Structure and Properties of Alloys Obtained by Aluminothermic Reduction of Deep-Sea Nodules

This paper brings an innovative processing route of manganese deep-sea nodules, which results in completely new grades of alloys. Deep-sea nodules were processed by aluminothermic method without the extraction of individual elements, producing complexly alloyed manganese-based “natural alloys”. Three levels of the amount of aluminum were used for the aluminothermic reduction, and hence the alloys differ strongly in the amount of aluminum, which has a significant effect on their phase composition. The alloys have very high wear resistance, comparable with tool steel. The disadvantage of low-aluminum alloy is the susceptibility to local thermal cracking during friction, which occurs especially in the case of a dry sliding wear against the static partner with low thermal conductivity.


Introduction
Polymetallic deep-sea nodules represent the untapped sources of valuable base metals such as Mn, Ni, Cu, and Co, as well as trace amounts of Zn, Mo, Ti, V, Zr, Si, and Al, and also rare earth metals (REEs) [1][2][3]. Found predominantly on the seabed of the world oceans, the nodules are rock concretions of different shapes and sizes ranging from several millimeters to about 30 cm at water depths of approximately 3500 to 6500 m [2,4]. The Clarion-Clipperton Fracture Zones (CCZ) in the Pacific Ocean are the area of greatest economic interest with the total amount of manganese, nickel, and cobalt contained in the nodules exceed to that of terrestrial reserves [2,5]. On average, the nodules from CCZ contain 29.1% Mn, 5.4% Fe, 1.29% Ni, 1.19% Cu, and 0.23% Co [6]. The major crystalline phases in the nodules are Todorokite, (mixed oxides of Mn, Mg, Ca, Na, and K), Buserite (hydrated oxides of Mn and Na), Birnessite ((Na 7 Ca 3 )Mn 70 O 140 ·28H 2 O) and Vernadite (δ-MnO 2 ) or Manganosite (MnO) [1][2][3]7].
Since the valuable metals in nodules are present as an integral part of iron and manganese oxides, it is essential to release them by disintegrating the matrix of iron and manganese oxide lattice in order to achieve high recovery of metals. This can be achieved by subjecting the nodules to a reducing condition. In principle, both pyrometallurgical and hydrometallurgical reduction processes can be used for breaking the lattice [12].
The International Nickel Company (INCO) developed a pyrometallurgical process to separate valuable metals from manganese and iron in the initial stage by reduction smelting at 1000 • C in a rotary kiln in order to convert Cu, Ni, Co, and small amounts of Fe to metal and to report most of Mn and Fe to slag in an electric arc furnace at 1400 • C [13]. aluminum to oxygen. Once initiated, the aluminothermic reduction is rapid and in general strongly exothermic. The advantages of aluminothermic processes are, apart from the rapidity of the reaction, no external heat source, small plant investment costs, easy adaptation to various productions, and less gas volume. Disadvantages include no possibility of refining of the metal and relatively expensive aluminum. The process has been used for decades, especially for production of certain types of ferroalloys, where high purity is required. In the past, it also had been used for manganese production. As the major component of the nodules is manganese, aluminothermic reduction seems to be an appropriate method for obtaining an alloy from them.
In this work, we tested aluminothermic reduction of the nodules with various amounts of aluminum and characterized microstructure, phase composition, and selected properties of the new "natural alloys".

