1. Introduction
Additive Manufacturing (AM) is a promising technological process that fabricates a full 3D component layer-by-layer directly from a 3D model, rather than using common manufacturing methods (machining) that remove material [
1,
2]. AM enables engineers to design parts with intricate shapes that meet client requirements in accordance with their imaginations [
2]. The aerospace and automotive industry can use AM to produce lightweight components that can lower the amount of fuel consumed [
3]. Machines with larger build volumes are capable of fabricating large quantities of parts with distinct shapes at once [
1]. Selective Laser Melting (SLM) is a Laser Powder Bed Fusion (LPBF) technique that selectively melts powder layers using a laser to fabricate a 3D component according to the cross-sectional profile of the Computer-Aided Drafting (CAD) model [
4,
5]. Aeroswift (see
Figure 1) is a large volume AM machine designed and constructed in South Africa (Pretoria) in a collaboration between the Aerospace company Aerosud and the Council for Scientific and Industrial Research (CSIR). The Aeroswift uses SLM technology to build complex titanium parts using a fiber laser of up to 5 kW output power.
SLM processing generates residual stresses caused by large thermal stresses due to high temperatures, laser melting, and fast cooling, resulting in potential part cracking or warping [
6]. Waqar et al. [
5] added that residual stresses are among the topmost common causes of premature failure of components when using SLM process, therefore implementing an in situ process technique to lower or eliminate residual stress is of high value as it will prevent parts from failing during and after the building process. Aeroswift’s current 640 × 340 × 600 mm powder bed platform features a preheating system (see
Figure 2) designed to preheat the build plates (substrates) up to 600 °C to reduce residual stresses. A test conducted on the Aeroswift platform showed that the preheating system only achieves temperatures of less than 300 °C above the build plate. The stainless-steel 17-4ph powder pool (see
Figure 2) contains the titanium (Ti6A14V) build plates (substrates) mounted on a mild (low-carbon) steel baseplate that rests on stainless steel 304 heater holders containing Aluminum Nitride 3 kW ceramic heaters. The heaters are isolated from the heater holders by 5 mm thick insulation mats. The stainless steel 304 heater holders rest on the stainless steel 304 inner and outer faces connected to stainless steel 304 pillars and the baseplate is bolted to the pillars through the inner face component using M20 mild (low carbon) steel bolts.
Studies have shown that using a preheating system minimizes tensile residual stresses [
6,
7,
8,
9,
10,
11,
12], therefore improving the quality of the part and reducing part premature failure during building. A 510 Watt Nd-YAG laser was used by Liu et al. [
6] to preheat yttria-stabilized zirconia ceramics to a maximum temperature of 2500 °C and observe a reduction in vertical cracks and porosity. Ali et al. [
7] studied the effects of baseplate preheating on the residual stress formation, microstructure, and mechanical properties of Ti6A14V SLM-built parts using up to 800 °C baseplate preheating. They reduced residual stresses by 88.3% when preheating at 470 °C; furthermore, no substantial stresses were formed when preheating at 570 °C, 670 °C, and 770 °C. Roehling et al. [
8] used an in situ annealing approach to reduce residual stresses in 316L steel bridges fabricated by LPBF using four laser diodes as preheating devices with 1.25 kW power each and observed that preheating at 625 °C substantially lowered residual stresses. Fries et al. [
9] built crack-free tool inserts of WC-17Co at 900 °C baseplate preheating using an inductive heating device. They obtained microstructural and mechanical properties comparable to tools produced through conventional methods. Crack-free y-tiAl parts were built at 800 °C preheating by Calprio et al. [
10], using an induction coil that heated the entire build volume. Saewe et al. [
11] employed a baseplate preheating method that could heat up to 800 °C to process high special steel (HSS) and built crack-free samples when using 200 °C and 500 °C preheating temperatures. Meterns et al. [
12] investigated the effects of elevated temperatures on the microstructure and mechanical properties of H13 tool steel, where a 300 W Yb:YAG fiber laser and baseplate preheating were utilized. Parts preheated at 400 °C had tensile strengths comparable to conventionally manufactured parts. Hardness was also improved over conventional materials.
