This research developed two innovative test methods that were used to experimentally evaluate the performance of a novel blade tip timing (BTT) system from Prime Photonics, LC. The research focused on creating known blade tip offsets and tip vibrations so that the results from a BTT system can be validated. The topic of validation is important to the BTT field as the results between many commercial systems still are not consistent. While the system that was tested is still in development and final validation is not complete, the blade tip offset and vibration frequency validation results show that this BTT system will be a valuable addition to turbomachinery research and development programs once completed. For the first test method custom rotors were created with specified blade tip offsets. For the blade tip offset alternate measurement, the rotors were optically scanned and analyzed in CAD software with a tip location uncertainty of 0.1 mm. The BTT system agreed with the scanned results to within 0.13 mm. Tests were also conducted to ensure that the BTT system identified and indexed the blades properly. The second developed test method used an instrumented piezoelectric blade to create known dynamic deflections. The active vibration rotor was able to create measureable deflection over a range of frequencies centered on the first bending mode of the blade. The results for the 110 Hz, 150 Hz, 180 Hz first bending resonance, 200 Hz, and 1036 Hz second bending resonance cases are presented. A strain gage and piezoelectric sensor were attached to the active blade during the dynamic deflection tests to provide an alternate method for determining blade vibration frequency. The BTT system correctly identified the active blade excitation frequencies as well as a 120 Hz frequency from the drive motor. This thesis also explored applying BTT methods and testing to more realistic blade geometry and vibration. Blade vibrations are usually classified by their frequency relative to the rotation speed. Synchronous vibrations are integer multiples of the rotational speed and are often excited by struts or vanes fixed to the engine case. For this reason, special probe placement algorithms were explored that use sine curve fitting to optimize the probe placement. Knowing how the blade will vibrate at operation before testing is critical as well. In preparation for future research, ANSYS Mechanical was used to predict the first three modes of a PT6A-28 first stage rotor blade at 1,966, 5,539, and 7,144 Hz. These frequencies were validated to within 4% using scanning laser vibrometry. The simulation was repeated at speed to produce a Campbell Diagram to highlight synchronous excitation crossings. / Master of Science

No description available.

京都大学 / 新制・課程博士 / 博士(経済学) / 甲第23446号 / 経博第644号 / 新制||経||299(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 澤邉 紀生, 教授 草野 真樹 講師 鈴木 寛之 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DGAM

Determining the best way for evaluating organizational performance is a complex problem as it involves assessment of indicators in multiple dimensions. In the case of nonprofit social service provision this evaluation needs to consider also the outcomes of the service. This research develops a performance measurement system that collects performance indicators, evaluates them and provides concrete performance improvement recommendations to decision-makers in the nonprofit sector. Three dimensions of performance are identified for social services: effectiveness or outcome achievement, service quality and efficiency. A framework for measuring performance in four stages or nodes is advanced. The nodes represent the most important production functions for nonprofit organizations dedicated to social services. These are: (a) financial (fundraising or income generation activities); (b) capacity creation; (c) service delivery; and, (d) effectiveness. Survey instruments were developed to collect service quality and effectiveness indicators for the last two nodes. Effectiveness measures were identified following a well-structured 7-step approach to develop outcome-based objectives. To effectively deal with this problem, the Data Envelopment Analysis (DEA) formulation was adapted to evaluate performance at each node. DEA computes performance scores, optimal target performance levels, and the performance frontier for different branches, units, or other comparable decision-making units (DMUs). Two basic formulations were developed for this framework as follows: Model I as a four stage formulation that carries the actual values of output variables of one node to the successive node, and Model II as a formulation that carries the projections — i.e. the recommended targets' from one node to the other. This last formulation assumes that the DMUs have undergone a reengineering effort and that their indicators are set at their maximum potential. Several environmental factors affecting social service provision were included in the analysis. Additionally, variable selection recommendations were developed for DEA analysis and DEA graphical reports produced. It was concluded that decision makers could use Model I to identify performance improvement targets in each production node. The results from Model II can be used for resource planning after the targets are achieved. Finally, this performance measurement framework is being implemented at one of largest national social service agencies in the United States. / Ph. D.

A global view of power system's frequency opens up a new window to the "world" of large system's dynamics. With the aid of global positioning system (GPS), measurements from different locations can be time-synchronized; therefore, a system-wide observation and analysis would be possible. As part of the U.S. nation-wide power frequency monitoring network project (FNET), the first part of the study focuses on utilizing system simulation as a tool to assess the frequency measurement accuracy needed to observe frequency oscillations from events such as remote generation drops in three U.S. power systems. Electromechanical wave propagation phenomena during system disturbances, such as generation trip, load rejection and line opening, have been observed and discussed. Further uniform system models are developed to investigate the detailed behaviors of wave propagation. Visualization tool is developed to help to view frequency behavior simulations. Frequency replay from simulation data provides some insights of how these frequency electromechanical waves propagate when major events occur. The speeds of electromechanical wave propagation in different areas of the U.S. systems, as well as the uniform models were estimated and their characteristics were discussed. Theoretical derivation between the generator's mechanical powers and bus frequencies is provided and the delayed frequency response is illustrated. Field-measured frequency data from FNET are also examined. Outlier removal and wavelet-based denoising signal processing techniques are applied to filter out spikes and noises from measured frequency data. System's frequency statistics of three major U.S. power grids are investigated. Comparison between the data from phasor measurement unit (PMU) at a high voltage substation and from FNET taken from 110 V outlets at distribution level illustrates the close tracking between the two. Several generator trip events in the Eastern Interconnection System and the Western Electricity Coordinating Council system are recorded and the frequency patterns are analyzed. Our trigger program can detect noticeable frequency drop or rise and sample results are shown in a 13 month period. In addition to transient states' observation, the quasi-steady-state, such as oscillations, can also be observed by FNET. Several potential applications of FNET in the areas of monitoring & analysis, system control, model validation, and others are discussed. Some applications of FNET are still beyond our imagination. / Ph. D.

The focus of this study is on the development of a state-of-the-art single-wheel roller rig for studying contact mechanics and dynamics in railroad applications. The use of indoor-based simulation tools has become a mainstay in vehicle testing for the automotive and railroad industries. In contrast to field-testing, roller rigs offer a controlled laboratory environment that can provide a successful path for obtaining data on the mechanics and dynamics of railway systems for a variety of operating conditions. The idea to develop a laboratory test rig started from the observation that there is a need for better-developed testing fixtures capable of accurately explaining the complex physics of wheel-rail contact toward designing faster, safer, and more efficient railway systems. A review of current roller rigs indicated that many desired functional requirements for studying contact mechanics currently are not available. Thus, the Virginia Tech Railway Technologies Laboratory (RTL) has embarked on a mission to develop a state-of-the-art testing facility that will allow experimental testing of contact mechanics in a dynamic, controlled, and consistent manner. VT roller rig will allow for closely replicating the boundary conditions of railroad wheel-rail contact via actively controlling all the wheel-rail interface degrees of freedom: cant angle, angle of attack, and lateral displacement. Two sophisticated independent drivelines are configured to precisely control the rotational speed of the wheels, and therefore their relative slip or creepage. A novel force measurement system, suitable for steel on steel contact, is configured to precisely measure the contact forces and moments at the contact patch. The control architecture is developed based on the SynqNet data acquisition system offered by Kollmorgen, the motors supplier. SynqNet provides a unified communication protocol between actuators, drives, and data acquisition system, hence eliminating data conversion among them. Various design analysis indicates that the rig successfully meets the set requirements: additional accuracy in measurements, and better control on the design of experiments. The test results show that the rig is capable of conducting various contact mechanics studies aimed for advancing the existing art. Beyond developing the experimental testing fixture for studying contact mechanics, this study provides a comprehensive review of the contact models. It discusses the simplifying assumptions for developing the models, compares the models functionality, and highlights the open areas that require further experimental and theoretical research. In addition, a multi-body dynamic model of the entire rig, using software package SIMPACK, is developed for conducting modal analysis of the rig and evaluating the performance of the rig's components. A MATLAB routine is also developed that provides a benchmark for developing creep curves from measurements of the rig and comparing them with existing creep curves. / Ph. D.

The construction industry is one of the largest emitters of greenhouse gases and health-related pollutants. Monitoring and benchmarking emissions will provide practitioners with information to assess environmental impacts and improve the sustainability of construction. This research focuses on real-time measurement of emissions from non-road construction equipment and development of a monitoring-benchmarking tool for comparison of expected vs. actual emissions. First, exhaust emissions were measured using a Portable Emission Measurement System (PEMS) during the operation of 18 pieces of construction equipment at actual job sites. Second-by-second emission rates and emission factors for carbon dioxide, carbon monoxide, nitrogen oxides, and hydrocarbons were calculated for all equipment. Results were compared to those of other commonly used emission estimation models. Significant differences in emission factors associated with different activities were not observed, except for idling and hauling. Moreover, emission rates were up to 200 times lower than the values estimated using EPA and California Air Resources Board (CARB) guidelines. Second, the resulting database of emissions was used in an automated, real-time environmental assessment system. Based on videos of actual construction activities, this system enabled real-time action recognition of construction operations. From the resulting time-series of activities, emissions were estimated for each piece of equipment and differed by only 2% from those estimated by manual action recognition. Third, the actual emissions were compared to estimated ones using discrete event simulation, a computational model of construction activities. Actual emissions were 28% to 144% of those estimated by manual action recognition. Results of this research will aid practitioners in implementing strategies to measure, monitor, benchmark, and possibly reduce air pollutant emissions stemming from construction. / Master of Science

