DETERMINING THE EFFECTIVE VARIABLE TO IMPROVE THE QUALITY OF WELDING WITH RESPONSE SURFACE METHODOLOGY AND COMPARING IT WITH SIMULATION ANNEALING ALGORITHM

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KHANAKI HOSSEIN; AZIZMOHAMMADI MAHDI; VAKILI MASOUD; KHAN MOHAMMADIAN SAEED

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Journal: JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES Year:2013 | Volume:11 | Issue:30 Page(s): 153-179

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Title

DETERMINING THE EFFECTIVE VARIABLE TO IMPROVE THE QUALITY OF WELDING WITH RESPONSE SURFACE METHODOLOGY AND COMPARING IT WITH SIMULATION ANNEALING ALGORITHM

Author(s)

KHANAKI HOSSEIN | AZIZMOHAMMADI MAHDI | VAKILI MASOUD | KHAN MOHAMMADIAN SAEED | Issue Writer Certificate

Keywords

DESIGN OF EXPERIMENTQ2

RESPONSE SURFACE METHODOLOGYQ2

WELDING CO2Q2

VEHICLE CHASSISQ2

METAQ2

HEURISTICSQ2

Abstract

In this paper, the critical parameters of a method of welding with shielding gas arc welding (GMAW) are discussed; this method is an important process in creating high quality METAl permanent connections in various industries, including the automobile industry to improve the quality of stem diameter welding parameters. One of the most useful techniques for modeling and solving the problems is Response Surface Method. In this paper, considering five most important factors such as speed welder, torch angle with the work piece, electrode diameter, wire speed, gas consumption, and CO2 levels as input variables, can be controlled independently from the level of response, the relationship between the input variables and the response variables were determined using linear regression. Then optimum value for each factor was calculated using non-linear programming model to evaluate the results obtained along with the comparison of output of the Simulation Annealing Algorithm. In this study, both qualitative and quantitative variables are considered to evaluate and optimize all response variables regarding that these variables are not the same, and then fuzzy set theory and LP metric are used to find answers for multi-objective optimization methods.

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APA: Copy

KHANAKI, HOSSEIN, AZIZMOHAMMADI, MAHDI, VAKILI, MASOUD, & KHAN MOHAMMADIAN, SAEED. (2013). DETERMINING THE EFFECTIVE VARIABLE TO IMPROVE THE QUALITY OF WELDING WITH RESPONSE SURFACE METHODOLOGY AND COMPARING IT WITH SIMULATION ANNEALING ALGORITHM. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 11(30), 153-179. SID. https://sid.ir/paper/213135/en

Vancouver: Copy

KHANAKI HOSSEIN, AZIZMOHAMMADI MAHDI, VAKILI MASOUD, KHAN MOHAMMADIAN SAEED. DETERMINING THE EFFECTIVE VARIABLE TO IMPROVE THE QUALITY OF WELDING WITH RESPONSE SURFACE METHODOLOGY AND COMPARING IT WITH SIMULATION ANNEALING ALGORITHM. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2013;11(30):153-179. Available from: https://sid.ir/paper/213135/en

IEEE: Copy

HOSSEIN KHANAKI, MAHDI AZIZMOHAMMADI, MASOUD VAKILI, and SAEED KHAN MOHAMMADIAN, “DETERMINING THE EFFECTIVE VARIABLE TO IMPROVE THE QUALITY OF WELDING WITH RESPONSE SURFACE METHODOLOGY AND COMPARING IT WITH SIMULATION ANNEALING ALGORITHM,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 11, no. 30, pp. 153–179, 2013, [Online]. Available: https://sid.ir/paper/213135/en

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