Masters degree

Jan 28, 2017 - Jan 28, 2019

Bachelor’s degree

Sep 1, 2012 - Jul 1, 2016

Classification of pistachio by using image processing and deep learning

Dec 28, 2018

publisher International Burasian conference on science, Engineering and lecnnology (burasianscien tech 2018),

Quality is one of the important factors in agricultural products marketing. This study aims to classify pistachio nuts uniformly according to their fields, size, quality, and testing to ensure compliance with certain standard specifications. These products will have advantages in price and sales because they will be easier to store and process standard products for the same property that can be obtained. Traditionally, pistachio nuts are classified via visual inspection of workers, manually. As a result, the classification process is subjected to poor efficiency in terms of time and cost. The most effective method used in grading machines today is image processing. So, it is important to find a fast and accurate system, and this can be achieved through neural networks. The purpose of the research is to create a fast and real time classification system with high accuracy for pistachios or pistachios trashes. This work can be divided into two main parts, segmentation and classification. For image segmentation, local thresholding with average filter were used to isolate the background from the objects in the input images. For image classification, transfer learning to our dataset was used on deep convolutional neural network. The neural network was trained by 1500 images of six types of classification (red pistachio, green pistachio, stone, leaf, unwanted material and branch of pistachio) 250 images for each type, The system was tested with a set of real-time images as well as images stored in the computer, by making a segmentation to the image to make the objects separated in individual images, and then classify each object image by the network. This process was given high accuracy.

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Experimental Investigation of the Effects of Grooves in Fe2O4/Water Nanofluid Pool Boiling

May 8, 2024

Journal Fluids MDPİ

publisher International Burasian conference on science, Engineering and lecnnology (burasianscien tech 2018),

Issue 110

Volume 9

In this study, we systematically explored how changing groove surfaces of iron oxide/water nanofluid could affect the pool boiling heat transfer. We aimed to investigate the effect of three types of grooves, namely rectangular, circular, and triangular, on the boiling heat transfer. The goal was to improve heat transfer performance by consciously changing surface structure. Comparative analyses were conducted with deionized water to provide valuable insights. Notably, the heat transfer coefficient (HTC) exhibited a significant increase in the presence of grooves. For deionized water, the HTC rose by 91.7% and 48.7% on circular and rectangular grooved surfaces, respectively. Surprisingly, the triangular-grooved surface showed a decrease of 32.9% in HTC compared to the flat surface. On the other hand, the performance of the nanofluid displayed intriguing trends. The HTC for the nanofluid diminished by 89.2% and 22.3% on rectangular and triangular grooved surfaces, while the circular-grooved surface exhibited a notable 41.2% increase in HTC. These results underscore the complex interplay between groove geometry, fluid properties, and heat transfer enhancement in nanofluid-based boiling. Hence, we thoroughly examine the underlying mechanisms and elements influencing these observed patterns in this research. The results provide important insights for further developments in this area by shedding light on how surface changes and groove geometry may greatly affect heat transfer in nanofluid-based pool boiling systems.

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STUDY ON THE PIPE SIZE AND SURFACE ROUGHNESS EFFECTS ON ‎HYDRAULIC ‎SYSTEM PERFORMANCE ‎

Jun 28, 2024

Journal Minar

publisher International Burasian conference on science, Engineering and lecnnology (burasianscien tech 2018),

DOI http://dx.doi.org/10.47832/2717-8234.19.%E2%80%8E%E2%80%8F21%E2%80%8F

Issue 2

Volume 6

Significant construction machinery depends on diverse actuators operated by a centralised ‎hydraulic unit. Nevertheless, ‎the presence of lengthy tubes in the hydraulic system gives rise ‎to various difficulties such as friction, leakages, pressure ‎drops, and alterations in flow rate. ‎In order to tackle these concerns, a theoretical analysis has been undertaken. This ‎study ‎focuses on an intricate mathematical model of hydraulics, specifically investigating the ‎impact of various pipe ‎characteristics, including length, diameter, and roughness. The ‎Matlab R2010b software was utilised to examine the ‎precise influence of pipe length on the ‎hydraulic system. We examined many features, including diameter (0.005m, 0.015 m, ‎and ‎‎0.025m), pipe length (0.0001m, 25m, 50m, and 100m), and pipe friction factors (0.003, 0.009, ‎and 0.012). The study ‎revealed that increasing the diameter of the pipe (from 0.005m to ‎‎0.025m) resulted in an increase in peak gains from 36.2 to ‎‎42 dB. This demonstrates that ‎reducing the diameter of pipes results in a hydraulic system that is more stable. A pipe with ‎a ‎shorter length (l = 0.0001 m) leads to an unstable system as a result of overshooting ‎produced by a low damping ratio. In ‎addition, an increase in the friction factor resulted in a ‎decrease in peak gain such as maximum peak gain were 41.2 dB, ‎‎40.8 dB at μ = 0.003, and ‎‎0.012, respectively. The outcomes of the research indicate that changes in pipe diameters ‎and ‎roughness are ones among other important parameters to be taken into account when ‎considering operating stability of the ‎hydraulic system. These can change and thus influence ‎the dependability as well as performance of all these hydraulic ‎systems Keywords: Hydraulic System, Roughness , Friction, Pipe Diameter, Pipe Length , Stability

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