2009
DOI: 10.1007/s11740-009-0177-x
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Optimization of surface roughness in an end-milling operation using nested experimental design

Abstract: This paper presents an experimental study to optimize the surface quality of an end-milled surface on a Vertical Machining Centre using Taguchi's nested experimental design. The effect of various machining parameters on surface roughness was investigated on two different work piece materials, Aluminium alloy and Plain Carbon Steel. Other control factors, namely, feed rate and spindle speed, depth of cut and radial engagement of tool were varied in the experiment to measure surface roughness at four different p… Show more

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Cited by 10 publications
(6 citation statements)
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References 14 publications
(13 reference statements)
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“…Zuperl et al [8], Tandon et al [14] 2002, Mounayri et al [20] Have predicted force using ANN and optimize MRR Prakasvudhisarn et al [45] Developed a surface roughness model using SVMs and optimized.…”
Section: Particle Swarm Optimizationmentioning
confidence: 99%
See 2 more Smart Citations
“…Zuperl et al [8], Tandon et al [14] 2002, Mounayri et al [20] Have predicted force using ANN and optimize MRR Prakasvudhisarn et al [45] Developed a surface roughness model using SVMs and optimized.…”
Section: Particle Swarm Optimizationmentioning
confidence: 99%
“…Mounayri et al [20] developed force model using ANN and extended the PSO technique to 3D and 3(1/2) D optimization with 36% reduction in machining time. Prakasvudhisarn et al [45] developed a machine learning support vector machines (SVMs) for estimation of surface roughness and optimized the machining parameters using PSO technique for minimum surface roughness. Tandon et al [14] minimized unit time by 35% by optimization of machining parameter using PSO technique.…”
Section: Particle Swarm Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Because of recent developments in milling technology, surfaces have become more accurate, which is mainly caused by the application of high speed cutting (HSC) milling processes [22]. That leads to the fact that milled surfaces are widely employed while assembling them with other parts [15].…”
Section: Generation Of Technology Bundlesmentioning
confidence: 99%
“…Furthermore, variations of the flank twist and the tip relief have been investigated [3]. Influences of surface roughness on the gear noise as shown in [4] and [5] have not been considered in the designing process. Focusing on two helical gear variants the results of the investigation will be presented.…”
Section: Gear Setsmentioning
confidence: 99%