Studies on the development of baseplate preheating are limited and preheating for large volumes close to that of the Aeroswift platform has yet to be reported. Studies reviewed had lower build volumes compared to that of the Aeroswift platform, but they had higher heating power compared to the Aeroswift platform since it utilizes 6 kW to heat its current build volume. Calprio et al. [
10] used 960 W to heat a 38 mm diameter volume to 800 °C, while Das et al. [
13] used 20 kW to heat the entire chamber of volume. The research aimed to determine the cause of the preheating system’s inefficiency and to provide recommendations on design upgrades to achieve the desired performance. Determining the minimum insulation thickness and type of insulation was also covered in this study. Thermal analysis was performed on the current preheating system where the test was replicated in the thermal analysis to study the cause of its inefficiency. Furthermore, experimental work was carried out to test the performance of the preheating system’s components. FEA and experimental results led to the development of two preheating concepts that were also thermally analyzed using FEA.
2. Materials and Methods
2.1. Materials
The material properties used during simulation or experimental testing are provided. Stainless steel 304 material with a density of 8000 kg/m3, a specific heat capacity of 504 J/kgK, and thermal conductivity of 16.2 W/mK was used in the experiments and also assigned to the heater holder, faceplate, pillars, and inner and outer faceplate during FEA. A density of 7850 kg/m3, a specific heat capacity of 510.8 J/kgK, and thermal conductivity of 54 W/mK were assigned to the mild steel baseplate and the bolts. The build plates in FEA were assigned titanium Ti64-Al 4 V material with a density and thermal conductivity of 4420 kg/m3 and 7.2 W/mK, respectively. The material (Aluminum Nitride) that forms the 290 × 290 × 23 mm 3 kW ceramic heater used in FEA and experiments had a density, specific heat capacity, and thermal conductivity of 1900 kg/m3, 740 J/kgK, and 180 W/mK, respectively. The FEA and insulation used a 5 mm thick Cermex BK2100SW (Mid-Mountain Materials, Inc., Seattle, WA, USA) insulation mat with a density, specific heat capacity, and thermal conductivity of 128 kg/m3, 700 J/kgK, and 0.11 W/mK, respectively. The insulation mat was the material used to thermally isolate the heater from the stainless steel 304 heater holder. The insulation box used for experiments was fabricated using 25 mm thick Monolux-800 fiberboards (Promat Monolux, Midrand, South Africa) with a density of 950 kg/m3, a specific heat capacity of 1030 J/kgK, and thermal conductivity of 0.25 W/mK. The Monolux-800 fiberboards were also used as insulation below the heater during experiments and were also used during FEA analysis as a potential insulation material. The walls of the powder pool in FEA were assigned stainless steel 17-4ph material with a density of 7750 kg/m3 and thermal conductivity of 17.9 W/mK. The QG-1.1 silica insulation brick with a density of 1100 kg/m3 and thermal conductivity of 0.6 W/mK was used in FEA as potential thermal insulation for the heater. FEA used emissivities of 0.35, 0.51, 075, 0.85, and 0.8 on all exposed surfaces of stainless steel 304 and 17-4ph, titanium Ti64-Al 4V, Monolux-800 fiberboards, and QG-1.1 silica insulation brick, respectively.
2.2. Methods of Experiments
The experiments were conducted in an insulation box (see
Figure 3) with a ceramic heater, which was placed above a rigid Monolux-800 insulation fiberboard supported by two 70 × 70 × 300 mm mild steel tubes. The sides of the heaters were also insulated by 70 mm wide Monolux-800 insulation fiberboards of 25 mm thickness. The heater’s resistive wires were extended to the outside of the insulation box for electrical connections. Material that had to be tested was always placed above the heater during testing. Tests were conducted with the box covered on all sides using the same material.
An outsourced power box was used to supply power to the heater, and it was equipped with a temperature control system that controlled and monitored the temperature of the heater. Three K-type thermocouples were used to measure temperatures that would be logged using an Arduino board and software. A fourth K-type thermocouple (RS Pro, Midrand, South Africa) was used by the power box to measure the temperature of the heater for control. Temperature data were acquired using an Arduino program developed in Arduino software, where three K-type thermocouples provided temperatures to a MAX6675 module, which digitized signals from the K-type thermocouples and sent them to an Arduino board, which then output the temperature data. During testing, the heater was always heated from room temperatures to targeted temperatures, where heating involved ramping the heater up at 100 °C increments with a 10 min delay between each increment until reaching the target temperature (to prevent the heater from cracking due to potential moisture).
