Abstract
In recent days, micro-machining plays increasingly important roles since there is a growing demand for a miniaturisation of industrial products. This paper focuses on the Taguchi optimisation methodology, which is applied to optimise cutting parameters in micro-end milling operation when machining aluminium block with carbide end mill cutter. In this work, an orthogonal array, signal to noise ratio and Pareto analysis of variance are employed to analyse the effect of the micro end milling parameters such as spindle speed, feed rate and depth of cut. The Taguchi technique for the design of experiment and the interaction of micro end milling parameters are investigated. From the experimental result and analysis shows that high cutting speed, low feed rate and low depth of cut such combination of optimised parameters gives low value of surface roughness. Also, from the analysis it shows that Taguchi technique is suitable to solve the above problem.
Original language | English |
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Pages (from-to) | 410-425 |
Number of pages | 16 |
Journal | International Journal of Productivity and Quality Management |
Volume | 12 |
Issue number | 4 |
DOIs | |
State | Published - 2013 |
Keywords
- Micro-end milling
- Optimisation
- Pareto ANOVA
- Surface roughness
- Taguchi method of DOE