1. Introduction
Molybdenum is an important industrial material [
1] that is often used as an alloying element in metallurgical engineering to improve the mechanical properties and corrosion resistance of alloys [
2]. It is also considered a strategic material due to its high melting point, ability to maintain high strength, low expansion coefficient [
3], and good electrical and thermal conductivity under extreme conditions. It is widely used in various extreme conditions, such as microelectrodes, emitter tips, heating elements, and rocket engine nozzles [
4]. However, its excellent physical and mechanical properties make it difficult for molybdenum to be machined by traditional metal cutting and obtain fine structures with ideal precision. Compared with metal cutting, electrochemical machining technology has outstanding merits as it has no physical and mechanical properties, no physical contact, no residual stress after processing, and no recast layer, with excellent application prospects in the manufacture of molybdenum [
5,
6,
7].
In electrochemical machining, the dissolution characteristics of the material in the electrolyte directly determine the machining parameters and final machining accuracy. Electrochemical corrosion experiments have been conducted to understand the corrosion and dissolution characteristics of molybdenum in different types and concentrations of solutions. Badawy studied the electrochemical corrosion of molybdenum in alkaline solution [
8], finding that the dissolution rate increased with the concentration of the solution. Misirlioglu studied the corrosion behavior of molybdenum in acidic solutions [
9], while Scheider examined the dissolution behavior of molybdenum in both acidic (pH = 1) and alkaline (pH = 12) sodium nitrate solutions, confirming the existence of anodic oxygen evolution [
10]. Most previous studies have been carried out in alkaline and acidic solutions, but such solutions lead to significant environmental concerns in application. As a more environmentally friendly solution, a neutral electrolyte is the main choice for electrochemical machining. However, there are few studies on the corrosion behavior of molybdenum in neutral solution.
In previous studies, Badawi and Al-Kharafi found that the surface of molybdenum in solution was always covered by a layer of passivation film, which was less stable in alkaline solution, in which soluble substances appeared (HMoO
4− and MoO
42−) [
11]. This is because hydroxyl ions (OH
−) play a major role in dissolving the passivation film on the surface of molybdenum. Therefore, in theory, molybdenum and its passivation film can also be dissolved in a neutral solution, as the pulse voltage will produce enough OH
− in a neutral solution during electrochemical processing [
12,
13]. Thus, the generated OH
− ions can dissolve the passivation film on the surface of molybdenum in a neutral solution.
Measuring polarization curves and electrochemical impedance spectroscopy (EIS) are common and reliable research methods used to understand the dissolution characteristics of metals in different solutions. Hu studied the effect of chloride ion concentration on the electrochemical corrosion behavior of molybdenum alloy by means of polarization curves and scanning electron microscopy (SEM). With the increase in concentration, the corrosion rate first increased and then decreased [
14]. Hu then analyzed and discussed the Cl
− corrosion behavior of pure zirconium at different concentrations by electrochemical testing and numerical fitting [
15]. Gao proved the feasibility of tungsten processing in a neutral solution by measuring polarization curves, among other research methods [
16].
To study the electrochemical corrosion characteristics of molybdenum in neutral solution, in this work, the potential polarization curves and AC impedance spectra of molybdenum in various neutral solutions using an electrochemical workstation. The electrochemical behavior of different concentrations of neutral solution was analyzed. Electrochemical test results showed that molybdenum in alkaline solution was indeed more susceptible to corrosion. However, molybdenum also showed a notable corrosion tendency in neutral solution. Especially in NaNO3 solution, molybdenum not only demonstrated good electrolytic reaction efficiency but also good corrosion morphology. Subsequently, electrochemical micro-machining experiments of molybdenum with a micro-groove structure were carried out in different concentrations of NaNO3 solution. The optimal parameter combination of concentration, processing voltage, and processing time was obtained by orthogonal experiments. High-precision machining of the micro-grooves array was realized under these optimized parameters.
3. Electrochemical Micro-Machining Experiment of Molybdenum Micro-Groove Array Structure
Based on the previous polarization curve measurements, SEM image observation, and EIS testing of molybdenum in different concentrations of NaNO
3 solution, our results showed that molybdenum can be electrochemically processed in NaNO
3 solution. The electrolytic processability of pure molybdenum in NaNO
3 solution was then studied experimentally. Mask electrochemical micro-machining was used in this experiment, whose basic processing principle is shown in
Figure 8. The anode processing area is limited by an insulating mask, and the mask structure is photolithographed to the metal surface. A clamp is used to ensure the close coordination of the anode workpiece and the cathode, and a certain gap is maintained to ensure that the electrolyte can pass through. After energization, the surface of the workpiece is etched, and circulation of the electrolyte removes the electrolytic product to prevent its aggregation [
29,
30,
31,
32]. In the experiment, pure molybdenum sheets with a length of 30 mm, width of 10 mm, and thickness of 1 mm were selected, and different concentrations of NaNO
3 solution were used as the electrolyte. A mask plate with a micro-groove width of 50 μm was prepared by lithography.
Based on the previously mentioned polarization curves and EIS tests, it was found that different concentrations of NaNO
3 solution had a certain effect on the electrolysis reaction of pure molybdenum. At the same time, In the preliminary experiments, it was found that different voltages lead to variations in micro-groove width, while the length of processing time affects the depth of the micro-grooves. Therefore, the main parameters in mask electrochemical micro-machining include processing voltage and processing time. Due to the mutual influence between various factors, the accuracy of single-factor experimental processing results is not enough. Therefore, an orthogonal experiment was used to optimize the processing parameters. Five variables were selected as the horizons of the orthogonal experiment for each processing parameter, and an orthogonal experiment of three factors and five horizons was designed [
33,
34,
35,
36]. The specific values of each factor and horizon are shown in
Table 4.
