Yazar "Kayişoğlu, Birol" için Ziraat Fakültesi Koleksiyonu listeleme
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Determination of the Effects of Rotation Speed and Forward Speed on Combine Harvester Driven Stalk Chopper Assembly Operating Performance
Dalmış, İbrahim Savaş; Kayişoğlu, Birol; Bayhan, Yılmaz; Toruk, Fulya; Durgut, Figen Tasci (Ankara Univ, Fac Agr, 2013)In this research, it was investigated how the combine harvester forward speed and the rotation of blades during sunflower harvest affect chopping efficiency and fuel and power consumption of the chopping apparatus placed ... -
Development of a chopper unit for chopping of sunflower stalk during harvesting by combine harvester
Dalmış, İbrahim Savaş; Kayişoğlu, Birol; Bayhan, Yılmaz; Ülger, Poyraz; Toruk, F.; Durgut, F. (2013)The aim of this research was the development of a chopping unit, which is placed under the header of a combine harvester. In this way, stalks can be chopped during harvesting and this will be useful in respect to saving ... -
Effects of compaction pressure on the temperature distribution in bunker type silage silo
Tan, Fulya; Kayişoğlu, Birol; Okur, Ersen (Indian Counc Agricultural Res, 2018)The aim of the research was to determine effects of compaction pressure on temperature distribution in the silage material in bunker silo. The pressure measurement system developed within the scope of this research was ... -
The evaluation of alternative stalk chopping methods in sunflower farming
Gönülol, Erkan; Dalmış, İbrahim Savaş; Kayişoğlu, Birol; Bayhan, Yılmaz; Kocabıyık, H. (Academic Journals, 2009)In this study, the alternative chopping methods were compared in sunflower farming. After harvesting sunflower stalk was chopped with three different methods by using three different stalk chopper machines. Two different ... -
Kanola Bitkisinin Parçalanmaya Yönelik Bazı Mekanik Özelliklerinin Belirlenmesi
Kanola tarımında sapların tarladan uzaklaştırılması veya parçalanması hasat esnasında karşılaşılan önemli problemlerden biridir. Bu çalışmada kanola bitkisinin hasadına yönelik kesme ve eğilme dayanımı belirlenmiştir. Bu ... -
Prediction of Photovoltaic Panel Power Outputs Using Time Series and Artificial Neural Network Methods
Solar energy is one of the renewable energy sources that has been in high demand in the last decades. With theincreasing penetration of photovoltaic (PV) systems in around the world, accurate estimation of the power outputof ...