1. Introduction
The mold industry has been growing and consolidating itself in international markets, driven by the fact that it uses innovative precision machine tools and CAD/CAM/CAE systems in the design and manufacturing of molds. The shapes and manufacturing of molds or dies are usually very precise and exact, which consequently entails a high cost. In fact, the manufacturing steps are the most expensive, mainly the machining and polishing parts, which comprise approximately 60% of the total mold cost. The cyclic loads and the thermal variations that the mold suffers, mainly in injection molds for polymers and aluminum alloys, result in damages that appear in the form of wear and fatigue cracks. Attending to this and to the high costs of producing a new mold or die, the possibility of repairing molds via laser beam fusion with minimal loss of quality becomes relevant [
1,
2]. Using the Nd-YAG laser fusion system for this purpose, which is a highly flexible process, presents a very precise deposition of a small volume of filler material as the main advantage compared to other methods.
Currently, most of the mold industry uses AISI H13 and AISI P20 steels for aluminum and magnesium alloy casting processes, as well as for plastic injection casting [
3,
4].
Hence, the repair of damaged components using suitable procedures has emerged as a novel study area [
4]. Nevertheless, conventional repair techniques, including metal inert gas welding, tungsten inert gas welding, electroplating brushing, and laser cladding, exhibit certain limitations, such as vulnerability to fracture, insufficient interface bonding, nonuniform structures, and suboptimal characteristics [
5,
6]. Laser beam fusion deposition (LBFD) is an emerging repair technique that integrates the benefits of laser cladding with forming methodologies. The LBFD method has effectively addressed issues encountered in conventional repair procedures in terms of shape repair, tissue performance, and mechanical property recovery. Furthermore, the repaired zone (RZ) exhibits mechanical characteristics that are equivalent or even superior to those of the original material [
6].
Material deposition using lasers as heat sources is actually a preferred choice over conventional processes due to the low heat input. Material deposition using lasers produces a small heat-affected zone, a slight undercut, and a very small weld volume, which represent advantages when compared with conventional process [
3]. Through filler in the form of wire or powder material, the deposition methods based on lasers are successful and used for die and mold repair applications [
6,
7]. The recent advances in compact solid-state lasers have brought this technology to par with conventional processes in terms of space, maneuverability, and adaptability [
8].
Laser-based material deposition principally uses material in powder or in wire form, as described previously. Wire feeding is preferred for the manufacturing of components when involving constant deposition, because alternating start/stop results in discontinuity in the deposited material. Using wire feeding, the wire is always in direct contact with the melt pool on the substrate in order to create the material deposition. Any inaccuracy in wire positioning or wire-feed rate changes the shape and size of the melt pool. This event leads to a non-uniform shape of the deposited material track. A good quality deposition means that the deposited material bonds well to the substrate and that the fed material spreads out during deposition, resulting in a uniform, smooth surface (without underfill) and a low number of internal defects such as a lack of fusion or porosities [
9,
10]. The most frequent causes of failures of molds or dies during their useful lives are high thermal shocks, mechanical strain, cyclic loading (fatigue), and corrosion, resulting in heat checking, wear, and plastic deformation. In this study, the priority will be given to fatigue phenomena that are strongly affected by superficial and internal defects of parts repaired by means of laser beam fusion deposition. This influence can be more or less significant depending on the severity and type of the defect present in the repaired zone. Planar defects, such as a lack of fusion and penetration, are considered the most serious since they reduce the resistant cross-sectional area of the material, acting as critical points of stress concentrations [
11]. The substantial reduction in fatigue strength in repaired or welded parts due to laser beam fusion deposition occurs because of the presence of defects acting as fatigue pre-cracks [
12,
13,
14,
15,
16].
In this study, a fatigue assessment was performed on steels with surface defects repaired by a laser process. An Nd-YAG laser was used to simulate the repairing of a mold part. Fatigue tests were conducted on both plain and repaired specimens. Microhardness analyses of the laser beam fusion regions and fracture toughness tests were also performed. Finally, an analysis of the fracture surface and crack path regions was carried out.
The main objective of this work is to improve the quality of mold restoration using laser deposition by initially studying the laser deposition parameters collected from common practices in the mold repair industry, and then improving these parameters to achieve better repairing quality.
3. Results
Figure 2 shows all hardness profiles obtained for the PM1 and PM2 series for each steel, where BM is the base material, HAZ is the heat-affected zone, and FZ is the fused zone.
Regarding to H13 series, a hardness decrease in the FZ for the two repaired series was obtained, reaching minimum values of 307 HV1 and 318 HV1 for PM1 and PM2, respectively (approximately a 29% reduction in the filler material’s hardness after the deposition process). This behavior was caused by the melting and re-melting of the filler material.
