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Articles 4231 - 4260 of 21795
Full-Text Articles in Engineering
In-Situ Local Part Qualification Of Slm 304l Stainless Steel Through Voxel Based Processing Of Swir Imaging Data, Cody S. Lough, Xin Wang, Robert G. Landers, Douglas A. Bristow, James A. Drallmeier, Edward C. Kinzel
In-Situ Local Part Qualification Of Slm 304l Stainless Steel Through Voxel Based Processing Of Swir Imaging Data, Cody S. Lough, Xin Wang, Robert G. Landers, Douglas A. Bristow, James A. Drallmeier, Edward C. Kinzel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper demonstrates the potential for qualification through local part property prediction of 304L stainless steel parts manufactured by Selective Laser Melting (SLM). This is accomplished through voxel based processing of SWIR imaging data measured in-situ. Thermal features are extracted from time-series SWIR imaging data recorded from layer-to-layer to generate 3D point cloud reconstructions of parts. The voxel based data is indexed with localized measurements of SLM part properties (light-to-dark microstructural feature ratio, microhardness, μCT data) to demonstrate the correlations. Various features are extracted from the thermal history for comparison of their respective abilities to predict the resulting local part …
Compressive And Bending Performance Of Selectively Laser Melted Alsi10mg Structures, D. Murphy, O. Fashanu, Myranda Spratt, Joseph William Newkirk, K. Chandrashekhara, H. Misak, D. Klenosky
Compressive And Bending Performance Of Selectively Laser Melted Alsi10mg Structures, D. Murphy, O. Fashanu, Myranda Spratt, Joseph William Newkirk, K. Chandrashekhara, H. Misak, D. Klenosky
Materials Science and Engineering Faculty Research & Creative Works
Selective laser melting (SLM) is a widely used additive manufacturing technique that effectively manufactures complex geometries such as cellular structures. However, challenges such as anisotropy and mechanical property variation are commonly found due to process parameters. In a bid to utilize this method for the commercial production of cellular structures, it is important to understand the behavior of a material under different loading conditions. In this work, the behavior of additively manufactured AlSi10Mg under compression, bending, and tension loads was investigated. Vertical and horizontal build directions are compared for each type of loading. Specimens were manufactured using the reduced build …
Comparison Of Fatigue Performance Between Additively Manufactured And Wrought 304l Stainless Steel Using A Novel Fatigue Test Setup, M. M. Parvez, Y. Chen, Joseph William Newkirk, Frank W. Liou
Comparison Of Fatigue Performance Between Additively Manufactured And Wrought 304l Stainless Steel Using A Novel Fatigue Test Setup, M. M. Parvez, Y. Chen, Joseph William Newkirk, Frank W. Liou
Materials Science and Engineering Faculty Research & Creative Works
In this research, a novel adaptive controlled fatigue testing machine was designed for bending type high cycle fatigue test. A unique dual gauge section Krouse type mini specimen was designed for simply supported transverse bending. Displacement controlled fatigue tests were implemented using an electromechanical actuator. The variation in the control signal and load observed during the test provides unique insights into realizing the deterioration of the specimen due to fatigue. These analyses were utilized to compare the fatigue performance of wrought and additively manufactured 304L stainless steel. The influence of the build direction on fatigue performance was also investigated by …
Effective Elastic Properties Of Additively Manufactured Metallic Lattice Structures: Unit-Cell Modeling, Okanmisope Fashanu, David Murphy, Myranda Spratt, Joseph William Newkirk, K. Chandrashekhara, Ben Brown, John Porter
Effective Elastic Properties Of Additively Manufactured Metallic Lattice Structures: Unit-Cell Modeling, Okanmisope Fashanu, David Murphy, Myranda Spratt, Joseph William Newkirk, K. Chandrashekhara, Ben Brown, John Porter
Materials Science and Engineering Faculty Research & Creative Works
Lattice structures are lightweight materials, which exhibit a unique combination of properties such as air and water permeability, energy and acoustic absorption, low thermal conductivity, and electrical insulation. In this work, unit-cell homogenization was used to predict the effective elastic moduli of octet-truss (OT) lattice structures manufactured using selective laser melting (SLM). OT structures were manufactured using a Renishaw AM 250 SLM machine with various relative densities. Compression test was carried out at strain rate 5 x 10-3 m-1 using an MTS frame. Finite element analysis was used in the determination of the OT’s effective elastic properties. Results …
Dynamic Defect Detection In Additively Manufactured Parts Using Fea Simulation, Kevin Johnson, Aimee Allen, Jason R. Blough, Andrew Barnard, David Labyak, Troy Hartwig, Ben Brown, David Soine, Tristan Cullom, Edward C. Kinzel, Douglas A. Bristow, Robert G. Landers
Dynamic Defect Detection In Additively Manufactured Parts Using Fea Simulation, Kevin Johnson, Aimee Allen, Jason R. Blough, Andrew Barnard, David Labyak, Troy Hartwig, Ben Brown, David Soine, Tristan Cullom, Edward C. Kinzel, Douglas A. Bristow, Robert G. Landers
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The goal of this paper is to evaluate internal defects in additively manufactured (AM) parts using FEA simulation. The resonant frequencies of parts are determined by the stiffness and mass involved in the mode shape at each resonant frequency. Voids in AM parts will change the stiffness and mass therefore shift the resonant frequencies from nominal. This paper will investigate the use of FEA to determine how much a void size, shape, and location will change the resonant frequencies. Along with where the optimal input and response locations are in order to find these frequency changes. The AM part evaluated …
Frequency Domain Measurements Of Melt Pool Recoil Pressure Using Modal Analysis And Prospects For In-Situ Non-Destructive Testing, Tristan Cullom, Nicholas Altese, Douglas A. Bristow, Robert G. Landers, Ben Brown, Troy Hartwig, David Soine, Aimee Allen, Andrew Barnard, Jason Blough, Kevin Johnson, Edward C. Kinzel
Frequency Domain Measurements Of Melt Pool Recoil Pressure Using Modal Analysis And Prospects For In-Situ Non-Destructive Testing, Tristan Cullom, Nicholas Altese, Douglas A. Bristow, Robert G. Landers, Ben Brown, Troy Hartwig, David Soine, Aimee Allen, Andrew Barnard, Jason Blough, Kevin Johnson, Edward C. Kinzel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Fielding Additively Manufactured (AM) parts requires evaluating both the part’s geometry and material state. This includes geometry that may be optically hidden. Both the geometry and material state affect the vibration response of the parts and modal analysis (identifying natural frequencies) has been shown to be effective for at least simple geometries using ex-situ methods (shaker table and impact hammer excitations). This paper investigates evaluation of the frequency response of metal parts inside the build chamber using the process laser to excite the parts during printing (Renishaw AM250). Vibrations in the part are measured with accelerometers connected to the build …
The Effect Of Cell Size And Surface Roughness On The Compressive Properties Of Abs Lattice Structures Fabricated By Fused Deposition Modeling, Leah Mason, Ming-Chuan Leu
The Effect Of Cell Size And Surface Roughness On The Compressive Properties Of Abs Lattice Structures Fabricated By Fused Deposition Modeling, Leah Mason, Ming-Chuan Leu
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Researchers looking to improve the surface roughness of acrylonitrile butadiene styrene (ABS) parts fabricated by fused deposition modeling (FDM) have determined that acetone smoothing not only achieves improved surface roughness but increases compressive strength as well. However, the sensitivity of ABS parts to acetone smoothing has not been explored. In this study we investigated FDM-fabricated ABS lattice structures of various cell sizes subjected to cold acetone vapor smoothing to determine the combined effect of cell size and acetone smoothing on the compressive properties of the lattice structures. The acetone-smoothed specimens performed better than the as-built specimens in both compression modulus …
Application Of Schlieren Technique In Additive Manufacturing: A Review, R. Bharadwaja, Aravind Murugan, Yitao Chen, Frank W. Liou
Application Of Schlieren Technique In Additive Manufacturing: A Review, R. Bharadwaja, Aravind Murugan, Yitao Chen, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Additive manufacturing has gained a lot of attention in the past few decades due to its significant advantages in terms of design freedom, lower lead time, and ability to produce complex shapes. One of the pivotal factors affecting the process stability and hence the part quality is the shielding gas flow in additive manufacturing. As extremely beneficial for the process, the shielding gas flow is often set at maximum supply to achieve enough gas cover over the substrate. This causes excessive quantity of shielding gas to be unutilized. Realizing the importance of shielding gas, various studies have been carried out …
