1. Introduction
With the growth of environmentally friendly technology, there is a high-demand dependency on rare earth (RE) element mining. RE elements such as neodymium, praseodymium, dysprosium, and samarium are used for high-performance magnets in applications such as electric cars and wind turbines [
1,
2,
3]. However, the desirable RE elements typically comprise approximately 25% of the total material mined. The remaining 75% is discarded as a by-product and has little industrial relevance [
4]. Of the RE elements discarded, cerium (Ce) is the most abundant at 38% [
5]. The usefulness of Ce, however, has been researched throughout the 20th century concerning alloying aluminum (Al) to help with issues of insufficient thermal stability. For example, Belov et al. [
6], in 1999, conducted elevated temperature experiments with several Al alloys with additions of Ce and nickel (Ni). Targeting 350 °C, Belov and his colleagues found that an Al-12Ce-5Ni (wt.%) alloy had a 75% increase in UTS over a conventional Al-Si alloy (339) used at the time. However, this research was not continued due to the high cost of Ni and the lack of a Ce supply chain. That is, until the demand for high-performance magnets experienced a dramatic increase, resulting in an abundance of available Ce supply.
This abundance has captured the interest of researchers investigating how to improve the efficiency of internal combustion engines by creating thermally stable lightweight alloys for next-generation automotive powertrains [
7,
8,
9,
10,
11]. A clear emergence from all this research is the potential for the Al-Ce-based alloying system to be a fundamental pillar of high-performance Al alloys that can operate in applications that require excellent thermal stability above 200 °C [
12,
13,
14,
15,
16]. Extensive research has gone into the fundamentals of the Al-Ce binary system to understand the platform from which a new alloying system can be structured. The solidification characteristics and phase analysis of hypoeutectic [
17,
18], eutectic [
13,
18,
19,
20], and hypereutectic [
17,
18,
19,
21] binary alloy compositions revealed that the Al
11Ce
3 phase has excellent castability and thermal stability up to 500 °C. In a hypereutectic composition, primary Al
11Ce
3 formation occurs. If the composition of Ce exceeds 16 wt. % the primary phase begins to crack because of the large coefficient of thermal expansion discrepancy [
7]. Therefore, most studies focus on the eutectic composition to avoid any possible decrease in mechanical properties. These eutectic alloys precipitate a lamellae Al-Al
11Ce
3 phase that can retain up to 80% of its hardness when exposed to 500 °C for 168 h [
13,
20,
22]. For comparison, the Al-Si eutectic composition only retains ~50% of its hardness when exposed to the same test [
20]. This evidence justifies building an elevated-temperature Al alloy system based on the Al-Ce binary system. The current major drawback of the Al-Ce systems is that the lamellae Al-Al
11Ce
3 eutectic phase does not provide sufficient precipitate strengthening benefits for next-generation powertrain applications.
This lack of strength of the Al-Ce eutectic phase brings relevance back to the research done by Belov et al. [
6], where it was found that additions of Ni enhance the strength of these alloys. Although the testing parameters in the 1999 study are not rigorous enough to meet today’s automotive industry demands, they provide insight into how minor alloy elements can be used to add strength to the Al-Ce system. Sims et al. [
21] drew inspiration from Belov and his colleagues and investigated two higher-order Al-Ce-based alloys with magnesium (Mg) additions. The alloys under investigation are Al-12Ce-0.4Mg and Al-12Ce-4Si-0.4Mg (wt. %). It was concluded that the Al-Ce-Mg alloy in an as-cast state exhibits a UTS and YS of 200.6 and 78.6 MPa, respectively, while the Al-Ce-Si-Mg alloy exhibits 252.3 and 128.2 MPa, respectively, when heat treated to a T6 temper. These alloys were only tested at ambient temperature but showed comparable strength with alloys such as T6 A356. Weiss et al. [
23] took it a step further and tested two Al-Ce-Mg alloys, each with 8 wt. % Ce but differing in Mg content (7 vs. 10 wt. %). Both alloys were tested at ambient temperature and 260 °C. The alloy containing 7 wt.% magnesium exhibited a UTS and YS of 195 and 151 MPa, respectively. The alloy with 10 wt.% magnesium exhibited a UTS and YS of 227 and 186 MPa, respectively. When tested at 260 °C, the 7 wt.% Mg alloy retained 69% of its UTS and 80% of its YS. The alloy containing a larger amount of Mg retained 60% of its UTS and 70% of its YS. It is worth noting that these alloys were not conditioned (i.e., exposed to 260 °C for an extended period) before testing; therefore, it is expected that the alloys would perform slightly worse than expected if exposed to powertrain conditions for an extended period. It was also found in the study by Weiss et al. that the alloys were non-responsive to heat treatments aside from homogenization having a positive effect on alloys with high Mg content. Since these Al-Ce-based alloys are typically not heat treatable, they depend heavily on their solidification kinetics for their respective mechanical properties. The previous studies cited here do not account for the alloys’ solidification kinetics, but it significantly impacts the mechanical properties of the alloys. This solidification rate-dependency of Al-Ce alloys removes the time and resource-consuming heat treatments from the production process. Nguyen et al. [
24] and Salonitis et al. [
25] predict that removing necessary heat treatments from Al alloy production alone could save 425,000–675,000 MWh annually. Along with the reduced production cost, decreasing this amount of energy for the manufacturing chain would drastically reduce the ecological footprint of the automotive industry.
