Engineering Commons^™

Characteristics And Prediction Methods Of Coal Spontaneous Combustion For Deep Coal Mining In The Ximeng Mining Area, Ma Li, Gao Wenbo, Tuo Longlong, Zhang Pengyu, Zheng Zhou, Guo Ruizhi

Coal Geology & Exploration

Objective The mining of deep coal seams in the Ximeng mining area within the Ordos Basin is subjected to complex environmental conditions like high in-situ stress, large water inflow, and severe air leakage, which lead to the encountered with elevated risks and difficult prediction of coal spontaneous combustion and posing challenges in predicting spontaneous combustion. Methods Coal samples from the Yingpanhao and Shilawusu coal mines in the Ximeng mining area were selected for temperature-programmed spontaneous combustion experiments to determine the characteristic parameters of coal spontaneous combustion under different moisture contents and sulfur mass fractions. Based on these parameters, as well …

Geological Condition Assessment And Selection Of Optimal Favorable Areas For Deep Underground Coal Gasification In The Yanchuannan Block, Li Xin, Chen Zhenlong, Guo Tao, Gao Xiaokang, Xiao Cui, Jin Xiaobo, Wu Caifang, Wang Fangfang

Coal Geology & Exploration

Objective and Methods Geological condition assessment for underground coal gasification (UCG) allows for considerably reducing the risk of UCG projects, while scientific siting serves as a prerequisite for the success of UCG projects. To achieve the geological condition assessment for deep UCG and the selection of optimal favorable areas in the Yanchuannan block, this study quantified the indices of coal quality, coal seam occurrence, surrounding rocks, hydrogeology, and structures in the No.2 coal seam in the study area. Employing the technique for order preference by similarity to an ideal solution (TOPSIS) method, this study performed mathematical assessments and grading of …

A Method For Intelligent Information Extraction Of Coal Fractures Based On Μct And Deep Learning, Hu Zhazha, Zhang Xun, Jin Yi, Gong Linxian, Huang Wenhui, Ren Jianji, Norbert Klitzsch

Coal Geology & Exploration

Objective The fine-scale characterization of fractures in coal reservoirs is significant for the exploration and exploitation of coalbed methane (CBM) resources. Given that the size, orientation, and density of fractures directly affect the permeability of coal seams, the accurate information identification and extraction of fractures in coal seams plays a key role in revealing the formation and propagation mechanisms of fracture networks during reservoir volume fracturing. Conventional methods for fracture information extraction typically rely on manual labeling and feature extraction based on image processing techniques, exhibiting significantly limited accuracy and efficiency. Methods This study proposed a method for fracture information …

Theories, Technologies, And Prospects For The Utilization Of Deep Underground Storage Space, Wei Hengfei, Fang Jie, Shi Junjie, Li Qiuyuan, Yu Beibei, Chen Jing

Coal Geology & Exploration

Background The world's energy utilization has shifted from high-carbon, high-polluting, non-renewable energy to low-carbon, clean, renewable energy. In this process, the utilization of low-carbon, clean energy typified by natural gas, wind power, solar energy, and hydrogen energy needs to be coupled with deep underground storage space (DUSS) to offset their regional constraints and instability. Additionally, low- and zero-carbon technologies like carbon dioxide (CO₂) geological storage also rely on DUSS. Therefore, investigating the theories, technologies, and prospects of DUSS utilization under the low-carbon background will provide significant guidance for efficient DUSS utilization in China. Methods Based on the investigation …

Factors Influencing The Production Of Coalbed Methane From Deep Reservoirs, Wang Zhenzhi, Fu Xuehai, Pan Jienan, Jin Yi, Wang Haichao

