Research on Multi-Physics Coupling Simulation for the Pulse Electrochemical Machining of Holes with Tube Electrodes.

accuracy duty ratio electrochemical machining inlet pressure lateral gap period stability

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
11 Aug 2021
Historique:
received: 19 07 2021
revised: 09 08 2021
accepted: 10 08 2021
entrez: 27 8 2021
pubmed: 28 8 2021
medline: 28 8 2021
Statut: epublish

Résumé

Electrical parameters of the power supply are significant factors affecting the accuracy and stability of the electrochemical machining (ECM). However, the electric field, flow velocity and temperature in the machining area are difficult to measure directly under the influence of the power supply. Therefore, taking the film cooling hole as an example, the multi-physics coupling simulation analysis of the ECM is performed on the basis of Faraday's law and fluid heat transfer mathematical model. The machining characteristics of the direct current and pulse ECM are compared through simulation. The results show that the pulse ECM improves the distribution of temperature and current density in the machining area. The period has little effect on the temperature, current density and side removal rate. The side removal rate increases with the increase of the duty ratio and lateral gap. Increasing of the duty ratio and decreasing of the lateral gap will increase the temperature and current density. Increasing the inlet pressure accelerates the frequency of renewal of heat and electrolysis products, which can reduce the single side gap. The experience of the ECM holes verifies the results of the simulation. The accuracy and stability of the ECM of holes are enhanced by optimizing the duty ratio, lateral gap and inlet pressure.

Identifiants

pubmed: 34442572
pii: mi12080950
doi: 10.3390/mi12080950
pmc: PMC8398388
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Natural Science Foundation of China
ID : 52075134

Références

Materials (Basel). 2020 Dec 17;13(24):
pubmed: 33348906

Auteurs

Zhaolong Li (Z)

Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Bingren Cao (B)

School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Ye Dai (Y)

Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Classifications MeSH