Document Type : Research Paper
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Abstract
Some problems of real world, must be determine and analyze input variable's effect on response variable. One of the applicable techniques which are used for modeling and solving such problems is response surface methodology (RSM). In this paper the effect of five controllable input factors: raw materials, electromotor speed, stove temperature, furnace temperature and air pressure on the determined response surface level i.e. the resistance of glass bottle is checked by design of experiment (DOE). After the execution of experiments and the recognition of effective factors, according to the application of RSM, the relationship between variables of effective input factors and the response surface variable is determined by nonlinear regression model. Then, the optimal value of each variable in nonlinear model is obtained by goal programming method.
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