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Hasan Koten

Istanbul Medeniyet University Turkey

Prof. Dr. Hasan Koten obtained a Ph.D. with honors from the Mechanical Engineering Department, Marmara University, Turkey. During his Ph.D. study, he was a visiting scholar at the Center for Automotive Research, The Ohio State University, USA. He was also a researcher for the first full geometry engine design project of The Scientific and Technological Research Council of Turkey (TUBITAK). He was awarded first place by the TÜBİTAK 2238 – Entrepreneurship and Innovation Competition Program. In 2018, he was a post-doctorate researcher at the College of Engineering, Design and Physical Sciences (CEDP), Brunel University London. He has led several projects, supervised MSc and PhD theses, and presented more than 150 conference proceedings. He has also published around 100 journal articles. He was a visiting professor at the Clean Combustion Research Center (CCRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia, and the University of Applied Sciences, Germany. He has many patents in the field of combustion engines. He is the head of the Mechanical Engineering Department, Istanbul Medeniyet University, Turkey. Dr. Koten participates in Turkey’s largest TÜBİTAK-funded project on the production of 400-HP, 16- and 8-cylinder engines.

2chapters authored

Latest work with IntechOpen by Hasan Koten

This book discusses the current technology and future status of diesel engines. While gasoline engines are preferred for speed and jet engines, diesel engines are widely used in vehicles and machinery that require torque, such as ships, trains, tanks, unmanned ariel vehicles (UAVs), and heavy-duty vehicles. Some recent research on global climate change has focused on obtaining zero carbon, zero emissions, and decarbonization via clean combustion technologies. For this reason, restrictive emission regulations have forced engine manufacturers and research centers to turn to different technologies to achieve clean combustion in diesel engines. This book focuses on different combustion technologies, from artificial intelligence applications in diesel engines to alternative fuels. It discusses the roles of artificial intelligence in the design of diesel engines, the use of different fuels in diesel engines, and the effects of these on the performance and emission values of diesel engines. Solving the challenge of hydrogen storage in hydrogen-fed diesel engines will open a new era for internal combustion engines. In particular, the use of hydrogen fuel produced by the reaction of chemical ingredients with water in diesel engine cycles will have a significant impact on the industry. This book, which brings together the latest studies on clean combustion technologies, is an interesting resource for both industry and research centers.

Diesel Engines

Diesel Engines

Edited by Hasan Koten

Chapters authored

Compressed Bio Gas (CBG) in Diesel Engine

By Hasan Köten

In this chapter, as an alternative to conventional engines, compressed biogas (CBG)-fueled compression ignition (CI) engine was evaluated. Biogas fuel is considerably economic due to the local product fuel compared to that of CNG and LPG fuels for many countries. In addition, due to the higher octane rate, biogas is considerably adaptable for the diesel engines. In this issue, CBG diesel-fueled engine was investigated using full geometry 3D computational fluid dynamics (CFD) simulations including intake and exhaust ports were used in optimization process to get the optimum design parameters of the CBG-diesel engine. Usage of CBG fuel in the optimized CBG engine without any constructive change in cylinder block will considerably decrease the cost. During the engine design, one-dimensional (1D) and three-dimensional (3D) CFD codes and multi-objective optimization code were employed by coupling codes. CBG and diesel fuels were defined as leading reactants using user-defined code in dual-fuel diesel engine modeling. CBG and diesel mass flow rates, start of pilot diesel fuel injection, compression ratio, valve timing, and engine speed were defined as input variables in different engine loads and evaluated about 20,000 cases to define the proper operating conditions. CBG-diesel engine and significantly lower NOx emissions were emitted under dual-fuel operation for all cases compared to single-fuel mode at all engine load conditions. Moreover, CBG-diesel engine provided superior performance in reductions of NOx and particulate matter (PM) emissions.

Part of the book: Diesel and Gasoline Engines

Artificial Intelligence in Diesel Engines

By Hasan Koten and Mohammad Mostafa Namar

The use of artificial intelligence in different parts of human life is becoming inevitable and it is expected that in the near future, the range of artificial intelligence applications will include all service, industrial, research, and educational activities. Providing a solution or performance enhancement in research and industrial activities, considering that these activities contain lots of dependent parameters with formulated/non-formulated correlations, is always a challenge for researchers. The recent approach of researchers in using statistical data and applying techniques based on artificial intelligence is a promising solution that provides the desired answers more quickly and accurately. The automobile industry and internal combustion engines have also benefited from the advantages of artificial intelligence in order to improve their performance and efficiency. Among the most important developments and achievements of this approach, we can mention real-time modeling, optimization and intelligent control, new fuel combinations, fault detection systems, and self-driving vehicles. Therefore, in this chapter, the recent research and industrial achievements of diesel engines due to the use of artificial intelligence techniques will be discussed.

Part of the book: Diesel Engines

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