Yazar "Huseyinoglu, Mesut" seçeneğine göre listele

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    Determination of stiffness modifications to keep certain natural frequencies of a system unchanged after mass modifications
    (Springer, 2017) Huseyinoglu, Mesut; Cakar, Orhan
    Structural modifications in the form of mass, stiffness and damping to a structure change the dynamic properties of that structure. However, in some cases, after modifications are made to the structures, certain specified natural frequencies of the structure are desired to remain unchanged. This study is interested in the determination of necessary stiffness modifications in order to keep a certain number of natural frequencies of the system unchanged despite mass attachments. In particular, two methods based on the Sherman-Morrison formula are developed in order to determine the spring coefficients needed to keep one and more than one natural frequency of the structures unchanged. The developed methods directly use the Frequency Response Functions of the unmodified system relating the modification coordinates only and they need neither a physical model nor a modal model. The numerical simulations show that they are very effective. However, due to the nature of the inverse problem, any solution or practical realistic solution may be not found. The existence of the solution depends on also the modification coordinates chosen. A simple sensitivity approach demonstrated by a 3D graph is proposed to be able to choose a suitable modification.
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    Effect of MQL on Surface Roughness in Milling of AA7075-T6
    (Taylor & Francis Inc, 2010) Tosun, Nihat; Huseyinoglu, Mesut
    In this study, the effect of cutting parameters and cooling technique on the workpiece surface roughness in milling of 7075-T6 aluminum alloy was experimentally investigated. Experiments were conducted under different spindle speed, feed rate, cooling technique (conventional and minimum quantity lubrication), and cutting tool material. The effect of volumetric concentration of solution for minimum quantity lubrication (MQL) was also investigated. The cutting fluid is a mixture of boron oil and water. The cutting fluid in milling with MQL was delivered to the interface workpiece and cutting tool as atomize. The experimental results for surface roughness were statistically analyzed by using analysis of variance (ANOVA).
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    Empirical Study Regarding the Effects of Minimum Quantity Lubricant Utilization on Performance Characteristics in the Drilling of Al 7075
    (Abcm Brazilian Soc Mechanical Sciences & Engineering, 2011) Kilickap, Erol; Huseyinoglu, Mesut; Ozel, Cihan
    Cutting fluids are difficult and expensive to recycle. These drawbacks mentioned can be reduced or eliminated by performing the cutting operations with minimum quantity lubrication or without using any cutting fluid. In this study, the effects of different cutting parameters on performance characteristics are studied empirically during the drilling of Al7075. The work piece surface roughness and the temperature changes due to the incurred heat at the cutting process are taken as performance outputs. In the experiments, HSS tools with a diameter of 8 mm and an angle of 118o were used. Minimum quantity lubrication (MQL), compressed air and dry processing (without the usage of any cooling liquid) techniques are used as the applied cooling technique. In the processing technique with MQL, the cooling liquid is sent pulverized on the interface between the work piece and the tool. Boron oil-water emulsion is used as the cutting liquid. As a result of the experiments, it is determined that better results are achieved with the MQL technique than with other cooling techniques. The best surface roughness is achieved at 20 m/min cutting speed and 0.1 mm/rev feed rate.
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    Fuzzy logic model for the prediction failure analysis of composite plates under various cure temperatures
    (Abcm Brazilian Soc Mechanical Sciences & Engineering, 2014) Ozben, Tamer; Huseyinoglu, Mesut; Arslan, Nurettin
    In this study, stress values were examined in pin/bolt connected composite plates which were applied preload and non-preload moment. Composite plates were produced with different curing cycles and geometric dimensions. Failure analysis of composite plates was carried out by applying different preload moments. The results obtained from experimental study were processed using fuzzy model. The results of experiments and fuzzy model were presented as a comparative. As a result of the comparison, it can be said that the initial stress values of failure were approximately determined using fuzzy model.
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    Optimization of drilling parameters on surface roughness in drilling of AISI 1045 using response surface methodology and genetic algorithm
    (Springer London Ltd, 2011) Kilickap, Erol; Huseyinoglu, Mesut; Yardimeden, Ahmet
    Modeling and optimization of cutting parameters are one of the most important elements in machining processes. The present study focused on the influence machining parameters on the surface roughness obtained in drilling of AISI 1045. The matrices of test conditions consisted of cutting speed, feed rate, and cutting environment. A mathematical prediction model of the surface roughness was developed using response surface methodology (RSM). The effects of drilling parameters on the surface roughness were evaluated and optimum machining conditions for minimizing the surface roughness were determined using RSM and genetic algorithm. As a result, the predicted and measured values were quite close, which indicates that the developed model can be effectively used to predict the surface roughness. The given model could be utilized to select the level of drilling parameters. A noticeable saving in machining time and product cost can be obtained by using this model.
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    Selection of Optimum Drilling Parameters on Burr Height Using Response Surface Methodology and Genetic Algorithm in Drilling of AISI 304 Stainless Steel
    (Taylor & Francis Inc, 2010) Kilickap, Erol; Huseyinoglu, Mesut
    This article illustrates an application of response surface methodology (RSM) and genetic algorithm (GA) for selecting the optimum combination values of drilling parameters affecting the burr height in drilling of AISI 304 stainless steel. The purpose of this article is to investigate the influence of the cutting parameters, such as cutting speed and feed rate, and point angle on burr height produced when drilling AISI 304 stainless steel. The experiments were conducted based on the Box-Behnken design. The measured results were collected and analyzed with the aid of a commercial software package Design Expert 6 and Matlab. A mathematical prediction model was developed using RSM) for the burr height. The effects of drilling parameters on the burr height were evaluated using RSM and optimum drilling conditions for minimizing the burr height were determined using GA. The GA optimization results have revealed that the minimum burr height was obtained at lower cutting speed and feed rates while at higher point angle.