Coal Geology & Exploration

Objective The production characteristics of coalbed methane (CBM) from deep reservoirs differ significantly from those of CBM from shallow reservoirs. Key challenges in deep CBM production include maintaining reservoir permeability or minimizing permeability loss, enhancing CBM (CH₄) desorption efficiency, and accurately predicting the laws of CH₄ diffusion. There is an urgent need to overcome these challenges through technological innovation and theoretical research. Methods This study systematically analyzed the advances in domestic and international research on coal reservoir permeability, CBM desorption, and CBM diffusion. By integrating the classification of production stages of deep coal reservoirs with the dominant …

Migration Characteristics And Storage Forms Of Liquid And Supercritical Co2 In Saline Aquifers, Peng Xiyi, Wang Yanyong, Li Song, Wang Xiaoguang, Cui Guodong, He Yongming

Coal Geology & Exploration

Objective CO₂ storage in saline aquifers serves as a critical technology used to dramatically reduce greenhouse gas emissions. Owing to the low-temperature marine environment and the pressure from overlying seawater, shallow offshore saline aquifers exhibit significantly different temperature and pressure conditions compared to onshore saline aquifers at equivalent burial depths, allowing CO₂ to occur in a liquid state. Compared to supercritical CO₂, liquid CO₂ features higher density, viscosity, and solubility in formation water, which affect the CO₂ migration and storage processes. Previous studies focus primarily on supercritical CO₂, lacking a deep understanding …

Developmental Patterns And Formation And Evolutionary Mechanisms Of Surface Cracks Induced By The Mining Of Shallowly Buried Coal Seams, Hou Enke, Mu Jiaxin, Xie Xiaoshen, Feng Dong, Yang Lei, Li Yan, He Tao, Bao Kangguang, Chen Xiaosheng

Coal Geology & Exploration

Objective Surface cracks are recognized as one of the most common geologic hazards in coal mining areas in northern Shaanxi Province. These cracks directly cause damage to surface ecosystems. Furthermore, those penetrating fractures in the overburden act as primary channels for surface water to burst underground, threatening the safe production underground. Methods This study aims to further reveal the developmental patterns of surface cracks induced by the mining of shallowly buried coal seams and elucidate their formation and evolutionary mechanisms. To this end, this study investigated mining face 15218 and 25213 in the Hongliulin Coal Mine in northern Shaanxi. Specifically, …

Deformation Characteristics And Influential Factors Of The Surface Uplift Of Closed Mines, Luo Jin, Li Yingming, Guo Qingbiao, Zhao Guangming

Coal Geology & Exploration

Objective The residual surface deformations of closed mines exhibit prolonged duration and complex evolutionary processes, potentially leading to unconventional phenomena like surface uplift, which affects the re-exploitation and reutilization of closed mines. Methods This investigated a mining area in Huainan, Anhui Province as an example to explore the deformation mechanisms, characteristics, and influential factors of the surface uplift of closed mines. Through numerical simulations, this study analyzed the propagation process of surface uplift with an increase in the groundwater level. Accordingly, this study investigated the quantitative impacts of the mining height, groundwater level, and rock strength of the caving zone …

Strength And Damage Characteristics Of Cemented Gangue Backfill During Saturated Immersion, Yu Xiang, Yang Ke, He Xiang, Hou Yongqiang, Wen Zhiqiang, Zhang Lianfu

Coal Geology & Exploration

Objective Under the influence of backfill slurry, water inrushes in mining face, and water accumulation in goaves, the water content in cemented gangue backfill varies with the immersion time, thus altering the bearing performance of the backfill. Investigating the strength and damage characteristics of cemented gangue backfill during saturated immersion is crucial for maintaining the stability of the backfill and ensuring the safety of coal mines. Methods Using uniaxial compression tests and scanning electron microscopy (SEM) of cemented gangue backfill during saturated immersion, this study analyzed the law of changes in the backfill strength under varying immersion times. Based on …

Response Characteristics Of The Orthogonal Antennas Of Electromagnetic Azimuthal Resistivity Measurement While Drilling (Mwd) Tool For Coal Mining, Chen Gang

