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| 1 | Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms显示文摘In this study,experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with(wt.%)50FeCrC‐20FeW‐30FeB and 70FeCrC‐30FeB powder mixtures by plasma transfer arc welding were determined.The dataset comprised 99 different wear amount measurements obtained experimentally in the laboratory.The linear regression(LR),support vector machine(SVM),and Gaussian process regression(GPR)algorithms are used for predicting wear quantities.A success rate of 0.93 was obtained from the LR algorithm and 0.96 from the SVM and GPR algorithms. | Osman ALTAY Turan GURGENC Mustafa ULAS Cihan OZEL | 2020 | Friction2020，8，1： | 2 |
| 2 | A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic,kernel-based,and weighted extreme learning machine显示文摘Wear tests are essential in the design of parts intended to work in environments that subject a part to high wear.Wear tests involve high cost and lengthy experiments,and require special test equipment.The use of machine learning algorithms for wear loss quantity predictions is a potentially effective means to eliminate the disadvantages of experimental methods such as cost,labor,and time.In this study,wear loss data of AISI 1020 steel coated by using a plasma transfer arc welding(PTAW)method with FeCrC,FeW,and FeB powders mixed in different ratios were obtained experimentally by some of the researchers in our group.The mechanical properties of the coating layers were detected by microhardness measurements and dry sliding wear tests.The wear tests were performed at three different loads(19.62,39.24,and 58.86 N)over a sliding distance of 900 m.In this study,models have been developed by using four different machine learning algorithms(an artificial neural network(ANN),extreme learning machine(ELM),kernel-based extreme learning machine(KELM),and weighted extreme learning machine(WELM))on the data set obtained from the wear test experiments.The R2 value was calculated as 0.9729 in the model designed with WELM,which obtained the best performance among the models evaluated. | Mustafa ULAS Osman ALTAY Turan GURGENC Cihan OZEL | 2020 | Friction2020，8，6： | 2 |
| 3 | Dynamic stability assessment of damaged passenger/ro ro ships and proposal of rational survival criteria显示文摘 | VASSALOS Dracos Turan Osman Pawlowski Maciej | 1997 | Marine Technology1997，34，4： | 1 |
| 4 | Deficit irrigation of sunflower (Helianthus annuus L.) in a sub-humid climate显示文摘 | Ali Osman Demir Abdurrahim Tanju G?ksoy Hakan Büyükcangaz Zeki Metin Turan Eyüp Selim K?ksal | 2006 | Irrigation Science2006，，4： | 1 |
| 5 | Ultrasonic harmonic scalpel in total thyroidectomies显示文摘 | OSMAN Y TURAN U MENEKSE E | 2008 | Adv Ther2008，25，3： | 1 |
| 6 | Ultrosonic harmonic scalpel in total thyroidectomies显示文摘 | Osman Y Turan U Menekse E | 2008 | Adv Ther2008，25，3： | 1 |
| 7 | Ultrasonic harmonicscalpel in total thyroidectomies显示文摘 | Osman Y Turan U Menekse E | 2008 | Adv Ther2008，25，3： | 1 |
| 8 | Contribution of Human Factors to Fishing Vessel Accidents and Near Misses in the UK显示文摘 | Iraklis Lazakis Rafet Emek Kurt Osman Turan | 2014 | Journal of Shipping and Ocean Engineering2014，4，9： | 0 |
| 9 | Manoeuvring prediction based on CFD generated derivatives显示文摘This paper presents numerical predictions of ship manoeuvring motions with the help of computational fluid dynamics(CFD) techniques. A program applying the modular concept proposed by the Japanese ship manoeuvring mathematical modelling group(MMG) to simulate the standard manoeuvring motions of ships has been initially developed for 3 degrees of freedom manoeuvring motions in deep water with regression formulae to derive the hydrodynamic derivatives of the vessels. For higher accuracy, several CFD generated derivatives had been substituted to replace the empirical ones. This allows for the prediction of the maneuverability of a vessel in a variety of scenarios such as shallow water with expected good results in practice, which may be significantly more time-consuming if performed using a fully CFD approach. The MOERI KVLCC2 tanker vessel was selected as the sample ship for prediction. Model scale aligned and oblique resistance and Planar Motion Mechanism(PMM) simulations were carried out using the commercial CFD software Star CCM+. The PMM simulations included pure sway and pure yaw to obtain the linear manoeuvring derivatives required by the computational model of the program. Simulations of the standard free running manoeuvers were carried out on the vessel in deep water and compared with published results available for validation. Finally, simulations in shallow water were also presented based on the CFD results from existing publications and compared with model test results. The challenges of using a coupled CFD approach in this manner are outlined and discussed. | Shi He Paula KELLETT Zhiming YUAN Atilla INCECIK Osman TURAN Evangelous BOULOUGOURIS | 2016 | Journal of Hydrodynamics2016，28，2： | 0 |
| 10 | Seafarers' Current Awareness, Knowledge, Motivation and Ideas towards Low Carbon-Energy Efficient Operations显示文摘 | Charlotte Banks Osman Turan Atilla Incecik Iraklis Lazakis Ruihua Lu | 2014 | Journal of Shipping and Ocean Engineering2014，4，3： | 0 |
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