Yazar "Kalyon, Ali" seçeneğine göre listele
Listeleniyor 1 - 14 / 14
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe ANN prediction of impact toughness of ship steel/stainless steel plates produced by explosive welding(Academic Publication Council, 2020) Kaya, Yakup; Kalyon, Ali; Kahraman, NizamettinIn this study, ship steel/stainless steel plates were produced by joining ship steel with stainless steel using explosive welding process. The characterization of the joining interface of the plates was carried out by optical microscopic examination. Charpy impact tests were conducted at different temperatures to determine the impact toughness of the ship steel/stainless steel plates and the effect of the rolling on the impact toughness. In addition, after the Charpy impact test, the fractured surfaces of the specimens were investigated via scanning electron microscopy (SEM). Using the data obtained as a result of the impact toughness tests, an artificial neural network (ANN) model was unproved for the prediction of the impact toughness. Five different material types, two different rolling directions, and eight different temperatures were used as the input parameters of the Charpy impact tests. The impact toughness values obtained at the end of the tests were used as the output parameters of the generated prediction model. The high R-2 value obtained in the developed prediction model demonstrated that it could be successfully used for predicting impact toughness.Öğe Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron(Springer, 2018) Kalyon, Ali; Gunay, Mustafa; Ozyurek, DursunHigh chrome white cast iron is particularly preferred in the production of machine parts requiring high wear resistance. Although the amount of chrome in these materials provides high wear and corrosion resistances, it makes their machinability difficult. This study presents an application of the grey relational analysis based on the Taguchi method in order to optimize chrome ratio, cutting speed, feed rate, and cutting depth for the resultant cutting force (F (R)) and surface roughness (R (a)) when hard turning high chrome cast iron with a cubic boron nitride (CBN) insert. The effect levels of machining parameters on F (R) and R (a) were examined by an analysis of variance (ANOVA). A grey relational grade (GRG) was calculated to simultaneously minimize F (R) and R (a). The ANOVA results based on GRG indicated that the feed rate, followed by the cutting depth, was the main parameter and contributed to responses. Optimal levels of parameters were found when the chrome ratio, cutting speed, feed rate, and cutting depth were 12%, 100 m/min, 0.05 mm/r, and 0.1 mm, respectively, based on the multiresponse optimization results obtained by considering the maximum signal to noise (S/N) ratio of GRG. Confirmation results were verified by calculating the confidence level within the interval width.Öğe Artificial neural network prediction of aging effects on the wear behavior of IN706 superalloy(Elsevier Sci Ltd, 2015) Palavar, Osman; Ozyurek, Dursun; Kalyon, AliIn this study, the effect of aging parameters on wear behavior of PM Inconel 706 (IN 706) superalloy was experimentally investigated and an ANN model was developed to predict weight loss after wear tests. IN 706 superalloy powders were cold pressed (700 MPa) and sintered at 1270 degrees C for 90 min. The sintered components were gradually aged for 16 h at 730 degrees C and for 12-20 h at 620 degrees C. The samples of IN706 superalloy were subjected to wear test at a constant sliding speed of 1 m/s under three different loads (30 N, 45 N and 60 N) and for five different sliding distances (400-2000 m). The results clearly showed that delta, gamma' and gamma '' phases were observed around grain boundaries of IN 706 superalloy aged for different periods. The highest hardness was measured for the samples aged for 12 h. Weight losses were found to increase as the sliding distance increased. Moreover, the ANN modeling of weight loss values for IN 706 superalloy gave effective results and can be successfully used to predict weight loss values in the parameters that were determined by the obtained high R-2 value. (C) 2015 Elsevier Ltd. All rights reserved.