Makine ve Metal Teknolojileri Bölümü Makale Koleksiyonu

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https://hdl.handle.net/11492/3443

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Dijital okuryazarlık ve sosyal medya bağımlılık düzeylerinin mesleki bilgi edinimine etkisi
(Karamanoğlu Mehmetbey Üniversitesi, 2025) Karabayır, Gülcan; Akkoyunlu, Mehmet Cabir; Ada, Serkan
Teknoloji ve dijital dünyanın sürekli olarak değişmesi ve gelişmesi, dijital okuryazar bireylerin sosyal medyayı mesleki bilgi edinimi bağlamında doğru kullanabilmesini gerektirmektedir. Bu bağlamda; literatürde çalışmaları incelendiğinde; dijital okuryazarlık, sosyal medya bağımlılığı ve mesleki bilgi ediniminin birlikte yer aldığı araştırmalara rastlanmamıştır. İfade edilen kavramlardan iki tanesinin ilişkisinin irdelendiği çalışmalar bulunmakla beraber sınırlıdır. Bu çalışmayla literatürde bulunan bu eksikliğin tamamlanması amaçlanmaktadır. Bu makale, üniversiteye hazırlanan öğrencilerin dijital okuryazarlık, sosyal medya bağımlılığı ve mesleki bilgi edinimi arasındaki ilişkiyi incelemektedir. Çalışma, Türkiye'nin batısındaki bir ilçede bulunan farklı lise türlerinden öğrencilerden veriler alınarak hazırlanmıştır. Dijital okuryazarlık düzeyleri, sosyal medya bağımlılığı ve mesleki bilgi edinimi üzerinde çeşitli faktörlerin etkisi araştırılmıştır. Bulgular, dijital okuryazarlığın mesleki bilgi edinimini olumlu yönde etkilediğini göstermektedir. Ayrıca dijital okuryazarlığın sosyal medya bağımlılığı üzerinde de etkili olduğu belirtilmiş ancak sosyal medya bağımlılığının mesleki bilgi edinimini etkilemediği sonucuna ulaşılmıştır. Sonuçlar, dijital okuryazarlık becerilerinin ve sosyal medya kullanımının mesleki bilgi edinimi açısından önemini vurgulamaktadır.
Modeling, prediction, and optimization of pump system efficiency: A comparative study of machine learning methods and response surface method
(SAGE Publications Ltd, 2025) Orhan, Nuri; Kaya, Ender
This study explores the interrelationship between pump performance, system efficiency, and noise/vibration levels by analyzing the influence of pump frequency and outlet pressure. System efficiency predictions were conducted utilizing both the Response Surface Method (RSM) and advanced machine learning algorithms, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), and XGBoost. The comparative analysis revealed that ANN provided the highest prediction accuracy with an R2 value of 0.946, Root Mean Square Error (RMSE) of 1.2% and Mean Absolute Percentage Error (MAPE) of 2.32%. However, when predicting system efficiency using external data inputs, RSM outperformed other models, achieving an R2 value of 0.96 and a mean error rate of 3.84%. Optimization via RSM was performed for target flow rates of 35, 40, and 45 m3 h−1, with the optimal flow rate determined at 35 m3 h−1, corresponding to a system efficiency of 42%. To validate these optimization results, experimental tests were conducted, revealing a flow rate of 35.4 m3 h−1 and system efficiency of 42.95%, with error margins of 1.12% and 2.21%, respectively. The study demonstrates that RSM is a robust and effective tool for optimizing pump system performance, offering practical applications in improving energy efficiency and operational stability in pumping facilities. © IMechE 2025.
Prediction of drying kinetics and energy consumption values of purple carrots dried in a temperature-controlled microwave dryer by decision tree, random forest and ada boost approaches
(Elsevier B.V., 2025) Malaslı, Mehmet Zahid; Akkoyunlu, Mehmet Cabir; Pekel, Engin; Taşova, Muhammed
In the literature have focused on modeling data obtained under drying conditions with different methods and comparing them with each other. However, any studies have been found on estimating the behavior of the same material under different drying conditions. Therefore, a study was conducted to predict the behavior of the same material under different drying conditions. In the study, primarily purple carrot slices were reduced from 6.13 ± 0.05 to 0.14 ± 0.018 g moisture/g dry matter value. Among the models, the drying rates were best estimated by the Midilli-Küçük (R2: 0.9993) model. The lowest energy consumption was determined as 0.285 kWh in the drying process at 70 °C. Estimation of intermediate values is very useful because experimental studies can be length and expensive. Sometimes, even if cost is not a concern, long-term experimental studies and the high number of experiment repetitions increase the importance of estimation methods for researchers. The decision tree, random forest and ada boost methods, which are fast operating methods, were used as estimation methods in this study. MAPE and R2 success values are expressed for all three methods. The Decision Tree method was found to be the most successful technique with the highest R2 value (0.96) and the lowest MAPE value (0.03). © 2025 Elsevier B.V.
