In this research the stress-strain curve of porous Titanium, as a common material for biomedical application, was predicted using the mechanical properties of fully solid Titanium experimental data. Modified Gurson model (Gurson-Tvergaard-Needleman (GTN) model) was used to predict the plastic response of porous Titanium in compaction. Different values of GTN parameters were used for different i...

Physical conditions in the atmospheres of tidally locked, slowly rotating hot Jupiters correspond to dynamical circulation regimes with Rhines scales and Rossby deformation radii comparable to the planetary radii. Consequently, the large spatial scales of moving atmospheric structures could generate significant photospheric variability. Here, we estimate the level of thermal infrared variabilit...

Steel 2205 is one of the most famous duplex stainless steels. The microstructure of this steel composed of ferrite and austenite in similar amount. Therefore, in order to improve mechanical properties through microstructure, thermo mechanical processes such as controlled hot rolling and forging should be applied. It is not possible to employ the usual heat treatment. It shows the importance of ...

This paper presents a new method for modeling fluids and solids for the purposes of computer graphics and animation. The model, based on molecular and Newtonian dynamics, describes the changes in geometry and movement of elemental volumes as a consequence of thermal energy and external forces . At "hot" temperatures objects exhibit fluid-like behavior with rapidly varying geometry. At "cold" te...

fiber metal laminates (fmls) are new composite materials consisting of thin metal layers and high strength composite layers. arall (aramid aluminum laminate) is a family of the fml that consists of thin aluminum sheets along with kevlar/epoxy composite layers. this material has many advantages such as light weight, excellent corrosion, fatigue and impact resistance. since, arall is a new materi...

This paper defines 5 key dimensions of student models: whether and how they model time, skill, noise, latent traits, and multiple influences on student performance. We use this framework to characterize and compare previous student models, analyze their relative accuracy, and propose novel models suggested by gaps in the multi-dimensional space. To illustrate the generative power of this framew...