inulin is widely used in functional foods throughout the world for its health-promoting and technological properties. helianthus tuberosus is cultivated widely in the northern part of iran. helianthus tuberosus can be a valuable source of inulin. to optimize conventional extraction of inulin, various combinations of time, temperature, and solvent: solid ratio, were used. in this research, a ser...

gelatin is a protein hydrocolloid. because of its unique characteristics such as gel forming, thickening, stabilizing, emulsifiing, foam and film forming, is widely used in food industries. in this research, in order to optimize the factors which affect enzymatic extraction method of gelatin ,the effects of three variables, enzyme concentrations(2-10 ppm), time(8-16 hours) and temperature(60-80...

Deleterious effect of high concentration fluoride in water resources on the healthof human. The MgO supported Fe-Co-Mn nanoparticles were produced via coprecipitationmethod and characterized by SEM and FTIR techniques. In the work,the adsorption process optimization was performed by response surface modelingwith the help of Minitab 16 software. The effect of independent ...

The 2nd order polynomial is commonly used for tting a response surface but the low order polynomial is not suf cient if the response surface is highly nonlinear. Based on genetic programming (GP), this paper presents a method with which high order smooth polynomials, which can model nonlinear response surfaces, can be built. Since, in many cases small samples are used to t the response surface,...

This paper reports on application of theory of experimental design using graphical techniques in R programming language and application of nonlinear bootstrap regression method to demonstrate the invariant property of parameter estimates of the Inverse polynomial Model IPM in a nonlinear surface.

Gaussian processes are used as emulators for expensive computer simulations. Recently, Gaussian processes have also been used to model the “error field” or “code discrepancy” between a computer simulation code and experimental data, and the delta term between two levels of computer simulation (multi-fidelity codes). This work presents the use of Gaussian process models to approximate error or d...

this paper presents the findings of experimental investigations into the effects of cutting speed, feed rate, depth of cut and approach angle on the machinability of titanium (grade-5) alloy. also the comparison for the two different cutting materials inserts polycrystalline diamond (pcd) and cubic boron nitride (cbn) with similar tool geometry for similar machining parameters is also carried o...

introduction: monte carlo (mc) is the most common method for simulating virtual spect projections. it is useful for optimizing procedures, evaluating correction algorithms and more recently image reconstruction as a forward projector in iterative algorithms; however, the main drawback of mc is its long run time. we introduced a model based method considering the effect of body attenuation and i...

this paper presents a hybrid method for the optimization of forging process of an aerofoil blade. preform shape and die parting-line angle are optimized in order to minimize the volume of the unfilled die cavity, material waste, forging forces. the overall optimization scheme used in this research work includes a multi-objective approach that is combination of response surface and finite elemen...