Poly(ethylene glycol) patterned surfaces functionalized with gallic acid@Aunanoparticles: İnvestigation of antibacterial activity for biomedical applications
(Springer, 2024) Karaağaç, Zehra
Polymer patterns are promising for many applications due to their high stability and superior chemical and physical properties. By functionalizing various surfaces with polymer patterns, it is possible to detect and prevent many common infections. Treatment of resistant bacteria with antibiotics is limited and they can spread quickly. For this reason, it was designed a surface that can prevent contamination by functionalizing polymer patterns. In the study, a polymer pattern model obtained by combining gallic acid with gold nanoparticles (GA@AuNP) synthesized through green chemistry was designed. Polymer-patterned structures were obtained on silicon wafers using Poly(ethylene glycol) (PEG) polymer and were self-assembled with GA@AuNPs. Diagnosis and inhibition of bacterial cells in a short time were demonstrated with the prepared modified PEG polymer pattern. Surface-enhanced Raman scattering effects were used to optimize the stability of surfaces patterned with self-assembled GA@Au NPs. By modification of PEG polymer patterns, a biomarker design that can be used in many different bioapplications is proposed.
Tarım işletmecilerinin çevresel sürdürülebilirlik algısı ve düzeyi
(2024) Kaya, Ender; Bayramoğlu, Zeki
Bu araştırmada tarım işletmelerinin sürdürülebilirlik algısının ve düzeyinin belirlenmesi amaçlanmıştır. Araştırma alanı olarak Konya ilinin seçilmesinde Türkiye genelinde önemli tarımsal üretim merkezlerinden biri olması belirleyici olmuştur. Çalışmanın kapsamında tabakalı tesadüfi örnekleme yöntemi kullanılmıştır. Toplamda 268 tarımsal işletme sahibiyle yüz yüze görüşülerek anket verileri derlenmiştir. Çevresel sürdürülebilirlik algı indeksinin hesaplanması için literatür verileri dikkate alınarak sürdürülebilirlik algı indeksi oluşturulmuştur. Araştırmada katılımcıların sürdürülebilirlik algıları beşli likert tipindeki ölçekle aldığı toplam puan alabileceği maksimum toplam puana oranlanarak “Sürdürülebilirlik Algı İndeksi” hesaplanmıştır. Çevresel sürdürülebilirlik düzeylerinin (uygulama/kullanma) tespit edilmesi için işletmecilerin sürdürülebilirlik düzey durumları anket verileri ile elde edilmiş olup toplam puan alabileceği maksimum puana oranlanarak “sürdürülebilirlik Düzey İndeksi” hesaplanmıştır. Birinci grupta yer alan işletmelerde sürdürülebilirlik algı indeks puanı %83,67, bu oran ikinci grupta %84,77, üçüncü grupta %89,39 ve dördüncü grupta %88,67 olarak belirlenmiştir. İşletmeler ortalaması sürdürülebilirlik indeks puanı %86,62 olarak belirlenmiştir. İşletme ölçeği büyüdükçe sürdürülebilirlik algı indeksi de artmaktadır. Araştırma sonuçlarına göre sürdürülebilirlik algı ve düzey indeksleri işletmeler ortalamasında karşılaştırıldığında sürdürülebilirlik düzey indeksinin %67,59 algı indeksinin ise %86,62 olduğu görülmektedir. Tarım işletmecilerinde sürdürülebildik algı indeksinin yüksek olması sürdürülebilirlikle ilgili konularda algılarının olduğunu fakat düzey (uygulama/kullanma) yetersiz kaldıkları görülmektedir. Tarım işletmecilerinin bilinç düzeylerinin artırılması ve eyleme geçirmek adına eğitim ve yayım çalışmalarına ağırlık verilmelidir.