2.2.1. Heater Test
The heater specification states a temperature of 1000 °C is possible, therefore it was tested to validate the performance and also to ensure that the heater was not defective. The heater was placed above a fiberboard that rested on two mild steel 70 × 70 × 300 mm tubes, as shown in the schematic of
Figure 3. Another fiberboard was placed above the heater to reduce or eliminate heat loss through radiation and convection on the top surface of the heater. A thermocouple 1 (T1) measured the temperature after (above) the top fiberboard insulation. Thermocouple 2 (T2) measured the temperature below the heater while thermocouple 3 (T3) measured the temperature below the bottom insulation, which was 50 mm thick. The heater was heated to just over 800 °C before ending the test, which took 90 min.
2.2.2. Current Insulation Material Experimental Methods
This test was conducted to determine the performance of the 5 mm thick Cermex BK2100SW (Mid-Mountain Materials, Inc., Seattle, WA, USA) insulation material that was used in the Aeroswift machine to isolate the heater from the mechanical components. The insulation was placed above the heater and thermocouple 1 (T1) measured the temperature after (above) the Cermex BK2100SW insulation mat, as shown in the schematic of
Figure 3 above. Thermocouple 2 (T2) measured the temperature below the heater, while thermocouple 3 (T3) measured the temperature below the bottom insulation, which were two 25 mm thick insulation boards. The heater was heated to a maximum and constant temperature of 500 °C, which was kept constant for 30 min before ending the experiment after 82 min.
2.2.3. Steel Test
This experiment aimed to determine the maximum temperature above a 320 × 315 × 20 mm stainless steel plate placed above the heater. This would provide insight into the duration it takes to reach a stable and maximum temperature above the steel plate. This would also provide insight into the challenges involved in heating thick metals to high temperatures above 500 °C. The test followed the same procedures used when conducting the insulation test, the main difference was that the steel plate was placed above the heater and the heater was heated to a high temperature of 700 °C and kept constant for 35 min until being heated to a maximum and constant temperature of 800 °C for 40 min. The experiment was conducted for 184 min (3 h).
2.2.4. Validation Model Experimental Methods
To verify the simulation results, a basic model was created, on which thermal analysis and experimental testing were conducted to demonstrate the accuracy of the thermal analysis approach used. The experimental setup is shown in
Figure 4 below, where the heater was heated to 600 °C and maintained at that temperature for three hours. Under the heater were two thermocouples: thermocouple 1 (T1) was used to record and log temperature data, and the other thermocouple was utilized by the power supply to regulate the heater’s temperature. The temperature below the insulation board was measured by thermocouple 2 (T2). Temperature below the stainless-steel plate was measured by thermocouple 3 (T3).
2.3. Finite Element Analysis Study
In this research work, a thermal analysis was performed using Siemens SimCenter (Thermal) solver (Siemens, Pretoria, South Africa) and the important details are given in the following subsections. FEA was performed on the current preheating system, the preheating concepts developed to improve preheating performance, the basic model developed to validate simulation results, and also the current insulation material used in the Aeroswift platform.
2.3.1. Current Preheating System
Steady-state thermal analysis was conducted to replicate the test where the inefficiency of the preheating system was initially discovered, to compare results and then determine the cause of heat loss in the system. Most 3D components were defined with 3D tetrahedral meshes where TET4 element types were used for meshing. Thin large 3D components were meshed using 2D mesh, where QUAD4 thin shell element type was applied to the large surface areas and then projected to the entire thickness using the 3D swept mesh with HEXA8 element type. Mesh element sizes were first determined based on the recommended sizes by the software and then mesh convergence was performed after obtaining results to determine whether the results would change after decreasing mesh sizes by half. Material properties detailed above were used when performing the simulation.
Boundary Conditions and Loads
Perfect contact resistances were assumed for all surfaces that were in contact. An ambient temperature of 30 °C and radiation losses were applied on all exposed surfaces. A heat load of 1,785,714 W/m
3 obtained from Equation (1) was applied to the volume of the heater, where
and
V was the heater output power (W) and the volume (m
3) of the heater, respectively.