Materials and Methods
Deep sea nodules from the Clarion-Clipperton Zone were crushed and ground to a powder with the particle size under 125 µm. The chemical composition of the crushed powder analyzed by atomic absorption spectrometer (AAS, GBC 932plus, GBC Scientific Equipment Ltd., Dandenong, Australia) and X-ray fluorescence spectrometer (XRF, Axios, PANanalytical, Almelo, The Netherlands) is presented in Table 1. The content of Mn, Fe, Cu, Ni, Zn, and Co was measured by the AAS method. Table 1. Chemical composition (XRF) of the ground deep-sea nodules (wt. %) [29]. One half of the powder amount, used subsequently for the aluminothermic reduction, was dried at 250 • C for 4 h, while the other half was annealed at 500 • C for 4 h in order to change the oxidation state of manganese in original MnO 2 to Mn 3 O 4 . The mixture of the mentioned two states of powder was subjected to aluminothermic reduction. Aluminum was used in stoichiometric amount calculated to allow the reduction of the oxides of Mn, Fe, Cu, Ni, Zn, and Co, as could be expected on the basis of the Ellingham's diagram [30], as well as in the excess of 10 and 20 wt. %. The aluminothermic reduction was carried out in a ceramic crucible of 85 mm in diameter; the batch was 250 g. The aluminothermic reactions were initiated by the ignition mixture composed of aluminum powder, sodium peroxide, and magnesium metal flakes.

Element Mn
The metallic product of the aluminothermic reduction was separated from the slag mechanically. The reduced alloy was remelted by the means of the induction melting furnace Balzers VSG-02 (Balzers, Germany) in order to remove the slag residues and to homogenize the alloy. The obtained as-cast alloy was characterized from the viewpoints of the microstructure, phase composition, and hardness. Samples were mounted into conductive Bakelite and prepared by conventional metallography procedure for microstructure observation or grinded for the phase analysis.
Materials were investigated by scanning electron microscope (SEM) TESCAN FERA 3 (TESCAN, Brno, Czech Republic) equipped with EDAX analytical system for EDS (Energy Dispersive Spectrometer) detector Octane Super 60 mm 2 and EBSD (electron backscatter diffraction) camera DigiView V (AMETEK, Inc., Berwyn, PA, USA). All measurements were done in combined EDS/EBSD mode to allow phase separation by composition information (CHI scan) and Kikuchi pattern to be saved for Neighbor Pattern Averaging and Reindexing (NPAR™).
Phase composition of materials was studied by powder X-ray diffraction (XRD). Data were collected in Bragg-Brentano geometry on a Bruker D8 Advance diffractometer using a CuKα radiation and LynxEye-XE detector. Qualitative phase analysis was performed by means of the HighScore program; subsequent semi-quantitative phase analysis and calculation of unit-cell and microstructural parameters was carried out by the Rietveld method using the Topas 5 program (Bruker AXS, Karlsruhe, Germany).
Phase transformations during heating were investigated by differential thermal analysis (DTA) by the means of TG-DTA (Thermogravimetry-Differential Thermal Analysis) Setsys Evolution device (Setaram, Caluire-et-Cuire, France) in argon atmosphere, alumina crucible, using the heating rate of 30 K/min.
Mechanical properties of the as-cast material were determined by the means of microhardness measurement. For this purpose, Vickers method with the load of 9.8 N (HV1) was applied. The hardness was measured five times on each sample. In order to determine the microhardness of individual phases, the Vickers method HV0.01 was applied. The wear resistance was measured using the ball-on-disc tribometer TriboTester (Tribotechnic, Clichy, France) in linear reciprocating mode (excenter of 5 mm), where the "ball" of 6 mm in diameter was made of alumina (α-Al 2 O 3 ) and the "disc" was the sample polished to the roughness of approx. 0.005 µm. No lubrication was used. The normal force used in the test was 5 N and the sliding distance was 20 m. The wear rate was calculated from the wear track section area by Equation (1): where w, A, e, F, and l are wear rate [mm 3 N −1 m −1 ], wear track section area [mm 2 ], excenter (5 mm), normal force (5 N), and sliding distance (20 m), respectively. The wear track section area was measured by the means of a skidless contact profilometer probe (Tribotechnic, France). Each sample was measured two times, and the presented value is the average of two measurement results. Wear tracks were observed by the means of a scanning electron microscope (SEM) Vega 3 LMU (TESCAN, Brno, Czech Republic) in backscattered electrons (BSE) mode.

