Process Modelling and Simulation Analysis of CNC Oxy-Fuel Cutting Process on SA516 Grade 70 Carbon Steel
| Autor: | Ch. Siva Ramakrishna, B. Avinash Ben, K.S. Raghuram |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Materials science Process modeling Carbon steel Process (computing) Regression analysis 02 engineering and technology engineering.material 021001 nanoscience & nanotechnology 01 natural sciences Oxy-fuel Taguchi methods 0103 physical sciences engineering Orthogonal array Composite material 0210 nano-technology Oxygen pressure |
| Zdroj: | Materials Today: Proceedings. 5:7818-7827 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2017.11.461 |
| Popis: | In the present study the effect of cutting parameters on MRR are measured and are optimized. Experiments are performed using SA516 Grade 70 Carbon steel work material and are cut by CNC Oxy-Fuel cutting machine .Taguchi L 9 orthogonal array is used for designing the experiment. Cutting Speed, Stand-off-distance and oxygen pressure are the selected input parameters for Oxy-Fuel cutting and MRR is the output response parameter. For the present investigation the input variables values varies from the 450-500 mm/min for cutting speed, 4 - 8 mm for stand-off- distance and 3.5 – 5.5 kg/cm 2 for oxygen pressure. Regression equations are generated from the Minitab 17.The functional relationship & effect on different parameters were studied. ANOVA is applied to know which input parameter has most significant affect on the MRR. It was noticed that as increase in Oxygen pressure increases the MRR .The MRR with kerf the speed and Oxygen Pressure greatly influences the functional aspect and quality. The interactive graphs are presented in the analysis .The optimum combination for MRR is A3B3C3. The error of experimental results with regression equation are checked by comparing the predicted values with experimental values and found the results are in adequate |
| Databáze: | OpenAIRE |
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