Turhan, Cihan

Turhan, Cihan

Name Variants

Cihan, Turhan
T.,Cihan
Turhan, Cihan
C., Turhan
T., Cihan
Turhan, C.
C.,Turhan
Turhan,C.
Turhan C.

Job Title

Doçent Doktor

Email Address

cihan.turhan@atilim.edu.tr

Scopus Author ID

56011415300

Full item page

Scholarly Output

35

Articles

22

Citation Count

264

Supervised Theses

5 Scholarly Output Search Results

Now showing 1 - 10 of 35

Citation Count: 8
The Influence of Meteorological Parameters on PM₁₀: A Statistical Analysis of an Urban and Rural Environment in Izmir/Turkiye
(Mdpi, 2023) Turhan, Cihan; Turhan, Cihan; Atalay, Ali Serdar; Gokcen Akkurt, Gulden; Energy Systems Engineering
Air pollution is a substantial menace, especially in industrialized urban zones, which affects the balance of the environment, life of vital organisms and human health. Besides the main causes of air pollution such as dense urbanization, poor quality fuels and vehicle emissions, physical environment characteristics play an important role on air quality. Therefore, it is vital to understand the relationship between the characteristics of the natural environment and air quality. This study examines the correlations between the PM10 pollutant data and meteorological parameters such as temperature (T-air), relative humidity (RH), and wind speed (WS) and direction (WD) under the European Union's Horizon 2020 project. Two different zones (Vilayetler Evi as an urban zone and Sasali Natural Life Park as a rural zone) of Izmir Province in Turkiye are used as a case study and the PM10 data is evaluated between 1 January 2017 and 31 December 2021. A one-tailed t-test is used in order to statistically determine the relationships between the PM10 pollutant data and meteorological parameters. As a further study, practical significance of the parameters is investigated via the effect size method and the results show that the RH is found to be the most influencing parameter on the PM10 for both zones, while T-air is found to be statistically non-significant.
Citation Count: 31
A comprehensive evaluation of the most suitable HVAC system for an industrial building by using a hybrid building energy simulation and multi criteria decision making framework
(Elsevier, 2021) Baç, Uğur; Alaloosi, Khalid Abdulwahab Mohamed Saed; Turhan, Cihan; Energy Systems Engineering; Industrial Engineering
Great demand for energy and growing trend in the use of energy-efficient HVAC systems force researchers to focus on the importance of choosing the most appropriate HVAC system for industrial buildings during design process. Therefore, developing a model to select the most suitable HVAC system is vital for industrial buildings. To this aim, this study provides a comprehensive evaluation of different HVAC systems for an industrial building by using hybrid multi criteria decision making (MCDM) method. An industrial building in Ankara/Turkey is selected as a case building. Eleven HVAC systems are evaluated based on twenty seven criteria, which are determined as a result of extensive literature research, and are grouped under six categories including ergonomic, environmental, reliability, technical, and economical aspects. A hybrid application of building energy simulation (BES) integrated modified Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Additive Sum Product Assessment (WASPAS) framework is developed for supporting the decision making process. The novelty of the study is integrating the objective results of a well-calibrated dynamic BES tool with subjective criteria which are collected from expert opinions by applying questionnaires with face-to-face interview method. The results of MCDM framework and sensitivity analysis showed that the water-source heat pump is the best and suitable alternative for the industrial building. The outcome of this study would benefit the HVAC engineers and specialists in order to design the best HVAC systems in industrial buildings while providing an insight into different criteria. Moreover, key contribution to the literature is the usage of hybrid MCDM framework integrated with BES tool in the building sector.
Citation Count: 6
Cutting force prediction in ultrasonic-assisted milling of Ti-6Al-4V with different machining conditions using artificial neural network
(Cambridge Univ Press, 2021) Namlu, Ramazan Hakkı; Turhan, Cihan; Turhan, Cihan; Kilic, S. Engin; Lotfısadıgh, Bahram; Kılıç, Sadık Engin; Energy Systems Engineering; Mechanical Engineering; Manufacturing Engineering
Ti-6Al-4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti-6Al-4V is a material with extremely low machinability characteristics; thus, conventional machining methods are not appropriate to machine such materials. Ultrasonic-assisted machining (UAM) is a novel hybrid machining method which has numerous advantages over conventional machining processes. In addition, minimum quantity lubrication (MQL) is an alternative type of metal cutting fluid application that is being used instead of conventional lubrication in machining. One of the parameters which could be used to measure the performance of the machining process is the amount of cutting force. Nevertheless, there is a number of limited studies to compare the changes in cutting forces by using UAM and MQL together which are time-consuming and not cost-effective. Artificial neural network (ANN) is an alternative method that may eliminate the limitations mentioned above by estimating the outputs with the limited number of data. In this study, a model was developed and coded in Python programming environment in order to predict cutting forces using ANN. The results showed that experimental cutting forces were estimated with a successful prediction rate of 0.99 with mean absolute percentage error and mean squared error of 1.85% and 13.1, respectively. Moreover, considering too limited experimental data, ANN provided acceptable results in a cost- and time-effective way.
Kullanıcıların ısıl konforu ile duygu durumları arasındaki ilişkinin belirlenmesi ve deneysel veri odaklı modellenmesi
(2022) Turhan, Cihan; Turhan, Cihan; Alkan, Neşe; Energy Systems Engineering
Kişiler yaşamları boyunca zamanlarının %90'ını iç mekanlarda geçirmektedir. Bu sebeple iç ortamlarda kişilerin termal konforunun sağlanması büyük önem taşımaktadır. Bununla beraber termal konforun sağlanabilmesi termal konforun doğru ölçülmesi ile mümkündür. Ancak termal konfor ölçümünün doğruluğu büyük bir sorun teşkil etmektedir. Bu alanda gerçekleştirilen çalışmalar ölçülen termal konfor değerleri ile kişilerin termal duyumu arasında önemli farkların bulunduğunu ortaya koymuştur. Buna ek olarak araştırmacılar çalışmalarında, bu farkın önemli nedenleri arasında olduğu düşünülen, kişilerin psikolojisinin termal duyum üzerindeki etkisini araştırmışlardır. Çalışmalar bu alanda önemli mesafeler kat etmiş olsa da yalnızca insan bedeninin psikolojik etkenler altındaki fiziksel tepkilerini incelemekten ve aradaki bağlantının varlığını kanıtlamaktan öteye gidememişlerdir. Öte yandan kişinin duygu durumunun insan psikolojisinin önemli göstergeleri arasında olduğu bilinmektedir. Bu nedenle bu tez, kişilerin duygu durumları ile termal duyumu arasındaki ilişkiyi araştırma ve Duygu-durum Düzeltme Faktörü (DDF) adı verilen yeni bir metot sunmayı amaçlamaktadır. Bu ilişkinin açığa çıkarılması için Atılım Üniversitesi'nde bulunan bir çalışma salonunda 16 Ağustos 2021 ve 15 Nisan 2022 tarihleri arasında bir dizi deney gerçekleştirilmiştir. Duygu durum ve termal duyum arasındaki ilişkinin belirlenebilmesi için deneyler süresince Tahmini Ortalama Oy (PMV) ölçümleri ile birlikte Gerçek Ortalama Oy (AMV) ve Duygu Durum Profili (POMS) anketi kullanılmıştır. Elde edilen sonuçlar kişilerin termal duyumlarını en fazla etkileyen duygu durum sınıflarının çok karamsar, çok iyimser ve karamsar duygu durum sınıfları olduğunu ortaya çıkartmış ve ölçüm sonuçlarından daha sıcak hissettikleri ortaya koymuştur. Ayrıca DDF değerleri çok karamsar, çok iyimser ve karamsar duygu durum sınıfları için sırasıyla -0.125, -0.114 ve -0.075 olarak hesaplanmıştır.
Citation Count: 7
A Novel Data-Driven Model for the Effect of Mood State on Thermal Sensation
(Mdpi, 2023) Özbey, Mehmet Furkan; Ozbey, Mehmet Furkan; Turhan, Cihan; Akkurt, Gulden Gokcen; Energy Systems Engineering; Mechanical Engineering
Thermal comfort has an important role in human life, considering that people spend most of their lives in indoor environments. However, the necessity of ensuring the thermal comfort of these people presents an important problem, calculating the thermal comfort accurately. The assessment of thermal comfort has always been problematic, from past to present, and the studies conducted in this field have indicated that there is a gap between thermal comfort and thermal sensation. Although recent studies have shown an effort to take human psychology into account more extensively, these studies just focused on the physiological responses of the human body under psychological disturbances. On the other hand, the mood state of people is one of the most significant parameters of human psychology. Thus, this paper investigated the effect of occupants' mood states on thermal sensation; furthermore, it introduced a novel "Mood State Correction Factor" (MSCF) to the existing thermal comfort model. To this aim, experiments were conducted at a mixed-mode building in a university between 15 August 2021 and 15 August 2022. Actual Mean Vote (AMV) and Profile of Mood States (POMS) were used to examine the effect of mood state on thermal sensation. The outcomes of this study showed that in the mood states of very pessimistic and very optimistic, the occupants felt warmer than the calculated one and the MSCFs are calculated as -0.125 and -0.114 for the very pessimistic and very optimistic mood states, respectively. It is worth our time to note that the experiments in this study were conducted during the COVID-19 Global Pandemic and the results of this study could differ in different cultural backgrounds.
Citation Count: 5
An Integrated Decision-Making Framework for Mitigating the Impact of Urban Heat Islands on Energy Consumption and Thermal Comfort of Residential Buildings
(Mdpi, 2023) Turhan, Cihan; Atalay, Ali Serdar; Akkurt, Gulden Gokcen; Energy Systems Engineering
Urban heat island (UHI) is a zone that is significantly warmer than its surrounding rural zones as a result of human activities and rapid and dense urbanization. Excessive air temperature due to the UHI phenomenon affects the energy performance of buildings and human health and contributes to global warming. Knowing that most of the building energy is consumed by residential buildings, therefore, developing a framework to mitigate the impact of the UHI on residential building energy performance is vital. This study develops an integrated framework that combines hybrid micro-climate and building energy performance simulations and multi-criteria decision-making techniques. As a case study, an urban area is analyzed under the Urban GreenUP project funded by the European Union's Horizon 2020 Programme. Four different strategies to mitigate the UHI effect, including the current situation, changing the low-albedo materials with high-albedo ones, nature-based solutions, and changing building facade materials, are investigated with a micro-climatic simulation tool. Then, the output of the strategies, which is potential air temperature, is used in a dynamic building energy simulation software to obtain energy consumption and thermal comfort data of the residential buildings in the case area. Finally, a multi-criteria decision-making model, using real-life criteria, such as total energy consumption, thermal comfort, capital cost, lifetime and installation flexibility, is used to make a decision for decreasing the UHI effect on residential energy performance of buildings. The results showed that applying NBSs, such as green roofs and changing existing trees with high leaf area density ones, have the highest ranking among all mitigation strategies. The output of this study may help urban planners, architects, and engineers in the decision-making processes during the design phase of urban planning.
Citation Count: 0
Ontology-Based Semantic Analysis of Software Requirements: A Systematic Mapping
(Institute of Electrical and Electronics Engineers Inc., 2022) Turhan, Çiğdem; Turhan,C.; Oğuz, Zeynep Yaren; Turhan, Cihan; Software Engineering; Energy Systems Engineering
Each stage in the software development lifecycle has its own requirements, validation criteria, and output. Requirement analysis, which is one of the initial stages of the life cycle, can be considered as the most important stage of a project. Incorrectly defined, analyzed, and incorporated, requirements can lead to errors or even project failure in the later stages of the project. Considering the existence of software products in almost every field today, we can say that different requirements have arisen in a wide variety of fields. The use of appropriate technologies can yield much more efficient results than manual analysis of these relatively large numbers of different requirements. One of them is ontology-based approaches. In this research, the use of ontologies in software requirement analysis has been investigated. Systematic mapping was chosen as the research method. At the end of the study, it was found that technologies that adopt an ontology-based approach increase efficiency and accuracy in software requirements analysis. © 2022 IEEE.
Citation Count: 12
Gender inequity in thermal sensation based on emotional intensity for participants in a warm mediterranean climate zone
(Elsevier France-editions Scientifiques Medicales Elsevier, 2023) Özbey, Mehmet Furkan; Ozbey, Mehmet Furkan; Turhan, Cihan; Energy Systems Engineering; Mechanical Engineering
