Temat: Ti particle - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Possibilities of Fabricating Mg-Al-RE Cast Magnesium Matrix Composites Reinforced with Ti Particles
Autorzy:: Przełożyńska, E.
Braszczyńska-Malik, K. N.
Powiązania:: https://bibliotekanauki.pl/articles/379632.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: magnesium matrix composite
Mg-Al-Mn alloy
rare earth elements (REE)
Ti particle
microstructure investigations
kompozyt magnezowy
stop Mg-Al-Mn
pierwiastki ziem rzadkich
cząstka Ti
badania mikrostruktury
Opis:: The results of microstructure investigations of an experimental magnesium matrix composite reinforced with Ti particles are presented. The experimental Mg-5Al-5RE magnesium alloy was used as the matrix alloy. The examined composite was reinforced with 30 wt% titanium spherical particles. The investigated material was obtained by the stir-casting method. The microstructure of the fabricated composite was characterized by a uniform arrangement of the Ti particles within the magnesium matrix. No new phases (created due to reaction between the matrix and Ti particles) were revealed by XRD techniques.
Źródło:: Archives of Foundry Engineering; 2015, 15, 3 spec.; 73-76
1897-3310
2299-2944
Pojawia się w:: Archives of Foundry Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Cutting force prediction of Ti6Al4V using a machine learning model of SPH orthogonal cutting process simulations
Autorzy:: Klippel, Hagen
Sanchez, Eduardo Gonzalez
Isabel, Margolis
Röthlin, Matthias
Afrasiabi, Mohamadreza
Michal, Kuffa
Wegener, Konrad
Powiązania:: https://bibliotekanauki.pl/articles/2052187.pdf
Data publikacji:: 2022
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machining
Ti6Al4V
machine learning
SPH
smoothed particle hydrodynamics
meshfree method
Opis:: The prediction of machining processes is a challenging task and usually requires a large experimental basis. These experiments are time-consuming and require manufacturing and testing of different tool geometries at various process conditions to find optimum machining settings. In this paper, a machine learning model of the orthogonal cutting process of Ti6Al4V is proposed to predict the cutting and feed forces for a wide range of process conditions with regards to rake angle, clearance angle, cutting edge radius, feed and cutting speed. The model uses training data generated by virtual experiments, which are conducted using physical based simulations of the orthogonal cutting process with the smoothed particle hydrodynamics (SPH). The ML training set is composed of input parameters, and output process forces from 2500 instances of GPU accelerated SPH simulations. The resulting model provides fast process force predictions and can consider the cutter geometry in comparison to classical analytical approaches.
Źródło:: Journal of Machine Engineering; 2022, 22, 1; 111-123
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Comparisons Between 2D and 3D MPFEM Simulations in Modeling Uniaxial High Velocity Compaction Behaviors of Ti-6Al-4V Powder
Autorzy:: Zhou, Jian
Xu, Hongkun
Zhu, Chenyu
Wang, Bin
Liu, Kun
Powiązania:: https://bibliotekanauki.pl/articles/2048874.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: multi-particle finite element method
Ti-6Al-4V
powder compaction
relative green density
impact energy per unit mass
Opis:: Multi-particle finite element method (MPFEM) simulation has been proven an efficient approach to study the densification behaviors during powder compaction. However, comprehensive comparisons between 2D and 3D MPFEM models should be made, in order to clarify which dimensional model produces more accurate prediction on the densification behaviors. In this paper, uniaxial high velocity compaction experiments using Ti-6Al-4V powder were performed under different impact energy per unit mass notated as Em. Both 2D and 3D MPFEM simulations on the powder compaction process were implemented under displacement control mode, in order to distinguish the differences. First, the experimental final green density of the compacts increased from 0.839 to 0.951 when Em was increased from 73.5 J/g to 171.5 J/g. Then detailed comparisons between two models were made with respect to the typical densification behaviors, such as the density-strain and density-pressure relations. It was revealed that densification of 2D MPFEM model could be relatively easier than 3D model for our case. Finally, validated by the experimental results, 3D MPFEM model generated more realistic predictions than 2D model, in terms of the final green density’s dependence on both the true strain and Em. The reasons were briefly explained by the discrepancies in both the particles’ degrees of freedom and the initial packing density.
Źródło:: Archives of Metallurgy and Materials; 2022, 67, 1; 57-65
1733-3490
Pojawia się w:: Archives of Metallurgy and Materials
Dostawca treści:: Biblioteka Nauki

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