Mısır Tarımında Enerji Bilançosunun Belirlenmesi (Zea Mays L.)
(2021) Dilay, Yusuf
Bu çalışmada, Türkiye’nin Karaman ili merkeze bağlı Taşkale köyünde mısır tarımında enerji bilançosunun belirlenmesi amaçlanmıştır. Denemeler Taşkale’de bulunan bir mısır üreticisinin işletmesinde gerçekleştirilmiştir. Denemelerde, enerji girdileri; insan işgücü enerjisi, makine enerjisi, dizel yakıt enerjisi, kimyasal gübre enerjisi, tohumluğun enerjisi ve sulama suyunun enerjileri olarak sınıflandırılmıştır. Üretim süresince bunların her birinin tüketimleri ayrı ayrı tespit edilerek girdi enerjileri hesaplanmıştır. Çıktı enerjisi ise, hasat edilen mısırın miktarı tespit edilerek, çıktı enerjisi hesaplanmıştır. Çalışmanın sonucunda mısır üretiminde enerji girdi ve çıktı değerleri $18029.78 MJ ha^{-1} ve 218700 MJ ha^{-1}$ olarak hesaplanmıştır. Girdi enerjileri; insan iş gücü $235.20 MJ ha^{-1} (%1.30), makine 1575.29 MJ ha^{-1} (%8.74)$, kimyasal gübreler $10910 MJ ha^{-1} (%60.51), dizel yakıt 3348.19 MJ ha^{-1} (%18.57)$, tohumluk $291.60 MJ ha^{-1}(%1.62)$ ve sulama suyu 1669.5 MJ ha-1 (%9.26) olarak hesaplanmıştır. Mısır üretiminde enerji oranı, özgül enerji, enerji üretkenliği ve net enerji üretimi sırasıyla; $12.13, 1.20 MJ kg^{-1}, 0,83 kg MJ^{-1} ve 200670.23 MJ ha^{-1}$ olarak bulunmuştur. Mısır tarımında toplam enerji girdileri içerisinde yenilenemeyen enerji girdilerinin oranın %87.82 olduğu belirlenmiştir.
EXAMINATION OF THE CORPORATE IMAGE OF FURNITURE MANUFACTURING BUSINESSES FROM THE PERSPECTIVE OF COMMERCIAL FILMS
(2023) Kırklıkçı, Ahmet Bora
Corporate image represents the positive or negative perceptions of internal and external stakeholders about a company. Corporate commercials play an important role in creating a good corporate image, which is essential for furniture manufacturing businesses to compete in the global market. In this regard, the aim of this study is to examine the corporate image of different furniture manufacturing businesses from the perspective of commercial films through personification analogies. The sample of the research consisted of the corporate commercial films of 10 furniture manufacturers with dealership systems in Türkiye. The Corporate Character Scale developed by Davies et al. (2004), which measures the image evaluations of both internal and external stakeholders through personification, was used in the study. The visuals generally used in these commercials portray similar themes, such as “Agreeableness”, “Chic” and “Enterprise”. In this regard, it was observed that image-building practices in the commercials of furniture manufacturing businesses were neither distinctive nor remarkable.
