Computer Methods in Materials Science
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ISSN 2720-4081
e-ISSN: 2720-3948
Issue Date
2023
Volume
Vol. 23
Number
No. 1
Description
Journal Volume
Computer Methods in Materials Science
Vol. 23 (2023)
Projects
Pages
Articles
The role of die definition in the numerical simulations of two-points incremental forming processes
(Wydawnictwa AGH, 2023) Perzyński, Konrad; Pawlikowski, Kacper; Madej, Łukasz
The main objective of this work is to investigate the influence of the definition of dies type in the finite element simulation of the two-points incremental forming processes (TPIF). Particular attention is on determining the effect of assigning elastic properties for the 3D printed dies or considering fully rigid on the final results. During the research, three different shapes of dies were analyzed. Simulation results in the form of sheet thickness distributions and measured forces are presented for comparison purposes.
The use of generative models to speed up the discovery of materials
(Wydawnictwa AGH, 2023) Coto, Andrea Gregores; Precker, Christian Eike; Andersson, Tom; Laukkanen, Anssi; Suhonen, Tomi; Rodriguez, Pilar Rey; Muíños-Landín, Santiago
Material Science is a key factor in the evolution of many industrial sectors. Fields such as the aeronautics, automotive, construction, and biotechnology industries have experienced tremendous development with the introduction of advanced, high-performance materials. Such materials not only provide new functionalities to products, but also significant consequences in terms of economic and environmental sustainability of the products and processes triggered by the more efficient use of energy that they provide. Under this scenario, materials that provide such high performance, such as high entropy alloys (HEAs) or polymer derived ceramics (PDCs), have captured the attention of both industry and researchers in recent years. However, the remarkable number of resources required to develop such materials, from its design phase to its synthesis and characterization, means that the discovery of new high-performance materials is moving at a relatively low pace. This fact places emergent strategies based on artificial intelligence (AI) for the design of materials in a good position to be used to accelerate the whole process, providing an impulse in the initial phases of materials design. The enormous number of combinations of elements and the complexity of synthesizability conditions of HEAs and PDCs respectively, paves the way to the deployment of AI techniques such as Generative Models addressed in this work to create synthetic HEAs and PDCs for highly intensive industrial processes. A specific conditional tabular generative adversarial network (CTGAN) was developed to be used on tabular data to generate novel synthetic compounds for each kind of material. The generated synthetic data was based on the conventional parametric design parameters used for HEAs and PDCs, with specific datasets created for them. The real and generated data are compared, calculation of phase diagrams (CALPHAD) simulations are provided to evaluate the performance of the generated samples and a verification of the novel generated compositions is done in open materials databases available in the literature.
Grain size measurement using a semi-automatic calculation tool
(Wydawnictwa AGH, 2023) Mernache, Fatah; Sehisseh, Abdelaziz; Amrane, Amina; Hadji, Said; Melhani, Yasmine; Grine, Mohamed; Messai, Lakhdar
This paper focuses on the development of a semi-automatic calculation tool to measure the Mean Linear Intercept (MLI) grain size of ceramics and other materials. The calculation tool was first verified and validated by using a certified micro-ruler and literature microstructures. It was then used to investigate the grain growth of $UO_{2}$ pellets elaborated under different conditions. The tool offers the advantage of accuracy as well as the ability to quantify microstructures obtained with poor image quality. The estimated measurement errors were found to be less than 1 ?m. The developed tool, mainly for the purpose of time-saving, allowed us to follow the microstructure (grain size) evolution of the elaborated $UO_{2}$ fuel with different additives.
Generation of large scale robotic 3D printing trajectories and optimization of the quality of pieces
(Wydawnictwa AGH, 2023) Rosoux, François; Appeldoorn, Henri; Garray, Didier; Beeckman, Eric
Incremental sheet forming is used to form metal sheets on massive dies. However, the waste and time lost due to the machining of dies can be a problem for both companies and the environment. Additive manufacturing is thus a potential alternative to classical machining of dies, but these complex geometries could be challenging for classical layer-by-layer 3D printing techniques. This paper will present an innovative process based on a 3D printing technology using 3-axis systems and a pellet extruder combined with the generation of non-planar trajectories in order to achieve good surface quality. PLA-based parts were realised to evaluate surface quality and mechanical properties. With such a technique, the obtained 3D printed parts were closer to the expected CAD geometries and smoother top surfaces were obtained. These improvements have been made possible through the development of specific post-processors and printing strategies in order to replicate the behaviour of a 3D printer at a larger scale, which is a current challenge in robotic 3D printing.
Investigation of the suitability of a fused filament fabricated tool for incremental sheet metal forming
(Wydawnictwa AGH, 2023) Weise, Dieter; Langner, Christian; Pierer, Alexander; Kraeusel, Verena; Petru, Jana; Koziorek, Jiri; Prauzek, Michal
Incremental sheet forming (ISF) is a flexible manufacturing process for sheet metal parts in small to medium quantities. Successive movements of a stylus create the geometry of the sheet metal part. ISF can be performed with or without a counter tool. By using counter tools, the geometry deviation of the formed sheet metal part can be reduced. To achieve the broader application of ISF, counter tools must be cost-effective, fast, and individually producible, even for batch sizes of only one part. In addition to milling, which has been the main method used to date, additive manufacturing (AM) also makes it possible to meet these requirements for flexible counter tool production. To investigate the suitability of AM for the production of counter tools for the ISF and to learn more about the load on the counter tool, a cylindrical counter tool made of polylactic acid (PLA) was produced using the fused filament fabrication (FFF) process. This counter tool was used for the ISF of drawing steel. Based on the force measurement results, a first step towards suitability evaluation of 3D-printed counter tools for ISF was taken, and possibilities, as well as application limits for such counter tools were discussed.