Abstract This thesis aims to study about the use of computer software to analyze the problem of conjugate heat transfer by using computer software. Simulation software for use in the conduct of the work. Or test results from the design of the test in order to reduce costs, and shorten the time to perform simulated annealing steel. (Normalizing) the oven of the Department of Industrial Engineering. Faculty of Engineering University A prototype model in analysis with software that requires a long time to bake, so the temperature is 573-973 K, which is used to make steel AISI1040 a phase shift Ferrite + Cementie order to enhance the performance of the steel. increased toughness The boundary conditions that must be entered in the software. Heat oven made of brick. The coefficient of thermal conductivity (k) = 1, the specific heat capacity (C) is 960 and the material density (ρ) equals 2,645 a heating coil as heat coefficient of thermal conductivity (k. ) = 15 for the Specific heat capacity (C) is 480 and the material density (ρ) equals 8,300 steel used in baking as steel AISI 1040 coefficient of thermal conductivity (k) is equal to 50.7 the capacity. Specific heat capacity (C) is 486 and the material density (ρ) is 7,845, then the simulation model oven entered into the analysis software simulation of heat transfer occurs in a tendency to see the temperature inside the furnace. And temperature iron temperature as required to take much of a problem analysis with the software have time to bake 65 minutes, enough to keep the temperature inside the furnace was 967 K rod to bake. a temperature of 903 K, which is in the desired temperature. After the results of the software to test the result is a fact that the software or not. Results from testing real steel oven for 65 minutes, compared with the results from the prediction of software in the same way. At various temperatures are similar. And after 65 minutes of baking time, actual temperature. Average in the furnace is a 957.667 K by the result of a temperature in the furnace at the end of the 65 minutes, with a value of 967 K as a percentage error of the temperature inside the furnace of trials a real compared with the results of the software is at. only 0.965%, indicating that the prediction of software is accurate and reliable.
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