Development of Transformations between Designed and Built Structural Systems and Pipe Assemblies

Fabrication of steel assemblies is a challenging process using existing machines to perform the tasks involved such as cutting, drilling, and punching. Due to inaccuracies in the fabrication processes, imperfections will inevitably happen. In addition to the fabrication inaccuracies, errors may occur during transportation or due to the temperature changes on construction sites. These challenges become more important in the offsite construction as it requires sequenced fabrication, transportation and installation. Current approaches for quality inspection, in general, and discrepancy analysis, in particular, lack a sufficient level of automation and are prone to error due to the intensive manual work involved. Hence, a proactive framework is substantially required to systematically monitor the fabrication process and control the accuracy of assemblies in order to expedite the erection and installation processes. Additionally, finding defective assemblies is traditionally done through fitting trials on construction sites, which has always been a key challenge as it is associated with rework. Furthermore, realigning the defective assemblies is currently performed based on the workers’ experience and lacks automated planning. Therefore, detecting the defective parts in a timely manner and in a systematic way can expedite the erection process and avoids significant delays in construction projects and huge costs as a consequence. This research aims to improve the fabrication and installation processes by detecting the incurred inaccuracies automatically and plan for realignment of the defective components systematically. In summary, the required framework to achieve these objectives includes four primary steps: (1) Preprocessing and basic compliance checking, (2) Spatial discrepancy detection and characterization, (3) Calculation of the required alignments and adjustments, and (4) Generalization of the realignment planning and actuation strategy frameworks for parallel systems. The automated compliance checking and discrepancy analysis is performed employing advanced 3D imaging technologies which have recently opened up a wide range of solutions to acquire as-built status. Characterization of the detected discrepancies is performed by employing robotics forward kinematics concepts and combining with 3D imaging techniques. The required alignment is calculated accordingly using the robotic analogy and inverse kinematic concept. Although the proposed approach can be applied in any types of construction assembly, this thesis mainly focuses on industrial facilities such as steel pipe modules and pipe spools, in particular. Contributions of developing the described framework include: (1) Developing a proactive strategy for rework avoidance, (2) Algorithmic and programmable framework, (3) Efficiency and robustness of the functions and metrics developed, and (4) Time effectiveness of the framework

Aeronautical engineering: A continuing bibliography with indexes (supplement 295)

This bibliography lists 581 reports, articles, and other documents introduced into the NASA Scientific and Technical Information System in Sep. 1993. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment, and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics

Advances in Micro and Nano Manufacturing: Process Modeling and Applications

Micro- and nanomanufacturing technologies have been researched and developed in the industrial environment with the goal of supporting product miniaturization and the integration of new functionalities. The technological development of new materials and processing methods needs to be supported by predictive models which can simulate the interactions between materials, process states, and product properties. In comparison with the conventional manufacturing scale, micro- and nanoscale technologies require the study of different mechanical, thermal, and fluid dynamics, phenomena which need to be assessed and modeled.This Special Issue is dedicated to advances in the modeling of micro- and nanomanufacturing processes. The development of new models, validation of state-of-the-art modeling strategies, and approaches to material model calibration are presented. The goal is to provide state-of-the-art examples of the use of modeling and simulation in micro- and nanomanufacturing processes, promoting the diffusion and development of these technologies

Insulator To Metal Transition Dynamics Of Vanadium Dioxide Thin Films

Vanadium Dioxide (VO2) is a strongly correlated material which has been studied for many decades. VO2 has been proposed for uses in technologies such as optical modulators, IR modulators, optical switches and Mott memory devices. These technologies are taking advantage of VO2’s insulator to metal transition (IMT) and the corresponding changes to the optical and material properties. The insulator to metal transition in VO2 can be accessed by thermal heating, applied electric field, or ultra-fast photo induced processes. Recently, thin films of VO2 grown on Titanium Dioxide doped with Niobium (TiO2:Nb), have shown promise as a possible UV photo detector with high quantum efficiency which utilizes a heterostructure between these two materials. In this work, the dynamics of the IMT on thin films of VO2 is explored. We show that surface plasmons generated in an Au thin film can induce the insulator to metal transition in a thin film of VO2 due to the enhanced electric field as well as help detect the IMT via changes in its resonance condition. Time resolved pump probe studies were also done on thin films of VO2 grown on TiO2 and TiO2:Nb, using UV photon energy of 3.1 eV (400nm wavelength). The fluence threshold of the IMT at 3.1 eV was significantly lower than published values for the 1.55 eV pump fluence. The time response of the IMT shows uncommon reflectivity dynamics in these samples. The response was partially attributed to internal interference of the reflected probe beam from the inhomogeneous layers formed inside the film by different phases of VO2, and can be elucidated by a diffusion model with respect to its optical properties. Finally, the photocurrent generation time constants for the sample with highest quantum efficiency are given and compared to its ultrafast photo induced IMT time constants

WIND TURBINE CLUTTER IN WEATHER RADAR: CHARACTERIZATION AND MITIGATION

With the rapid growth of the wind power industry, many commercial utility-scale wind turbines have been built across the country. These extremely large man-made structures are reported to have negative impact on nearby radars due to their complex scattering mechanisms. Various forms of clutter effect caused by wind turbines in the radar vicinity are generally referred to as the Wind Turbine Clutter (WTC). Due to the lack of awareness on this newly recognized clutter, many wind farms have been built in the Line of Sight (LOS) coverage of operational radars, potentially affecting their performance. Weather radar is the one affected most by WTC because the target of interest is precipitation particles, which is spatially inseparable from the wind turbine within the clutter contaminated resolution volume. Our study thus focuses on analyzing the cause of different types of clutter effects by wind turbines, characterizing the radar signatures of such clutter and mitigating the clutter effect for weather radar. The Micro-Doppler signature of the WTC reveals interesting time-variant spectrum features which are closely related to the instantaneous motions of the wind turbine. The complex motions of a wind turbine can be mostly characterized by three rotations: roll, pitch and yaw. Electromagnetic (EM) characterization of such a dynamic electrical large target is challenging. Various scattering mechanisms are analyzed and the back scattered field and RCS of the wind turbine are computed using commercial EM solver and a hybrid high-frequency approximation approach developed from our study. Field measurements were carried out by deploying the mobile radar to wind farms. The measurements give us the first non-aliased Doppler spectrum of wind turbines. In order to synchronize the wind turbine motion with radar data acquisition, the Radar Wind Turbine Testbed (RWT$^2$) was developed for indoor scaled measurements, which includes the scaled wind turbine model and the scatterometer. Both frequency and time domain measurements were made to characterize the statistics of return signal from the wind turbine model. Several mitigation schemes developed from our study will be discussed, including the telemetry based method, the Adaptive Spectrum Processing (ASP) and the mitigation scheme for moment data based on the Maximum A Posterior (MAP) criteria. A thorough analysis of utilizing LOS avoidance to prevent WTC at the first place will be presented at the end

Innovation: Key to the future

The NASA Marshall Space Flight Center Annual Report is presented. A description of research and development projects is included. Topics covered include: space science; space systems; transportation systems; astronomy and astrophysics; earth sciences; solar terrestrial physics; microgravity science; diagnostic and inspection system; information, electronic, and optical systems; materials and manufacturing; propulsion; and structures and dynamics

Enabling the Development and Implementation of Digital Twins : Proceedings of the 20th International Conference on Construction Applications of Virtual Reality

Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants