Results 51 to 60 of about 443,352 (208)
The circumgalactic medium of massive galaxies at z~3: a test for stellar feedback, galactic outflows, and cold streams [PDF]
, 2013 We present new results on the kinematics, thermal and ionization state, and spatial distribution of metal-enriched gas in the circumgalactic medium (CGM) of massive galaxies at redshift 3, using the "Eris" suite of cosmological "zoom-in" simulations. The
Adelberger +28 more
core +1 more source
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN [PDF]
arXiv, 2021 In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing graph layouts. However, it remains a challenging task since different layout methods tend to highlight different characteristics of the graphs. Recently, studies on deep learning based graph drawing algorithm have emerged but they are often not ...
arxiv
2017 8th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2017 Warm sheet hydroforming process has being investigated in recent years with its high formability feature. Warm hydromechanical deep drawing (WHDD) which is a type of the warm sheet hydroforming process is important for deeper parts. To determine the formability of the WHDD process the most convenient tool is Limiting Drawing Ratio (LDR).
Turkoz, Mevlut +3 more
openaire +3 more sources
Aluminium sheet forming simulations: influence of the yield surface [PDF]
, 2002 The accuracy of simulations of the plastic deformation of sheet metal depend to a large extend on\ud the description of the yield surface, the hardening and the friction.
Bolt, P.J. +3 more
core +1 more source
Failure and formability studies in warm deep drawing of Ti–6Al–4V alloy
Materials & Design, 2014 Abstract Deep drawing experiments have been performed in order to study formability of Ti–6Al–4V alloy sheet at temperature ranging from room temperature to 400 °C. It is found that below 150 °C, formability of the material is very poor and above 150 °C till 400 °C, limiting drawing ratio (LDR) is found to be 1.8 which is substantially lesser than ...
Swadesh Kumar Singh +4 more
openaire +2 more sources
TRIP型複合組織鋼板の深絞り性に及ぼす温間加工の影響 : 第1報:コニカルカップ試験 [PDF]
, 1997 applicationTo gimprove the deep drawing of a high-strength TRIP-aided dual-phase (TDP) steel sheet, the effects of warm forming on the deep drawability were investigated.
760, 761, 和田, 一秀, 長坂, 明彦
core
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting [PDF]
arXiv, 2023 Deep learning-based RF fingerprinting offers great potential for improving the security robustness of various emerging wireless networks. Although much progress has been done in enhancing fingerprinting methods, the impact of device hardware stabilization and warm-up time on the achievable fingerprinting performances has not received adequate attention.
arxiv
Advanced sheet metal forming [PDF]
, 2003 Weight reduction of vehicles can be achieved by using high strength steels or aluminum. The formability of aluminum can be improved by applying the forming process at elevated temperatures.
Boogaard, A.H. van den +2 more
core +1 more source
Thermo-mechanical finite element analysis of the AA5086 alloy under warm forming conditions [PDF]
arXiv, 2017 Warm forming processes have been successfully applied at laboratory level to overcome some important drawbacks of the Al-Mg alloys, such as poor formability and large springback. However, the numerical simulation of these processes requires the adoption of coupled thermo-mechanical finite element analysis, using temperature-dependent material models ...
arxiv
A material model for warm forming of aluminium sheet [PDF]
, 2003 A material model has been developed to simulate the warm forming of Al–Mg\ud sheet. Both the hardening behaviour, including temperature and strain rate effects, and the\ud biaxial stress–strain response of the sheet are considered.
Bolt, P.J., Boogaard, A.H. van den
core +2 more sources