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Articles 62611 - 62640 of 198162
Full-Text Articles in Engineering
Project Management Assignment Tool Using R And Shiny, Ben Stewart, Hoseok Jung, Moses Rawar
Project Management Assignment Tool Using R And Shiny, Ben Stewart, Hoseok Jung, Moses Rawar
Engineering and Technology Management Student Projects
Linear programs such as the R markdown language play an important role in helping to find an optimized solution in various fields of society. This area extends from the optimal distribution channels of coffee shops, which are closely related to our lives, to very important areas such as the deployment of military forces. Through this paper, we will try to find ways to maximize the efficiency and performance of a company by properly allocating project managers suitable for the projects performed by each company according to their capabilities and the requirements of the projects.
Connecting Offshore Floating Wind To The Western Electricity Grid: Transmission Options Decision Modeling, Bill Henry
Connecting Offshore Floating Wind To The Western Electricity Grid: Transmission Options Decision Modeling, Bill Henry
Engineering and Technology Management Student Projects
The purpose of this project is to obtain stakeholder views on a range of aspects relating to a proactive planning process to build transmission facilities in coordination with development of floating offshore wind (OSW) in southern Oregon and northern California. In the event that a transmission planning process to examine the potential need to assess and build transmission facilities to connect these wind resource areas is launched at a future date, the results of this study will assist planners by obtaining initial stakeholder views on the breadth of choices that should be considered, and more importantly, provide key insights on …
Toilet Alarms: A Novel Application Of Latrine Sensors And Machine Learning For Optimizing Sanitation Services In Informal Settlements, Phillip Nicholas Turman-Bryant, Taylor Sharpe, Corey L. Nagel, Lauren Stover, Evan A. Thomas
Toilet Alarms: A Novel Application Of Latrine Sensors And Machine Learning For Optimizing Sanitation Services In Informal Settlements, Phillip Nicholas Turman-Bryant, Taylor Sharpe, Corey L. Nagel, Lauren Stover, Evan A. Thomas
Systems Engineering Faculty Publications and Presentations
The cost-effectiveness and reliability of waste collection services in informal settlements can be difficult to optimize given the geospatial and temporal variability of latrine use. Daily servicing to avoid overflow events is inefficient, but dynamic scheduling of latrine servicing could reduce costs by providing just-in-time servicing for latrines. This study used cellular-connected motion sensors and machine learning to dynamically predict when daily latrine servicing could be skipped with a low risk of overflow. Sensors monitored daily latrine activity, and enumerators collected solid and liquid waste weight data. Given the complex relationship between latrine use and the need for servicing, an …
Exploring The Impact Of Brexit On Uk’S Engineering Education Sector From The Perspective Of European Students And Staff, I. Direito, B. Williams, Shannon Chance
Exploring The Impact Of Brexit On Uk’S Engineering Education Sector From The Perspective Of European Students And Staff, I. Direito, B. Williams, Shannon Chance
Conference papers
The UK higher education attracts a far higher number of international academics from all over the world, who teach and do research, than any other country in Europe, being only surpassed by Switzerland [1]. Moreover, because engineering itself is considered a global field, this sub-field of higher education also relies on international mobility more than most academic disciplines in the UK The impact of the United Kingdom European Union membership referendum of June 2016, commonly referenced as the Brexit referendum, is still unfolding and under continuing analysis. However, it is widely anticipated that it will disrupt European student and staff …
An Introduction To Systematic Literature Reviews In Engineering Education, Inês Direito, Shannon Chance, Manish Malikc
An Introduction To Systematic Literature Reviews In Engineering Education, Inês Direito, Shannon Chance, Manish Malikc
Conference papers
Whether you are new to engineering education research (EER) or an experienced researcher, knowing what prior work has been conducted in your topic of interest is essential. Literature reviews can not only inform your practice, but also help you identify gaps and new directions for further research. Literature reviews enable you to distil the knowledge necessary to participate fully and with authority in conversations on your topic. Developing a comprehensive review helps ensure you identify all past publications pertinent to your topic and provides a means for others to verify your work – a cornerstone principle of scientific research. In …