Recently, Kozakevich et al. [
10,
14] investigated the interplay between cooling rates, microstructures and mechanical properties of an Al-Ce-Ni-Mn alloy designed for elevated temperature applications. The alloy was cast in a wedge mold configuration to investigate the effects of different cooling rates on the material’s properties. The alloy exhibited a UTS and YS at ambient temperature ranging from 107 to 131 MPa and 64 to 81 MPa, respectively. At 250 °C, the alloy retained 75 to 83% of its UTS and 73 to 97% of its YS, even after conditioning at 250 °C for 150 h. The variation in tensile strength and tensile retention at 250 °C was highly dependent on the solidification kinetics of the alloy. Scanning electron microscopy (SEM) and energy-dispersive x-ray spectroscopy (EDS) revealed that the volume fraction, size, and morphology of the five phases found, α-Al, Al
23Ce
4Ni
6, Al
11Ce
3, Al
10CeMn
2, and Al
20CeMn
2, were highly dependent on the solidification kinetics and induced directional solidification.
To better understand the solidification kinetics of the Al-Ce-Ni-Mn alloy, differential scanning calorimetry (DSC) was done on four samples from critical areas of the wedge mold in [
26] (these results are summarized further in
Section 3.2 of this paper). The experiment concluded that further investigation into the solidification kinetics of this alloy is warranted; a better understanding would enable a broader utilization of the alloy for various elevated-temperature applications in the automotive industry.
Therefore, the present work aims to develop a more comprehensive understanding of the alloy’s solidification kinetics by performing more in-depth studies on the same samples from [
26] and wedge mold casting from [
10,
14]. The Al-Ce-Ni-Mn alloy’s solidification kinetics, microstructure, and directional solidification-induced composition variances are examined using thermodynamic simulation software, SEM, EDS, optical microscopy, DSC thermal analysis, and inductively coupled plasma-optical emission spectroscopy (ICP-OES).
2. Materials and Methods
The Al-Ce-Ni-Mn ingots used in this research were provided by Eck Industries Inc., Manitowoc, Wisconsin. The alloy was melted down in an electrical resistance furnace under argon coverage and then cast in a steel wedge mold. The samples, their locations, and other relevant information are given in
Figure 1. A comprehensive description of the preliminary results and details of the casting process is described in [
10]. The main casting parameters were that the alloy was poured at 700 °C, and the wedge mold was preheated to 250 °C.
The zones in
Figure 1 represent regions with unique microstructures throughout the wedge mold casting. Samples were taken from critical points within the wedge mold to understand the solidification kinetics of these zones. The critical point in zone 1 (sample A) was at the top-center of the wedge mold, where a thermocouple was placed during casting. This sample gives us an exact cooling rate of the sample to compare to the follow-up DSC and ICP-OES experiments. Similarly, sample D was taken from the thermocouple placement in zone 3 for the same reasoning.
Two samples from zone 2 were taken. The first (sample B) was from the center, and the second (sample C) was at the interface between zones 2 and 3. Both samples were taken at the same axial position (85 mm) but 15 mm apart in the transverse direction. The center of zone 2 (sample B) gives the lowest cooling rate (0.18 °C/s). The interface between zone 2 and 3 (Sample C) provides insight into the transition between the initial skin developed right after pouring (high cooling rates) and the center of the wedge mold (lowest cooling rates).
