Browsing by Author "Odbileg Norovrinchen"

Now showing 1 - 13 of 13
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    Analyzing the structural integrity and performance of the safety railings(guardrail) system on the Nalaikh-Ulaanbaatar road
    (German Mongolian Institute for Resouce and Technology, 2024-05-10) Dashdavaa Tuvshintur; Sungchil Lee; Odbileg Norovrinchen
    Road traffic accidents along the Nalaikh-Ulaanbaatar road have raised significant concerns about the safety measures in place, particularly the effectiveness of the safety railings. This thesis explores the structural integrity and performance of these railings with an aim to enhance road safety and mitigate accident severity. Through a combination of field assessments, consultations with local authorities and road safety experts, and a thorough literature review on global safety railing standards, this research evaluates the current railings' condition and their compliance with safety norms. The findings indicate that while the railings meet certain Mongolian national standards, they are inadequate in terms of reducing the impacts of road accidents due to deficiencies in design, maintenance, and material resilience. Consequently, this study proposes a set of improvements, incorporating advanced international practices in safety railing design and stricter maintenance schedules. These enhancements are intended to provide robust support in preventing vehicles from veering off the road, ultimately leading to a safer commuting experience along this vital artery. The recommendations put forth by this thesis are expected to contribute significantly to the national discourse on road safety improvements and set a precedent for future infrastructure projects in Mongolia.
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    Design of vehicle fuel flowmeter
    (German Mongolian Institute for Resouce and Technology, 2022-05-30) Dulamjargal Altankhuyag; Battulga Nasanjargal; Odbileg Norovrinchen
    In this paper, I have proposed a technique as a testing method for the instrument of measuring the amount of fuel used concerning the motion of the vehicle. The research was undertaken on the fuel consumption of the Mitsubishi Fuso Rosa Bus of GMIT starting from Nov 2021 till May 2022. It is essential to design a fuel measuring device to solve conflicts between drivers and economists calculating the real consumption of fuel. The research phase consists of reviewing the current studies on the given topic, then designing an appropriate fuel flowmeter model and simulating it to check the desired results.
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    Developing sensor-based solution for indoor air quality enhancement
    (German Mongolian Institute for Resouce and Technology, 2024-05-27) Enkhsanaa Bayarsaikhan; Sungchil Lee; Odbileg Norovrinchen
    These days, natural variables such as temperature, air quality, and parts per million (PPM) are crucial to the standard of living. Individuals spend roughly 90% of their time inside, whether in homes, workplaces, or other sorts of buildings, concurring with the discoveries of numerous studies. The indoor air quality (IAQ) in these spaces affects our efficiency, health, and wellbeing. However, IAQ regularly does not get the consideration, driving to situations that can altogether affect human wellbeing.
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    Enhancing Agricultural Efficiency and Sustainability through Robotic Arm Automation
    (German Mongolian Institute for Resouce and Technology, 2024-05-10) Batsukh Tsogt; Sungchil Lee; Odbileg Norovrinchen
    With the growth of population, the needs of humanity are constantly on the rise, and agriculture in the twenty-first century is facing numerous unprecedented challenges. These include shortages in human labour, a reduction in land fertility due to climate change, and decrement in fertile land caused by urbanization. Due to its seasonal nature, it is not uncommon in the agriculture industry to have fluxations in the workforce. There is typically a specific window of time for harvesting most crops, and some delicate crops, like asparagus, strawberries, or cherries have a very short window where they’re at their peak quality for harvest. When there are not enough workers to pick up, it causes shortages in food demand, food waste, and many more. The USDA estimates post-harvest food loss, including fruits and vegetables, in the US to be around 30-40%. Labour shortages are believed to be a major contributor to this waste.[4] Addressing these challenges will necessitate a shift away from reliance on human labour. Instead, it calls for innovative methods to deliver consistent, efficient output. Automating repetitive harvesting tasks frees up human labour for higher values, such as reduced waste and labour costs and improved efficiency and product quality. Robotic arms with inbuilt cameras can detect ripeness, allowing for careful selection and minimizing damage to the fruit. They can operate 24/7, leading to faster harvests and thus reducing waste. Also, gentler handling by robots compared to manual picking can minimize bruising and blemishes, leading to higher-quality produce. The aim of this project is to design such a robotic arm, focusing on its model and structure that is best suited for agriculture.