Exploring The Curricular Content Of Engineering Ethics Education In Ireland, Diana Adela Martin, Eddie Conlon, Brian Bowe
Exploring The Curricular Content Of Engineering Ethics Education In Ireland, Diana Adela Martin, Eddie Conlon, Brian Bowe
Conference papers
Our contribution aims to determine the main curricular themes employed in engineering ethics instruction. In the use of the term `curricular content", the study is guided by an understanding of curriculum in terms of the syllabus content of a specific discipline or set of units taught to students. The research study has been conducted in cooperation with the national accrediting body Engineers Ireland and includes 23 Engineering programmes from 6 institutions in Ireland that underwent accreditation between 2017-2019. The research method employed is a documentary analysis of the materials prepared by the programmes for accreditation or made available on the …
Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo
Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo
Doctoral
Limited work exists for the comparison across distinct knowledge-based approaches in Artificial Intelligence (AI) for non-monotonic reasoning, and in particular for the examination of their inferential and explanatory capacity. Non-monotonicity, or defeasibility, allows the retraction of a conclusion in the light of new information. It is a similar pattern to human reasoning, which draws conclusions in the absence of information, but allows them to be corrected once new pieces of evidence arise. Thus, this thesis focuses on a comparison of three approaches in AI for implementation of non-monotonic reasoning models of inference, namely: expert systems, fuzzy reasoning and defeasible argumentation. …
Ambiqual: Towards A Quality Metric For Headphone Rendered Compressed Ambisonic Spatial Audio, Miroslaw Narbutt, Jan Skoglund, Andrew Allen, Michael Chinen, Dan Barry, Andrew Hines
Ambiqual: Towards A Quality Metric For Headphone Rendered Compressed Ambisonic Spatial Audio, Miroslaw Narbutt, Jan Skoglund, Andrew Allen, Michael Chinen, Dan Barry, Andrew Hines
Articles
Spatial audio is essential for creating a sense of immersion in virtual environments. Efficient encoding methods are required to deliver spatial audio over networks without compromising Quality of Service (QoS). Streaming service providers such as YouTube typically transcode content into various bit rates and need a perceptually relevant audio quality metric to monitor users’ perceived quality and spatial localization accuracy. The aim of the paper is two-fold. First, it is to investigate the effect of Opus codec compression on the quality of spatial audio as perceived by listeners using subjective listening tests. Secondly, it is to introduce AMBIQUAL, a full …
Investigating The Effects Of Flue Gas Injection, Hot Water Distribution, And Fill Distribution On Natural Draft Wet Cooling Tower Performance, John Stapleton
Investigating The Effects Of Flue Gas Injection, Hot Water Distribution, And Fill Distribution On Natural Draft Wet Cooling Tower Performance, John Stapleton
Senior Honors Theses
Natural draft wet cooling towers (NDWCT) are a common method of heat removal in powerplants. This study employs a numerical cooling tower model developed by Eldredge, Benton & Hodgson (1997) to examine whether utilizing nonuniform water, fill profiles, and flue gas injection can improve NDWCT efficiency. The results show that each of these variables can be optimized to lower outlet water temperature. Within the range tested for each parameter, the water profile had the most significant effect on outlet water temperature, followed by the flue gas temperature and then the fill profile. The optimum parameter combination reduced the predicted outlet …
Deep Learning Of Nonlinear Dynamical System, Aditya Wagh
Deep Learning Of Nonlinear Dynamical System, Aditya Wagh
Dissertations, Master's Theses and Master's Reports
A data-driven approach, such as neural networks, is an alternative to traditional parametric-model methods for nonlinear system identification. Recently, long Short- Term Memory (LSTM) neural networks have been studied to model nonlinear dynamical systems. However, many of these contributions are made considering that the input to the system is known or measurable, which often may not be the case. This thesis presents a method based on LSTM for output-only modeling, identification, and prediction of nonlinear systems. A numerical study is performed and discussed on Duffing systems with various cubic nonlinearity.
