Maden Mühendisliği BölümüMaden Mühendisliği Bölümüne ait yayınlar içerir.https://hdl.handle.net/11630/66302024-03-28T23:50:54Z2024-03-28T23:50:54ZDoğal taşların dairesel testereli kesiminde birim enerjinin kesim ve ortam parametrelerinden kestirimiBayram, Fatihhttps://hdl.handle.net/11630/83852021-06-12T08:35:56Z2020-01-01T00:00:00ZDoğal taşların dairesel testereli kesiminde birim enerjinin kesim ve ortam parametrelerinden kestirimi
Bayram, Fatih
Doğal taş işletmeciliği ve işlemeciliği, ülkemiz maden ihracatı için önemli sektörlerden biridir. Bu sektörde uluslararası rekabetin sürdürülebilir olması kaynakların verimli kullanımına bağlıdır. Doğal taş ocaklarından elde edilen blokların da bu kapsamda değerlendirilmesi gerekmektedir. Doğal taş işleme tesislerinde blokların işlenmesi sırasında uygulanan kesim yöntemlerinin performanslarının belirlenmesi önemlidir. Kesim sırasında harcanan birim enerji dairesel testereli kesimde performans ölçütlerinden biridir. Bu çalışmada, birim enerjinin bazı kesim ve ortam parametrelerinden belirlenmesi amaçlanmıştır. Birim enerjinin belirlenmesi için kesim parametreleri olarak testere çevresel hızı ve ilerleme hızı seçilmiştir. Benzer şekilde, ortam parametreleri olarak da testere titreşimi ve gürültü değerleri, kesim sonrası yüzeylerdeki pürüzlülük, kesim sırasında oluşan talaş yığınından belirlenen pasa irilik katsayısı seçilmiştir. Bu parametrelerin birim enerji ile ilişkileri istatistiksel olarak değerlendirilmiştir. Yapılan istatistiksel çalışmalarla dairesel testereli kesimde kullanılan birim enerjinin çevresel hız, ilerleme hızı, yüzey pürüzlülüğü ve pasa irilik katsayısı parametrelerinden kestirimine yönelik bir model kurulmuştur. Bu istatistiksel modelin yüksek güvenilirlikte (R2=0.948) birim enerji değerlerini kestirebileceği tespit edilmiştir. Bu modelde kullanılan parametreler, kesimde harcanan birim enerjinin tatmin edici biçimde tahmin edilmesinde ve dairesel testereli kesimin performansının belirlenmesinde kullanılabilir.; Natural stone mining and processing is one of the important sectors for Turkey's mining exports.
Sustainable international competition in this sector depends on the efficient use of resources. The
natural stone blocks obtained from quarries should be evaluated within this scope. It is important to
determine the performance of the cutting methods used in the processing of blocks in natural stone
processing plants. The unit energy consumed during cutting is one of the performance criteria for
circular cutting. In this study, it is aimed to determine the unit energy from some cutting and
environment parameters. In order to determine the unit energy, the peripheral speed and advance rate
were selected as cutting parameters. Similarly, sawblade vibration and sound levels, roughness of the
surfaces after cutting, and the coarseness index determined from the pile of chips formed during cutting
were selected as environment parameters. The relationships of these parameters with unit energy were
evaluated statistically. A model was derived with the statistical studies for estimating the unit energy
consumed in circular cutting from the parameters of peripheral speed, advance rate, surface roughness
and coarseness index. It has been determined that this statistical model can estimate unit energy with
high reliability (R2=0.948). The parameters used in this model can be satisfactorily used to estimate
consumed unit energy during cutting and to determine the performance of the circular cutting.