Coal Geology & Exploration

Objective and Methods This study aims to determine the factors influencing the detection performance of the electromagnetic azimuthal resistivity measurement while drilling (MWD) tool for coal mining in horizontal wells. Through finite element numerical simulations, this study conducted boundary detection using orthogonal coupling coils with multiple frequencies and coil pitches. This allowed for determining the optimal asymmetric arrangement of coils, as well as the optimal working parameters of frequency, source-detector separation distance, and coil pitch suitable for high-resistivity coal seams. Results and Conclusions The comparative study of orthogonal and inclined coils reveals that in the case of directional signals of …

A Method For High-Accuracy Localization Of Microseismic Sources In Mines Based On Finite Element Simulation, Ning Dianyan, Zhu Kaipeng, Zhu Yongsheng, Yuan Shuxia, Zhou Zhenfang

Coal Geology & Exploration

Objective and Methods Microseismic monitoring technology for mines can reflect the deformations and failure of rock layers by capturing low-frequency vibration signals their internal structure generated during the stress-induced deformation and failure of them. Accordingly, water inrush warnings and geologic hazard prediction can be achieved. Acoustic source localization, allowing for the localization of energy release and the early warning of potential hazards, plays a key role in this technology. Presently, when used for acoustic source localization, the time difference of arrival (TDOA) method is facing issues including high algorithmic complexity, significant impacts of probe arrangement on the localization accuracy, and …

A Temporal Fusion Method For Modeling The Rate Of Penetration During Deep Geological Drilling, Zhou Yang, Lu Chengda, Wu Min, Chen Xin, Yao Ningping, Song Haitao, Zhang Youzhen

Coal Geology & Exploration

Objective Given that the rate of penetration (ROP) serves as a key indicator of drilling efficiency, constructing an accurate ROP model holds great significance for optimizing drilling processes and reducing drilling costs. However, deep geological drilling faces challenges such as nonlinearity, non-convex optimization, multiple operating conditions, and temporal variations. Consequently, traditional modeling methods are difficult to adapt to complex geologic environments. Methods To address these challenges, this study proposed a fusion method combined with temporal regulation for ROP modeling: the SVR-MDBO method. Initially, a basic ROP model was constructed using support vector regression (SVR) to solve the nonlinear problem caused …

Frequency-Domain Induced Polarization Responses Of Water-Bearing Anomalous Bodies In The Roadway Tunneling Direction In Coal Mines, Hu Xiongwu, Hu Yuanrong, Wu Rongxin, Yu Hao

Coal Geology & Exploration

Objective A frequency-domain induced polarization (FDIP) method enables the observation of critical electrical parameters such as frequency dispersivity and complex resistivity of geological bodies, mitigating the multiplicity of solutions in the interpretations of electrical anomalies. This method has emerged as a primary technique for electric method-based advance water detection during roadway tunneling in coal mines. However, the FDIP method primarily focuses on data observation in the direction opposite to roadway tunneling, exhibiting a limited capacity to capture geoelectric information in the roadway tunneling direction. This leads to practical challenges such as unclear orientations of water-bearing anomalous bodies. Therefore, exploring the …

Fatigue Behaviour Of Al 6063 Alloy In Heat Treated, Deep Cryogenic Treated And Equal Channel Angular Pressing (Ecap) Processed Conditions, Sreearravind M

Theses and Dissertations

This research focuses on improving the Low Cycle Fatigue (LCF) life of Al6063 using three different processing techniques – Heat Treatment (HT), Deep Cryogenic Treatment (DCT), and Equal Channel Angular Pressing (ECAP). Al 6063, widely used in structural applications, has limited fatigue performance, necessitating the exploration of advanced processing techniques to enhance its LCF life.

