Based on the study of the flow model of plastics melt, Power-law Model and Cross Model were used to study the plastics melt Theological data and the regression coefficient was obtained, discussion on the results was also made.
Steady-state viscosity and dynamic viscoelasticity were measured by using a DSR-200 rheometer with parallel plate geometry. Non-linear fitting with the modified cross model was conducted successfully.
Using non-Newtonian fluid power-law model and cross model, the regression analysis and curve fitting were done for the rheological data of W-Ni-Fe heavy alloy powder feedstock melt from experiment. The regression coefficients were obtained and the results was analyzed. Practical data were provided for the numerical simulation software of metal injection molding(MIM).
The flow of polysaccharide solution has been described by equation of state based on Cross model. The zero shear rate viscosityη 0, ∞ shear rate viscosity η ∞ and elasticity extension time have been obtained by Cross equation.
The viscosity characteristic of polychloroethylene was expessed by CROSS model. Three-dimensional isothermal flow fields of a cross fluid in the metering section of injection molder with different screw heads during plasticization process were simulated by using POLYFLOW software. The velocity fields,pressure fields,viscosity fields and shear stress fields in the yz ang xy section at different time were analyzed in details respectively.
The solgels prossessed thixotropy property and yield stress which increased with the increase of gum concentration. Higher shearthinning degree and larger area of these thixotropy coops were found in more concentrated gellan gum solgel ( from 0.01% to 0.04% ).
This paper adopted POLYFLOW soft ware, used three dimension non constant temperature,Cross mold, simulated the flow and blended process values of high polymer melt in the twin screw ex-truder at the different guiding screw thread component, by indicated tracing particle manner to studythe varied color particle flown line、flow trace and settle time、shearing rate、shearing stress andthe tensile speed distribution.
Non-Newtonian and non-isothermal flow simulations based on 3D FEM were applied to the turbine mixing element(TME) and the screw mixing element(SME) with POLYFLOW. Additionally, marked particle tracking analysis was carried out to evaluate the distributive and dispersive mixing judging from residence time distribution,shear rate distribution,stretching rate distribution and distributive performance of material points.
As flow curves were successfully fitted to the Cross model, the vane tool can be considered to be a suitable method for measuring the flow properties of food systems with large solid particles.
The working fluid was an aqueous solution of 0.1% xanthan gum and 0.1% carboxymethylcellulose for which the flow curve is well represented by the Cross model.
The simple Cross model is shown to be a useful empiricism for many non-Newtonian fluids, including those which have hitherto been thought to possess a yield stress.
Based on the study of the flow model of plastics melt, Power-law Model and Cross Model were used to study the plastics melt Theological data and the regression coefficient was obtained, discussion on the results was also made. Theoretical basis for plastics mold design and plastics mold CAD and CAE technology were provided in this paper.
The rheological behavior was studied for blends of metallocene catalyzed ethylene/1-butene copolymer(mPE) and low density polyethylene(LDPE). Steady-state viscosity and dynamic viscoelasticity were measured by using a DSR-200 rheometer with parallel plate geometry. Non-linear fitting with the modified cross model was conducted successfully. Due to lower molecular weight and narrower molecular weight distribution(M_w/M_n=2 1),mPE has a lower sensitivity to shear, shown by a lower zero shear viscosity,...
Using non-Newtonian fluid power-law model and cross model, the regression analysis and curve fitting were done for the rheological data of W-Ni-Fe heavy alloy powder feedstock melt from experiment. The regression coefficients were obtained and the results was analyzed. Practical data were provided for the numerical simulation software of metal injection molding(MIM).