Öğe Determination of Multi-performance Characteristics in Electric Discharge Machining of DIN 1.2767 Steel Using Grey Relational Analysis(Koya Univ, 2021) Fatatit, Abubaker Y.; Kalyon, AliElectric discharge machining (EDM) is one of the most important unconventional machining processes, which can cut hard materials and complex shapes that are difficult to machine by conventional machining processes easily and with high accuracy. In this study, L18 orthogonal array combined with gray relational analysis (GRA) is implemented to investigate the multiple performances characteristics in EDM of DIN 1.2767 Tool Steel. Machining process parameters selected were discharge current (Ip), pulse-on time (T-on), pulse-off time (T-off), and electrode material (copper alloys [NSS and B2]). The investigated performances characteristics were tool wear rate (TWR) and material removal rate (MRR). Analysis of variance (ANOVA) and Taguchi's signal-to-noise ratio with the help of Minitab-17 software were used to analysis the effect of the process parameters on TWR and MRR. The experimental results and data analysis reveal that TWR and MRR are more affected by Ip and Ton. The minimum TWR was obtained at parametric combination Ip (6A), T-on (800 mu s), and T-off (800 mu s) and the maximum MRR attained at Ip (25A), T-on (800 mu s), T-off (200 mu s), and NSS electrode. After applying GRA, the optimal parametric combination for MRR and TWR was determined as Ip (25A), T-on (800 mu s), T-off (200 mu s), and NSS electrode. The study also exhibited the occurrence of an interaction between the variables on the responses. In addition, scanning electron microscopy images showed that the metal surface was affected with the increase in T-on and T-offÖğe Dry Sliding Wear Behaviours of Valve Seat Inserts Produced from High Chromium White Iron(Walter De Gruyter Gmbh, 2015) Kalyon, Ali; Ozyurek, Dursun; Gunay, Mustafa; Aztekin, HasanIn this present study, wear behaviours of high chromium white iron valve seat inserts and tappets used in the automotive sector were investigated. Wear behaviours of three different rates of high chromium white cast irons (containing 10, 12 and 14% chromium) were examined under heavy service conditions. For that purpose, the produced valve seat inserts were characterized through Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), X-ray diffraction (XRD) and hardness measurements. They were tested at a sliding speed of 1 ms(-1), under 120 N load and for six different sliding distances (500, 1000, 1500, 2000, 2500, 3000 m) by using a standard wear apparatus (pin-on-disk type). The result showed that as the amount of Cr increased in the alloys, their hardness decreased. The decrease in the hardness were considered to be as the result of transformation of M7C3 carbides into M23C6 carbides in the structure. This decrease in hardness with increasing chromium content also increased the weight loss. Thus, it was determined that the white iron with 14% Cr (which had a greater amount of M23C6 carbides) was subjected to the highest wear.