Figure 2b shows the hardness profiles of the P20 series. It is possible to observe from these profiles that there was no significant variation in the three series of the P20 material.
The uniaxial tensile tests curves are displayed in
Figure 3. These figures show that the hardness reduction in the repaired zones only had an influence on the H13 series, which revealed a higher decrease in the tensile strength. On the other hand, in the P20 series, the influence of the hardness profile was insignificant. As discussed later on, the main factor that determines the mechanical behavior is the presence of deposition defects. Nevertheless, the combined effect of decreases in hardness and the presence of defects led to a strong decline in the mechanical behavior in the H13_PM2 series.
In all cases, losses of ductility and ultimate strength were observed when comparing all repaired conditions with the BM series, as can be interpreted by observing
Figure 3.
Table 4 presents the mechanical parameters obtained from the uniaxial tensile tests for each series. It is clearly observed that the ductility loss was higher in the PM2 series for each test condition. This behavior can be justified by fusion deposition defects such as porosities and lack of fusion, among others.
The fracture toughness is an important parameter that allows unstable fracture to be avoided.
Table 5 presents the critical intensity factor for each condition analyzed.
The effect of specimen reparation resulted in a loss of fracture toughness in comparison to the BM condition. Similar values of K
IC for PM1 and PM2 series were obtained. The H13 high-strength steel presented a strong reduction in fracture toughness due to the repair process because the K
IC value of the BM series was almost 100% higher in comparison to the values obtained for the PM1 and PM2 test conditions. However, in the P20 tool steel, the fracture toughness remained approximately constant, indicating that the repair process parameters did not affect this parameter. This fracture toughness reduction can be explained by the deposition defects found in each series.
Figure 4 depicts the fracture profile for each series.
Figure 4 shows that the repair process applied in both series introduced a high amount of deposition defects, such as porosity, non-wetting, and unfused zones. The presence of these defects led to a lower mechanical performance. However, when comparing both steel series, a lower number of deposition defects was observed in the P20 steel, demonstrating the better weldability of this steel.
Figure 5 shows the S-N curves for each case studied regarding the effect of the repairing process on the fatigue behavior. All series suffered reductions in fatigue strength in comparison to the BM, mainly due to the metallurgical defects found in the repaired zones.
Table 6 presents the percentage reduction in the fatigue strength for each series.
Figure 6 and
Figure 7 present the fatigue fracture surfaces for all series. It can be clearly observed that there were very important metallurgical defects introduced by the repairing process (PM1 and PM2), such as incomplete fusion. Incomplete fusion, where the repaired zone does not fully integrate with the base material, creates weak spots that are highly susceptible to fatigue crack initiation. These weak spots reduce the overall load-bearing capacity of the material, leading to premature failure. Similarly, porosity, which refers to trapped gas pockets within the weld, compromises the uniformity and mechanical properties of the material. The presence of these voids can significantly reduce the fatigue strength, as they act as stress risers.
In order to minimize the loss of fatigue strength in each steel, a new set of repairing parameters was used (obtained through a trial and error process), implying a greater amount of energy induced during the repair process, which contributed to better penetration and fusion in both steels.
Table 7 presents the parameters used for the laser beam fusion deposition process in the optimized series (PM3). The QuFe13 filler material was used in this series.
In the first approach, a metallographic observation was used to analyze the PM3 series.
Figure 8 clearly shows a drastic metallurgical defect reduction in comparison with previously analyzed series PM1 and PM2. The arrows mark small metallurgical defects, such as a lack of fusion. As expected, this metallurgical defect reduction is reflected in the fatigue resistance of the PM3 series. This test series presents the higher fatigue strength of all the analyzed series, which, therefore, underwent a lower loss of fatigue strength compared to the base material, as can be observed in
Figure 9. This figure shows the comparison of the S-N curves (R = 0) for all tested series (PM1, PM2, and PM3). The PM3 series presents a reduction in fatigue strength in comparison with the BM of about 34.22% for the H13 steel and 30.68% for the P20 steel, which represents a much lower reduction than those observed for the PM1 and PM2 series.
Figure 10 presents an example of the fatigue fracture surfaces for the PM3 series, where
Figure 10a corresponds to the H13 steel and
Figure 10b to the P20 steel. The black arrows point out small incomplete fusions while the yellow arrows highlight some porosity. By analyzing the facture surfaces resulting from the fatigue tests, it is possible to confirm the drastic reduction in metallurgical defects in comparison with the PM1 and PM2 series. Only small porosities and a lack of fusion were observed, thus resulting in significantly fewer critical defects than in the PM2 and PM3 series.
