Abstract:Investigation of the selective laser melting (SLM) process, using finite element method, to understand the influences of laser power and scanning speed on the heat flow and melt-pool dimensions is a challenging task. Most of the existing studies are focused on the study of thin layer thickness and comparative study of same materials under different manufacturing conditions. The present work is focused on comparative analysis of thermal cycles and complex melt-pool behavior of a high layer thickness multi-layer… Show more
“…The gas flow system, which provided the EOS machine, including all its components, is summarized in Figure 4. All the specimens were exposed with the following process parameters, widely developed in previous literature studies [46,47]: Laser Power 280W, Scanning Speed 1000 mm/s and Hatch Distance 0.10 mm.…”
Section: Methodsmentioning
confidence: 99%
“…This phenomenon is evaluated through two case studies using nickel-based superalloy Inconel 718 and investigating the effect on two layers thickness, respectively, of 40 and 60 microns. All the results are evaluated through the Melt Pool analysis [31][32][33][34] of several Single and Multi-Tracks [35][36][37][38]. More specifically, it will be investigated if the preheating temperature affects the Melt Pool shape and the Melting regime as a function of the substrate height of the tested specimen.…”
Section: Effect Of Preheating Temperaturementioning
The paper aims to investigate some important thermal effects that could affect the Additive Manufacturing (AM) process of Laser Powder Bed Fusion. This analysis starts with investigating the variation of the material substrate temperature due to a variation of the Interlayer Cooling-Time (ILCT); then, the paper analyzes the effect of Preheating temperature on the material microstructure of the first building layers. Finally, we assess the effect of variation in gas flow speed as a function of part position on the building platform. In addition, in this work, the previously mentioned thermal aspects are evaluated in detail under particular geometrical and printing conditions considered the most critical for the L-PBF process. All cases studied are performed on IN718 superalloy specimens. In particular, for ILCT investigation, 60 microns layered specimens are printed for Preheating temperature analysis 40 and 60 layered specimens and for gas flow speed evaluation 40 microns one. All the results are evaluated through a porosity and melt pool analysis. The results obtained in this work highlight a critical range for low ILCT, 2-6 seconds, for part integrity that could be affected by overheating effects. To avoid this criticality, inserting ghost parts during the printing or reducing the laser power value is suggested. Concerning the preheating temperature effect, the first 1.2 mm of printed layers are found to be critical and affected by melt pool instability. In this case, a sacrificial substrate used in the first layers could save the quality of a few layers height part. The gas flow analysis highlights how some areas of the building platform are affected by particular thermal conditions negatively influencing material printability. To minimize this issue as much as possible, modify the job layout to avoid printing parts in the critical zones.
“…The gas flow system, which provided the EOS machine, including all its components, is summarized in Figure 4. All the specimens were exposed with the following process parameters, widely developed in previous literature studies [46,47]: Laser Power 280W, Scanning Speed 1000 mm/s and Hatch Distance 0.10 mm.…”
Section: Methodsmentioning
confidence: 99%
“…This phenomenon is evaluated through two case studies using nickel-based superalloy Inconel 718 and investigating the effect on two layers thickness, respectively, of 40 and 60 microns. All the results are evaluated through the Melt Pool analysis [31][32][33][34] of several Single and Multi-Tracks [35][36][37][38]. More specifically, it will be investigated if the preheating temperature affects the Melt Pool shape and the Melting regime as a function of the substrate height of the tested specimen.…”
Section: Effect Of Preheating Temperaturementioning
The paper aims to investigate some important thermal effects that could affect the Additive Manufacturing (AM) process of Laser Powder Bed Fusion. This analysis starts with investigating the variation of the material substrate temperature due to a variation of the Interlayer Cooling-Time (ILCT); then, the paper analyzes the effect of Preheating temperature on the material microstructure of the first building layers. Finally, we assess the effect of variation in gas flow speed as a function of part position on the building platform. In addition, in this work, the previously mentioned thermal aspects are evaluated in detail under particular geometrical and printing conditions considered the most critical for the L-PBF process. All cases studied are performed on IN718 superalloy specimens. In particular, for ILCT investigation, 60 microns layered specimens are printed for Preheating temperature analysis 40 and 60 layered specimens and for gas flow speed evaluation 40 microns one. All the results are evaluated through a porosity and melt pool analysis. The results obtained in this work highlight a critical range for low ILCT, 2-6 seconds, for part integrity that could be affected by overheating effects. To avoid this criticality, inserting ghost parts during the printing or reducing the laser power value is suggested. Concerning the preheating temperature effect, the first 1.2 mm of printed layers are found to be critical and affected by melt pool instability. In this case, a sacrificial substrate used in the first layers could save the quality of a few layers height part. The gas flow analysis highlights how some areas of the building platform are affected by particular thermal conditions negatively influencing material printability. To minimize this issue as much as possible, modify the job layout to avoid printing parts in the critical zones.