In HT phase, Al 6063 T5 samples were subjected to solid solution HT followed by air and water quenching. The air-quenched (T6A) and water-quenched (T6W) samples were subjected to precipitation hardening. The Ultimate Tensile Strength (UTS) of the T6A sample increased to 188 MPa from …

Flow Dynamics Of Agricultural Waste Nanofibers: Shear, Temperature, And Oscillatory Insights, Bilge N. Altay, Burak Aksoy, James Atkinson, Christopher Lewis, Carlos Diaz-Acosta, Raymond Francis

Articles

The rheology and fiber size of corn stover (CS) and cleaned cotton gin trash (CGT) cellulose nanofibers (CNFs) were studied including behaviors at both moderate and extremely high shear rates, to simulate industrial processes ranging from mixing and pumping to high-speed coating, printing, and extrusion. Particle size analyzer showed that 99% of CS fibers measured around 226 nm, while 85% of CGT fibers were approximately 143 nm. Both CS and CGT CNFs formed gel-like suspensions, and shear flow tests revealed that all samples exhibited shear-thinning behavior, allowing easy flow under shear forces. Gels with higher solid content (1%) demonstrated extended …

Numerical Analyses Of Construction Materials At Different Scales For Improved Resilience And Sustainability Of Civil Infrastructures, Chenchen Huang

Theses and Dissertations

The resilience and sustainability of civil infrastructure are fundamental to supporting modern society in the face of growing environmental challenges and resource limitations. This study aims to use multi-scale numerical tools to evaluate mechanical performance of different construction materials under various environmental and loading conditions. Firstly, we adopt the discrete element method (DEM) to evaluate the influence of freeze-thaw cycles (FTCs) action on the mechanical properties of rock from the micro perspective. A simplified plastic model is proposed to capture the residual deformation produced during FTCs. To further explore the deterioration of FTCs on rock, the water-contained grain-based model (GBM) …

Immersive Modeling To Communicate And Manage Risks Of Water Shortages, David Rosenberg, Erki Porse

Civil and Environmental Engineering Faculty Publications

Our project goal is to use immersive online collaborative modeling as a tool for active learning to communicate and manage users conflicting risks of water shortages because decisions now to manage risk effect future risk. State-of-the art river basin forecasting tools provide probabilistic estimates of streamflow at hourly to annual scales. Water resource models quantify tradeoffs and risk across hundreds or thousands of scenarios of inflow and demand forecast out decades. Our project objectives are: 1) Formulate extreme scenarios for reservoir inflows without probabilities one to three years out that pose imminent risk of water shortages. 2) Hold immersive model …

Power System Operations Modeling And Optimization Using Pyomo, Ahmad Heidari, Rui Bo

Graduate Student Research & Creative Works

"The energy sector has witnessed transformative advancements over the past few decades. Power systems, which form the backbone of modern society, have grown increasingly complex with the integration of renewable energy sources, energy storage, and emerging technologies. As these systems evolve, so does the need for efficient operation and optimization strategies to ensure reliability, sustainability, and economic performance.

Optimization plays a central role in solving real-world challenges such as balancing power generation and demand, minimizing operational costs, and managing grid constraints. However, many existing resources tend to focus either on theoretical aspects of optimization or rely on expensive, proprietary software …

Potential Of Individual Upper-Limb Muscles To Contribute To Postural Tremor: Simulations From Neural Drive To Joint Rotation, Spencer A. Baker, Landon J. Beutler, Daniel B. Free, Dario Farina, Steven Knight Charles

Faculty Publications

Background: It is unclear which muscles contribute most to tremor and should therefore be targeted by tremor suppression methods. Previous studies used mathematical models to investigate how upper-limb biomechanics affect muscles’ potential to generate tremor. These investigations yielded principles, but the models included at most only 15 muscles. Here we expand previous models to include 50 upper-limb muscles, simulate tremor propagation, and test the validity of the previously postulated principles. Methods: Tremor propagation was characterized using the gains between tremorogenic neural drive to the 50 muscles (inputs) and tremulous joint rotations in the 7 joint degreesof- freedom (DOF) from shoulder …

Deployable Origami Structure, David J. Garcia, Robert Bettinger

AFIT Patents

The present invention relates to deployable origami structures and methods of making and using same. Such deployable origami structures can be folded into a compact state utilizing origami, yet easily deployed as the structures comprise pseudo-elastic connectors. Additive manufacturing techniques can be used to make such deployable origami structures as such techniques can lower cost and structure weight.