Examination of industry 4.0 awareness, perceptions, and actions of employees in furniture and board businesses
(Forest Products Society, 2024) Kırklıkçı, Ahmet Bora
Industry 4.0 (I 4.0) is a major transformation in manufacturing that is driven by the use of digital technologies. Furniture and board businesses are one of the subsectors of the forest products sector that can benefit from I 4.0. In this study, a survey was administered to 206 employees working in furniture and board businesses to understand their awareness of I 4.0, their perceptions regarding its obstacles and potential benefits and practices. The most widely recognized I 4.0 technology by employees is digital connectivity. Employees also see the potential for I 4.0 to help them implement new business models. However, the main obstacles to implementing I 4.0 are a lack of skilled workers and high costs. Employees of furniture businesses are less aware of I 4.0 than are employees of board businesses. Additionally, only a small percentage of businesses in both sectors have an I 4.0 or smart manufacturing strategy. The results of this study suggest that furniture and board businesses need to do more to raise awareness of I 4.0 and to develop strategies for implementing it. By doing so, they can improve their productivity and competitiveness in the global marketplace. This study was conducted on a relatively small sample in a limited area, so the generalizability of the results is low. © 2024
Perceptions of forest product businesses employees in Turkey regarding occupational health and safety during the COVID-19 pandemic
(IOS Press BV, 2024) Kırklıkçı, Ahmet Bora; Bayram, Serap
BACKGROUND: The COVID-19 pandemic has undeniably brought up the issue of Occupational Health and Safety (OHS) for businesses in Turkey. In this global pandemic, strategies developed to effectively address OHS risks and eliminate them with reliable, high-quality data have gained importance. OBJECTIVE: This study aimed to determine the perceptions of employees in the forest products industry in Turkey regarding the OHS during the COVID-19 pandemic. METHOD: The sample of the descriptive and analytical study consisted of a total of 371 employees in forest product businesses located in Turkey. The sample of the study was determined by the purpose-based sampling method. Data were collected both online and face-To-face from June 2022 to October 2022. The data were obtained using the Questionnaire of Employee and Business Characteristics and the Scale of Employees' Perceptions on the OHS (S-POHS) adapted by Özden (2022). Statistical analysis was performed using SPSS and calculated by descriptive analyses, pairwise comparison tests and multivariate regression analyses. RESULTS: 39.1% of the employees with a mean age of 34.12±8.78 years are high school graduates and 61.5% are workers. Significant differences were found in the S-POHS average scores of the employees in the businesses that produce paper-cardboard, have operated for less than 20 years, have a partnership structure with foreign capital and have an OHS Management System Quality Certificate (p < 0.05). CONCLUSION: While a positive OHS perception level has already been achieved in the forest products industry in business administrations and by employees, it is clear that this should not be lost and it should be prepared for the next crises by adding new applications.
An investigation of the perception of institutionalization in the furniture and board manufacturing businesses from the perspective of managers before and during the Covid-19 pandemics
(ADAMOR Toplum Araştırmaları Merkezi, 2022) Kırklıkçı, Ahmet Bora
The COVID-19 pandemic has affected businesses and business models in different ways across all industries. The forest products industry plays an important role in sustainable development not only with its unique raw material, but also because of the continuing globalization of the industry. This study was carried out in order to compare the institutionalization perceptions of the managers of 106 businesses in the furniture and board manufacturing sectors, most of which are medium-sized and family/personal ownership, before and during the COVID-19 pandemic. While the level of institutionalization perception before and during the COVID-19 pandemic is very close to the medium level in all sub-dimensions and in total, the change in the last four years is significantly lower in all sub-dimensions during the pandemic. This result showed that the COVID-19 pandemic seriously affected the institutionalization processes of the furniture and board manufacturing businesses in terms of consistency, formalization, transparency and accountability. The results of this study revealed that the institutionalization of the furniture and board manufacturing sectors show serious changes according to the changing conditions and it is important for managers to take measures to adapt to these changes, taking into account different crisis scenarios that will result in expansion and recession.
Kurumsallaşma sürecindeki orman ürünleri sanayi işletmelerinin COVID-19 pandemisinde kriz yönetim planlamaları
(Isparta Uygulamalı Bilimler Üniversitesi Orman Fakültesi, 2022) Kırklıkçı, Ahmet Bora; Gedik, Tarık
Ekonomik alandaki etkisi özellikle 2020 yılının üçüncü çeyreğinden sonra çok daha fazla hissedilmeye başlanan COVID-19 pandemisinin her sektörde olumsuz bir yönü ortaya çıkmıştır. Kurumsallaşmış işletmeler diğer işletmelere göre pandemiden daha az etkilenmişlerdir. Yapılan bu çalışma ile belli bir düzeyde kurumsallaşmış ya da kurumsallaşma yolunda olan orman ürünleri sanayi işletmelerinin COVID-19 sürecindeki kriz yönetim planlamaları analiz edilmeye çalışılmıştır. İşletme yöneticileri ile bireysel derinlemesine görüşme yöntemi kullanılarak elde edilen veriler birleştirilmiş kalitatif araştırma raporlama kriterlerine uygun olarak kodlanmış, betimlenmiş, analiz edilerek yorumlamıştır. On dört farklı orman ürünleri sanayi işletmesinden elde edilen sonuçlara göre yöneticiler kriz için hazırlıklı olunması gerektiğini tanımlamışlar ve bu hazırlık durumunu da üst yönetimin yapması gerektiğini belirtmişlerdir. Yöneticilere göre pandemi süreci tüketici davranışlarında büyük değişikliklere neden olmuştur. Yöneticiler bu dönemin en çok işgücü kaybına ve iş ve pazar kaybına (ekonomik kayıp) neden olduğunu belirtmişlerdir. İşletme yöneticilerine COVID-19 pandemisinin etkilerini en aza indirmek için risk değerlendirmeleri yapmaları, acil durum planları hazırlamaları ve kriz yönetim modelleri geliştirmeleri önerilmektedir.