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    Fatigue Strength Estimation Based on the Maximum Likelihood Method
    (2023) Sungchil Lee; Odbileg Norovrinchen; Chinguunbileg Sumiyadorj
    Fatigue strength is one of the core principles for designing mechanical components. It has been a constant concern for engineers, as mechanical failure occurs due to loading exceeding the fatigue strength. This concern has led to a necessity to develop new approaches to estimate the reliability of mechanical components. The conventional method that is used to test fatigue strength is the staircase method. However, the staircase method’s ability to calculate fatigue strength is potentially unreliable. The bias and scatter associated with fatigue testing shows the limitations of fatigue strength estimation when the staircase approach is used. The conventional methods of fatigue limit determination also have key flaws, in that they are subjective, time consuming, and costly. This research aims to develop a method that would reliably estimate the fatigue strength of materials, whilst using a lower amount of test results. The present study is intended to formulate and analyze a proposed method of estimating fatigue strength by utilizing a smaller number of tests. The aforementioned method that this paper aims to formulate, mainly focuses on a probabilistic estimation based on the Maximum Likelihood Procedure. The proposed method is applied to existing fatigue test data and its effectiveness is compared with other methods.
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    Fatigue Strength Estimation Based on the Maximum Likelihood Method
    (2023) Sungchil Lee; Odbileg Norovrinchen; Chinguunbileg Sumiyadorj
    Fatigue strength is one of the core principles for designing mechanical components. It has been a constant concern for engineers, as mechanical failure occurs due to loading exceeding the fatigue strength. This concern has led to a necessity to develop new approaches to estimate the reliability of mechanical components. The conventional method that is used to test fatigue strength is the staircase method. However, the staircase method’s ability to calculate fatigue strength is potentially unreliable. The bias and scatter associated with fatigue testing shows the limitations of fatigue strength estimation when the staircase approach is used. The conventional methods of fatigue limit determination also have key flaws, in that they are subjective, time consuming, and costly. This research aims to develop a method that would reliably estimate the fatigue strength of materials, whilst using a lower amount of test results. The present study is intended to formulate and analyze a proposed method of estimating fatigue strength by utilizing a smaller number of tests. The aforementioned method that this paper aims to formulate, mainly focuses on a probabilistic estimation based on the Maximum Likelihood Procedure. The proposed method is applied to existing fatigue test data and its effectiveness is compared with other methods.
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    Improvement of fuel consumption flowmeter
    (German Mongolian Institute for Resouce and Technology, 2023-05-10) Ariuntsetseg Uyanga; Odbileg Norovrinchen; Sungchil Lee
    The fuel consumption flowmeter thesis aims to select the mass measurement method from the many instruments, equipment, and methods used to measure fuel consumption and to study its concept, techniques, and implementation. When fuel consumption is one of the most critical issues, it is essential to develop a way to measure it. GMIT also faced the same problem and raised the issue of reducing fuel consumption and saving.
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    Improvement of fuel consumption flowmeter
    (German Mongolian Institute for Resouce and Technology, 2023-05-10) Ariuntsetseg Uyanga; Odbileg Norovrinchen; Sungchil Lee
    The fuel consumption flowmeter thesis aims to select the mass measurement method from the many instruments, equipment, and methods used to measure fuel consumption and to study its concept, techniques, and implementation. When fuel consumption is one of the most critical issues, it is essential to develop a way to measure it. GMIT also faced the same problem and raised the issue of reducing fuel consumption and saving. This research paper covers the theory behind the flowmeter system, working principles, experimental results, and applications. It will also briefly present other flow measurement methods. The main goal is to design a meter that accurately measures the mass of fuel at a given time of immobility, conduct experiments, make conclusions, and make suggestions for improvements. The measuring system will use advanced techniques such as load sensors, microcontroller boards, and load cell amplifiers. Overall, this thesis focuses on the study, mass testing, and improvement of flowmeter technology. As a result, I plan to contribute to solving the problems faced by GMIT.
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    Road Dust Reduction by Filter Installed on Public Bus
    (2023) Odbileg Norovrinchen; Sungchil Lee; Baljinnyam Guntevsuren
    In this research, to minimize road dust in the air which has a harmful effect on public health a new filtering device prototype was proposed. The proposed device was designed to be mounted on public buses. The best location of the device on the public bus was found from the airflow dynamic analysis around a public bus which runs in Ulaanbaatar city. It was found from the numerical simulation, the air flow around the bus is perturbed at the rear side of the bus. It produces vortices at the rear side of the bus. Considering the power supply to the filtering device, the engine room at the rear side of the bus was chosen as an optimal location for the device. The device was mounted on a public bus and had collected road dust for two weeks. From the test results, it is concluded that the proposed device has a very high performance in collecting road dust with minimum efforts.