The basic structure of the array of micro-grooves processed in the experiment is shown in
Figure 9. According to the machining accuracy requirements, the micro-groove depth-width ratio
Dr and the micro-groove width error
∆ were used as the assessment indicators of the orthogonal test. The combination of all factors and levels of the orthogonal test are shown in
Table 5. At the end of the experiment, a 3D profilometer (Keyence VR5000, Keyence, Japan) was used to measure the depth-width ratio and width error of micro-grooves, and then the measured orthogonal experimental data were analyzed.
The average value of the test indexes of different processing factors at the same horizon is represented by
Ki (
i represents the horizon), and the range value under each factor is calculated. The larger the range, the greater the influence of the factor on the assessment index, and the more important the factor is to the assessment index. The workpiece after the experiment was measured with a 3D profilometer (Keyence VR5000). Due to the large number of workpieces, it cannot be shown one by one. Take the measurement results of the 20th group of experimental workpieces as an example. As shown in
Figure 10, the groove width and groove depth at different positions of the micro-grooves array were measured, and the micro-grooves depth-width ratio
Dr and micro-groove width error
∆ were calculated.
Table 6 presents the orthogonal analysis results with the depth-width ratio
Dr as the evaluation index. The micro-groove structure was characterized by a semi-circular shape, so the larger the depth-width ratio, the better the parameters. From the range of the horizontal average of the depth-width ratio
Dr in
Table 6 under various factors, the key order of each factor of the index was electrolyte concentration > processing time > voltage. In other words, the effect of electrolyte concentration on the depth-width ratio of the microgroove structure was the strongest among all factors. According to the test indexes at each level, the optimal combination was an electrolyte concentration of 15%, a processing time of 60 s, and a voltage of 15 V (B3C5A2).
Table 7 shows the orthogonal analysis results with the groove width error
∆ as the evaluation index. The array micro-grooves were processed by EMM, so the smaller the groove width error, the better. From the range of the horizontal average value of the groove width error
∆ in
Table 7 under various factors, the key order of this index was voltage > processing time > electrolyte concentration. In other words, voltage had the largest influence on groove width error. According to the test indexes at each level, the optimal combination was a voltage of 10 V, a processing time of 60 S, and an electrolyte concentration of 10% (A1C5B2).
The above optimization results used depth-width ratio and groove width error as indicators, so it is not difficult to find that the optimal combination under different test assessment indicators was not the same, which required further analysis. Based on the previous optimization results, using the depth-width ratio and groove width error as key indicators, it was determined that a processing time of 60 s was the optimal processing time, so processing time was no longer analyzed as an influencing factor. The optimization results on the micro-groove depth-width ratio
Dr and groove width error
∆ were not the same. In
Figure 11,
Figure 11a is a comparison of micro-groove error of molybdenum processed with different concentrations of NaNO
3 solution under the same voltage;
Figure 11b is a comparison of microgroove depth-width ratio of molybdenum processed with different voltages under the same concentration of NaNO
3 solution. As seen in
Figure 11a, at an electrolyte concentration of 10% (B2), the groove width error
∆ at each voltage was more clustered than that under other electrolyte concentrations. Therefore, the processing at this concentration was more stable, and the groove width error
∆ fluctuated the least. Therefore, an electrolyte concentration of 10% (B2) was selected as the optimal result. As seen in
Figure 11b, the depth-width ratio
Dr was less affected by voltage at electrolyte concentrations of 5% (B1) and 10% (B2). However, the depth-width ratio
Dr was significantly higher at an electrolyte concentration of 10% (B2) than at 5% (B1). In summary, 10% NaNO
3 (B2) was selected as the optimal result for electrolyte concentration.
For the processing voltage,
Figure 11a shows that when the processing voltage was 10 V (A1), the fluctuation of the groove width error was the smallest. However, the distribution of the depth-width ratio
Dr had no obvious regularity, and the processing voltage could not be directly optimized. Therefore, on the basis of the existing optimization results, processing experiments of two sets of parameter combinations—a voltage of 10 V, an electrolyte concentration of 10%, and a processing time of 60 s; and a voltage of 15 V, an electrolyte concentration of 10%, and a processing time of 60 s were carried out, so as to further analyze and optimize the processing voltage.
Through the previous optimization scheme, the optimal combination of electrolyte concentration and processing time was determined. Therefore, electrochemical micro-machining experiments on molybdenum were conducted at processing voltages of 10 V and 15 V while maintaining the same electrolyte concentration and processing time, with the results shown in
Figure 12. By measuring these two sets of micro-grooves, it was found that when the processing voltage was 10 V, the groove width error was 5 μm, and the depth-width ratio was 0.21. When the processing voltage was 15 V, the groove width error increased to 18 μm, while the depth-width ratio was 0.20. The results indicated that the depth-width ratio did not vary significantly under different voltages, but the micro-groove width error was smaller at a processing voltage of 10 V. When comparing the surface morphology, as seen in
Figure 12a,b, under a processing voltage of 10 V, the micro-groove boundaries were clearer and sharper, and the micro-groove depth was more uniform. These results demonstrated that when the processing voltage was 10 V, the processing stability was better, and the processing accuracy was higher. Therefore, the optimal parameter combination for array micro-grooves in electrochemical machining was a processing voltage of 10 V, an electrolyte concentration of 10%, and a processing time of 60 s (A1B2C5). Under these parameters, the array micro-grooves were successfully processed, exhibiting a depth-width ratio of 0.21, a width error of less than 5 μm, a length-width ratio of 9000, and relatively flat surfaces with high machining accuracy. Thus, precision electrochemical machining of molybdenum surface micro-structures can be achieved using NaNO
3 solution.