Magnetism In Γ-Fesi2 Nanostructures: A First Principles Study, Sahil Dhoka
Magnetism In Γ-Fesi2 Nanostructures: A First Principles Study, Sahil Dhoka
Dissertations, Master's Theses and Master's Reports
First-principles calculations are performed on γ-FeSi2 nanostructures grown on Si (111) and (001) substrate. An attempt to explain the origin of emergent magnetic properties of the metastable gamma phase of iron di-silicide (γ-FeSi2) is made, which show ferromagnetic behavior on nanoscale, unlike its possible bulk form. Many papers try to explain this magnetism from factors like bulk, epitaxial strain, interface, surface, edges, and corners but doesn’t provide an analytical study for these explanations. Density functional theory is used to analyze the magnetic effects of these factors. The results for the epitaxial structures show no magnetic behavior for …
A Neural Network Approach To Estimate Buoy Mooring Line Sensor Deflection, Tom Price
A Neural Network Approach To Estimate Buoy Mooring Line Sensor Deflection, Tom Price
Dissertations, Master's Theses and Master's Reports
Instrumented moorings are often used to measure characteristics, such as temperature and current, over the water column. However, the moorings deflect from the effects of currents and waves, which could lead to innacurate measurements. In this work, a computationally efficient method to compensate for mooring sensor position errors is developed. The two-step process first uses a hydrodynamic model of the buoy and mooring line system to create estimated mooring line deflections in a steady current. A neural network model is trained to approximate the hydrodynamic model’s mooring line displacement given the spatial location of the buoy and current profile measurements. …
Analysis Of A Circular Resonant Plate For Shock Testing, Jon Markl
Analysis Of A Circular Resonant Plate For Shock Testing, Jon Markl
Dissertations, Master's Theses and Master's Reports
Designing a resonant plate for shock test specifications involves an understanding of how a system will respond with a given set of input and output locations in all three directions. To investigate how to effectively change the off-axis responses to meet test specifications, a finite element model (FEM) was created and examinations of input location/angle of impact, placement of the test fixture, and placement of the impact pad were conducted. The primary tool used to determine how a structure will respond to a given input at a given output on the test structure was done using the shock response spectra …
Experimental Characterization Of Spool Valve Flow Noise, Zachary Cohen
Experimental Characterization Of Spool Valve Flow Noise, Zachary Cohen
Dissertations, Master's Theses and Master's Reports
The purpose of this research was to experimentally measure the flow noise produced by a spool valve and compare with measurements of orifice flow noise to reduce flow noise modelling complexity. The similarities and differences are compared over a range of volume flow rates, back pressures, and cross section areas. The impact of down stream boundary conditions on the flow noise are also examined. The results are generalized and plotted against Froude number. The valve results are curve fit to generate empirical equations that can be used to predict flow noise under typical operating conditions. The valve and orifice data …
Design, Build, And Analysis Of A Compressed Natural Gas Direct Injection Compression Ignition Single Cylinder Research Engine, Tyler Miller
Design, Build, And Analysis Of A Compressed Natural Gas Direct Injection Compression Ignition Single Cylinder Research Engine, Tyler Miller
Dissertations, Master's Theses and Master's Reports