Processing Parameter-Performance Nexus In 3d Printing Of Nanostructured Chiral Photonics, Kyle George, Nader Taheri-Qazvini, Peter D. Olmsted, Monirosadat Sadati

Faculty Publications

Precisely crafted hierarchical architectures found in naturally derived biomaterials underpin the exceptional performance and functionality showcased by the host organism. In particular, layered helical assemblies composed of cellulose, chitin, or collagen serve as the foundation for some of the most mechanically robust and visually striking natural materials. By utilizing structured materials in additive manufacturing techniques such as extrusion-based 3D printing, the intrinsic deformation process can be used to implement bottom-up design of printed constructs, offering the potential to create intricate macroscale geometries with embedded nanoscale functionality. In this study, comprehensive rheological and rheo-optical characterization of structurally colored, photocurable liquid crystalline …

The Effects Of Transportation Distribution On The Performance Of Insulated Thermal Containers, Edmund B. Tang

Journal of Applied Packaging Research

This research examines the effect of simulated transportation distribution testing on insulated thermal containers, also known as cold chain shippers. This study compares the thermal performance of an insulated thermal container in its ideal pristine condition with no external factors that challenge the integrity of the package to insulated thermal containers that are subjected to common and acceptable test inputs using established and accepted industry package performance and simulation standards. Currently, little research evaluates the thermal performance of insulated thermal containers after simulated distribution testing. A total of nine different real-world scenarios using test standards of varying severities or other …

Numerical Simulation Of Airflow Properties Of The Naca 6420 Airfoil Using The Transition Rans K-Ε Model, Oluwaseyi O. Alabi, Saidat A. Salisu, Oyeyemi T. Aforolagba -Balogun, Temitope A. Ladigbolu, Ayotunde O. Fasina, Anas Bala

Al-Bahir

This study investigates the airflow properties around the airfoil using numerical simulation, addressing the longstanding challenge of accurately predicting transition phenomena in turbulent flows. The importance of this research lies in its potential to improve the design and performance of airfoils in various engineering applications, such as wind turbines, and aircraft. A custom 2-dimensional airfoil model was created using Airfoil instruments, featuring a 6% maximum curvature, 40% curvature position, and 20% thickness. COMSOL Multiphysics software performed computations at a velocity of over 19 hours, with data analyzed at 60-minute intervals. The Transition turbulent model was employed to simulate the airflow …

Increasing Guard Band Size To Decrease Interference In V2x Communication, Nakira Oglesby, Mackenzie Prescott, Billy Kihei, Ph.D.

Symposium of Student Scholars

As technologies evolve and new devices are introduced, the demand for fast and reliable vehicle-to-everything (V2X) communication increases. As this demand increases, the interference level in the 5.9GHz Dedicated Short Range Communications (DSRC) band will inevitably increase. And thus, the task of somehow minimizing this interference becomes increasingly important as time passes. This report investigates the effects of increasing the guard band size of the lower 5.9 GHz DSRC band on the adjacent channel interference from Unlicensed National Information Infrastructure 4 band (U-NII-4) devices and to try and see if there is a significant decrease in the interference level. The …

In-Situ Thermal Measurement Of Polymers, Carson Powers, Jungkyu Park, Dal Hyung Kim, Fahim Dorsey, Peter Bearden

Symposium of Student Scholars

In this research, we conducted a detailed experimental

investigation into how strain affects the thermal conductivity of

Ecoflex elastomer, utilizing a newly developed method for

measuring thermal conductivity under mechanical strain for the

first time. In situ thermal conductivity measurement apparatus

was developed by combining the KLA T150 nanoscale tensile tester

and a custom-fabricated thermal measurement sensor. The

development of an experimental method for measuring the thermal

conductivity of nanomaterials under mechanical testing

simultaneously will contribute to the development of novel

materials for flexible electronics by helping us to better

understand the strain effect on their thermal performance.