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Additive Manufacturing (AM) simplifies the fabrication of complex geometries. Its scope has rapidly expanded from the fabrication of pre-production visualization models to the manufacturing of end use parts driving the need for better part quality assurance in the additively manufactured parts. Machine learning (ML) is one of the promising techniques that can be used to achieve this goal. Current research in this field includes the use of supervised and unsupervised ML algorithms for quality control and prediction of mechanical properties of AM parts. This paper explores the applications of supervised learning algorithms - Support Vector Machines and Random Forests. Support …
Part Remanufacturing Using Hybrid Manufacturing Processes, Xinchang Zhang, Frank W. Liou
Part Remanufacturing Using Hybrid Manufacturing Processes, Xinchang Zhang, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Many users of high-performance metal parts, such as the aerospace industry, the mold/die casting industry, and heavy machinery consumers, extend the service of these damaged parts by employing remanufacturing technology. Additive manufacturing has unique capabilities, such as low heat input, a small heat-affected zone, free-form fabrication, and a near-net-shape. This paper summarizes the effort and the tested results to achieve an automated remanufacturing process using hybrid additive manufacturing and CNC machining processes. It will enable the robust remanufacturing-on-demand to significantly increase operational availability to reduce sustainment costs, thus will lead to robust and quality remanufacturing that is critical for remanufacturing …
Defect Detection Of Concrete Structures Through Sounding Data Analytics, Ran Cao, Anil K. Agrawal
Defect Detection Of Concrete Structures Through Sounding Data Analytics, Ran Cao, Anil K. Agrawal
INSPIRE-UTC Annual Meetings
Impact sounding has been recognized as an effective technique to detect delamination in concrete structures, such as concrete decks. An enormous amount of sounding data can be generated/collected by the autonomous inspection systems equipped with impactors and microphones. However, the main challenge in the practical application of this technology is the development of advanced data analysis approaches for identifying defects from impact sounding data. In this study, the empirical mode decomposition (EMD) analysis and power-spectral density (PSD) analysis are combined to extract useful features of sounding data generated by the impact hammer. It has been found that the EMD method …
Image Data Analytics To Support Engineers’ Decision-Making, Tianyi Zhao, Zhaozheng Yin, Ruwen Qin, Genda Chen
Image Data Analytics To Support Engineers’ Decision-Making, Tianyi Zhao, Zhaozheng Yin, Ruwen Qin, Genda Chen
INSPIRE-UTC Annual Meetings
Robots such as drones have been leveraged to perform structure health inspection such as bridge inspection. Big data of inspection videos can be collected by cameras mounted on drones. In this project, we develop image analysis algorithms to support bridge engineers to analyze the big video data. Bridge engineers define the region of interest initially, then the algorithm retrieves all related regions in the video, which facilitates the engineers to inspect the bridge rather than exhaustively check every frame of the video. To perform this task, we propose a Multi-scale Siamese Neural Network. The network is initially trained by one-shot …
Updating Bridge Resilience Assessment Based On Corrosion And Foundation Scour Inspection Data, Yijian Zhang, Reginald Desroches, Iris Tien
Updating Bridge Resilience Assessment Based On Corrosion And Foundation Scour Inspection Data, Yijian Zhang, Reginald Desroches, Iris Tien
INSPIRE-UTC Annual Meetings
Aging and degradation of bridge structural components due to corrosion and scour create severe safety issues in the structural system and can lead to possible bridge failures. Collecting and analyzing inspection data provide a way to monitor and assess the safety condition of bridges. This paper proposes a framework to utilize collected inspection data to assess the condition of a bridge through updating both component- and system-level fragility curves of the bridge. Particularly, collected data such as mass loss of reinforcement and depth of scour hole are utilized to update the mechanical properties of structural members in the finite element …
Distributed Strain Measurements In A Steel-Concrete Composite Floor Beam Under Multi-Point Loading At Ambient Temperature, Matthew A. Klegseth, Yi Bao, Liang Fan, Genda Chen
