2014
DOI: 10.1080/02533839.2014.953240
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Numerical optimization of hole making in GFRP composite using abrasive water jet machining process

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Cited by 56 publications
(26 citation statements)
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“…Despite the small amount of articles studying the drilling process by AWJ technology [9,10] and the machining of hybrid titanium/graphite composite laminates [11], it is possible to find several references which have done the characterization of Ti6Al4V and CFRP materials separately [12][13][14][15][16][17][18][19]. Escobar-Palafox et al [9] and Hussein Mohammed Ali Ibraheem et al [10] developed mathematical models for predicting the quality of the hole as a function of process parameters based on statistical analysis.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite the small amount of articles studying the drilling process by AWJ technology [9,10] and the machining of hybrid titanium/graphite composite laminates [11], it is possible to find several references which have done the characterization of Ti6Al4V and CFRP materials separately [12][13][14][15][16][17][18][19]. Escobar-Palafox et al [9] and Hussein Mohammed Ali Ibraheem et al [10] developed mathematical models for predicting the quality of the hole as a function of process parameters based on statistical analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Escobar-Palafox et al [9] and Hussein Mohammed Ali Ibraheem et al [10] developed mathematical models for predicting the quality of the hole as a function of process parameters based on statistical analysis. Pahuja et al [11] studied the machining of hybrid titanium/graphite composite laminates by AWJ and found that surface roughness is higher for small arc tool paths than for large arcs or straight cuts.…”
Section: Introductionmentioning
confidence: 99%
“…Ibraheem, H. M. A. et al [109] deals with identifying the effect of operation parameters while making a hole in glass fiber-reinforced plastic (GFRP) ceramic material. The design of experiments (DoE) was used as a statistical approach to this research.…”
Section: Mathematical Modeling Approachmentioning
confidence: 99%
“…The outcomes concluded that the transverse speed is an influential factor along with water pressure, abrasive flow rate and tilt angle. AWJ process was optimised using DOE with statistical approach (Ibraheem et al, 2015). The results showed that the suitable set of process parameters were responsible for the enhanced quality of finishing, dimension accuracy, and for higher productivity.…”
Section: Introductionmentioning
confidence: 99%