A velocity of 1 m/s for forced convection inside the chamber was assumed based on 10 m/s obtained from Equation (2), which calculated argon circulated in the Aeroswift platform using a roots blower.
where
,
and
were flow rate (m
3/s) in a 100 mm pipe, gas velocity (m/s), and the area (m
2) of the pipe.
2.3.2. Preheating Concept 1 (QuickPre) and Concept 2 (HeatGenPro)
Two preheating concepts were developed to achieve the target temperatures of up to 600 °C. The concepts were both thermally analyzed to evaluate the capability of reaching the target temperature. Preheating Concept 1, also referred to as QuickPre, followed a similar process to the one used during the analysis of the current preheating system. The main difference was the heat load applied, since the simulation was conducted assuming that the heater was able to produce a constant temperature of 800 °C above the heater. In Preheating Concept 2, also referred to as HeatGenPro, the main difference from the procedures used in concept 1 was that emissivity of 0.8 was used on all the exposed fire brick walls. FEA was performed with the following assumptions: steady-state, perfect contact, forced convection with a velocity of 1 m/s, and the bottom of the pillars was at 25 °C.
2.3.3. Validation Model FEA Methods
The basic model (see
Figure 5) which served as a baseline for evaluating the accuracy of the simulation work was simulated to compare the simulated and experimental outcomes. The model was meshed using a 3D tetrahedral mesh of TET4 element types and thermally analyzed using steady-state analysis. All exposed surfaces received radiation according to the emissivity of the various materials. All exposed surfaces were subjected to free convection at a 20 °C ambient temperature. A load of 600 °C was applied to the bottom surface of the heater and all surfaces in contact were assumed to be in perfect contact.
2.3.4. Current Insulation Material FEA Methods
A transient state analysis was performed to simulate the experiment conducted in the insulation box to compare the results. The analysis used a similar approach to all previous analyses, where 3D tetrahedral meshes were applied to all 3D parts. Radiation and convection were applied to all exposed surfaces together with an ambient temperature of 25 °C. Surfaces in contact were assumed to be in perfect contact. To produce a maximum temperature close to 500 °C, as in the experiment, only 52% of the total 3 kW heater power was used, which was 928,571 W/m3 on the volume of the heater.
4. Conclusions
The current research studied the performance of a preheating system in AM for a large build volume powder bead system that does not perform sufficiently. The following conclusions were made from the study:
FEA revealed that the heater holder experienced high temperatures that were only 13.9% lower than the heater, which was at 395 °C, indicating that the insulation did not significantly reduce heat flow from the heater to the heater holder.
A test carried out to confirm the poor performance of the current insulation showed its efficiency was only 44%. This was after the back surface of the insulation reached 270 °C when its front surface was heated to 500 °C. An increase in insulation thickness is required to obtain target objectives, or an alternative material is required.
Analytical calculations performed showed that due to significantly lower heat loss, the Cermex BK2100SW insulation material requires a minimum thickness of 20 mm.
The QuickPre concept developed to improve the performance of the heater illustrated the capability of reaching 650 °C above the build plate during its thermal analysis. This was because several thick components that caused more heat loss were eliminated.
Thermal analysis performed on the HeatGenPro concept showed that the build plate reached 678 °C surface temperatures, with the holder reaching around 168 °C, which was 63.5% lower than 460 °C obtained in the QuickPre concept.
HeatGenPro is recommended for fabrication and implementation and is anticipated to achieve the target temperature of 600 °C above the build plate, owing to the elimination of several mechanical components with high thermal conductivities. This study demonstrated the cause of the inefficiency of the preheating system; moreover, two ideas were constructed and simulated that demonstrated increased performance to attain elevated temperatures. It has given researchers a better understanding of the development and improvement of a high-temperature preheating system for large-scale additive manufacturing systems, which will facilitate the mitigation of adverse residual stresses that cause premature failure of parts in Additive Manufacturing, particularly Selective Laser Melting. Further research is required to establish the effectiveness of higher pre-heating temperatures to reduce residual stresses for large scale AM builds. Furthermore, the impact of applying increased temperature on titanium (Ti-6Al-4V) powder should be investigated to determine its effect on reusability.