Both experimental and simulation efforts have been employed to further advance the design and build of a single cylinder research engine. The engine will aid in advancing technology and understanding the operation of compression-ignition (CI) engines using natural gas within the heavy-duty engine industry. The basis for the engine is a Cummins 15L ISX engine that has been modified, retrofitted, and instrumented to allow for late-cycle direct-injection of high-pressure compressed natural gas. Along with the engine build, a one-dimensional GT-Power simulation model has been created and used to analyze the engine operation and specify components including the engine compression ratio …
Numerical Investigation Of Spray Characterization Of Heater-Gdi System, Ashwin Karthik Purushothaman
Numerical Investigation Of Spray Characterization Of Heater-Gdi System, Ashwin Karthik Purushothaman
Dissertations, Master's Theses and Master's Reports
Gasoline engines require fuel enrichment at low temperature cranking (cold start) conditions for efficient engine operation. Since the amount of fuel injected is high at cold start to compensate low fuel evaporation, fuel sprays tend to impinge on the cold surfaces of the piston and cylinder walls leading to the formation of excessive unburned hydrocarbons. One of the ways to ensure reliable cold start performance and to reduce UHC emissions is to have the fuel subjected to preheating. The objective of this study is to investigate the effects of fuel preheating on Gasoline Direct Injection sprays to improve the mixture …
Metalimnetic Oxygen Minimum In Green Lake, Wisconsin, Mahta Naziri Saeed
Metalimnetic Oxygen Minimum In Green Lake, Wisconsin, Mahta Naziri Saeed
Dissertations, Master's Theses and Master's Reports
Green Lake, located in Green Lake County, Wisconsin, has been experiencing summer Metalimnetic Oxygen Minima (MOM). The severity of the MOM has increased in recent years and the lake was listed as impaired in 2014. To investigate the MOM, the lake was monitored during 2017 and 2018 at two sites using moored temperature and oxygen sensors recording at 1-hour intervals. Using these data, a hydrodynamic model (Simstrat) was configured for the lake. A new model was then developed to simulate the oxygen changes in the lake. Productivity, respiration, sediment oxygen demand (SOD) and fluxes were included, and hydrodynamics were driven …
Optimization Of Shape And Control Of Linear And Nonlinear Wave Energy Converters, Jiajun Song
Optimization Of Shape And Control Of Linear And Nonlinear Wave Energy Converters, Jiajun Song
Dissertations, Master's Theses and Master's Reports
In this dissertation, we address the optimal control and shape optimization of Wave Energy Converters. The wave energy converters considered in this study are the single-body heaving wave energy converters, and the two-body heaving wave energy converters. Different types of wave energy converters are modeled mathematically, and different optimal controls are developed for them. The concept of shape optimization is introduced in this dissertation; the goal is to leverage nonlinear hydrodynamic forces which are dependent on the buoy shape. In this dissertation, shape optimization is carried out and its impact on energy extraction is investigated. In all the studies conducted …
Dynamic Testing: An Experimental Approach To Defect Identification In Additive Manufactured Parts, Aimee Allen
Dynamic Testing: An Experimental Approach To Defect Identification In Additive Manufactured Parts, Aimee Allen
Dissertations, Master's Theses and Master's Reports
Today’s additive manufacturing (AM) industry produces specialized parts at low volume or with complex geometries. Traditional testing methods are effective, but costly and time consuming to perform. The AM industry lacks an optimized testing method for identifying internal defects that occur in parts. The evaluation of multiple parts printed on the same build plate for internal defects using various nondestructive (dynamic) testing techniques is presented. From these experiments, perspective was gained on when and how dynamic testing can be used to find defects. Insight gained from these experiments can help the industry in future testing for internal defects.
