2009
DOI: 10.1016/s1003-6326(10)60279-8
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Uniform surface polished method of complex holes in abrasive flow machining

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Cited by 41 publications
(25 citation statements)
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“…The results indicated that surface roughness of the cylindrical passageway notably decreased to 0.28 μm Ra from an initial value of 1.8 μm Ra after 5 working cycles [6]. Based on experimental study, it was observed that abrasive mesh size and percentage of abrasive concentration in media are the most significant parameters for material removal and improvement in surface roughness.…”
Section: Introductionmentioning
confidence: 93%
“…The results indicated that surface roughness of the cylindrical passageway notably decreased to 0.28 μm Ra from an initial value of 1.8 μm Ra after 5 working cycles [6]. Based on experimental study, it was observed that abrasive mesh size and percentage of abrasive concentration in media are the most significant parameters for material removal and improvement in surface roughness.…”
Section: Introductionmentioning
confidence: 93%
“…It also revealed that the fluidity and stickiness nature of the self-modulating abrasive medium could be automatically adjusted, and used to finish tiny micro channels. Wang et al [65] carried out experiments and removed recast layer of a complex hole by AFM process. Jain et al [66] applied Finite Element Method (FEM) to study AFF of complex geometry.…”
Section: Non-magnetic/polymer Based Finishingmentioning
confidence: 99%
“…Uhlmann et al 82 developed a process model using modern simulation techniques by determining the basic principles of AFM on ceramic materials and created relationship between flow processes, surface development, and edge rounding. Wang et al 83 described that at a constant pressure, the velocities, strain rates, and shear forces of the AFM media acting on the finishing profile can be evaluated. In analyzing the influence of AFM process variables on MRR and surface finish quality, Jain et al 84 used artificial neural network (ANN) and multivariable regression analysis (MVRA) technique in AFM process.…”
Section: Aff Modeling and Optimizationmentioning
confidence: 99%