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## MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE

#### Ferhat UÇAR [1] , Nida KATI [2]

The Metal Matrix Composite (MMC) technology of today is a challenging topic with novel developments. MMC materials have a key role in space, automotive, naval, and aviation industries and supplies of the defense industry owing to their superior specifications. Hence, advancing the machining quality of these materials is an essential point. This work presents a machine learning-based prediction model for the surface roughness of LM25/SiC/4p composite. The related dataset is linked to an MMC, which is machined with a cylindrical grinder, so the input parameters of the model are depth of cut, wheel velocity, feed, and velocity of the workpiece. The proposed model is based on a state of the art machine-learning method called Gaussian Process Regression (GPR). Alongside its robust performance in the small datasets, GPR has the ability with its Bayesian approach basis in providing uncertainty evaluation on the predicted values. Parameter optimization is also applied to the proposed GPR model. For a better evaluation of the GPR, a support vector machine-based prediction model is also tested. In addition to the data split test method, models are tested with a 5-fold cross-validation algorithm. The experimental results present that the proposed GPR model reaches an adequate accuracy in terms of R-square, root mean squared error, and mean absolute error criteria.
metal matrix composite, machine learning, surface roughness, GPR prediction model
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Birincil Dil en Malzeme Bilimleri, Ortak Disiplinler December 2020 Araştırma Makalesi Orcid: 0000-0001-9366-6124Yazar: Ferhat UÇAR (Sorumlu Yazar)Kurum: FIRAT UNIVERSITYÜlke: Turkey Orcid: 0000-0001-7953-1258Yazar: Nida KATIKurum: FIRAT ÜNİVERSİTESİÜlke: Turkey Yayımlanma Tarihi : 30 Aralık 2020
 Bibtex @araştırma makalesi { ejt773093, journal = {European Journal of Technique (EJT)}, issn = {2536-5010}, eissn = {2536-5134}, address = {INESEG Yayıncılık Dicle Üniversitesi Teknokent, Sur/Diyarbakır}, publisher = {Hibetullah KILIÇ}, year = {2020}, volume = {10}, pages = {415 - 430}, doi = {10.36222/ejt.773093}, title = {MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE}, key = {cite}, author = {Uçar, Ferhat and Katı, Nida} } APA Uçar, F , Katı, N . (2020). MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE . European Journal of Technique (EJT) , 10 (2) , 415-430 . DOI: 10.36222/ejt.773093 MLA Uçar, F , Katı, N . "MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE" . European Journal of Technique (EJT) 10 (2020 ): 415-430 Chicago Uçar, F , Katı, N . "MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE". European Journal of Technique (EJT) 10 (2020 ): 415-430 RIS TY - JOUR T1 - MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE AU - Ferhat Uçar , Nida Katı Y1 - 2020 PY - 2020 N1 - doi: 10.36222/ejt.773093 DO - 10.36222/ejt.773093 T2 - European Journal of Technique (EJT) JF - Journal JO - JOR SP - 415 EP - 430 VL - 10 IS - 2 SN - 2536-5010-2536-5134 M3 - doi: 10.36222/ejt.773093 UR - https://doi.org/10.36222/ejt.773093 Y2 - 2020 ER - EndNote %0 European Journal of Technique MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE %A Ferhat Uçar , Nida Katı %T MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE %D 2020 %J European Journal of Technique (EJT) %P 2536-5010-2536-5134 %V 10 %N 2 %R doi: 10.36222/ejt.773093 %U 10.36222/ejt.773093 ISNAD Uçar, Ferhat , Katı, Nida . "MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE". European Journal of Technique (EJT) 10 / 2 (Aralık 2020): 415-430 . https://doi.org/10.36222/ejt.773093 AMA Uçar F , Katı N . MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE. EJT. 2020; 10(2): 415-430. Vancouver Uçar F , Katı N . MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE. European Journal of Technique (EJT). 2020; 10(2): 415-430. IEEE F. Uçar ve N. Katı , "MACHINE LEARNING BASED PREDICTIVE MODEL FOR SURFACE ROUGHNESS IN CYLINDRICAL GRINDING OF AL BASED METAL MATRIX COMPOSITE", European Journal of Technique (EJT), c. 10, sayı. 2, ss. 415-430, Ara. 2021, doi:10.36222/ejt.773093

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