Chemical Composition of the Alloys
The reduced alloys are based on manganese with major amounts of iron, silicon, and copper. There is a significant dependence of aluminum content, bound in the intermetallic phases, on the amount of aluminum used for reduction. While the alloy reduced using stoichiometric amount of aluminum contains just a minor amount of it, the others have up to more than 9 wt. % of aluminum. The iron and silicon amount is decreasing with the increasing content of aluminum used for reduction, while the other elements do not exhibit systematic trends. The chemical composition of the alloys is listed in Table 2. Among the impurities, phosphorus content is high (up to nearly 0.5 wt. %).

Microstructure and Phase Composition
Microstructure of the alloys is presented in Figure 1. The alloy with the lowest amount of aluminum (reduced by stoichiometric amount of aluminum, see Figure 1a) is covered mostly by a manganese-rich phase and minor amounts of secondary phases at the grain boundaries. With increasing aluminum content in the alloys, the aluminum-rich regions with round shape or flower-like morphology appear, and their fraction grows (Figure 1b,c). The phase composition and microstructure of individual alloys are described in more details below.

Microstructure and Phase Composition
Microstructure of the alloys is presented in Figure 1. The alloy with the lowest amount of aluminum (reduced by stoichiometric amount of aluminum, see Figure 1a) is covered mostly by a manganese-rich phase and minor amounts of secondary phases at the grain boundaries. With increasing aluminum content in the alloys, the aluminum-rich regions with round shape or flower-like morphology appear, and their fraction grows (Figure 1b,c). The phase composition and microstructure of individual alloys are described in more details below.

Stoichiometric Amount of Aluminum
The major phase covers nearly 96.5 wt. % of sample weight, and its grains are separated by thin layer of minor phases, Figure 1a. The major phase corresponds to the Mn0.66Ni0.2Si0.14 phase (referred also as β-Mn66Ni20Si14 [31]) with P213 symmetry ( Figure  2). According to the EDS analysis, this phase also contains a high amount of iron and minor amounts of aluminum and copper, Table 3. The crystal structure of this phase is strongly related to the structure of β-Mn, i.e., its space group (P213) is a subgroup of that for β-Mn (P4132). We detected by EDS three different composition areas in minor phaseone is enriched by copper and aluminum, the other by phosphorus and even parts enriched by sulfur can be found. The first minor phase (1.5 wt. %) has space group Pm-3m and can be fitted well by both XRD and EBSD to atoms distribution as in the anti-perovskite phase Mn3AlC. However, the real occupation of sublattices is different-approx. 48 wt. % Cu, 36 wt. % Mn, 5 wt. % Fe, 4 wt. % Ni, and 5 wt. % Al, 1 wt. % Si. The content of non-metallic elements is too low to create sublattice-negligible amount of C and 0.7 wt. % of P, see Table 3. Thus, we can presume the minor phase is rather L12 structure