Distributed Strain Measurements In A Steel-Concrete Composite Floor Beam Under Multi-Point Loading At Ambient Temperature, Matthew A. Klegseth, Yi Bao, Liang Fan, Genda Chen
INSPIRE-UTC Annual Meetings
A 12.8 m-long composite floor beam consisting of a steel reinforced concrete slab with profiled metal decking supported by a W18×35 steel beam was tested under multi-point bending load at ambient temperature. Material strain and temperature were measured using fiber optic sensors. Measurements were taken along more than 150 m of fiber optic cables using Pre-Pump Pulse Brillouin Optical Time Domain Analysis (PPP-BOTDA) and Optical Frequency Domain Reflectometry (OFDR). Along the beam centerline, three strain and two temperature fiber loops were placed to characterize the strain and temperature distribution along and through the depth of the concrete slab. The neutral …
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
INSPIRE-UTC Annual Meetings
In this study, the recently-proposed adaptive wavelet transform (AWT) and synchro-squeezed adaptive wavelet transform (SSAWT) are introduced with their optimum transformation parameters automatically searched to derive at a desirable time-frequency representation of any dynamic response. The AWT enables the selectivity of time and frequency resolution in a domain of interest and the synchro-squeezing algorithm reduces the dispersion of a scalogram of the AWT, facilitating an accurate extraction of frequency features over time. The effectiveness of AWT is first demonstrated with an illustrative signal of four time segments covering various frequency distribution cases. In comparison with conventional wavelet transform, the AWT …
Proceedings Of The 9th International Conference On Structural Health, Monitoring Of Intelligent Infrastructure: Transferring Research Into Practice, International Society For Structural Health Monitoring Of Intelligent Infrastructure (Ishmii), Genda Chen, Sreenivas Alampalli
Proceedings Of The 9th International Conference On Structural Health, Monitoring Of Intelligent Infrastructure: Transferring Research Into Practice, International Society For Structural Health Monitoring Of Intelligent Infrastructure (Ishmii), Genda Chen, Sreenivas Alampalli
INSPIRE Conference Contributions
No abstract provided.
Evaluations Of Multiple Non-Destructive Techniques On Top And Bottom Surfaces Of A Reinforced Concrete Bridge Deck, Abdullah Alhaj, Hongya Qu, Haibin Zhang, Genda Chen, Neil Lennart Anderson, Evgeniy V. Torgashov
Evaluations Of Multiple Non-Destructive Techniques On Top And Bottom Surfaces Of A Reinforced Concrete Bridge Deck, Abdullah Alhaj, Hongya Qu, Haibin Zhang, Genda Chen, Neil Lennart Anderson, Evgeniy V. Torgashov
INSPIRE-UTC Annual Meetings
This study is intended to assess the integrity of a reinforced concrete bridge deck at the Missouri S&T campus using non-destructive testing (NDT) methods performed at top and bottom surfaces of the bridge deck. These utilized methods are named ground generating radar (GPR), impact echo (IE), and ultrasonic surface waves (USW). GPR was applied using 1.6 GHz and 2.5 GHz antennas to transmit and receive electromagnetic radio waves at embedded concrete reinforcement or distinct contacts between solid and loose concrete materials with different dielectric properties. Due to significant variations of the apparent depth to top of the embedded reinforcing steel …
Microwave High-Resolution 3d Sar Imaging Of Corroded Reinforcing Steel Bars In Mortar Subjected To Accelerated Electrochemical Corrosion, Chao Liu, Stephona Barker, Liang Fan, Mohammad Tayeb Ahmad Ghasr, Genda Chen, R. Zoughi
Microwave High-Resolution 3d Sar Imaging Of Corroded Reinforcing Steel Bars In Mortar Subjected To Accelerated Electrochemical Corrosion, Chao Liu, Stephona Barker, Liang Fan, Mohammad Tayeb Ahmad Ghasr, Genda Chen, R. Zoughi
INSPIRE-UTC Annual Meetings
Corrosion of reinforcing steel bars (rebars) embedded in concrete is a significant maintenance, rehabilitation and safety issue as it relates to the overall health of concrete structures, particularly those subjected to cyclical chloride attack. Over the years several inspection methods have been used to detect and assess this corrosion with limited success. Wideband microwave imaging, using synthetic aperture radar (SAR) techniques, has shown great potential for producing 3D images of structures containing rebars. Although these investigations have shown great promise, a methodical approach to investigate the overall efficacy of this imaging technique has not yet taken place. Steel corrosion byproduct …
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