4. Discussion
The main objective of this work was to study the fatigue behavior of AISI H13 and AISI P20 steels previously prepared with U-shaped notches and filled via laser beam fusion deposition, then subjected to dynamic loads with a stress ratio of R = 0. As already mentioned, these materials are widely used in the mold industry. For example, they are used for aluminum casting molds, plastic injection molds, and hot work tools.
Regarding hardness tests, in both repaired series studied herein, there was a momentary increase in the hardness value in the HAZ caused by decarburization and the formation of hard carbides in the area. These hardness values quickly returned to typical BM values when approaching this zone. In FZ, there was a significant decrease in hardness due to carbon migration, but also due to the melting of the filling material, which resulted in a detrimental effect on the mechanical properties in this area (mainly in the H13 steel series). It was observed through tensile tests that the repair process caused a decrease in the ultimate stress of the materials, and that there was also a marked decrease in ductility at failure, just above yield stress, especially in the H13 repaired series, which only achieved a strain rate close to 1%. The non-optimized series that were repaired in order to simulate a mold repair process had much lower fatigue strength when compared to their respective base materials. This is a consequence of the notch introduction and subsequent filling with the additional material. Likewise, the severity of the defects observed in the molten zone negatively influenced the fatigue life of the materials since they promoted nucleation, followed by propagation of cracks, representing potential sites of failure. In general, the PM1 repair parameters led to higher fatigue strength than the PM2 parameters in both steels. From the macrographs of the fracture surface, it is possible to identify that the reason for this behavior was the higher rate of planar defects present in the PM2 series. Regarding the fatigue life of the steels, it was found that the P20 repaired series showed better fatigue strength than the H13 series for the two repair parameters used, which indicates a lower weldability of H13 steel in comparison to P20 steel, as well as higher defect sensibility.
A lower amount of energy was introduced (see
Table 3) in the repairing process when comparing the repairing parameters of the PM2 series with the PM1 series. Therefore, a lower quality of reparation was achieved when using the PM2 parameters. Nevertheless, the amount of energy did not seem to be appropriate in either case, given that both showed critical defects, namely, unfused zones. The worst case was the PM2 repair parameters.
The metallographic analysis revealed metallurgical defects like porosity, non-wetting, and unfused zones. These defects had a negative influence on the mechanical strength. In both materials, the PM2 series showed the worst mechanical behavior. The fatigue life is strongly influenced by the quantity, size, and location of metallurgic defects [
20]. However, the reparation process was applied with success, and can be applied as palliative reparation using the laser beam fusion deposition parameters used in the PM3 test series. Introducing a slightly higher amount of energy in the repair process would avoid the most critical defects, such as unfused zones, leading to good mechanical behavior.
The power of a laser significantly influences the metallurgical defects observed in metallic materials during laser processing. High laser power can lead to increased temperatures, which in turn affect the microstructure and mechanical properties of the material. For instance, excessive laser power can cause overheating, resulting in defects such as porosity, cracking, and excessive grain growth. These defects are critical in applications requiring high precision and mechanical strength. Porosity, a common defect, occurs when gas bubbles are trapped during rapid solidification. This can weaken the material and lead to failure under stress. Cracking, another defect, often results from thermal stresses due to rapid cooling and solidification rates. High power density can also induce unwanted phase transformations, leading to the formation of brittle phases that degrade the material’s performance. A lack of fusion, resulting from lower energy density from laser deposition in the same way as the internal porosity, can weaken the material and lead to failure under stress.
Studies have shown that optimizing laser parameters, including power, is crucial to minimizing these defects. For example, laser welding requires careful control of power to ensure a balance between penetration depth and heat input while avoiding defects. By understanding the interplay between laser power and metallurgical responses, engineers can better tailor laser processing techniques to enhance the quality and reliability of metallic components [
21,
22].
Author Contributions
J.d.J.: data curation, formal analysis, methodology, validation, writing—original draft. J.A.M.F.: funding acquisition, project administration, supervision, writing—original draft. J.D.M.d.C.: supervision, methodology, validation. C.C.: resources, writing—review and editing, validation. L.B.: validation, writing—review and editing. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Portuguese Foundation of Science and Technology (FCT) under the projects UIDB/00285/2020 and LA/P/0112/2020.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Acknowledgments
The authors gratefully acknowledge the financial support through the Portuguese Foundation of Science and Technology (FCT) under the projects UIDB/00285/2020 and LA/P/0112/2020.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
Geometry of used specimens (mm).
Figure 2.
Hardness profiles. (a) H13 PM1 and PM2 series and (b) P20, PM1, and PM2 series.
