Abstract
Aluminum metal matrix composites are widely used in various engineering areas due to their excellent mechanical properties. However, due to their heterogeneous structure, efficient machining of these materials is still a challenging task. Therefore, in the present study the drilling performance of aluminium-copper alloy (Al 2024) reinforced with SiC nanoparticles was experimentally investigated, in the presence of ultrasonic vibration.In this regard, the influence of ultrasonic vibration, SiC weight fraction and drilling parameters was assessed on circularity error and drilling thrust force. Also, the optimization of process parameters was investigated using grey relational analysis. The performed calculations revealed that ultrasonic vibration, SiC content of 2 %wt, feed rate of 20 mm/min and spindle speed of 1400 rpm is the optimal parameters setting in the present study.
Highlights
Metal matrix composites (MMCs) are advanced materials extensively used in different engineering areas such as automotive, aerospace and defense industries
The influence of ultrasonic vibration, SiC content and drilling parameters on thrust force is discussed by detail
First, the metal matrix composite specimens were fabricated through the accumulative channel compressed bonding technique; and the drilling tests were carried out, with and without ultrasonic vibration
Summary
Metal matrix composites (MMCs) are advanced materials extensively used in different engineering areas such as automotive, aerospace and defense industries. Liu et al [14] compared the performance of various drilling methods such as CD, UAD, high-speed drilling and grinding drilling in drilling of composite laminates They studied the influence of drilling parameters and drill geometry on tool life, thrust force and drilling induced delamination. Comparison of the obtained results of this drilling technique with those of CD revealed that surface roughness and cutting force were reduced, delamination at hole-exits was suppressed, and tool life and material removal rate were improved considerably. Baraheni et al [20] performed parametric study for delamination analysis of glass fiber reinforced polymer composites during RUM process They investigated the effect of drilling parameters, thermal fatigue conditions and addition of multi-walled carbon nanotubes on drilling induced delamination. The multi-objective optimization problem was converted to single-objective problem, and based on the grey relational grade values, the optimal parameters setting was achieved
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