Virialized halos of cold dark matter generically exhibit multi-stream structures accreted within an outermost radial caustic known as the splashback radius. By tracking particle trajectories that accrete onto in cosmological $N$-body simulations, we count their number apocenter passages ($p$), and use them to characterize structure particles. We find density profile for each stream, classified ...

Radial profiles of particle velocities were investigated in a 6.1m high methanol-to-olefins cold model experimental device using a TSI laser Doppler velocimeter. The effect of axial height on flow development was not obvious in fully developed region under the same operating condition. Superficial gas velocity and solid circulating rate had significant influence on particle velocity in the cent...

We present here a simple model of radiative gravitational collapse with radial heat flux which describes qualitatively the stages close to the formation of a superdense cold star. Starting with a static general solution for a cold star, the model can generate solutions for the earlier evolutionary stages. The temporal evolution of the model is specified by solving the junction conditions approp...

Among the many input parameters of a forging process (for a multi-stage process one can count more than 200 different inputs!) the following important inputs shall be mentioned: Forging Material characteristics (flow curve = f(temperature, strain, strain rate, micro-structure) Influence of heat coefficients Friction type and friction value as well as lubrication Heat transfer Ambient media and ...

Cold forging of automotive parts in high strength steel causes pressure on the die. The or heavy load reduces a die life and accuracy forged parts, so prediction more accurate helps us to design optimum dimensions process. In this report, precise frictional coefficient was measured by ring compression test predict cold upsetting steel. experimental results indicated μ about 0.19 within height r...

The Finite-Element-Analysis (FEA) is of major importance for the design and improvement of forging processes. In this field, FEA is traditionally used to predict die fill, residual stresses and forming forces. The intention of the work presented in this paper is the development of an advanced simulation model for the description of phase transformation processes in forging dies based on FEA. Th...

In the present investigation, an artificial neural network (ANN) model is developed to predict the isothermal hot forging behavior of AlCuMgPb aluminum alloy. The inputs of the ANN are deformation temperature, frictional factor, ram velocity and displacement whereas the forging force, barreling parameter and final shape are considered as the output variable. The developed feed-forward back-prop...