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Queijo, Luis
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- 2021The influence of manufacturing factors in the short-fiber non-woven chestnut hedgehog spine-reinforced polyester composite performancecitations
- 2017Milling parameters optimization for surface quality
- 2017Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi methodcitations
- 2016Mechanical characterisation of cytisus scoparius natural fibres – a preliminary
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Optimization of cutting parameters to minimize the surface roughness in the end milling process using the Taguchi method
Abstract
This paper presents a study of the Taguchi design application to optimize surface quality in a CNC end milling operation. The present study includes feed per tooth, cutting speed and radial depth of cut as control factors. An orthogonal array of L9 was used and the ANOVA analyses were carried out to identify the significant factors affecting the surface roughness. The optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio. The study was carried-out by machining a hardened steel block (steel 1.2738) with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.662 μm, being the radial depth of cut the most infuent parameter, with 64% of contribution for the workpiece surface fnishing.