Optimization of machining parameters by Taguchi approach for machining of aluminium based metal matrix composite by abrasive water jet machining process
| Autor: | Amit Kumar, M. Shunmugasundaram, M. Yadi Reddy, K. Rajanikanth |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Materials science Machinability Abrasive Metallurgy Metal matrix composite chemistry.chemical_element 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Taguchi methods chemistry.chemical_compound Machining chemistry Aluminium 0103 physical sciences Surface roughness Silicon carbide 0210 nano-technology |
| Zdroj: | Materials Today: Proceedings. 47:5928-5933 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2021.04.479 |
| Popis: | Aluminium based metal matrix composite plays a vital role in reducing weight and increase the efficiency of the products or parts. In this research, aluminium, nickel and magnesium are alloys for matrix silicon carbide and barium nitrate are reinforcement for developing the aluminium based metal matrix composites using the process of stir casting. The machinability of prepared composite is checked by abrasive water jet machining (AWJM) process. The three different input parameters are selected and that are water pressure, abrasive flow rate and traverse speed. Three levels for water pressure are 1800, 2400, 3000 bar, 150, 200,250 gm/min are abrasive flow rate and 50, 100, 150 mm/min are traverse speed. Taguchi technique is employed to choose the combination of machining parameters and examine the effect of machining parameters on material removal rate (MRR) and surface roughness (SR). The result shows that The ANOVA analysis on removal rate of material is confirms that selected machining parameters combine effect and the provide regression equation provides 96% of prediction for predicting the removal rate of material by considering the selected machining parameters. The traverse speed is more influential parameter on MRR and water pressure is most influential parameter on SR. |
| Databáze: | OpenAIRE |
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