Stoichiometric Amount of Aluminum
The major phase covers nearly 96.5 wt. % of sample weight, and its grains are separated by thin layer of minor phases, Figure 1a. The major phase corresponds to the Mn 0.66 Ni 0.2 Si 0.14 phase (referred also as β-Mn66Ni20Si14 [31]) with P2 1 3 symmetry ( Figure 2). According to the EDS analysis, this phase also contains a high amount of iron and minor amounts of aluminum and copper, Table 3. The crystal structure of this phase is strongly related to the structure of β-Mn, i.e., its space group (P2 1 3) is a subgroup of that for β-Mn (P4 1 32). We detected by EDS three different composition areas in minor phase-one is enriched by copper and aluminum, the other by phosphorus and even parts enriched by sulfur can be found. The first minor phase (1.5 wt. %) has space group Pm-3m and can be fitted well by both XRD and EBSD to atoms distribution as in the anti-perovskite phase Mn 3 AlC. However, the real occupation of sublattices is different-approx. 48 wt. % Cu, 36 wt. % Mn, 5 wt. % Fe, 4 wt. % Ni, and 5 wt. % Al, 1 wt. % Si. The content of non-metallic elements is too low to create sublattice-negligible amount of C and 0.7 wt. % of P, see Table 3. Thus, we can presume the minor phase is rather L1 2 structure (Cu,Mn) 3 (Al,Si) with space group Pm-3m stabilized by copper and aluminum or by phosphorus in octahedral anti-site positions, derived from Cu 3 Al phase. The second minor phase Mn 2 P (space group P-62m) can be easily identified by the hexagonal structure and phosphorus content (Figures 3 and 4). The third minor phase is sulfide MnS (space group Fm-3m) and was identified by EDS as sulfur segregate is particular particles. The amount of phase is too low to separate it from (Cu,Mn) 3 (Al,Si) diffraction pattern.
(Cu,Mn)3(Al,Si) with space group Pm-3m stabilized by copper and aluminum or by phosphorus in octahedral anti-site positions, derived from Cu3Al phase. The second minor phase Mn2P (space group P-62m) can be easily identified by the hexagonal structure and phosphorus content (Figures 3 and 4). The third minor phase is sulfide MnS (space group Fm-3m) and was identified by EDS as sulfur segregate is particular particles. The amount of phase is too low to separate it from (Cu,Mn)3(Al,Si) diffraction pattern.  with 10% of aluminum excess; and (c) with 20% of aluminum excess. The blue color indicates the measured XRD patterns, while the red color is the Rietveld fit, the black color shows the difference between the real pattern and the numerical fit. Table 3. Composition in at. % of phases in sample with stoichiometric amount of aluminum measured by EDS. Measured compositions from areas investigated by EBSD are given. Error of measurement depends on number of counts in peak. The elements typical for minor phases are given in bold.         XRD analysis indicated a β-Mn as a major phase (ca 55 wt. %) in the sample. Two phases with crystal structure of Heusler phases (Fm-3m) were also identified ( Figure 2). Their chemical composition can be expressed in a simplified way as Mn 2 FeSi (22 wt. %) and Mn 2 FeAl (17 wt. %). Although these phases show the same crystal structure, they differ in the unit cell parameters (5.714 and 5.838 Å) and hence are distinguishable by XRD. Phases with a structure of Mn 0.83 Si 0.11 (R-3) and Mn 2 P (P-62m) were detected as minor phases with concentration of 4 and 2 wt. %, respectively. All mentioned phases can be distinguished by EBSD (Figures 5 and 6), except the structurally same cubic phases Mn 2 FeSi, Mn 2 FeAl, and MnS, which were separated by evaluation of the simultaneously acquired EDS data (CHI scan). Both Heusler phases can be separated by CHI scan only if the magnification is high enough to separate areas with higher and lower silicon or aluminum content. When such separation is possible, we can even see a different structure of Kikuchi patterns in both phases-Mn 2 FeSi have sharper Kikuchi bands. Manganese sulfide was identified by sulfur content (see Table 4 and Figure 6); Kikuchi patterns in sulfur-rich areas show cubic structure different from both Heusler phases, but without chemistry data, the separation would not be possible. Some small areas show higher copper content, such areas have distinctive Kikuchi patterns, and we assign them to Mn 3 AlC type phase, as in the case of the sample with stoichiometric amount of aluminum. Let us note that some grains of Mn 0.83 Si 0.11 phase have bad patterns (low image quality), probably due to the polishing procedure.

20% of Aluminum Excess
The phase composition of this sample is more complicated in comparison with two previous samples. XRD analysis (Figure 2) revealed presence of a phase with Mn5Si3-type structure (P63/mcm) and α-Mn (I-43m) in concentration 28 and 14 wt. %. Both Heusler-type alloys, Mn2FeAl (33 wt. %) and Mn2FeSi (5 wt. %), were also detected in this sample (Table  5). A phase with a bcc structure (Im3m) was detected in an amount of 10 wt. %, but it is

