang, Minghuan
The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title_full The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title_fullStr The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title_full_unstemmed The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title_short The Optimal Processing Parameters of Radial Ultrasonic Rolling Electrochemical Micromachining—RSM Approach
title_sort optimal processing parameters of radial ultrasonic rolling electrochemical micromachining—rsm approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696201/
https://www.ncbi.nlm.nih.gov/pubmed/33202701
http://dx.doi.org/10.3390/mi11111002
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