An attempt has been made to develop and study the properties and behavior of structure-based aluminum composite. Aluminum (AA6063)-based composites were fabricated by stir casting technique (also known as liquid metallurgy route) by varying weight percentage of metallic-based copper nitrate Cu (NO3)2 with fixed proposition of ceramic-based silicon nitride (Si3N4) reinforcement. The mechanical and corrosion properties and tribological behavior of composite were studied. Further, the sample microstructure and characterizations were investigated by scanning electron microscope (SEM) and X-ray diffraction (XRD) technique. The composite with fixed weight proportion of ceramic and higher metallic reinforced samples shows higher tensile strength, improved corrosion resistance, and higher hardness behavior. Due to higher hardness nature, the tribological properties of composite such as wear rate and coefficient of friction have been reduced. Moreover, the impact strength of composite decreased due to combination of ceramic and metallic reinforcement. In addition to the above study, design of experiment (DOE) was adopted to optimize the major wear test parameters such as percentage of reinforcement, applied load, sliding distance, and sliding speed. Finally, analysis of variance (ANOVA) was carried out to identify the most significant test parameter and its interaction affecting wear behavior and its coefficient of friction of composite sample.
Plasma Sprayed coatings provide protection against corrosion, erosion and wear. Inconel-718 is a metallic coating which has good wear and erosion resistance. This is plasma sprayed on to Al6061 substrate and then subjected to slurry erosive wear tests. It is observed that the slurry wear rates of Al6061 decreased on coating the substrate material with Inconel-718.
This research paper represents the parametric optimization of Wire Electrical Discharge Machining (WEDM) on machining die steel DC53. For problem formulation of this research work, literature survey has been carried out. The objective of the present work was to investigate the effects of the various WEDM process parameters using Taguchi and Grey Relation Analysis (GRA) on the machining quality and to obtain the optimal sets of process parameters so that the quality of machined parts can be optimized
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