20% of Aluminum Excess
The phase composition of this sample is more complicated in comparison with two previous samples. XRD analysis (Figure 2) revealed presence of a phase with Mn 5 Si 3 -type structure (P6 3 /mcm) and α-Mn (I-43m) in concentration 28 and 14 wt. %. Both Heusler-type alloys, Mn 2 FeAl (33 wt. %) and Mn 2 FeSi (5 wt. %), were also detected in this sample (Table 5). A phase with a bcc structure (Im3m) was detected in an amount of 10 wt. %, but it is limited to a minor part of the sample, as equilibrium of alloy was probably not reached yet. It corresponds to δ-Mn phase with highest Mn content. Minor compounds revealed by XRD include Mn 2 P (P-62m, 2 wt. %), phase with the L1 2 -structure (Cu,Mn) 3 (Al,Si) (4 wt. %), and Mn 3 (Al,Si) phase crystalizing in the Ni 3 Sn-structure type (P6 3 /mmc, 4 wt. %). The phases with distinct crystallographic structure were separated by Kikuchi pattern indexing as in previous cases; nevertheless, the separation by composition was more complicated here. Heusler-type alloys, Mn 2 FeAl and Mn 2 FeSi, could not be separated, as Mn 2 FeSi is minor, creating small particles in larger Mn 2 FeAl grains, and thus compositional data do not give strong enough difference for thresholding (Figure 7). On the contrary, if EBSD data were acquired with high Kikuchi pattern quality (binning 2 × 2), phase with L1 2 -structure (Cu,Mn) 3 (Al,Si) was found by pattern indexing, although not as the Cu major phase, but compositionally similar to Mn 2 P, but with Pm-3m space group.
The connection of MnS with high sulfur content is less pronounced here, probably due to low quality of the simultaneously acquired EDS data. Generally, the quality of EDS data strongly affects possibility of thresholding, mainly for small particles, where overlap of compositional signal with surrounding grains is expected. complicated here. Heusler-type alloys, Mn2FeAl and Mn2FeSi, could not be sepa Mn2FeSi is minor, creating small particles in larger Mn2FeAl grains, and thus c tional data do not give strong enough difference for thresholding (Figure 7). On trary, if EBSD data were acquired with high Kikuchi pattern quality (binning 2 × with L12-structure (Cu,Mn)3(Al,Si) was found by pattern indexing, although not a major phase, but compositionally similar to Mn2P, but with Pm-3m space group.  The connection of MnS with high sulfur content is less pronounced here, due to low quality of the simultaneously acquired EDS data. Generally, the qualit data strongly affects possibility of thresholding, mainly for small particles, where of compositional signal with surrounding grains is expected.

