The thermal effect in adhesive wear and surface finish of Aluminum Alloy 319 (Al319) has the potential to cause problems with surface roughness, tool wear, and temperature due to a propensity to melt during the cutting process, which can result in the formation of built-up edges, work piece inaccuracy, surface damage due to oxidation, and rapid adhesive wear, reducing tool life. By selecting appropriate machining parameters of cutting speed, depth of cut, and feed rate, the aim of this research is to optimise nozzle coolant system in machining performance of aluminium alloy 319 to achieve a good surface roughness, lower temperature, and increased tool wear. The fundamental response surface method (RSM) was used on the CNC Lathe machine with 2 (two) axes movements, condition, and performed according to the variation orifice nozzle sizes used of nozzle from 1.0 mm to 5.0 mm with different machining parameters (cutting speed, feed rate, and depth of cut). The cutting process can be carried out at a high cutting speed while the temperature is regulated and minimised for the creation of a built-up edge by using such a variety of nozzle sizes. The creation of a built-up edge and heat will degrade the work piece's surface roughness. The expected result is that using the smallest nozzle size would decrease thermal effects and reduce temperature, resulting in less built-up edge (BUE) formation. As a result, improved surface roughness, reduced tool wear, and reduced temperature can be achieved. This is due to the fact that a coolant pointed generator can be focused at a single point, allowing heat from the chips to be dissipated. Compensation between the smallest nozzle size cutting fluid and the technique state in the machining phase may also be provided in order to achieve productivity, high quality products, reduce costs, and minimise environmental impact (waste coolant produced). Current research is also useful for reducing and increasing efficiency in the machining industry. As a result, the machining operator's expertise and abilities are less reliant.
Author (s) Details
Ts. DR. S. Zainal Ariffn
Faculty of Engineering Technology, University College TATI, 24000 Kemaman Terengganu, Malaysia.
A. M. Efendee
Faculty of Engineering Technology, University College TATI, 24000 Kemaman Terengganu, Malaysia.
Ts. Dr. M. Alias
Faculty of Engineering Technology, University College TATI, 24000 Kemaman Terengganu, Malaysia.
Dr. A. A. M. Redhwan
Faculty of Engineering Technology, University College TATI, 24000 Kemaman Terengganu, Malaysia.
Ts. Dr. M. N. Muhamed
Faculty of Engineering Technology, University College TATI, 24000 Kemaman Terengganu, Malaysia.
Prof. Ir. Dr. Ahmad Razlan Yusoff
Faculty of Manufacturing Engineering, University Malaysia Pahang, 26600 Gambang, Kuantan, Pahang, Malaysia.
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