Interestingly, the …

Impact Of Node Failures On Productivity In Multilayer Supply Chain Networks: An Influence Network Analysis In The Indian Electronics Sector, Surendra Orupalli, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

Supply chain networks are essential for the delivery of goods and information, but disruptions such as natural disasters or trade embargoes can severely impact them. Resilience of entire networks under different types of disruptions when nodes or edges fail has been extensively studied. However, the extent to which the failure of a particular company affects another company of interest within a network has not been widely explored. To address this, we created a multilayer physical supply chain network of companies in an electronics supply chain concentrated in India. Through systematic node removal simulations, we examined how the productivity of one …

Comparative Evaluation Of Linear Regression, Cross Validation And Regularization Approaches In Multivariate Data Analysis, Ransford Owusu, Felix Yeboah, Francis Effah Boateng

Data Science and Data Mining

This study evaluates linear regression and its enhanced variants incorporating cross-validation and regularization techniques for high-dimensional, multivariate datasets. We address challenges such as multicollinearity and overfitting. Methods including Ridge, LASSO, and Elastic Net are compared against ordinary least squares regression. Empirical analysis using an automobile dataset for fuel efficiency prediction shows that while OLS regression captures basic relationships, its limitations are mitigated through regularization and cross-validation, resulting in improved model interpretability. The findings provide a comprehensive framework for predictive modeling in complex data environments and offer insights into statistical methodology and practical applications in the automobile industry.

A Novel Preprocessing Model For Multi Modal Brain Mri Image Classification For Stroke Prognosis, Alwin Joseph, Chandra J

Northeast Journal of Complex Systems (NEJCS)

Magnetic Resonance Imaging (MRI) is an imaging technique used for the diagnosis and observing the progression in various neurological disorders. Stroke is one of the prominent neurological disorders that creates significant impacts in the patients. It occurs when the blood supply to part of the brain is interrupted or reduced, preventing brain tissues from getting oxygen and nutrients. Multimodal data from various modalities help clinicians in proper prognosis of stroke. Ischemic Stroke Lesion Segmentation Challenge (ISLES22) provides data of stroke data for various stroke patients, the dataset consists of three modalities of data – Fluid Attenuated Inversion Recovery (FLAIR), Apparent …

Classification Of Microcontroller Integrated Circuit On The Pocket Of Jedec Tray Using Convolutional Neural Network In Embedded Machine Learning System, Mark Pallones, King Harold A. Recto

Electronics, Computer, and Communications Engineering Faculty Publications

One serious issue in the microcontroller manufacturing environment is the mixing of microcontroller unit (MCU) parts, leading to the wastage of materials, dissatisfied customers, and the implementation of non-value-adding activities to address it. More adverse effects include negative feedback from customers, loss of confidence, and impact on business growth. One root cause traces back to the final testing of the manufacturing back-end process when reusing unemptied standard JEDEC matrix trays for good and bad units in the test handler. Currently, emptying the JEDEC matrix tray and inspecting it is a manual process prone to human error due to high-volume test …

Microfabrication Of Sic Using Femtosecond Lasers, Jared Eldon Payne

Theses and Dissertations

Silicon carbide (SiC) is a desirable material in a wide variety of semiconductor fields. The impressive thermal, chemical, and mechanical properties that make SiC an attractive material also make it very difficult to machine. New fabrication techniques are required to take full advantage of the potential of SiC. First, a new 3-dimensional (3D) non-line-of-sight (NLOS) fabrication technique using two-photon absorption is demonstrated in SiC. NLOS microchannels are shown with aspect ratios higher than 100:1. The process is the only method known, at this time, that can create truly 3D subsurface structures in SiC without direct line of sight to the …