Multiscale Modeling Of Carbon Fibers/Graphene Nanoplatelets/Epoxy Hybrid Composites For Aerospace Applications, Hashim Al Mahmud
Multiscale Modeling Of Carbon Fibers/Graphene Nanoplatelets/Epoxy Hybrid Composites For Aerospace Applications, Hashim Al Mahmud
Dissertations, Master's Theses and Master's Reports
Significant research effort has been dedicated for decades to improve the mechanical properties of aerospace polymer-based composite materials. Lightweight epoxy-based composite materials have increasingly replaced the comparatively heavy and expensive metal alloys used in aeronautical and aerospace structural components. In particular, carbon fibers (CF)/graphene nanoplatelets (GNP)/epoxy hybrid composites can be used for this purpose owing to their high specific stiffness and strength. Therefore, this work has been completed to design, predict, and optimize the effective mechanical properties of CF/GNP/epoxy composite materials at different length scales using a multiscale modeling approach. The work-flow of modeling involves a first step of using …
Effect Of Cerium And Magnesium Additions On The Strength And Morphology Of The Intermetallic Compound Layers In Aluminum-Steel Dissimilar Castings, Matt Thomas
Dissertations, Master's Theses and Master's Reports
Dissimilar castings are under investigation due to their light-weighting opportunities within the automotive industry. In this case, dissimilar castings consist of a solid steel core and a poured aluminum component. The strength and integrity of the casting relies on the coherency of the bond between the two components; by optimizing the metallurgical component of the bonding phenomena, the weight and complexity of the insert can be reduced, further increasing the light-weighting opportunities. An interface comprised of intermetallics, generally Fe4Al13 and Fe2Al5, forms between the two components with the latter forming nearest the steel. …
Lagrangian Relaxation Method For Integrated Vehicles And Drones Routing Model, Perawit Charoenwut
Lagrangian Relaxation Method For Integrated Vehicles And Drones Routing Model, Perawit Charoenwut
Chulalongkorn University Theses and Dissertations (Chula ETD)
Nowadays, e-commerce increases parcel transportation demand year by year. Many companies are seeking the way to improve performance of delivery service and cost-efficiency. One among many solutions is using a drone attached with a truck for the last mile delivery. A drone can be launched from either depot or truck and returned to the depot or wait for the truck to take them back from the docking station around the delivery area. The vehicle routing problem with drones considers truck- and drone-route simultaneously. It is an enormous problem that cannot be solved by a normal linear programming method. This research …
Effects Of Oxygen Modification On The Structural And Magnetic Properties Of Highly Epitaxial La0.7sr0.3mno3 (Lsmo) Thin Films, Shalini Kumari, Navid Mottaghi, Chih-Yeh Huang, Robbyn Trappen, Ghadendra Bhandari, Saeed Yousefi, Guerau Cabrera, Mohindar S. Seehra, Mikel B. Holcomb
