2011
DOI: 10.1177/09544054jem2110
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Scrap wafer regeneration by precise abrasive jet machining with novel composite abrasive for design of experiments

Abstract: Great quantities of silicon wafers have been used in the semiconductor industry, resulting in a shortage of raw materials required for wafer production. Unfortunately, conventional wafer regeneration processes still have some issues of machining properties. In this study a precise abrasive jet machining (AJM) method with a novel composite abrasive is employed to reduce the surface roughness of recycled wafers. Experiments designed using the Taguchi method was conducted for removal of patterns from the wafer su… Show more

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Cited by 14 publications
(4 citation statements)
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“…Traditional recycling still has challenges to address. Ke et al 49 performed abrasive jet machining to remove the patterns from recycled wafers and improve the roughness. With optimized process conditions, the patterns could be eliminated in a relatively short time, resulting in smooth surfaces and minimized sub-surface damage.…”
Section: Surface Roughness Of Precision-machined Advanced Engineering Materialsmentioning
confidence: 99%
“…Traditional recycling still has challenges to address. Ke et al 49 performed abrasive jet machining to remove the patterns from recycled wafers and improve the roughness. With optimized process conditions, the patterns could be eliminated in a relatively short time, resulting in smooth surfaces and minimized sub-surface damage.…”
Section: Surface Roughness Of Precision-machined Advanced Engineering Materialsmentioning
confidence: 99%
“…In this regard, the study of novel abrasive particles has received a lot of attention. Ke et al [29] used a new type of composite abrasive with different diameters of SiC particles coated with PS polymer for the jet polishing of silicon wafers, shortening the post-processing time required for silicon wafer regeneration. Yang et al [30] used dry ice particles to carry out jet experiments with different parameters on the surface of stainless steel electrode, and the roughness of the samples decreased from 0.0708 µm to 0.0395 µm after polishing.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate prototype can be prepared using NTM processes when the work material is flexible enough for supporting the forces needed for cutting or grinding. Several computational as well as arithmetical approaches such as genetic algorithm (GA), 1,2 RSM, [3][4][5][6][7][8] particle swarm optimization (PSO), 9 artificial neural network (ANN), 11,12 technique for order of preference by similarity to ideal solution (TOPSIS), 13 Taguchi method [14][15][16] and principal component analysis (PCA) 17,18 have been implemented for parametric optimization in abrasive jet machining (AJM) process. K-60 alumina ceramic and quartz ceramic were used in newly developed FB-HAJM in order to determine the MRR and taper angle (TA) using stand-off-distance (SOD), air pressure and variable grain size of silicon carbide (SiC), as design parameters were chosen by Pradhan et al 19 CFD study was used in electrochemical slurry jet micro-machining 20 and abrasive slurry jet micro-machining (ASJM) 21,22 to predict particle impact conditions and measure the channel roughness due to various ductile erosion.…”
Section: Introductionmentioning
confidence: 99%