Differential Thermal Analysis
Thermal properties have been studied in order to determine the phase transformations during heating. It was found that the alloy reduced using the stoichiometric amount of aluminum undergoes a series of minor endothermic phase transformations between 750 and 930 • C (Figure 8). These transformations are probably connected with the transformation of some minor phases in the structure. After that, a strong endothermic effect is observed with the onset temperature of approx. 930 • C. This effect probably accompanies the eutectic transformation. The next endothermic effect is visible at approx. 1150 • C, belonging probably to the liquidus temperature of the alloy.
In the case of both alloys reduced with the excess amount of aluminum, there are two endothermic effects at very similar temperatures-the first one (probably the eutectic transformation) at approx. 910 • C and the second one (probably the liquidus) at 1140 • C for the alloy reduced with 10% excess of aluminum and 1100 • C for the alloy reduced using the 20% excess of aluminum (Figure 8). Since the significant thermal effect occurs at the same temperature, it can be expected that it accompanies the eutectic reaction between the Heusler phases, which were identified in both alloys with the excess amount of aluminum. mations during heating. It was found that the alloy reduced using the stoichiometric amount of aluminum undergoes a series of minor endothermic phase transformations between 750 and 930 °C (Figure 8). These transformations are probably connected with the transformation of some minor phases in the structure. After that, a strong endothermic effect is observed with the onset temperature of approx. 930 °C. This effect probably accompanies the eutectic transformation. The next endothermic effect is visible at approx. 1150 °C, belonging probably to the liquidus temperature of the alloy.
All tested alloys also reached almost the same value of the friction coefficient (0.67-0.68) during the wear test against the alumina ball ( Table 6). The reached value is comparable with common heat-treated steel and other comparable materials [32]. The wear rate of the alloys is increasing with the growing amount of aluminum in the material (Table 6) and reaches the values comparable with heat-treated AISI D2 and Fe-Al-Si intermetallics (in the order of 10 −6 mm 3 N −1 m −1 ) [33]. When observing the worn surfaces by scanning electron microscope, it can be seen that the wear mechanism changes gradually. In the case of the material prepared with stoichiometric amount of aluminum, there are almost no signs of a chipping wear. The observed wear is abrasive, with negligible signs of oxidation (Figure 9a). On the other hand, the cracks perpendicular to the sliding direction could be observed. These cracks are probably caused by the accumulation of the heat in the sample. Due to relatively high friction coefficient, the contact area is getting heated. The thermal conductivity of the alloy is expected to be lower than that of steel, because of the low thermal conductivity of manganese, and so the heat accumulates in worn area. The local thermal gradient causes cracking of the material in the area of the wear track. A similar situation can be observed in the alloy prepared with the 10% excess of aluminum, where the dominant phase is still derived from β-Mn (Figure 9b). In this sample, the cracks are less significant. In addition to the cracks, the chipping of particles of aluminum-rich phase could be observed locally. In the case of the sample with the highest amount of aluminum, the wear mechanism changes. There are only minor cracks present locally, being initiated in the Mn-rich phase, which do not propagate to softer Al-rich phase. The wear track is more abraded than in the previously described samples (Figure 9c). It is probably caused by lower hardness of the Al-rich phase.  When the wear behavior was tested by the use of a steel ball (100Cr6) as the static partner, the achieved friction coefficients were varying with the aluminium content, showing no systematic trend, see Table 6. It is probably caused by random adhesion of the steel ball residues on the surface of the tested materials, as it was proved by the measurement of the profile of the wear track ( Figure 10) and by the observation of the worn surfaces by SEM ( Figure 11). There are far fewer cracks formed on the sample reduced with stoichiometric amount of aluminum ( Figure 11) than after testing with the alumina ball and no cracks in the samples with higher amounts of aluminum. This confirms that the formation of the wear tracks is caused by the thermal shocks due to the evolution of heat by the dissipation of the friction energy. In the case of the use of a more thermally conductive static friction partner (100Cr6 steel), the heat dissipates more easily from the wear track.  When the wear behavior was tested by the use of a steel ball (100Cr6) as the static partner, the achieved friction coefficients were varying with the aluminium content, showing no systematic trend, see Table 6. It is probably caused by random adhesion of the steel ball residues on the surface of the tested materials, as it was proved by the measurement of the profile of the wear track ( Figure 10) and by the observation of the worn surfaces by SEM ( Figure 11). There are far fewer cracks formed on the sample reduced with stoichiometric amount of aluminum ( Figure 11) than after testing with the alumina ball and no cracks in the samples with higher amounts of aluminum. This confirms that the formation of the wear tracks is caused by the thermal shocks due to the evolution of heat by the dissipation of the friction energy. In the case of the use of a more thermally conductive static friction partner (100Cr6 steel), the heat dissipates more easily from the wear track. When the wear behavior was tested by the use of a steel ball (100Cr6) as the static partner, the achieved friction coefficients were varying with the aluminium content, showing no systematic trend, see Table 6. It is probably caused by random adhesion of the steel ball residues on the surface of the tested materials, as it was proved by the measurement of the profile of the wear track ( Figure 10) and by the observation of the worn surfaces by SEM ( Figure 11). There are far fewer cracks formed on the sample reduced with stoichiometric amount of aluminum ( Figure 11) than after testing with the alumina ball and no cracks in the samples with higher amounts of aluminum. This confirms that the formation of the wear tracks is caused by the thermal shocks due to the evolution of heat by the dissipation of the friction energy. In the case of the use of a more thermally conductive static friction partner (100Cr6 steel), the heat dissipates more easily from the wear track.