Effects Of Oxygen Modification On The Structural And Magnetic Properties Of Highly Epitaxial La0.7sr0.3mno3 (Lsmo) Thin Films, Shalini Kumari, Navid Mottaghi, Chih-Yeh Huang, Robbyn Trappen, Ghadendra Bhandari, Saeed Yousefi, Guerau Cabrera, Mohindar S. Seehra, Mikel B. Holcomb
Faculty & Staff Scholarship
La0.7Sr0.3MnO3, a strong semi-metallic ferromagnet having robust spin polarization and magnetic transition temperature (TC) well above 300 K, has attracted significant attention as a possible candidate for a wide range of memory, spintronic, and multifunctional devices. Since varying the oxygen partial pressure during growth is likely to change the structural and other physical functionalities of La0.7Sr0.3MnO3 (LSMO) films, here we report detailed investigations on structure, along with magnetic behavior of LSMO films with same thickness (~30 nm) but synthesized at various oxygen partial pressures: 10, 30, 50, 100, 150, 200 and 250 mTorr. The observation of only ( …
Ground And Aerial Robots For Agricultural Production: Opportunities And Challenges, Santosh Pitla, Sreekala Bajwa, Santosh Bhusal, Tom Brumm, Tami M. Brown-Brandl, Dennis R. Buckmaster, Isabella Condotta, John Fulton, Todd J. Janzen, Manoj Karkee, Mario Lopez, Robert Moorhead, Michael Sama, Leon Schumacher, Scott Shearer, Alex Thomasson
Ground And Aerial Robots For Agricultural Production: Opportunities And Challenges, Santosh Pitla, Sreekala Bajwa, Santosh Bhusal, Tom Brumm, Tami M. Brown-Brandl, Dennis R. Buckmaster, Isabella Condotta, John Fulton, Todd J. Janzen, Manoj Karkee, Mario Lopez, Robert Moorhead, Michael Sama, Leon Schumacher, Scott Shearer, Alex Thomasson
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Crop and animal production techniques have changed significantly over the last century. In the early 1900s, animal power was replaced by tractor power that resulted in tremendous improvements in field productivity, which subsequently laid foundation for mechanized agriculture. While precision agriculture has enabled site-specific management of crop inputs for improved yields and quality, precision livestock farming has boosted efficiencies in animal and dairy industries. By 2020, highly automated systems are employed in crop and animal agriculture to increase input efficiency and agricultural output with reduced adverse impact on the environment. Ground and aerial robots combined with artificial intelligence (AI) techniques …
การลดของเสียในกระบวนการประกอบสายส่งสัญญาณทางแสง (Active Optical Cable), อาภานวล แก้วกาหลง
การลดของเสียในกระบวนการประกอบสายส่งสัญญาณทางแสง (Active Optical Cable), อาภานวล แก้วกาหลง