Determination of wear resistance of nickel-carbide alloy coating by atmospheric plasma spray technique on 30MnB5 alloy steel used in cultivator blades
(Institute of Physics, 2023) Dilay, Yusuf
The wear that occurs during tillage in agricultural machinery shortens the material’s life and increases costs. This study investigated the microstructure and morphology of cultivator blades coated with atmospheric plasma spray (APS) process and tested under real field conditions using OM, SEM, EDX, and XRD techniques. Abrasion tests were conducted in an area of 110 hectares and under two different soil moisture conditions. Material properties were investigated using hardness and surface roughness tests. The coating process was successful both mechanically and metallurgically by applying Ni-WC ceramic-metal (cermet) powder on the surface of 30MnB5 steel substrate with APS. The oxide and carbide structures detected on the coating surface by XRD studies resulted in a 1.5 times higher coating hardness. Due to the hard carbide phases in the coating matrix, the grooves on the wear surfaces were shallow and narrow compared to the substrate sample. The surface roughness values of the coated sample were approximately two times higher than the substrate sample. Due to the microstructure and high hardness, the coated specimen experienced three times less abrasion in both humidity conditions. The APS method can be successfully applied to the machined parts of tillage machines. In the near future, the cost of agricultural production can be reduced, and the environment can benefit from this method. In conclusion, this study presents a feasible approach to improving the wear resistance of Ni-WC ceramic-metal alloy by plasma spray coating under real field conditions.
The impact of workplace spirituality on perceived institutionalization and perceived performance
(Karamanoğlu Mehmetbey Üniversitesi, 2022) Kırklıkçı, Ahmet Bora
This study was planned to analyze the impacts of workplace spirituality on perceived institutionalization and perceived performance. Based on data from 190 employees in the industrial zone of a metropolitan city in Türkiye in 2021, simple linear regression analysis was utilized to determine the relationships and effects in the model. Engaging work sub-dimension proved 27% effective on perceived institutionalization (R=0.518; p<0.001) and 22% effective on perceived performance (R=0.471; p<0.001). The relationships are moderately and high level significantly. Businesses are able to reinforce their institutionalization efforts by supporting workplace spirituality. Especially, engaging work is positively influenced by approaches that are fair, consistent and that value employees.
Determination of abrasion resistance of Fe28Cr5C1Mn coating applied to 30MnB5 boron alloy cultivator blades via electric arc spray
(SAGE Publications Ltd., 2022) Güney, Bekir; Dilay, Yusuf
The poor abrasive wear behavior of agricultural machinery affects the farmers all over the world, rendering their activities more inefficient and negatively affecting their productivity. Therefore, innovation in the manufacture of soil cultivation machinery and the selection of wear-resistant materials has been of great importance. Recently, boron alloys, in particular, have been used in the manufacture of machinery parts that work the soil. The aim of this was to investigate the behavior of the blades of the machines widely used in soil cultivation in agricultural production following a surface treatment technique. For this purpose, the blades made of 30MnB5, a material widely used in the production of cultivator blades, were used as substrate samples in the trials as well as blades of the same substrate coated with Fe28Cr5C1Mn alloy wire via the electric arc spray technique. The morphologies and structures of the uncoated and coated samples were comprehensively analyzed by light microscopy, scanning electron microscopy, energy dispersive spectrometry and X-ray diffraction. In addition, their microhardness, porosity, and surface roughness properties were assessed separately before and after plowing. These prepared blades were tested under in the same conditions by plowing the same field at two different soil moisture. Although the weight loss was measured as 9.4 g and 5.4 g in the uncoated and in the coated sample at 9% moisture level, respectively, the weight losses were at 14% humidity level were 10.6 g and 5.9 g in the uncoated and coated samples, respectively. Although the amount of wear increased with increasing humidity levels in both groups, the mass wear loss in cultivator blades coated with Fe25Cr5C1Mn alloy wire was found to be lower in all trials. The results suggest that coating the cultivator blades using electric arc spray would increase agricultural productivity and reduce factors that cause environmental pollution.