INSPIRE-UTC Annual Meetings
Hyperspectral imaging represents an electromagnetic spectrum for each pixel in the image of a structural surface. The characteristic wavelength of the spectrum at reflectance valleys or absorption peaks can be used as a spectral feature for certain chemical detection. In this study, spectral reflectance characteristics of mortar samples are extracted to assess the reduction of moisture on the surface of mortar samples during the cement hydration process. The test results indicate that the reflectance increases and the absorbance decreases because water is reacted and less light will be absorbed during the hydration process. The average absorbance between 1923 nm and …
Thermally-Stable Passive Wireless Antenna Sensor For Strain Sensing, Dan Li, Yang Wang
Thermally-Stable Passive Wireless Antenna Sensor For Strain Sensing, Dan Li, Yang Wang
INSPIRE-UTC Annual Meetings
Passive wireless antenna sensors have been studied in recent years as a novel approach for strain sensing. Electromagnetic resonance frequency of the antenna sensor, which is bonded on a base structural surface like a strain gage, depends on antenna dimension. When the dimension changes due to strain in the base structure, the wirelessly identified resonance frequency shift can be used to estimate the strain in the structure. Due to the multi-physics nature, both mechanical and dielectric properties of the antenna affect the resonance frequency. One drawback of previous antenna sensors is the relatively large resonance frequency fluctuation due to temperature …
Corrosion Induced Mass Loss Measurement Under Various Strain Levels Through Gr/Agnw-Based, Fe-C Coated Lpfg Sensors, Chanrui Guo, Liang Fan, Genda Chen
Corrosion Induced Mass Loss Measurement Under Various Strain Levels Through Gr/Agnw-Based, Fe-C Coated Lpfg Sensors, Chanrui Guo, Liang Fan, Genda Chen
INSPIRE-UTC Annual Meetings
In this study, three Gr/AgNW-based, Fe-C coated long period fiber gratings (LPFG) corrosion sensors were prepared and tested for corrosion-induced mass loss measurements under various strain levels. Graphene grew on a copper foil using a low pressure chemical vapor deposition, was transferred to the curve surface of each LPFG sensor, and strengthened by silver nanowire (AgNW) for a more robust electroplating process of the Fe-C layer. The three Fe-C coated LPFG sensors were subjected to three different strain levels: 0, 500 and 1000 με. The sensors were immersed up to 72 hours in 3.5% w.t NaCl solution. Both optical transmission …
Uav-Based Smart Rock Positioning For Determination Of Bridge Scour Depth, Haibin Zhang, Zhaochao Li, Alec Reven, Buddy Scharfenberg, Genda Chen, Jinping Ou
Uav-Based Smart Rock Positioning For Determination Of Bridge Scour Depth, Haibin Zhang, Zhaochao Li, Alec Reven, Buddy Scharfenberg, Genda Chen, Jinping Ou
INSPIRE-UTC Annual Meetings
This study aims to predict the depth of scour hole developed around a bridge pier with one smart rock. A 3-axis magnetometer was assembled on an unmanned aerial vehicle (UAV) to measure magnetic fields before and after the smart rock has been deployed as the UAV flew around the bridge pier. A 3-axis high resolution GPS unit was fixed on the UAV to ensure accurate measurements of the latitude, longitude and altitude of the magnetometer. The GPS and the magnetometer measurements were synchronized to output the coordinate and magnetic field intensity correspondingly. A simple optimization algorithm was used to predict …
Considerations For Hose Wielding Uav For Civil Infrastructure Cleaning, Blake Hament, Paul Oh
Considerations For Hose Wielding Uav For Civil Infrastructure Cleaning, Blake Hament, Paul Oh
INSPIRE-UTC Annual Meetings
To expand the capabilities of a multi-rotor aerial vehicle, one or several hoses could be mounted to the vehicle. Such hoses could be used to expel compressed air or other fluid for the purpose of cleaning hard-to-reach surfaces. The main challenge in operating a hose mounted on a free-flying aerial vehicle is compensating for the reaction forces and torques the vehicle experiences as fluid leaves the hose. This paper introduces dynamic modeling for a hose mounted on a multi- rotor vehicle. It is shown that safe operating ranges can be defined in terms of hose angle and fluid PSI, with …
Visual Shm For Concrete Infrastructure Using A Wall-Climbing Robot, Liang Yang, Yong Chang, Biao Jiang, Jizhong Xiao
Visual Shm For Concrete Infrastructure Using A Wall-Climbing Robot, Liang Yang, Yong Chang, Biao Jiang, Jizhong Xiao
INSPIRE-UTC Annual Meetings