Öğe Elektro erozyon ile işlemede yüzey pürüzlülüğü ve iş parçası işleme hızının alüminyum alaşımı için taguchi tekniği ile optimizasyonu(2019) Kalyon, AliBu çalışmada farklı elektrot malzemeleri kullanarak alüminyum 6082 malzemesinin elektro erozyontezgahında işlenebilirliği incelenmiştir. İşleme parametrelerine bağlı olarak iş parçası yüzeypürüzlülüğü ve iş parçası işleme hızı araştırılarak optimum işleme şartları tespit edilmiştir. DeneylerTaguchi L18 dikey dizilimine göre yapılmıştır. Deney sonuçlarının değerlendirilmesindesinyal/gürültü oranları, grafikler ve regresyon analizi kullanılmıştır. Taguchi optimizasyonu ile,optimum yüzey pürüzlülüğü ve iş parçası işleme hızı değerleri belirlenmiştir. Yüzey pürüzlülüğü içinoptimum seviyeler A1B1C1, iş parçası işleme hızı için optimum seviyeler A2B3C3 deney şartı olarakbulunmuştur. Kontrol faktörlerinin deneysel çıktılara etkisi ANOVA kullanılarak hesaplanmıştır.ANOVA analizi sonuçlarına göre, boşalım akımının yüzey pürüzlülüğüne %90,09 ve iş parçası işlemehızına % 95,54 oranında etkili olduğu bulunmuştur. Yüzey pürüzlülüğü ve iş parçası işleme hızı içindoğrulama deney sonuçlarının güven aralığı içinde yer aldığı bulunmuştur. Çalışma sonucundaTaguchi metodu ile 0.05 anlamlılık düzeyinde yapılan optimizasyon çalışmasının başarılı olduğugörülmüştür.Öğe Experimental investigation and prediction of wear properties of Al/SiC metal matrix composites produced by thixomoulding method using Artificial Neural Networks(Elsevier Sci Ltd, 2014) Ozyurek, Dursun; Kalyon, Ali; Yildirim, Musa; Tuncay, Tansel; Ciftci, IbrahimIn this study, the wear properties of the SiC particle reinforced aluminium (A356) composite materials (MMCs), produced with thixomoulding method, were investigated both by experimental and Artificial Neural Network (ANN) model in order to determine the weight loss after the wear tests. Two different temperatures (590 degrees C and 600 degrees C) were used in production of the MMCs containing 5%, 10%, 15% and 20% SiC (vol%). The samples of MMC were tested at 2 ms (1) constant sliding speed under 30 N and 60 N loads against four different sliding distances (500 m, 1000 m, 1500 m, and 2000 m). The results indicated that by increasing the production temperature increased the grain size of the MMCs was increased, but the hardness was decreased. The MMCs produced at 590 degrees C were found to have lower weight loss as compared with ones produced at 600 degrees C. In the theoretical prediction model of the MMCs, weight loss, SiC per cent, production temperature, applied weight and sliding distance were used as input values. After comparing the experimental results and the ANNs predicted data it was observed that R-2 was 0.9855. This shows that the developed prediction model has a high level of reliability. (C) 2014 Elsevier Ltd. All rights reserved.Öğe Investigation into the Electrical Discharge Machining Parameters of DIN 2767 Tool Steel Using Taguchi Method(Univ Science & Technology Southern Philippines, 2021) Fatatit, Abubaker Yousef; Kalyon, AliElectrical discharge machining (EDM) is one of the most crucial non-traditional machining methods used in molds and dies manufacturing, and conductive materials machining, which are difficult to machine by traditional methods. The EDM performance is affected by several machining parameters with different contribution percentages. In this study, the experimental investigations were conducted on DIN 2767 tool steel using CuCrZr, Cu and CuCo1Ni1Be (CNB) electrodes. The most influential process parameters were focused on to improve the EDM performance. The value of the process parameters and their levels were discharge current (6, 12 and 25 A), pulse-on time (50, 200 and 800 mu s) and pulse-off time (50, 200 and 800 mu s). Optimal levels of machining process parameters were obtained by employing the Taguchi L-27 orthogonal arrays. The experimental results showed that the optimal combination of the machining parameters for maximum material removal rate was A(3)B(2)C(1) using a CNB electrode. For minimum tool wear rate, the optimal parametric combination was A(1)B(3)C(1)( )and Cu electrode. The optimal parametric combination was A(1)B(3)C(3) and CuCrZr electrode for minimum surface roughness. The study further revealed the relation and interaction effect between process parameters for the performance measures. Lastly, the process parameters affected and changed the DIN 2767 tool steel workpieces' surface integrity as evidenced by the scanning electron microscopy images.