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้มีวัตถุประสงค์เพื่อปรับปรุงกระบวนการประกอบสายส่งสัญญาณทางแสง ที่ระดับความเร็ว 100Gb/s ซึ่งเป็นเทคโนโลยีการส่งสัญญาณสำหรับดาต้าเซ็นเตอร์ที่เติบโตอย่างต่อเนื่อง โดยประยุกต์ใช้เครื่องมือปรับปรุงคุณภาพตามแนวทางซิกซ์ ซิกมา หรือ DMAIC ประกอบด้วย (1) ระยะนิยามปัญหา พิจารณาอัตราผลิตผลดีในกระบวนการประกอบระดับออพติคอลเอนจิน พบว่ากระบวนการวัดกำลังแสงขาออกมีสัดส่วนของเสียเฉลี่ยต่ำที่สุด ประมาณ 10.29% ซึ่งเป็นตัวชี้วัดว่ากระบวนการวางเลนส์ด้วยวิธีการแบบแพสซิพ (Passive Alignment technique) ซึ่งเป็นวิธีการวางตำแหน่งเลนส์โดยใช้ภาพเอกลักษณ์และการคำนวณระยะสัมพัทธ์ระหว่างกึ่งกลางของเลนส์ และกึ่งกลางของเลเซอร์ VCSEL ยังมีคุณภาพดีไม่เพียงพอ (2) ระยะการวัด การวิเคราะห์ความพ้องกันของระบบวัดกำลังแสงขาออก โดยใช้ข้อมูลแบบนับ (Attribute gage R&R) แสดงให้เห็นว่าระบบวัดมีความสามารถในการวัดซ้ำ, วัดได้อย่างถูกต้อง, และระบบมีความพ้องกันดี (Kappa > 0.9) โดยค่า Cpk และ Ppk จากการวิเคราะห์ความสามารถของกระบวนการ เป็น 0.923 และ 0.423 ตามลำดับ (3) ระยะวิเคราะห์หาสาเหตุของปัญหาด้วยการทดสอบสมมติฐานสัดส่วนประชากร 2 กลุ่ม พบว่ามี 4 ปัจจัยที่ส่งผลต่อสัดส่วนของเสียได้แก่ อัลกอริทึมการหาอไลน์เมนท์ออฟเซ็ต, แผ่นวงจรรวมที่ผลิตจากแหล่งที่ต่างกัน, ระนาบแกน Z หรือบอนด์ไลน์, และอุณหภูมิการอบกาวให้แห้งหลังวางเลนส์ (4) การดำเนินการปรับปรุง และ (5) การติดตามผล ซึ่งหลังการปรับปรุงพบว่าว่าสัดส่วนของเสียลดลงจาก 10.29% เหลือ 1.98% หรือลดลง 80% กระบวนการมี Cpk และ Ppk ดีขึ้นเป็น 1.187 และ 0.687 ตามลำดับ
การสังเคราะห์โบรอนคาร์ไบด์จากรังไหมและกรดบอริก, กานต์ชนก ภูผาทอง
การสังเคราะห์โบรอนคาร์ไบด์จากรังไหมและกรดบอริก, กานต์ชนก ภูผาทอง
Chulalongkorn University Theses and Dissertations (Chula ETD)
โบรอนคาร์ไบด์เป็นวัสดุที่ได้รับความสนใจอย่างแพร่หลาย เนื่องจากมีความแข็งสูงประกอบกับมีสมบัติเชิงกลและทางกายภาพที่เป็นเลิศ จึงถูกนำไปใช้งานที่ต้องการความทนทานในสภาวะพิเศษหลากหลายด้าน ในงานวิจัยนี้ ผู้วิจัยได้มีความพยายามที่จะสังเคราะห์โบรอนคาร์ไบด์ที่อุณหภูมิต่ำ จากรังไหมและกรดบอริก เนื่องจากรังไหมมีหมู่ฟังก์ชันไฮดรอกซิลภายในโครงสร้าง สามารถสร้างพันธะ B-O-C ระหว่างกระบวนการเตรียมสารผสมตั้งต้นร่วมกับกรดบอริก รังไหมจะถูกจุ่มแช่ในสารละลายกรดบอริก จากนั้นนำไปสังเคราะห์โดยผ่านหรือไม่ผ่านขั้นตอนแคลไซน์ ผลิตภัณฑ์จากการสังเคราะห์ได้ถูกนำมาตรวจสอบองค์ประกอบเฟสด้วยเทคนิคการเลี้ยวเบนของรังสีเอ็กซ์ จากการทดลองปรับเปลี่ยนตัวแปรต่างๆในกระบวนการ พบว่า การจุ่มแช่รังไหม 1 กรัม ในสารละลายที่เตรียมกรดบอริก 2 และ 4 กรัม ในน้ำปราศจากไอออน 150 มิลลิลิตร เป็นเวลา 4 ชั่วโมง ณ อุณหภูมิห้อง เมื่อผ่านการอบและสังเคราะห์ที่อุณหภูมิ 1450 องศาเซลเซียส เป็นเวลา 5 ชั่วโมง ในบรรยากาศก๊าซอาร์กอน องค์ประกอบเฟสของผลิตภัณฑ์ประกอบด้วยโบรอนคาร์ไบด์ โดยมีคาร์บอนปรากฏเป็นเฟสหลักอยู่ในระบบ เมื่อลดอุณหภูมิการสังเคราะห์เป็น 1350 องศาเซลเซียส ไม่พบโบรอนคาร์ไบด์ในองค์ประกอบเฟสของผลิตภัณฑ์ นอกจากนี้ เมื่อนำกระบวนการไฮโดรเทอร์มัลที่ 180 องศาเซลเซียส 4 ชั่วโมง มาใช้ร่วมในการสังเคราะห์ พบว่าไม่สามารถพัฒนาการเกิดเฟสโบรอนคาร์ไบด์ให้เพิ่มขึ้น อย่างไรก็ตาม งานวิจัยในส่วนนี้ยังคงต้องการการศึกษาทดลองเพิ่มเติมเพื่อยืนยันผล
การสังเคราะห์โบรอนคาร์ไบด์จากไตรเมทิลบอเรตและแบคทีเรียเซลลูโลส, รณภูมิ ไชยตระการกิจ
การสังเคราะห์โบรอนคาร์ไบด์จากไตรเมทิลบอเรตและแบคทีเรียเซลลูโลส, รณภูมิ ไชยตระการกิจ
Chulalongkorn University Theses and Dissertations (Chula ETD)