The deficiencies of the one of the most preferred conventional thermal comfort models, the Predicted Mean Vote/ Percentage of Predicted Dissatisfied (PMV/PPD) method have emerged over time since the model does not take psychological parameters such as personal traits, mood states and adaptation into account. Therefore, re-searchers have focused on Adaptive Thermal Comfort models that integrate human behaviours into the model for better prediction of thermal comfort. In addition to the influence of the behaviours of occupants, thermal comfort may be evaluated as a subjective term, thus, the effect of one of the psychological parameters, current mood state, on thermal sensation cannot be ignored for predictions. Although, the effect of current mood state on thermal sensation is a vital concept, the findings of the studies are not effective and comprehensive in the literature. For this reason, the aim of this study is to examine the relationship between current mood state and thermal sensation in gender difference aspect. Therefore, a series of experiments were conducted in a university study hall between August 16th, 2021 and August 1st, 2022. The current mood states of the participants were evaluated with the Profile of Mood States (POMS) questionnaire and the results were represented by a novel approach called Emotional Intensity Score (EIS). One tailed t-test was applied for investigating the relationship between the EIS and the thermal sensation. Findings of the research showed that a significant association exists between the EIS and thermal sensation for male participants while no relationship was found for female.
Citation Count: 0
Investigation of the Relationship between Tension Level and Thermal Sensation. A Case Study of University Study Hall
(EDP Sciences, 2023) Özbey, Mehmet Furkan; Alkan, Neşe; Turhan, Çiğdem; Turhan, Cihan; Mechanical Engineering; Department of Psychology; Software Engineering; Energy Systems Engineering
The adaptive thermal comfort model steps forth against Fanger's Predicted Mean Vote/ Percentage of Dissatisfied model because of considering the psychological and behavioural adjustments in addition to environmental and personal parameters in mixed-mode and non-air-conditioned buildings. Among behavioural and psychological adjustments, human behaviour is more investigated than psychological adjustments in aspects of thermal sensation and comfort in the studies. To meet the deficit in the literature on how psychological adjustments affect thermal sensation, an experimental investigation was conducted to explore the effects of tension level on the Thermal Sensation Votes (TSV) of the students. Profile of Mood States (POMS) questionnaire was used to determine the tension level of the students. Experiments were conducted in a university study hall which is in the warm-summer Mediterranean climate (Csb) zone according to Köppen-Geiger Climate Classification. A total of 1159 students participated in the study, and the relation between the tension level and TSVs of the students were investigated for each gender. To test the associations between the nine quantitative subscales of tension level and the TSV, Pearson's correlation coefficient was computed. Based on results, "anxious"were considerable for the TSVs of both genders where the p-values were <0,001 for male and 0,044 for female students. In addition, while "shaky"(p=0,001) and "uneasy"(p<0,001) were found significant for the TSVs of male, "nervous"(p=0,013) were discovered noteworthy for the TSVs of the female students. © The Authors, published by EDP Sciences, 2023.
Citation Count: 2
Utilization of Online Collaborative Tools in Software Engineering: An Empirical Study on Review Meetings
(Institute of Electrical and Electronics Engineers Inc., 2021) Turhan, Çiğdem; Turhan,C.; Turhan, Cihan; Hacaloğlu, Tuna; Software Engineering; Energy Systems Engineering; Information Systems Engineering
Software development involves a significant amount of team effort where collaboration and communication of the team members are crucial. The team meetings are core activities in all stages of the software development process. Even though these meetings often are conducted face-to-face (F2F) with a lackof technology utilization, changing global conditions such as the COVID-19 pandemic require other solutions urgently without interrupting the software development schedule. For this purpose, online collaborative tools provide new opportunities for software teams to work together avoiding waste in time and resources and the relevant literature is immature. This study aims to assess the factors affecting the integration of online collaborative tools to SE practices with a special reference to review meetings. For this purpose, a sample of 73 SE sophomore and junior students who are future software professionals participated in experimental review meetings based on predefined scenarios. The findings indicate that the utilization of OCT's has positive effects on the participants' actual performance and improves the interaction between team members compared to F2F meetings. © 2021 IEEE

Turhan, Cihan

Name Variants

Job Title

Email Address

ORCID ID

Scopus Author ID

Turkish CoHE Profile ID

Google Scholar ID

WoS Researcher ID

Scholarly Output

35

Articles

22

Citation Count

264

Supervised Theses

5

Filters

Settings

Sort By

Results per page

Scholarly Output Search Results