توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Time–Dependent Hardness of Epoxy\TiO2 Nano Composites
نویسنده(ها): ، ، ،
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۵
Nano composites using thermosetting polymers have not been studied so extensively, particularly using TiO2 particles as reinforcing agent. The objective of this research work, was to fabricate epoxy–based nano composites containing various amounts of TiO2 nano particles and thus see the effect of reinforcement loading on hardness. The experimental data indicated that, hardness of the composites increased nonlinearly with increasing the concentration of nano TiO2 particles and also with respect to the neat resin system. Hardness data also indicated that the time–dependent hardness of the composites was not affected by the filler content.<\div>

۲Modeling of Weld Penetration in Gas Metal Arc Welding Process by Fractional Factorial Technique
نویسنده(ها): ،
اطلاعات انتشار: دومین کنفرانس بین المللی و هشتمین کنفرانس ملی مهندسی ساخت و تولید، سال
تعداد صفحات: ۱۲
In gas metal arc welding (GMAW) process, selecting appropriate values for process parameters is essential in order to control heat input into the workpiece from which reliable predictions can be made about the metallurgical and the mechanical properties of welded joints and at the same time to get the required bead size and quality. Also,conditions must be selected that will ensure a predictable and reproducible weld penetration, which is critical for obtaining high quality welds.In this paper, the effect of various welding parameters on weld penetration in aluminum alloy 5083 plate by mechanized gas metal arc welding process was investigated. The wire feed speed, welding voltage, nozzle–to–plate distance, and welding speed were chosen as welding parameters. The weld penetrations were measured for each specimen after the welding operations and the effects of these parameters on penetration were investigated.<\div>

۳Optimization of Dilution in the Gas Metal Arc Welding Process Using Genetic Algorithm.
نویسنده(ها): ، ،
اطلاعات انتشار: دوازدهمین کنفرانس ملی مهندسی ساخت و تولید ایران، سال
تعداد صفحات: ۶
The gas metal arc welding process is increasingly employed for fabrication in many industries .This process is versatile since it can be applied for all welding positions and moreover can be easily integrated into the robotized production centers. Weld dilution as one of the dimensions of weld quality in this process is basically affected by the input welding parameters. In this paper the effect of input welding parameters such as wire feed rate (W), arc voltage (V), nozzle–to–plate distance (N), welding speed (S) and gas flow rate (G) on dilution is investigated .Based on the Taguchi design of experiments (L25) twenty five bead–on–plate welds on 6.0 mm thick ST–37 plates were deposited. Using a genetic algorithm the weld dilution in the gas metal arc welding process was optimized and moreover optimized levels for different input welding parameters were specified. Finally a welding run was performed in order to confirm the results from the genetic algorithm technique.<\div>
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