โบรอนคาร์ไบด์เป็นวัสดุเซรามิกที่มีความแข็งสูงมาก และมีสมบัติเชิงกลยอดเยี่ยมที่อุณหภูมิสูง งานวิจัยนี้มีความพยายามที่จะสังเคราะห์โบรอนคาร์ไบด์ที่อุณหภูมิต่ำด้วยวิธีการคาร์โบเทอร์มิกรีดันชัน โดยใช้สารตั้งต้นได้แก่ ไตรเมทิลบอเรตเป็นแหล่งโบรอนและแบคทีเรียเซลลูโลสเป็นแหล่งคาร์บอน จากการตรวจสอบหมู่ฟังก์ชันของสารผสมตั้งต้น พบพันธะ B-O-C ซึ่งเอื้อต่อการเกิดเฟสโบรอนคาร์ไบด์ในผลิตภัณฑ์ จากการตรวจสอบองค์ประกอบเฟสในผลิตภัณฑ์ที่เตรียมสารผสมตั้งต้นโดยใช้น้ำปราศจากไอออนเป็นตัวทำละลายผ่านการสังเคราะห์ที่อุณหภูมิ 1450 องศาเซลเซียส เป็นเวลา 5 ชั่วโมง ในบรรยากาศก๊าซอาร์กอน โดยไม่ผ่านขั้นตอนการเผาแคลไซน์ พบว่ามีโบรอนคาร์ไบด์เป็นเฟสหลัก และยังคงพบคาร์บอนเป็นมลทินในผลิตภัณฑ์ โครงสร้างจุลภาคของผลิตภัณฑ์ที่สังเคราะห์ได้ประกอบด้วยผลึกโบรอนคาร์ไบด์รูปร่างหลายเหลี่ยมขนาด 1-5 ไมครอน เป็นส่วนใหญ่ โดยมีอนุภาครูปร่างคล้ายแบคทีเรียเซลลูโลสที่ยังไม่ได้ทำปฏิกิริยากระจายในโครงสร้าง
Grain Boundary Defect Passivation Of Mixed Cation Perovskite Solar Cell To Improve Device Performance, Sheikh Ifatur Rahman
Grain Boundary Defect Passivation Of Mixed Cation Perovskite Solar Cell To Improve Device Performance, Sheikh Ifatur Rahman
Electronic Theses and Dissertations
Rigorous research on perovskite solar cell for more than ten years all over the world has led the rapid development of perovskite technology giving us device efficiency of 25.2%, surpassing the performance of traditional thin-film solar technologies on small scale devices (<1cm2). Perovskite material has excellent electronic and optical properties making it greatly suitable for PV application. The device fabrication process being simple with low cost and solution processability has led the researchers to visualize high efficiency scalable devices. Due to solution process fabrication method the defects in the materials causes the devices perform less than anticipated. These …1cm
Discharge Coefficients For Rectangular Suppressed And Submerged Sluice Gates, Charles M. Burt, Albert J. Clemmens, Kyle Feist
Discharge Coefficients For Rectangular Suppressed And Submerged Sluice Gates, Charles M. Burt, Albert J. Clemmens, Kyle Feist
BioResource and Agricultural Engineering
Two sizes of sluice gates were tested in submerged conditions with a variety of flow rates and gate openings. A new equation was developed for flow rate prediction.
Video And Image Super-Resolution Via Deep Learning With Attention Mechanism, Xuan Xu
Video And Image Super-Resolution Via Deep Learning With Attention Mechanism, Xuan Xu
Graduate Theses, Dissertations, and Problem Reports (ETD)
Image demosaicing, image super-resolution and video super-resolution are three important tasks in color imaging pipeline. Demosaicing deals with the recovery of missing color information and generation of full-resolution color images from so-called Color filter Array (CFA) such as Bayer pattern. Image super-resolution aims at increasing the spatial resolution and enhance important structures (e.g., edges and textures) in super-resolved images. Both spatial and temporal dependency are important to the task of video super-resolution, which has received increasingly more attention in recent years. Traditional solutions to these three low-level vision tasks lack generalization capability especially for real-world data. Recently, deep learning methods …