Discussion
The alloys prepared by aluminothermic reduction with various amounts of aluminum are characterized by a very rich phase composition. In addition, the particular phases are not listed in current version of the PDF database, and hence the results can deepen the knowledge about crystallography of manganese-rich intermetallics. A very interesting point in the phase composition is the fact that the matrix phase changes, as the content of aluminum in the alloy increases. It varies from Mn 0.66 Ni 0.2 Si 0.16 (structure similar to β-Mn) in the case of the alloy prepared with stoichiometric amount of aluminum through the β-Mn solid solution in the alloy prepared with 10% excess of aluminum and ends with α-Mn in the highest-aluminum alloy. At first sight, this variation is strange, because aluminum stabilizes the β-Mn phase and the aluminum content in the matrix increases with growing amount of aluminum used for reduction. The probable reason is that the amounts of nickel and copper in the Mn-based matrix tend to decrease, as the amount of aluminum used for reduction increases from 10 to 20% excess (see Tables 4 and 5), because they are bound in the aluminum-rich phases. Nickel is the stabilizer of the beta phase, as it can be seen in the Mn-Ni binary equilibrium phase diagram [34].
The next paradox found during the characterization of the materials is connected with the hardness. The hardness keeps almost constant, even though the aluminum-rich phases, whose fraction increases with the amount of aluminum used for reduction, are softer than the manganese-rich matrix. The reason is the increasing content of aluminum dissolved in the matrix. Aluminum could cause the local stresses in the lattice due to a different atomic radius [35], leading to the strengthening effect.
Even though there is almost no effect of aluminum content on the friction coefficient, the wear resistance and the wear mechanism are strongly dependent on it, especially in the case of the use of a static partner with low thermal conductivity (alumina ball). In this case, the wear mechanism changes from the abrasive wear with the significant presence of cracks in the case of the alloy prepared by reduction using the stoichiometric amount of aluminum through chipping wear with strong cracks to purely abrasive wear with a low number of short cracks. These cracks stop in the aluminum-rich phase, which is softer and probably more ductile than the manganese-based matrix. For the same reason, the abrasive wear is most intense in the case of the aluminum-rich phase in the case of high-aluminum alloy. When the static partner is well thermally conductive (steel ball), the formation of cracks is minimized. It shows that the cracks originate from the heat caused by the dissipation of the friction energy. From this fact and the low wear rates, it can be derived that the materials, especially the high-aluminum ones, are suitable for use as wear resistant materials for the metal-metal contact applications.
The practical consequences of thermal analysis for the processing are the following: If the material would be processed by melting and casting, then the melting temperature should be higher than 1200 • C. If powder metallurgy will be considered as the processing route, solid-phase sintering has to be done below 900 • C for the alloys with higher contents of aluminum and less than 750 • C for the alloy reduced using the stoichiometric amount of aluminum.

Conclusions
It has been proven that the aluminothermic reduction can be used for processing of deep-sea nodules. The process leads to obtaining completely new manganese-based alloys. The phase composition of the alloy prepared using the stoichiometric amount of aluminum consists mainly of Mn 0.66 Si 0.20 Si 0.14 type phase (structure similar to β-Mn), (Cu,Mn) 3 (Al,Si) phase, and Mn 2 P. In the case of the reduction with the aluminum excess of 10%, the sample consisted mostly of β-Mn type phase and Heusler phases of Mn 2 FeSi and Mn 2 FeAl types. The alloy reduced using the 20% excess of aluminum is based on both mentioned Heusler phases, α-Mn type phase and Mn 5 Si 3 silicide.
The alloys are characterized by relatively high hardness (around 800 HV) and very good wear resistance, especially when high amount of aluminum (20% over stoichiometry) is used for reduction. The lower-aluminum alloys tend to form cracks during wear testing against the alumina ball. The tested materials can be processed by induction melting and gravity casting and can be recommended as wear resistant materials for the metal-metal sliding contacts, especially the high-aluminum one, which does not tend to exhibit local cracking in the contact area.  Data Availability Statement: The data are stored by the authors of the paper, not available publically.