Bartın Üniversitesi Araştırma ve Akademik Performans Sistemi
DSpace@Bartın, Bartın Üniversitesi’nin bilimsel araştırma ve akademik performansını izleme, analiz etme ve raporlama süreçlerini tek çatı altında buluşturan bütünleşik bilgi sistemidir.
İndekslere Göre Dağılım
Yıllara Göre Dağılım
Türlere Göre Dağılım
Güncel Gönderiler
Öğe Türü: Yayın , Aubrieta necmi-aksoyi (Brassicaceae), a new species from Turkey and a key to the species of Aubrieta(MAGNOLIA PRESS, 2022) Tunçkol, Bilge; Özkan, Neval Güneş; Al-Shehbaz, İhsan A.; Tunçkol, Bilge; Ulus Meslek Yüksekokulu, Ormancılık BölümüAubrieta necmi-aksoyi is described as a new Turkish species endemic to Bolu Province. Its relationships to the closely related A. alshehbazii and A. ekimii are discussed. A detailed genereic description and a key to all Turkish species of Aubrieta are presented.Öğe Türü: Yayın , Effects of machining parameters on delamination failure in milling of multi-directional CFRP laminate with uncoated carbide cutting tools(ICE Publishing, 2019) Özkan, Derviş; Gök, Mustafa Sabri; Gökkaya, Hasan; Karaoğlanlı, Abdullah Cahit; Gök, Mustafa Sabri; Özkan, Derviş; Karaoğlanlı, Abdullah Cahit; Mühendislik Mimarlık ve Tasarım Fakültesi, Makine Mühendisliği BölümüAs one of the main failure mechanisms emerging in the milling of carbon (C)-fiber-reinforced polymer (CFRP) materials, delamination is primarily affected by cutting tool material and geometry, machining parameters and the dynamic loads arising during the machining process. In this study, machinability tests were performed without the use of coolants to examine the effect of machining parameters on multidirectional CFRP composite workpieces, which have a wide application in industries. The tests were applied on a computer numerically controlled vertical processing center at three different cutting speeds (100, 200 and 300 m/min), three different feed rates (0·05, 0·15 and 0·25 mm/tooth) and constant cutting depth (1 mm). Following the tests, the changes in the workpiece were examined in terms of surface roughness, cutting forces, tool wear and delamination failures. The average surface roughness increased with increasing feed rate. Cutting forces also increased with increasing cutting speed, which caused improvements on average surface roughness values. As a machining parameter, feed rate was found to be a determining factor in the machining of CFRP composite materials.Öğe Türü: Yayın , Öğe Türü: Yayın , Artificial intelligence methods and their applications in civil engineering(IGI Global, 2015) Martínez-Barrera, Gonzalo; Beycioğlu, Ahmet; Gencel, Osman; Subaşı, Serkan; González-Rivas, Nelly; Gençel, Osman; Mühendislik Mimarlık ve Tasarım Fakültesi, İnşaat Mühendisliği BölümüSimulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology.Öğe Türü: Yayın , Understanding the affinity between components of wood-plastic composites from a surface energy perspective(2011) Oporto, Gloria S.; Gardner, Douglas J.; Kızıltaş, Alper; Neivandt, David J.To evaluate surface compatibility inwood-plastic composites (WPCs), the dispersion and acid-base components of surface energy of various thermoplastic resins (matrices) and several wood-based reinforcing materials were determined using inverse gas chromatography (IGC). Polypropylene (PP), nylon 6, poly(ethylene terephthalate) (PET), poly(trimethyl terephthalate) (PTT), high impact polystyrene (HIPS), and styrene maleic anhydride (SMA) were used as thermoplastic resins while wood flour (hot water extracted and un-extracted), microcrystalline cellulose (MCC) (50μm and 907mu;m), α-cellulose (60μm), and silicified microcrystalline cellulose (SMCC) (60μm) were used as reinforcing materials. All matrices and reinforcing components were exposed to low vapor concentrations of apolar (decane, heptane,nonane,octane) and polar(chloroform, ethyl acetate, dichloromethane, acetone, and tetrahydrofuran) probes. Methane and helium were employed as reference and carrier gases, respectively.IGC retention times were used to determine the acid-base component of surface energy of the analyzed materials. The corresponding surface energy, work of adhesion, and work of cohesionwere calculated based on the van Oss-Chaudhury-Good approach (acid-base and Lifshitz-van der Waals interactions). Composite performance was analyzed by measuring tensile and flexural strengths according to ASTM standards. The results indicated that for the same type of filler (assuming similar shape and dimensions), the mechanical properties of the composites increased when the ratio of the work of adhesion to the work of cohesion increased. A similar trend was observed when the thermoplastic resin employed to create the composite possessed an acid-base component of surface energy greater than zero.