Öğe An Investigation of the Wear Performance of Aged Inconel 718 Superalloy by the Fuzzy Logic Approach(Springer, 2019) Kalyon, Ali; Palavar, Osman; Ozyurek, DursunIn this study, the effects of delta, gamma' and gamma '' phases on the microstructure and wear behavior of Inconel 718 alloy, produced by powder metallurgy technique, were analyzed experimentally and a fuzzy logic model was developed for the weight loss prediction after the wear tests. Aging process was carried out in two stages: firstly at 720 degrees C for 8h and then at 620 degrees C for 6-10h. Wear tests were performed at five different sliding distances (400-2000m) for 1ms(-1) sliding speed under 30 to 60N loads. Weight loss prediction model was developed by using fuzzy logic method. SEM images of Inconel 718 alloy aged for 6, 8 and 10h at 620 degrees C show intermetallic precipitates formed around particle boundaries. XRD examinations showed orthorhombic delta(Ni3Nb), BCT gamma '' (Ni3Nb), FCC gamma' Ni-3(Al,Ti) hexagonal Laves (Fe2Nb) phases formed in the structure with the same chemical composition and different crystal lattice. Accurate estimates were obtained in the developed fuzzy logic model. It was illustrated that this fuzzy logic model can be used successfully for the prediction of weight loss in wear tests of Inconel 718 alloy that was produced by powder metallurgy method.Öğe Multi objective optimization of parameters in EDM of Mirrax steel(Taylor & Francis Inc, 2023) Erman, Batuhan; Kalyon, AliAccompanying the technological development and the advancement in the industry, the demand for materials with superior properties such as high strength, hardness and toughness is increasing. This made it difficult or impossible to cut these materials by conventional methods. Electric discharge machining (EDM) is one of the most important unconventional machining methods that have the ability to cut electrically conductive materials regardless of their mechanical properties. In this study, the machinability of Mirrax plastic mold steel was investigated experimentally employing the electrical discharge machining technique, and its machinability was optimized using gray relational analysis. Experiments were carried out using the Taguchi L-27 orthogonal setup, with the electrode type, discharge current, pulse on time, and pulse off time as inputs. The surface roughness was measured, the material removal rate and the electrode wear rate values were calculated. A multi-purpose optimization study was carried out for the outputs. The analysis of variance results defined that the discharge current was the most influential parameter among the machining parameters, whereas the pulse off time was ineffective in the processing of Mirrax plastic mold steel via EDM. The Taguchi based gray relational analysis determined that the GRG value had been improved by 32.24%.Öğe Optimization and measurement of flank wear and surface roughness via Taguchi based grey relational analysis(Taylor & Francis Inc, 2021) Peksen, Hilmi; Kalyon, AliThis study examined experimentally and statistically the machinability of AISI 430 stainless steel on a lathe using two type different coated tool inserts, three various cutting speeds (80, 140, 200 m/min) and three various feed rates (0.75, 1.5, 2.25 mm/rev). Experimental studies were carried out using a coolant and cutting depth of 1.5 mm was used constant under all experiment conditions. In the machinability tests, the impact of turning parameters and levels on Ra and the amount of wear on the cutting tool were examined. The impact of machinability parameters on VB and Ra were calculated using analysis of variance, which determined that feed rate was the most powerful machining parameter for the VB and Ra. Taguchi-based gray relational analysis was performed to find out the ideal machining orders for Ra and VB. According GRA, the percentage of improvement in the gray relational degree was calculated as 69.1%. As a result of this work, multiple performance outputs (surface roughness-flank wear) were improved considerably in machining of difficult-to-machine AISI 430 stainless steel.