“…Predicting these effects employing quasi-static elastoplastic models prior to fabrication facilitates a reduction in the above-mentioned artifacts to achieve a high-quality part [ 2 , 28 , 141 ]. Quasi-static elastoplastic models in general constitute a twofold process and can be categorized into (a) coupled and (b) weakly/uncoupled methods [ 35 , 90 , 103 , 117 ]. A coupled analysis considers the effects of thermal expansion on the mechanical properties within the model, while the weakly coupled model assumes them to be independent and requires the user to serve as a middleman.…”
We present a scrutiny on the state of the art and applicability of predictive methods for additive manufacturing (AM) of metals, alloys, and compositionally complex metallic materials, to provide insights from the computational models for AM process optimization. Our work emphasizes the importance of manufacturing parameters on the thermal profiles evinced during processing, and the fundamental insights offered by the models used to simulate metal AM mechanisms. We discuss the methods and assumptions necessary for an educated tradeoff between the efficacy and accuracy of the computational approaches that incorporate multi-physics required to mimic the associated fluid flow phenomena as well as the resulting microstructures. Finally, the current challenges in the existing approaches are summarized and future scopes identified.
“…Despite all these advantages compared to the conventional machining methods, this process is affected by low efficiency in terms of material handling, high maintenance costs and low production volume [13]. The build rate of L-PBF is roughly estimated to be around 40 cm 3 /h, lower than that estimated for electron beam melting (EBM) and direct energy deposition (DED) of 70-100 and 140 cm 3 /h, respectively [14].…”
Section: Introductionmentioning
confidence: 99%
“…The use of L-PBF can solve some of the manufacturing problems of these materials, which are difficult to manufacture using conventional machining methods due to their high hardness and low thermal conductivity. Despite all these advantages compared to the conventional machining methods, this process is affected by low efficiency in terms of material handling, high maintenance costs and low production volume [13]. The build rate of L-PBF is roughly estimated to be around 40 cm 3 /h, lower than that estimated for electron beam melting (EBM) and direct energy deposition (DED) of 70-100 and 140 cm 3 /h, respectively [14].…”
This paper investigates the effects on the material microstructure of varying the Inter-Layer Cooling Time (ILCT) during the printing process in laser powder bed fusion (L-PBF) multi-laser machines. Despite these machines allowing higher productivity rates compared to single laser machines, they are affected by lower ILCT values, which could be critical for material printability and microstructure. The ILCT values depend both on the process parameter sets and design choices for the parts and play an important role in the Design for Additive Manufacturing approach in L-PBF process. In order to identify the critical range of ILCT for this working condition, an experimental campaign is presented on the nickel-based superalloy Inconel 718, which is widely used for the printing of turbomachinery components. The effect of ILCT on the microstructure of the material is evaluated in terms of porosity and melt pool analysis on printed cylinder specimens, considering ILCT decreasing and increasing in the range of 22 to 2 s. The experimental campaign shows that an ILCT of less than 6 s introduces criticality in the material microstructure. In particular, at an ILCT value of 2 s, widespread keyhole porosity (close to 1‰) and critical and deeper melt pool (about 200 microns depth) are measured. This variation in melt pool shape indicates a change in the powder melting regime and, consequently, modifications of the printability window promoting the expansion of the keyhole region. In addition, specimens with geometry obstructing the heat flow have been studied using the critical ILCT value (2 s) to evaluate the effect of the surface-to-volume ratio. The results show an enhancement of the porosity value (about 3‰), while this effect is limited for the depth of the melt pool.
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