2018
DOI: 10.1007/s00170-018-2330-1
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Parametric study on influence function in magnetorheological finishing of single crystal silicon

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Cited by 23 publications
(12 citation statements)
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“…Accurate magnetic field-assisted finishing models that take into account MRR and surface quality constraints are sought for. Many models for MAF and MRF recently reported have aimed to fill this gap and to better understand the way input parameters affect MRR and roughness [ 66 , 76 , 90 92 ].…”
Section: Trends For Future Research On Magnetic Field-assisted Finishingmentioning
confidence: 99%
“…Accurate magnetic field-assisted finishing models that take into account MRR and surface quality constraints are sought for. Many models for MAF and MRF recently reported have aimed to fill this gap and to better understand the way input parameters affect MRR and roughness [ 66 , 76 , 90 92 ].…”
Section: Trends For Future Research On Magnetic Field-assisted Finishingmentioning
confidence: 99%
“…Liu et al [7] established a tool influence function for aspheric workpieces based on the Reynolds Equation to reveal the effect of gap thickness variation on the material removal rate. Ghosh et al [8] experimentally analyzed the effect of the cross-feeding method of a wheel-type MRP machine on surface roughness, established the evaluation function of working gap thickness and wheel speed on the processing results, and provided a new basis for the processing parameters optimization. Ren et al [9] proposed a Belt-MRF concept to expand the application of MRF to large mirrors and made a prototype with a large remove function, using a belt instead of a very large polishing wheel to expand the polishing length.…”
Section: Introductionmentioning
confidence: 99%
“…Song et al (2018) developed a new magnetorheological polishing device with roller, and the optimized polishing parameters were obtained by some tests. Ghosh et al (2018) designed a horizontal wheel type MRP device, and the effect of the selected parameter setting on the surface topography was studied. Pan et al (2017) developed the MRP device with dynamic magnetic fields and evaluated machining in different processing parameters.…”
Section: Introductionmentioning
confidence: 99%