Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material
dc.authorid | KARATAS, MELTEM ALTIN/0000-0002-1628-1316 | |
dc.authorid | BIBERCI, MEHMET ALI/0000-0002-0328-9538 | |
dc.authorwosid | KARATAS, MELTEM ALTIN/ABH-8423-2020 | |
dc.contributor.author | Altın Karataş, Meltem | |
dc.contributor.author | Gökkaya, Hasan | |
dc.contributor.author | Akıncıoğlu, Sıtkı | |
dc.contributor.author | Biberci, Mehmet Ali | |
dc.date.accessioned | 2023-07-26T11:54:11Z | |
dc.date.available | 2023-07-26T11:54:11Z | |
dc.date.issued | 2022 | |
dc.department | DÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.description.abstract | Purpose The purpose of this study is to optimize processing parameters to get the smallest average surface roughness (Ra) and delamination damage (F-d) values during drilling via abrasive water jet (AWJ) of the glass fiber-reinforced polymer composite material produced at [0 degrees/90 degrees](s) fiber orientation angles. Design/methodology/approach Drilling experiments were done via AWJ with three-axis computer numerical control (CNC) control system. Machine processing parameters such as water pressure of 3,600, 4,300, 4,800 and 5,300 bar; stand-off distance of 1, 2, 3 and 4 mm; traverse rate of 750, 1,500, 2,000 and 3,000 mm/min; and hole diameters of 8, 10, 12 and 14 mm have been selected. The effects of processing parameters in drilling experiments were investigated in conformity with the Taguchi L-16 orthogonal array and the data obtained were analyzed using Minitab 17 software. The signal/noise (S/N) ratio was taken as a basis for evaluating the test results. Optimum processing conditions were determined by calculating the S/N ratio for both Ra and F-d in conformity with the smaller is better approximation. The effects of processing parameters on Ra and F-d were statistically investigated using analysis of variance, S/N ratio and Taguchi-based gray relational analysis. Ra and F-d were predicted by evaluating with the ANN model and were predicted with the least amount of error. Findings It has been determined that the most effective parameter for Ra and F-d is the water pressure and then the stand-off distance. Originality/value The novel approach is to reduce cost and the time spent by using Taguchi optimization as a result of AWJ drilling the material in this fiber orientation [0 degrees/90 degrees](s). | en_US |
dc.identifier.doi | 10.1108/MMMS-04-2022-0071 | |
dc.identifier.endpage | 753 | en_US |
dc.identifier.issn | 1573-6105 | |
dc.identifier.issn | 1573-6113 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.scopus | 2-s2.0-85135225055 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 734 | en_US |
dc.identifier.uri | https://doi.org/10.1108/MMMS-04-2022-0071 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/12757 | |
dc.identifier.volume | 18 | en_US |
dc.identifier.wos | WOS:000834723100001 | en_US |
dc.identifier.wosquality | Q3 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Akıncıoğlu, Sıtkı | |
dc.language.iso | en | en_US |
dc.publisher | Emerald Group Publishing Ltd | en_US |
dc.relation.ispartof | Multidiscipline Modeling In Materials and Structures | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | $2023V1Guncelleme$ | en_US |
dc.subject | Glass Fiber-Reinforced Polymer Composite; Abrasive Water Jet; Taguchi-Based Gray Relational Analysis; Artificial Neural Network (Ann) | en_US |
dc.subject | Prediction; Optimization; Strength; Model | en_US |
dc.title | Investigation of the effect of AWJ drilling parameters for delamination factor and surface roughness on GFRP composite material | en_US |
dc.type | Article | en_US |
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