Öğe Optimization of machining parameters in sinking electrical discharge machine of caldie plastic mold tool steel(Springer India, 2020) Kalyon, AliThe aim of this study was to investigate the machinability of caldie cold work tool steel using the electro erosion technique. In the experimental study, graphite and copper were used as the electrode materials. Three levels for discharge current (6, 12 and 25 A) and three levels for pulse duration (50, 100 and 200 mu s) were used as machining parameters. The experimental model was designed according to the Taguchi L-18 orthogonal array. Signal/noise ratios, graphs and regression analysis were used to evaluate the results of the experiments. Using the Taguchi technique, the optimum machining parameters were determined with process outputs for surface roughness, material removal rate and electrode wear rate. The optimum levels were found to be A(1)B(1)C(1) for surface roughness and electrode wear rate and A(2)B(3)C(3) for material removal rate. The effect of control factors on experimental outputs was calculated by performing ANOVA. According to the ANOVA results, discharge current was the most effective parameter on machinability. When the experimental data were compared statistically with the Taguchi optimization and regression model data, the results of the designed models were shown to be successful.Öğe Overcut Optimization in Machining of DIN 1.2767 Tool Steel with Electro Erosion Technique(2025) Fatatit, Abubaker Yousef; Kalyon, AliElectro discharge machining is an energy based method that can cause fast electrode wear and dimensional errors. This study aimed to identify the optimum process parameters for processing 1.2767 steel using copper-based electrodes. The Taguchi optimization approach was used, and 18 pieces of 1.2767 steel were prepared for the experiments. The electrodes used were CuCoNiBe and CuNi 2 SiCr, and the electrode surfaces were sanded and polished before processing. The results showed that the CuNi 2 SiCr electrode produced the lowest overcut value of 0.07 mm, while the CuCoNiBe electrode had the highest observed overcut value of 0.320 mm. The discharge level had the most significant impact on overcut, while the type of electrode had the least. The optimal parameters for the CuNi 2 SiCr electrode were 12 A discharge current, 50 µs pulse duration, and 800 µs pulse off time. The processing under ideal conditions resulted in an overcut measurement value of 0.05 mm. Elektro erozyon ile işleme, hızlı elektrot aşınmasına ve boyutsal hatalara neden olabilecek enerji tabanlı bir işleme yöntemidir. Bu çalışma, bakır bazlı elektrotlar kullanarak 1.2767 çeliğini işlemek için optimum işlem parametrelerini belirlemeyi amaçlamıştır. Taguchi optimizasyon tekniği kullanılarak deneyler için 18 adet 1.2767 çeliğinden işparçası hazırlanmıştır. İşleme deneylerinde CuCoNiBe ve CuNi 2 SiCr elektrot kullanılmıştır ve elektrot yüzeyleri işlemeden önce zımparalanarak parlatılmıştır. Çalışma sonucunda CuNi 2 SiCr elektrot ile en düşük yanal açıklık değeri olan 0.07 mm, CuCoNiBe elektrod ile en yüksek yanal açıklık değeri olan 0.320 mm elde edilmiştir. Boşalım akımı, yanal açıklık üzerinde en önemli etkiye sahipken, elektrot tipi en az etkiye sahip parametre olmuştur. CuNi 2 SiCr elektrot için optimum işlem parametreleri 12 A boşalım akımı, 50 µs vurum süresi ve 800 µs bekleme süresi olarak belirlenmiştir. Optimum işleme şartında, yanal açıklık değeri 0.05 mm olarak elde edilmiştir.