journal article·2024-03-01Open access

Research on the surface characteristics of 42CrMo alloy steel pulse electrochemical machining

Dongliang Chen, Zhiqi Liu, Zhiqiang Zhang, Wen’an Wang, Lin Li, Jianli Song

AIP Advances· Volume 14· Issue 3

Abstract

Electrochemical processing, due to its unique material removal mechanism compared to mechanical processing, often results in significantly different micro-morphologies. It is widely used in areas such as aerospace component processing, surface finishing, passivation, micro-structure mold processing, etc. The complexity of alloy steel composition makes uniform etching difficult to achieve, and the post-etch micro-morphology is also complex, making it challenging to describe and analyze. Therefore, it is difficult to analyze the surface morphology of electrochemical etching under different parameters. In this study, a self-developed electrochemical etching device with adjustable DC voltage, pulse width voltage, and pulse width positive and negative voltage output was used. Different parameters of pulse voltage were used to etch the surface of 42CrMo alloy steel. Due to the strong relationship between surface roughness parameters and the chosen measurement scale, as well as the surface morphology and waviness errors introduced by specimen preparation and etching processes, a wavelet filtering method was used to remove the low frequency components in the surface morphology, and only the surface roughness part was retained for fractal parameter calculation and analysis. The research showed that fractal analysis can also be applied to analyze the surface morphology after electrochemical etching. Pulse voltages with characteristic voltages, characteristic pulse frequencies, and duty ratios can achieve better surface quality during positive pulse etching. Positive and negative pulse etching can obtain better surface morphology than positive pulse etching, but the etching amount is lower, making it suitable for precision finishing.
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Research context

OpenAlex topics: Advanced Machining and Optimization Techniques · Laser Material Processing Techniques · Advanced machining processes and optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Taiyuan University of Science and Technology 1 , Taiyuan 030024, Shanxi, China

Department of Mechanical Engineering, Shanxi Institute of Technology 2 , Yangquan 045000, Shanxi, China

Science and Opto-electronics Engineering, Beijing Information Science and Technology University 3 , Beijing 100192, Beijing, China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Shanxi Province · Shanxi Scholarship Council of China · Science and Technology Innovation Teams of Shanxi Province

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