2020-01-01T00:00:00ZDetermination of actual dissolution rates from some rock properties in construction of deep salt cavern for natural gas storageBayram, FatihBektaşoğlu, İlkerhttps://hdl.handle.net/11630/82612021-06-12T08:36:11Z2020-01-01T00:00:00ZDetermination of actual dissolution rates from some rock properties in construction of deep salt cavern for natural gas storage
Bayram, Fatih; Bektaşoğlu, İlker
Available energy resources should be efficiently used to meet the global energy demand. The storage of energy resources, especially as natural gas, is important to balance extreme fluctuations in demand and supply of energy. Underground caverns in deep salt domes are used as storage for natural gas due to the low permeability and appropriate creep conditions of salt. Several projects are being carried out in Turkey to store imported natural gas. The design and construction parameters of these deep salt caverns should be determined to provide reliable and durable storage. Dissolution rate, which is an important parameter affecting the design and construction of underground salt caverns, is generally measured from core samples in laboratory settings. However, results do not match actual underground dissolution rates. The aim of this study was to predict actual dissolution rates from some rock properties. The physical and mechanical salt properties were determined from core samples obtained from different depths of drilled wells opened for salt caverns. The relationships between salt properties and actual dissolution rates were statistically analyzed. A statistical model was developed to predict actual dissolution rates using uniaxial compressive and tensile strengths, Poisson’s ratio, and cohesion and experimental vertical dissolution rates. The model is reliable for predicting actual dissolution rates in construction of underground gas storage caverns in salt domes. Predicted dissolution rates can be used in the design of underground gas storage caverns in salt domes.
2020-01-01T00:00:00ZExperimental and statistical evaluation of cutting methods in relation to specific energy and rock propertiesEngin, İrfan CelalBayram, FatihYaşıtlı, Nazmi Erhanhttps://hdl.handle.net/11630/81562021-06-12T08:36:08Z2013-01-01T00:00:00ZExperimental and statistical evaluation of cutting methods in relation to specific energy and rock properties
Engin, İrfan Celal; Bayram, Fatih; Yaşıtlı, Nazmi Erhan
In a processing plant, natural stone can be cut by methods such as circular sawing (CS), frame sawing (FS), water jet cutting (WJC) and abrasive water jet cutting (AWJC). The efficiency of cutting systems can be compared using various parameters. In this study, the specific energy values were determined and compared to evaluate the efficiency of rock-cutting methods. Rock-cutting experiments were performed on 12 different types of rock samples using a circular sawing machine and an AWJC machine. The experimental results showed that the specific energy values in AWJC were generally higher than in CS. In addition, the relationships between specific energy values and rock properties were explained in this study. The Shore hardness and abrasion resistance were found to be strongly related to the specific energy values, and according to these parameters prediction charts of specific energy values were created.
2013-01-01T00:00:00ZData mining techniques for the prediction of Bohme surface abrasion rates from rock propertiesBayram, Fatihhttps://hdl.handle.net/11630/81092021-06-12T08:35:56ZData mining techniques for the prediction of Bohme surface abrasion rates from rock properties
Bayram, Fatih
Abrasion refers to the wearing down of rock surfaces due to abrasive grains. Abrasion resistance
refers to the ability of rocks to withstand wear. Abrasion resistance is used to determine
the resistance of building materials produced for flooring, cladding, and pavements and to
demonstrate suitability for higher movement areas. While it is, therefore, very necessary to
determine the abrasion rate of building materials prior to construction, it is, however, highly
demanding and time consuming to determine abrasion rates. Thus, the aim of this study is to
use some rock properties to determine abrasion rates. The study samples, consisting of 32
different types of rocks (sedimentary, metamorphic, and igneous) collected from different regions
in Turkey, were subjected to some physical and mechanical tests, namely the following:
unit volume weight (UVW), apparent porosity (AP), modulus of elasticity (E), uniaxial compressive
strength (UCS), tensile strength (TS), Shore hardness (SH), and point load strength
(PL) and Bohme abrasion tests. To ascertain the abrasion rate from some physical and
mechanical properties of rocks, the results of these tests were analyzed using data mining
(DM) techniques. The results showed that there are high correlation coefficients between abrasion
rate and the aforementioned rock properties with the support vector machines (SVM) and
random forests (RF) models obtained as R = 0.882 and 0.881, respectively. This work has
shown that the rock Bohme abrasion rate can be predicted from some of its physical and
mechanical properties with significant level of confidence.