Hossein Khanaki; Mahdi Azizmohammadi; Masoud Vakili; Saeed Khan Mohammadian
Volume 11, Issue 30 , October 2014, , Pages 153-179
Abstract
AbstractIn this paper, the critical parameters of a method of welding with shieldinggas arc welding (GMAW) are discussed; this method is an important processin creating high quality metal permanent connections in various industries,including the automobile industry to improve the quality of stemdiameter ...
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AbstractIn this paper, the critical parameters of a method of welding with shieldinggas arc welding (GMAW) are discussed; this method is an important processin creating high quality metal permanent connections in various industries,including the automobile industry to improve the quality of stemdiameter welding parameters. One of the most useful techniques for modelingand solving the problems is Response Surface Method. In this paper,considering five most important factors such as speed welder, torch anglewith the work piece, electrode diameter, wire speed, gas consumption ,andCO2 levels as input variables, can be controlled independently from thelevel of response, the relationship between the input variables and the responsevariables were determined using linear regression. Then optimumvalue for each factor was calculated using non-linear programming model to evaluate the results obtained along with the comparison of output of theSimulation Annealing Algorithm.In this study, both qualitative and quantitative variables are considered toevaluate and optimize all response variables regarding that these variablesare not the same, and then fuzzy set theory and LP metric are used to findanswers for multi-objective optimization methods.
Mehdi Yazdani; Mahshid Aioobi; Amin Ghoroori
Volume 8, Issue 21 , June 2011, , Pages 131-142
Abstract
Some real world problems include determining optimum values of lput variables in order to obtain the desired levels of output variable response surface variable). One of the applicable techniques which are set for modeling and solving such problems is Response Surface methodology (RSM). In this paper, ...
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Some real world problems include determining optimum values of lput variables in order to obtain the desired levels of output variable response surface variable). One of the applicable techniques which are set for modeling and solving such problems is Response Surface methodology (RSM). In this paper, the effect of three controllable lput factors: temperature, the density of sodium cyanide, and ampere n the determined response surface level i.e. the thickness of the electroplating cover of a hook screw is checked by Design Of experiments (DOE). After the execution of experiments and the ^cognition of effective factors, according to the application of response surface methodology, the relationship between the variables f effective input factors and the response surface variable is stermined with the help of nonlinear regression model. Then, the Optimum value of each variable in nonlinear model is obtained by goal pogromming method.