Öğe Yüksek kromlu beyaz dökme demirlerin aşınma davranışlarının ve işlenebilirliğinin deneysel olarak incelenmesi(Karabük Üniversitesi, 2015) Kalyon, Ali; Özyürek, Dursun; Günay, MustafaBu çalışmada, otomotiv sektöründe, valf ve supap bagalarının üretiminde kullanılan ve farklı oranlarda Cr içeren yüksek kromlu beyaz dökme demirlerin aşınma davranışları ve işlenebilirliği incelenmiştir. Çalışmanın ilk aşamasında üç farklı krom oranına sahip (%10, %12, %14) yüksek kromlu beyaz dökme demirin, ağır çalışma şartları altında sergiledikleri aşınma performansları araştırılmıştır. Kalıpların hazırlanmasından sonra kimyasal bileşimlerine göre yüksek kromlu beyaz dökme demir alaşımlar ergitilerek, hazırlanan kalıplara dökülmüştür. Karakterizasyon çalışmaları için, üç farklı oranda Cr ilave edilerek üretilen bagalardan, 6 mm çapında numuneler hazırlanmıştır. Standart metalografik işlemler ile hazırlanan numuneler elektron mikroskobu (SEM+EDS/JEOL 6060), X-ışını kırınımı (XRD/ Rigaku), yoğunluk ölçümleri (Archimets) ve sertlik ölçümleri (AffriSystem VRSD-251/HV2) yapılarak karakterize edilmiştir. Aşınma testlerinde pin-on-disk tipi standart deney cihazı kullanılmıştır. Yüzeyleri hazırlanan numuneler 60 N, 90 N ve 120 N yük, 6 farklı kayma mesafesi (500-1000-1500-2000-2500-3000 m) ve 1 ms ? ?'lik kayma hızında test edilmiştir. Aşındırıcı disk olarak aynı kimyasal bileşime sahip malzemelerden üretilen diskler kullanılmıştır. İşlenebilirlik deneylerinde, iş parçaları seramik ve CBN kesici uçlar ile kuru ortamda bilgisayar sayısal denetimli torna tezgahında işlenmiştir. Kesici uç olarak seçilen seramik ve CBN kesiciler için ayrı ayrı Taguchi L27 dikey dizini deney seti uygulanmıştır. Tornalama esnasında dinamometre yardımıyla kesme kuvvetleri ölçülmüştür. İşleme sonrası parça yüzeylerinin yüzey pürüzlülükleri ölçülmüştür. Taguchi tekniği kullanılarak ideal kesme şartlarını için kontrol faktörleri belirlenmiştir. Kontrol faktörlerinin sonuçlara etkisi varyans analizi (ANOVA) yardımıyla bulunmuştur. Yapılan çalışmalar sonucunda %10 ve %14 Cr içeren alaşımların matrisinde, eşeksenel tane yapısının baskın olduğu gözlenirken, %12 Cr içeren alaşımın SEM görüntüsünde tanelerin uzama (sütunsal) eğilimi sergilediği anlaşılmıştır. XRD analiz sonuçlarında, %10 Cr içeren alaşımda M7C3 karbürlerin daha fazla olduğu, krom miktarının arttıkça alaşım içerisindeki M23C6 karbürlere dönüştüğü görülmüştür. Malzemelerin sertlik değerleri incelendiğinde, en yüksek sertlik değerlerinin 57 HRc ile %10 Cr ilave edilen yüksek kromlu beyaz dökme demir alaşımında elde edildiği görülmüştür. En düşük sertlik değeri ise 52 HRc ile %14 Cr ilave edilen alaşımda elde edilmiştir. %12 Cr içeren alaşımında ölçülen 55 HRc ile diğer iki alaşımın arasında bir sertlik gösterdiği bulunmuştur. Artan krom oranının malzemelerin yoğunluklarını arttırdığı gözlemlenmiştir. Aşınma testleri sonucunda malzemede artan krom oranının, malzemenin sertliğini ve de aşınma dayanımını azalttığı belirlenmiştir. Malzemede artan krom oranına bağlı olarak meydana gelen M7C3 karbürlerinin M23C6 karbürlerine dönüşmesinin, ağırlık kaybının artmasına neden olduğu görülmüştür. Aşınma testleri sonucunda, yapısında M23C6 karbürlerini daha fazla bulunduran %14 Cr'lu beyaz dökme demirin daha fazla aşındığı belirlenmiştir. Seramik ve CBN kesici uçlar ile yapılan talaşlı imalat deneylerinde elde edilen veriler incelendiğinde, düşük kesme parametrelerinin ve düşük krom oranının, yüksek kromlu beyaz dökme demirlerin işlenmesinde uygun parametreler olduğu bulunmuştur. Seramik ve CBN kesici uçlar ile yapılan tornalama deney sonuçlarının ANOVA analizi sonrası ilerleme miktarının, yüzey pürüzlülüğü üzerindeki en etkili parametre olduğu belirlenmiştir. Kesme kuvveti üzerinde en etkili parametrelerin kesme derinliği ve ilerleme miktarı olduğu anlaşılmaktadır.