Figure 3.
Uniaxial tensile tests. (a) H13 PM1 and PM2 series. (b) P20, PM1, and PM2 series.
Figure 4.
Fracture profile for each series.
Figure 5.
S-N curves (R = 0). (a) H13 PM1 and PM2 series. (b) P20, PM1, and PM2 series.
Figure 6.
Fatigue fracture surface for H13, PM1, and PM2 series.
Figure 7.
Fatigue fracture surface for P20, PM1, and PM2 series.
Figure 8.
Metallographic surfaces of PM3 series. (a) H13; (b) P20.
Figure 9.
S-N curves (R = 0) for all analyzed series. (a) H13; (b) P20.
Figure 10.
Fatigue fracture surface for PM3 series. (a) H13; (b) P20.
Table 1.
Average chemical composition of AISIH13 and AISI P20 steels (wt %).
Steel | C | Si | Mn | Cr | Mo | Ni | V |
---|
AISI H13 | 0.32–0.45 | 0.80–1.20 | 0.20–0.50 | 4.75–5.50 | 1.10–1.75 | 0.30 | 0.8–1.20 |
AISI P20 | 0.28–0.40 | 0.20–0.80 | 0.60–1.00 | 1.40–2.00 | 0.30–0.55 | 1.00 | - |
Table 2.
Filler material used in the laser beam fusion deposition process.
Designation | W-Nr | Hardness (HV) | Diameter (mm) | εf (%) | σuts (MPa) |
QuFe10 | 1.5424 | 286–363 | 0.5 | 23–27 | 1130 MPa |
Chemical composition (wt %) |
Si | Cu | Mo | Mn | Ni | Cr | Fe |
0.53 | 0.04 | 0.45 | 0.86 | 0.04 | 1.2 | Remainder |
Designation | W-Nr | Hardness (HV) | Diameter (mm) | εf (%) | σuts (MPa) |
QuFe13 | 1.5424 | 413–460 | 0.5 | 30 | 1115 MPa |
Chemical composition (wt %) |
Si | Ti | Mo | Mn | C | Cr | Fe |
0.5 | 0.6 | 4 | 0.7 | 0.25 | 5 | Remainder |
Table 3.
Parameters used for laser beam fusion deposition process with each material (unoptimized series).
Material | Series | Voltage (V) | Frequency (Hz) | Energy (J) | Power (kW) |
---|
AISI H13 | PM1 | 275 | 5.6 | 17.7 | 2.5 |
PM2 | 250 | 11 | 6.2 | 2 |
AISI P20 | PM1 | 275 | 5.6 | 17.7 | 2.5 |
PM2 | 250 | 11 | 6.2 | 2 |
Table 4.
Mechanical parameters obtained from uniaxial tensile tests.
Series | σys (MPa) | σuts (MPa) | εf (%) | σys Reduction (%) | σuts Reduction (%) | εf Reduction (%) |
---|
H13 BM | 1310 | 1537 | 9.35 | - | - | - |
H13_PM1 | 1290 | 1332 | 0.99 | 1.52 | 13.33 | 89.41 |
H13_PM2 | 1150 | 1158 | 0.46 | 12.21 | 26.61 | 95.08 |
P20 BM | 868 | 994 | 12.5 | - | - | - |
P20_PM1 | 847 | 921 | 2.3 | 2.42 | 7.34 | 81.61 |
P20_PM2 | 880 | 863 | 1.85 | 0 | 13.18 | 85.21 |
Table 5.
Values obtained for fracture toughness (KIC).
Series | KIC (MPa·m0.5) | Reduction (%) |
---|
H13 BM | 89.63 | - |
H13_PM1 | 47.86 | 46.61 |
H13_PM2 | 42.53 | 52.55 |
P20 BM | 66.17 | - |
P20_PM1 | 54.21 | 18.07 |
P20_PM2 | 53.72 | 18.81 |
Table 6.
Fatigue strength for the analyzed test conditions.
Series | σf, 106 Cycles [MPa] | Reduction (%) |
---|
H13 BM | 865 | - |
H13_PM1 | 258 | 70.17 |
H13_PM2 | 201 | 76.76 |
P20 BM | 642 | - |
P20_PM1 | 281 | 56.23 |
P20_PM2 | 256 | 60.12 |
Table 7.
Parameters used for the laser beam fusion deposition process in the optimized series.
Material | Series | Voltage (V) | Frequency (Hz) | Energy (J) | Power (kW) |
---|
AISI H13 | PM3 | 325 | 7 | 15 | 3.5 |
AISI P20 | PM3 | 325 | 7 | 15 | 3.5 |
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