Experimental investigation on the effects of cooling system on surface quality in high speed milling of an aluminium alloy

Surface quality is often an important feature of industrial products, not only from the impact it has on the aesthetic aspect but also for the functional role of the parts. High quality surface increases corrosion resistance, assures a longer life cycle for the product and lowers the wear. For a mac...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2016-08, Vol.145 (2), p.22006-22015
Main Authors: Chirita, B, Tampu, N C, Brabie, G, Radu, M C
Format: Article
Language:English
Subjects:
Aesthetics
Aluminum base alloys
Analysis of variance
Cooling
Cooling effects
Cooling rate
Cooling systems
Corrosion products
Corrosion resistance
Cutting
Cutting parameters
Environmental impact
Face milling
High speed
High speed machining
Materials science
Risk
Surface properties
Variance analysis
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Summary:Surface quality is often an important feature of industrial products, not only from the impact it has on the aesthetic aspect but also for the functional role of the parts. High quality surface increases corrosion resistance, assures a longer life cycle for the product and lowers the wear. For a machined part, surface quality is influenced by a series of factors such as the material of the part, the process type, tool geometry, cutting parameters or the cooling system. The choice of the cooling system is especially important, taking into account that the proper conditions will not only assure a superior surface quality, but will also lower the costs and reduce the environmental impact and health risks. The present study aims to investigate the performance of the cooling system and the effect of the cutting parameters on the characteristics of the surfaces resulted from high speed face milling of some parts made of Al 7050-T7451 aluminium alloy. Dry cutting conditions and minimum quantity lubrication (MQL) where used. The results were analysed using analysis of variance (ANOVA).
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/145/2/022006