Investigation of the Surface Characteristics of GCr15 in Electrochemical Machining

Bearing steel (GCr15) is widely used in key parts of mechanical transmission for its excellent mechanical properties. Electrochemical machining (ECM) is a potential method for machining GCr15, as the machining process is the electrochemical dissolution of GCr15 regardless of its high hardness (>50 HRC). In ECM, NaNO<sub>3</sub> solution is a popular electrolyte, as it has the ability to help in the nonlinear dissolution of many metallic alloy materials, making it useful for precision machining. However, due to high carbon content of GCr15, the electrochemical dissolution of GCr15 is unique, and there is always a black layer with high roughness on the machined surface, reducing the surface quality. In order to improve the electrochemical machining of GCr15 with a high surface quality, the surface characteristics of GCr15 in ECM were investigated. The anodic polarisation curve in the NaNO<sub>3</sub> electrolyte was measured and electrochemical dissolution experiments were conducted with different current densities. SEM, XRD, and XPS were employed to analyse the surface morphology and composition formed on the machined surface at different current densities. The initial results showed that there were two parts (black part and bright part) formed on the machined surface when a short circuit occurred, and the test results suggested that the black part contained a mass of Fe<sub>3</sub>O<sub>4</sub> while the bright part was composed of mainly Fe and Fe<sub>3</sub>C. Further investigation uncovered that a black flocculent layer (Fe<sub>3</sub>O<sub>4</sub>) always formed in a low current density (32 A/cm<sup>2</sup>) with high roughness. With the current density increased, the amount of black flocculent layer was reduced, and Fe<sub>3</sub>C particles appeared on the machined surface. When the current density reached 81 A/cm<sup>2</sup>, the entire flocculent oxide layer was removed, only some spherical Fe<sub>3</sub>C particles were inserted on the machined surface, and the roughness was reduced from Ra7.743 μm to Ra1.783 μm. In addition, due to exposed Fe<sub>3</sub>C particles on the machined surface, the corrosion resistance of the machined surface was significantly improved. Finally, circular arc grooves of high quality were well manufactured with current density of 81 A/cm<sup>2</sup> in NaNO<sub>3</sub> electrolyte.

Authors

Institutions

Publication Details

Journal
Micromachines
Published
2024-08-23
DOI
https://doi.org/10.3390/mi15091062
Citations
5
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the Surface Characteristics of GCr15 in Electrochemical Machining

Guokang Su, Chuanyun Zhang, Yongjun Zhang, Xuesong Liu et al.
5 citations
Micromachines
Advanced Machining and Optimization Techniques
1.04
article

Investigation of the Surface Characteristics of GCr15 in Electrochemical Machining

Guokang Su, Chuanyun Zhang, Yongjun Zhang, Xuesong Liu, Hua Chen, Qingming Fan
article en
5 citations

Abstract

Bearing steel (GCr15) is widely used in key parts of mechanical transmission for its excellent mechanical properties. Electrochemical machining (ECM) is a potential method for machining GCr15, as the machining process is the electrochemical dissolution of GCr15 regardless of its high hardness (>50 HRC). In ECM, NaNO<sub>3</sub> solution is a popular electrolyte, as it has the ability to help in the nonlinear dissolution of many metallic alloy materials, making it useful for precision machining. However, due to high carbon content of GCr15, the electrochemical dissolution of GCr15 is unique, and there is always a black layer with high roughness on the machined surface, reducing the surface quality. In order to improve the electrochemical machining of GCr15 with a high surface quality, the surface characteristics of GCr15 in ECM were investigated. The anodic polarisation curve in the NaNO<sub>3</sub> electrolyte was measured and electrochemical dissolution experiments were conducted with different current densities. SEM, XRD, and XPS were employed to analyse the surface morphology and composition formed on the machined surface at different current densities. The initial results showed that there were two parts (black part and bright part) formed on the machined surface when a short circuit occurred, and the test results suggested that the black part contained a mass of Fe<sub>3</sub>O<sub>4</sub> while the bright part was composed of mainly Fe and Fe<sub>3</sub>C. Further investigation uncovered that a black flocculent layer (Fe<sub>3</sub>O<sub>4</sub>) always formed in a low current density (32 A/cm<sup>2</sup>) with high roughness. With the current density increased, the amount of black flocculent layer was reduced, and Fe<sub>3</sub>C particles appeared on the machined surface. When the current density reached 81 A/cm<sup>2</sup>, the entire flocculent oxide layer was removed, only some spherical Fe<sub>3</sub>C particles were inserted on the machined surface, and the roughness was reduced from Ra7.743 μm to Ra1.783 μm. In addition, due to exposed Fe<sub>3</sub>C particles on the machined surface, the corrosion resistance of the machined surface was significantly improved. Finally, circular arc grooves of high quality were well manufactured with current density of 81 A/cm<sup>2</sup> in NaNO<sub>3</sub> electrolyte.

MicromachinesVol. 15(9)
Guangdong University of Technology (CN), Xi'an Technological University (CN)
Education Department of Shaanxi Province
Openalex Percentile: Top 23%
Advanced Machining and Optimization Techniques
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.