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    Road Train TPMS for Mapping Haulage Road Surface
    (German Mongolian Institute for Resouce and Technology, 2024-05-10) Yelbatyr Byambayev; Russell Kennett; Myagmarjav Bold; Odbileg Norovrinchen
    This bachelor's work reviews the potential to simplify, analyze, and simulate Tire Pressure Monitoring Systems (TPMS) data for real-time monitoring and mapping of road surface conditions in underground mine haulage level transportation, Oyu Tolgoi LLC. The main goal is to create a system that uses TPMS data to identify and categorize different types of road surfaces and levels of roughness to provide real-time maps of the state of the roads. The proposed system can provide valuable information to underground haulage and road maintenance authorities to optimize transportation routes, reduce equipment maintenance costs, reduce employee discomfort and fatigue, and improve road safety. The suggested method gathers real-time tire pressure and temperature data using PressurePro TPMS sensors mounted in haulage vehicles. The data then identifies and classifies road surface types and roughness levels. The method uses NodeJS to create a web app, JavaScript to write code, and SQL to manage data stored in relational databases. The system creates real-time maps of road conditions that display the different levels of road roughness using color-coded visualizations. The proposed system has significant implications for the "Road Train," the underground transportation ore industry, and can contribute to developing more efficient, reduced vehicle damage, and safer transportation systems. The experimental data results from the "Road Train" models were analyzed.
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    Street cleaning robot algorithm
    (German Mongolian Institute for Resouce and Technology, 2023-05-11) Munkhtur Ganbat; Odbileg Norovrinchen; Myagmarjav Bold
    This thesis presents a street cleaning robot algorithm that efficiently plans the shortest path between points while considering dynamic obstacles. The proposed algorithm is designed to update the planned path in real-time based on the latest sensor data. The simulation and prototype demonstrate the effectiveness of the algorithm in navigating through a complex environment while avoiding obstacles. The results show that the proposed algorithm can work in outdoor environments in Mongolian different climates. The simulation and prototype results confirm the effectiveness of the algorithm. Furthermore, since these types of devices have not been used in Mongolia before, this research presents a new possibility for their application in the region.
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    The optimal sensor placements for vibration based damage detection of wind turbine tower
    (German Mongolian Institute for Resouce and Technology, 2022-05-16) Baigalmaa Purevdorj; Sungchil Lee; Odbileg Norovrinchen
    Objective of this thesis is to find optimal sensor placements regarding vibration-based damage by utilizing modal parameters of a structure. The location of sensors is crucial for correct identification of the mode shapes of complicated mechanical structures. In this study, a specific model of a 100m wind tower was analyzed to determine the optimal sensor placement algorithm for vibration-based damage detection. The vibration-based damage detection was conducted to the system and damage was localized using a mode shape-based damage identification technique. The optimal sensor placements were obtained by minimization of weighted off-diagonal elements, QR decomposition, the genetic algorithm with maximum errorand the genetic algorithm with weighted off-diagonal criteria. Among these three algorithms, the genetic algorithm with weighted off-diagonal criteria yielded the most effective sensor placements for the highest damage detection accuracy.
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    Vibration Analysis for Fault Detection of Automobile Engine
    (German Mongolian Institute for Resouce and Technology, 2021-05-28) Yelaman Byambayev; Ariunbolor Purvee; Odbileg Norovrinchen
    This bachelor work reviews the analysis and diagnosis of automobile engines with the use of vibration. In recent years, it has been proven that vibration analysis is not only applicable for the fault detection of bearings and gears but also automobile engines. The aim of this research work is to monitor, diagnose and detect faults in an automobile engine by conducting vibration analysis. A professional car diagnostic tool was used in order to lower the costs of operation. Moreover, vibration analysis was conducted to decrease the risk of catastrophic damage on automobile engines. Analysis was based on the measurement of the vibration data acquisition device. Spectrum analysis and Fourier Transform techniques were used to observe patterns in data. The research outcome is about automobile engine health and faults.