Effect of cutting parameters on surface roughness and cutting forces in hard turning of 1.2367 hot work tool steel
(Gazi Üniversitesi, 2022) Erdem, Sümeyye; Özdemir, Mustafa; Rafighi, Mohammad; Yavuz, Mehtap
In this study, the effects of different cutting parameters on surface roughness (Ra) and cutting force were investigated in dry hard turning of 1.2367 hardened (55 HRC) hot tool steel. In this experimental study, the Taguchi method was used for the design of experiments, and a constant cutting depth; three different cutting speeds, and three different feed rates were selected as cutting parameters. The effects of cutting parameters on surface roughness and cutting forces were evaluated by performing an analysis of variance (ANOVA). According to the results, it was observed that the surface roughness value increased depending on the increase in the feed rate. On the other hand, the influence of cutting speed on the surface roughness was negligible. It was seen that the most effective parameter on the radial force (Fy), tangential force (Fy), and feed force (Fz) was the feed rate.
Wear properties and microstructure of WC-10Co-4Cr powder coating applied to cultivator blades via hvof
(World Scientific, 2022) Dilay, Yusuf; Güney, Bekir; Özkan, Adem
Abrasion of cultivator equipment parts working in the soil causes serious losses if necessary precautions are not taken. The cultivator blades used to plow the soil in agricultural production wear out over time. In order to reduce this wear, the hardness and wear resistance of the material should be increased first. In this study, some of the 30MnB5 cultivator blades were heat-treated and some were coated with HVOF technique. The samples were obtained by plowing the soil at 15-cm working depth and 5.4-kmh-1 forward speed in two fields with different soil moisture contents. As a result of the experiments, abrasion losses and surface deformation of the blade material were observed and the effect of soil moisture on wear was also determined. After the treatment of 49.5daa (decare) with soil at 9% moisture content, the heat-treated 30MnB5 sample was worn 5.6 g, and the sample coated with WC-10Co-4Cr was worn 3.2g. Abrasions at 14% soil moisture were 6.3 g and 3.6g, respectively. It was observed that the coated material was less corroded than the heat-treated material. While the results obtained will contribute to the prevention of economic losses, the release of metals into the soil will also be prevented.
Identification of durum wheat grains by using hybrid convolution neural network and deep features
(Springer Science and Business Media Deutschland GmbH, 2022) Çelik, Yüksel; Başaran, Erdal; Dilay, Yusuf
Convolution neural network (CNN) is a deep learning technique widely used in object identification and classification. One of the objects that are identified and classified is grain products. We proposed a hybrid CNN model to identify the dataset obtained from 41 different durum wheat grains in the present study. A new deep feature set was created in the proposed model by combining Logits and Pool10 feature layers of the CNN models MobileNetV2 and SqueezeNet. This new feature set has been classified into the support vector machines (SVM) input. As a result of the experimental tests performed with the proposed hybrid model on the durum wheat data set, an accuracy rate of 91.89% was obtained. In addition, within the scope of this study, a unique durum wheat data set was publicly presented to researchers and added to the literature.
