2015
DOI: 10.1016/j.jmapro.2014.08.006
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Erosion modeling in abrasive slurry jet micro-machining of brittle materials

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Cited by 60 publications
(7 citation statements)
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“…It could be concluded that the shear stress direction was the same as the flow direction, which caused the height increasing at the same direction as the flow. It agreed well with that obtained by Jafar et al (2015).…”
Section: Particle-wall Impact Regionsupporting
confidence: 92%
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“…It could be concluded that the shear stress direction was the same as the flow direction, which caused the height increasing at the same direction as the flow. It agreed well with that obtained by Jafar et al (2015).…”
Section: Particle-wall Impact Regionsupporting
confidence: 92%
“…In this work, three wear regions were found (as shown in Fig. 6a), which was similar with above work (Gnanavelu 2010) and the (13 (Jafar et al 2015). However, unlike 90° impinging jet (Gnanavelu 2010), present work of 30° impinging jet had three unsymmetric wear regions that could nominated as stagnation region (zone 1), cutting transition region (zone 2) and wall jet region (zone 3).…”
Section: Particle-wall Impact Regionsupporting
confidence: 84%
“…Plenty of these components are made of hard-brittle materials which are not suitable for traditional mechanical machining such as milling and grinding. Fluid jet carrying hard abrasives has been utilized for processing ceramics, quartz and silicon wafers owing to its low thermal effect and high flexibility [1,2]. Chen et al [3] utilized low-pressure abrasive flow in microgroove machining and numerically modeled the trajectory and erosion action of particles.…”
Section: Introductionmentioning
confidence: 99%
“…The parameters (i.e., standoff distance, dwell time and pressure) were examined with three nozzles of different sizes that affect target material damage during piercing operations in borosilicate glass using AWJM process [33]. Haj Mohammad Jafar et al [34] have proposed erosion models for the brittle material during machining using abrasive slurry jet process. Gupta et al [35] have applied ANN to predict the geometrical characteristics, i.e., Ra, width of cut, depth of cut and taper during machining using AWJM process.…”
Section: Introductionmentioning
confidence: 99%