Sentence examples for major process variables from inspiring English sources

Empirical design equations were developed for both systems to quantify the systems' performance as a function of major process variables.

Then, base case steady-state profiles were obtained for major process variables in the reactor riser and regenerator of an industrial scale FCC unit.

Box Wilson experimental design was employed to evaluate the effects of major process variables, dyestuff and adsorbent concentrations, and sludge retention time on decolorization efficiency.

The Box Wilson experimental design method was employed to evaluate the effects of major process variables (e.g. pH, oxidant dose, and irradiation time) on the decolorization efficiency.

The effects of major process variables such as feed wastewater flow rate, COD concentration and loading rate on COD removal performances of both reactors were evaluated.

The Box Wilson experimental design was employed to evaluate the effects of major process variables, dyestuff and hydrogen peroxide concentrations and irradiation time on decolorization efficiency.

A method combining a Plackett-Burman design (PBD), the steepest ascent method, and a Box-Behnken design (BBD) was used to evaluate the effects of major treatment process variables, including the soaking solid-liquid ratio, NaOH concentration, soaking temperature, soaking time, stirring rate, ultrasonic power, milling solid-liquid ratio, milling time and milling rate, on the starch isolation.

Factorial Design and Response Surface Methodology were introduced as a tool to evaluate the main effects (process variables with major impact on its behavior) as well as to map suitable regions for successfully applying the SQP method to optimize the process.

The studies have indicated that both main and interaction effects of the process variables play a major role in determining the bead dimensions and dilution, and the effect of interaction between the process variables cannot be neglected.

Biocatalytic oxidation processes have to date presented major problems for scale-up, in part due to the complexity of the number of process variables.

One of the major important tasks in the robotic CO2 arc welding process is to understand interrelationship between process variables and bead penetration and subsequently develop the mathematical models to predict the desired bead penetration.