Corrosion characteristics of plasma spray, arc spray, high velocity oxygen fuel, and diamond jet coated 30MnB5 boron alloyed steel in 3.5 wt.% NaCl solution
(De Gruyter Open Ltd., 2021) Güney, Bekir; Dilay, Yusuf; Solomon, M. M.; Gerengi, Hüsnü; Özkan, Adem; Yıldız, Mesut
30MnB5 boron alloyed steel surface is coated using different coating techniques, namely 60(Ni-15Cr-4.4Si-3.5Fe-3.2B 0.7C)-40(WC 12Co) metallic powder plasma spray, Fe-28Cr-5C-1Mn alloy wire arc spray, WC-10Co-4Cr (thick) powder high velocity oxy-fuel (HVOF), and WC-10Co-4Cr (fine) diamond jet HVOF. The microstructure of the crude steel sample consists of ferrite and pearlite matrices and iron carbide structures. The intermediate binders are well bonded to the substrate for all coated surfaces. The arc spray coated surface shows the formation of lamellae. The cross-section of HVOF and diamond jet HVOF coated surfaces indicates the formation of WC, W2C Cr, and W parent matrix carbide structures. The corrosion characteristic of the coated steel has been investigated in 3.5 wt.% NaCl solution using electrochemical impedance spectroscopy (EIS), scanning electron microscope (SEM), and energy dispersive X-ray spectroscopy (EDAX) techniques. The results reveal that the steel corroded in the medium despite the coatings. However, the extent of corrosion varies. HVOF coated sample demonstrated the highest corrosion resistance while arc spray coated sample exhibited the least. EDAX mapping reveals that the elements in the coatings corroded in the order of their standard electrode potential (SEP). Higher corrosion resistance of HVOF coated sample is linked to the low SEP of tungsten.
Determining the Energy Use Efficiency (EUE) and Greenhouse Gas Emissions (GHG) of chickpea production
(Parlar Scientific Publications (P S P), 2021) Dilay, Yusuf
In this research, energy use efficiency (EUE), specific energy (SE), energy productivity (EP), net energy (NE), energy types, GHG emission and GHG ratio computations were determined. This research was conducted during the 2017-2018 production season in Karaman province of Turkey. Trials and research data computations include the 2017-2018 production season. Energy input (EI) in chickpea production were computed as 8223.94 MJ ha(-1), energy output (EO) was computed as 7686.88 MJ ha(-1). In chickpea production, 46.35% of the energy inputs consists of diesel fuel energy (3812.19 MJ ha(-1)). 22.39% consists of chemical fertilizers energy (1841.40 MJ ha(-1)), 18.84 % consists of seed energy (1549.04 MJ ha(-1)), 7.24% consists of machinery energy (595.51 MJ ha(-1)), 3.37% consists of chemicals (fungicide, insecticide) energy (276.84 MJ ha(-1)) and 1.81% consists of human labour energy (148.96 MJ ha(-1)). EUE, SE, EP and NE in chickpea production were computed as 0.93, 5.56 MJ kg(-1), 0.18 kg MJ(-1) and -537.06 MJ ha(-1,) respectively. The total energy input used in chickpea production can be classified as 48.17% direct, 51.83% indirect, 20.65% renewable and 79.35% non-renewable. Total GHG emissions were computed as 1073.72 kgCO(2)-eqha(-1) for chickpea production with the greatest input part for seed use (60.40%). The seed use followed up diesel fuel use (17.40%), nitrogen use (7.66%), phosphorous use (5.06%), labour use (4.95%), machinery use (3.94%), fungicide use (0.35%) and insecticide use (0.24%), respectively. Additionally, GHG ratio value was computed as 0.74 kgCO(2)-eqkg(-1) in chickpea production.
Microstructure and wear properties of WC-10Co-4Cr coating to cultivator blades by DJ-HVOF
(Ice Publishing, 2021) Dilay, Yusuf; Güney, Bekir; Özkan, Adem; Öz, Ali
The friction force in mechanical systems not only reduces their efficiency but also causes wear in the machine components, resulting in financial losses. As in every sector, in agricultural production, the problem of abrasion, particularly in soil tillage, is extremely important. Studies have been conducted examining the different methods for minimizing wear on tillage machinery. In this study, the cultivator blades of a boron-alloyed 30MnB5 steel substrate were coated with WC-10Co-4Cr ceramic powder by way of the Diamond Jet high-velocity oxygen-fuel (DJ-HVOF) technique. The microstructure of the sample and its wear properties under field conditions were then investigated. The microstructure, porosity, hardness, surface roughness and wear properties of the samples were revealed. The coating was observed to be well bonded, both mechanically and metallurgically, and the hardness of the coating was three times higher than that of the uncoated substrate material. In the field trials, the wear was found to be six times lower due to the hardness of the WC-10Co-4Cr coating and the hard carbide phases in its microstructure. As a result, the HVOF coating was shown to minimize wear, which is a big problem in tillage machinery. This can extend the economic life of machinery and make agricultural production more efficient.

Güncel Gönderiler