Metallography samples were mounted and prepared according to ASTM E3-11 specifications [
27]. Mounting was done in 2-part fast-curing acrylic. After mounting, the samples were sequentially ground with 400, 600, and 1200 silicon carbide abrasive paper and then polished sequentially with 9, 6, 3, and 1 μm diamond abrasive suspension paste. The final polish was done with 0.6 µm basic colloidal silica diamond polishing lubricant with a pH of 9.
Once the samples were prepared, optical microscopy was used to measure the secondary dendrite arm spacing (SDAS). SDAS measurements were taken with a VHX-7000 series KEYENCE digital microscope according to method E outlined in [
28], which consisted of measuring between two secondary dendrites parallel to the primary arm. A minimum of 50 measurements were taken for each sample to ensure measurement and standard deviation accuracy. An example of these measurements is shown in
Figure 2.
SDAS measurements were then used in Equation 1, taken from [
10], which is specific to this material. Utilizing this equation allowed for calculating cooling rates where thermocouples were absent during casting (i.e., samples B and C).
A Mira 3 XMU, TESCAN field emission gun SEM was utilized to collect micrographs of the alloy’s microstructure. A Cressington 208 HR sputter coater was used to coat the sample in a 5 µm platinum (Pt) layer to enhance conductivity and reduce charging effects and heating of the samples. The SEM was operated at an accelerating voltage of 20 kV to take the micrographs. After the micrographs were collected, Oxford Instruments Aztec data acquisition and processing software equipped with an 80 mm2 Oxford EDS detector were utilized to characterize the compositions of each phase. EDS point analysis was used to identify the atomic percentages of phases. At least 30 point scans per phase were taken to identify the atomic percentage. The EDS data and phase morphologies were compared to the literature to determine each phase’s stoichiometry.
A NETZSCH STA 449F3 heat flux DSC thermal analysis instrument was employed to understand the Al-Ce-Ni-Mn alloy’s phase evolution as a function of temperature. The initial liquidus and solidus temperatures were determined by Scheil ThermoCalc
TM simulations to be 733 °C and 632 °C, respectively. Therefore, the temperature range of the DSC experiment was set from 20 to 750 °C. The heating and cooling rate was selected to be 10.00 °C/min (~0.17 °C/s) based on similar studies previously conducted on Al-Ce alloys [
18,
29]. Each sample was 0.020 +/- 0.003 g and taken from the locations outlined in
Figure 1. Samples from the original ingot material were also extracted and tested. A sample size of 0.020 g has been proven to give the most accurate results for micro-scale DSC thermal analysis [
30]. Each sample was heated and cooled three times, and the results were averaged.
The results of the DSC experiment give insight into solidification kinetic specifics like solidus, liquidus, and latent heat of fusion of the eutectic reaction. Solidus and liquidus temperatures are determined by extrapolating the tangent reaction rate near the tip of the characteristic peak and projecting it to intersect the baseline of the DSC data [
18,
31,
32]. Extrapolation of the onset and end temperatures of the characteristic peak is done according to ASTM E794 [
32] standards. The end temperature of the characteristic peak only correlates to the liquidus if one peak is present in the results (i.e., all phases form near the eutectic temperature). Finally, the latent heat of fusion of the characteristic peak can be calculated by deriving the area under the peak.
ICP-OES was used in this study to confirm the ingot composition and identify the compositional changes that are the result of induced directional solidification. The samples of 0.1 g each were selected from six random locations of two different ingots. The samples were dissolved in a solution of HCl and NO
3 to digest while completely retaining the elements. After which, the solution is diluted to acquire the final elemental analysis. The average composition of the ingots is shown in
Table 1.
Following this, three samples of 0.1 g from each sample location (A, B, C, and D, identified in
Figure 1) were extracted and tested via ICP-OES to determine the composition difference due to directional solidification in the wedge mold. The average of the three tests was taken as the sample composition for its specific location.
Author Contributions
Conceptualization, J.K.; methodology, J.K. and J.S.; software, J.K.; validation, J.K. and J.S.; formal analysis, J.K.; investigation, J.K.; resources, D.S. and D.W.; data curation, J.K.; writing—original draft preparation, J.K.; writing—review and editing, J.S, D.S. and D.W.; visualization, J.K. and J.S.; supervision, D.S. and D.W.; project administration, D.S. and D.W.; funding acquisition, D.S. and D.W. All authors have read and agreed to the published version of the manuscript.