Concrete structural health monitoring (SHM) is urgently required with more and more severe aging problems happen. Conventional manual inspection approach is labor-intensive and time-consuming. In this paper, we propose a wall-climbing robotic approach for visual inspection of concrete structures using a deep neural network and 3D semantic reconstruction to build a 3D map overlaid with defects. The wall-climbing robot uses a negative pressure module to operate on both vertical and horizontal surfaces. An RGB-D camera is mounted in the robot with an Intel-NUC computer as visual positioning and image processing core to make metric measurement, Our main contribution is the …
Roller Chain-Like Robot For Steel Bridge Inspection, Son Thanh Nguyen, Hung Manh La
Roller Chain-Like Robot For Steel Bridge Inspection, Son Thanh Nguyen, Hung Manh La
INSPIRE-UTC Annual Meetings
This paper presents a novel design of steel bridge/structure inspection robot. Compared to most existing robots designed to work on particular surface contour of steel structures such as flat or curving, the proposed roller chain-like robot can implement and transfer smoothly on many kind of steel surfaces. The developed robot can be applied to inspection tasks for steel bridges with complicated structures. The robot is able to carry cameras, sensors for visual and specialized examination. Rigorous analysis of robot kinematics, adhesion force and turn-over failure has been conducted to demonstrate the stability of the proposed design. Mechanical and magnetic force …
A Genetic Algorithm For Minmax K-Chinese Postman Problem With Applications To Bridge Inspection, Siming Liu, Sushil J. Liu, N. Harris, Hung Manh La
A Genetic Algorithm For Minmax K-Chinese Postman Problem With Applications To Bridge Inspection, Siming Liu, Sushil J. Liu, N. Harris, Hung Manh La
INSPIRE-UTC Annual Meetings
Bridge inspections ensure transportation infrastructure safety and save lives but current manual bridge inspections can be slow and costly. Automated bridge inspection research mitigates these problems and we investigate a multirobot approach to automated bridge inspection by mapping the inspection problem to the well known k-Chinese Postman problem and using multiple robots for faster, more cost-effective, and more standardized bridge inspections. We first show that a genetic algorithm quickly approaches the optimal solution to the 1-postman problem corresponding to a single robot inspecting a bridge. Then, we use the same genetic algorithm to efficiently solve the more difficult, multi-robot, NP-hard, …
Unmanned Aerial And Traversing Robot As Mobile Platform For Bridge Inspections, Alec M. Reven, Clayton A. Fritsche, Genda Chen
Unmanned Aerial And Traversing Robot As Mobile Platform For Bridge Inspections, Alec M. Reven, Clayton A. Fritsche, Genda Chen
INSPIRE-UTC Annual Meetings
In this study, a bridge inspection robot deployment system (BIRDS) is designed, prototyped, and tested to facilitate the remote inspection of bridges with nondestructive evaluation tools such as microwave and hyperspectral cameras. The multimodal robotic system utilizes both flying and driving technologies. First, BIRDS as an unmanned aerial vehicle flies to the underside of the bridge to be inspected. When in position, BIRDS is engaged with the bottom flange of a bridge girder with a specifically designed roller clamping system and then traverses the bridge in a stable manner, providing high quality images from cameras. Finally, BIRDS simply detaches from …
9th International Conference On Structural Health Monitoring Of Intelligent Infrastructure (Smhii-9) Conference Program, Smhii-9
INSPIRE-UTC Annual Meetings
No abstract provided.
Novel Coupling Smart Water-Co₂ Flooding For Sandstone Reservoirs, Hasan N. Al-Saedi, Ralph E. Flori
Novel Coupling Smart Water-Co₂ Flooding For Sandstone Reservoirs, Hasan N. Al-Saedi, Ralph E. Flori
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
CO2 flooding is an environmentally friendly and cost-effective EOR technique that can be used to unlock residual oil from oil reservoirs. Smart water is any water that is engineered by manipulating the ionic composition, regardless of the resulting salinity of the water. One CO2 flooding mechanism is wettability alteration, which meets with the main smart water flooding function. Injecting CO2 alone increases the likelihood of an early breakthrough and gravity override problems, which have already been solved using water-alternating-gas (WAG) using regular water. WAG is an emerging enhanced oil recovery process designed to enhance sweep efficiency during gas …
Preface, Cihan H. Dagli, Gursel A. Suer
Preface, Cihan H. Dagli, Gursel A. Suer
Engineering Management and Systems Engineering Faculty Research & Creative Works
No abstract provided.