Szwajka, K.; Zielińska-Szwajka, J.; Trzepiecinski, T. Experimental Study on Drilling MDF with Tools Coated with TiAlN and ZrN. Materials2019, 12, 386.
Szwajka, K.; Zielińska-Szwajka, J.; Trzepiecinski, T. Experimental Study on Drilling MDF with Tools Coated with TiAlN and ZrN. Materials 2019, 12, 386.
Szwajka, K.; Zielińska-Szwajka, J.; Trzepiecinski, T. Experimental Study on Drilling MDF with Tools Coated with TiAlN and ZrN. Materials2019, 12, 386.
Szwajka, K.; Zielińska-Szwajka, J.; Trzepiecinski, T. Experimental Study on Drilling MDF with Tools Coated with TiAlN and ZrN. Materials 2019, 12, 386.
Abstract
There is increasing use of wood-based composites in industry not only because of the shortage of solid wood, but above all for their better properties such as: strength, aesthetic appearance, etc. compared to wood.Medium density fibreboard (MDF) is a wood-based composite that is widely used in the furniture industry.The goal of the research conducted was to determine the effect of the type of coating on the drill cutting blades on the value of thrust force (Ft), cutting torque (Mc), cutting tool temperature (T) and surface roughness of the hole in drilling MDF panels.In the tests three types of carbide drills (HW) were used: not coated, TiAlN coated and ZrN coated. The measurement of both the thrust force and the cutting torque was carried out using an industrial piezoelectric sensor.The temperature of the cutting tool in the drilling process was measured using an industrial temperature measurement system using a K-type thermocouple.It was found that the value of the maximum temperature of the tool in the drilling process depends not only on the cutting speed and feed rate, but also on the type of coating of the cutting tool.The value of both the cutting torque and the thrust force is significantly influenced by the value of the feed rate and the type of drill coating.The effect of varying plate density on the surface roughness of the hole and the variation of the value of the thrust force is also discussed. The results of the investigations were statistically analysed using a multi-factorial analysis of variance (ANOVA).
Engineering, Industrial and Manufacturing Engineering
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