The forest products industry significantly contributes to Virginia's economy, generating $23 billion annually, employing 109,000 individuals, and providing $345 million to timber landowners. Hardwood log exports are a crucial portion of this economic contribution, with major importers including China, Vietnam, and Canada. Most importing countries have specific requirements to prevent the movement of invasive organisms on the logs imported, of which chemical treatment is common. This study examines the feasibility and implications of transitioning from chemical-based treatments, such as methyl bromide, to a vacuum and steam treatment for hardwood log exports. Our investigation focuses on understanding the barriers to the adoption of this new technology, including industry awareness and perception, regulatory framework challenges, international acceptance, and economic viability. By addressing these areas, we aim to create a comprehensive manual for any company interested in adopting this technology. The manual will include a performance measurement system and a feasibility study to ensure successful implementation. Therefore, this thesis consists of two documents, the first provides background information, a problem statement and methods and results around the investigation of barriers to the adoption of this new treatment and a second document, the proposed manual to assist with implementation. To address the first objective, data were collected through interviews with technology developers, industry experts, and hardwood log importers in China and India. Quantitative data highlighted a 36.7% increase in US hardwood log exports to China in 2023, with species like alder and yellow poplar leading the market. Results indicate that China imports a significantly higher volume of hardwood logs monthly compared to India, highlighting a larger and more consistent demand. Commonly imported species include red and white oak, ash, and walnut. Both countries have strict fumigation requirements, primarily using methyl bromide, underscoring a global reliance on this method despite its environmental concerns. Awareness of alternative treatments such as vacuum and steam is limited, though there is interest in exploring cost-effective and efficient methods. However, adoption is hindered by regulatory approval and the need for proven effectiveness. To facilitate this transition, we created a comprehensive manual for companies to guide them through replacing methyl bromide and other chemical treatments with vacuum and steam technology. This study provides a comprehensive pathway for adopting vacuum and steam technology, addressing technical, regulatory, and economic considerations. The forest products sector can mitigate environmental impact by aligning industry practices with sustainable treatment methods while maintaining international trade relationships. / Master of Science / Virginia's forest industry is a major part of the state's economy, generating $23 billion each year and providing jobs to 109,000 people. Hardwood logs, particularly those exported to countries like China, Vietnam, and Canada, play a significant role in this economic impact. However, these countries require that imported logs be treated to prevent the spread of harmful pests. Traditionally, chemical treatments like methyl bromide have been used, but they pose environmental concerns. Our study explores the possibility of switching to a safer and more environmentally friendly method: vacuum and steam treatment. We looked into the challenges that might come with adopting this new technology, such as how aware the industry is of it, regulatory hurdles, whether international markets would accept it, and whether it's economically feasible. Our goal is to create a helpful guide for companies interested in making this switch, ensuring they have all the information needed to implement the new treatment successfully. To gather insights, we interviewed experts and key players in the industry, including log importers from China and India. We found that while there is interest in exploring new treatments, there are significant challenges, particularly related to getting regulatory approval and proving the effectiveness of the new method. Despite these challenges, our research outlines a clear path for adopting vacuum and steam treatment, which could help the forest products industry reduces its environmental impact while continuing to thrive in international trade.

Yes / Designing and implementing Performance Measurement System (PMS) is an integral part of management control systems. This paper presents an original and novel approach to designing and benchmarking of PMSs for a manufacturing environment through a hybrid framework which overcomes the shortcomings of earlier models. A detailed review was taken of previous models and their limitations were identified. The present hybrid PMS model seeks to improve the earlier research models by the following novel approach: implementation of a Knowledge Based (KB) expert system, Gauging Absences of Pre-requisite (GAP) analysis and Analytic Hierarchy Process (AHP) methodology in an integrated KBPMS. The paper has shown that the present hybrid (KB-AHP-GAP) approach to developing a KBPMS model is a realistic methodology. The combination of the KB-AHP-GAP approach allows detailed benchmarking of the PMS existing within a manufacturing organisation. Furthermore, this approach can assist in identifying and prioritising the key decisions that need to be actioned to overcome the existing PMS shortcomings.

Currently in the corporate world grows the focus for the speed and intensity with which the process changes, mainly driven by frequent technological innovations, the performance of the economy and strong competition established in its market. Given this challenging scenario, there is the continuing need to identify new techniques, methods and procedures, aimed at the main goal of the strategy, improve performance, competitiveness and leverage their organizational management. Thus, the relentless pursuit of continuous improvement in organizations, demand the implementation of integrated management systems, systemic and measurable as a facilitator in reducing vulnerability to the impact caused by competitive forces, which so conducive to the strengthening of the value chain business. Therefore, this work will be developed based on the activities of CVI Soft Drinks industry Ltda., Franchised The Coca-Cola Company and Heineken Brazil, with factory in Rio Grande Central Region South, with the main objective to propose a Model for Performance Measurement Implementation and Enforcement in an Integrated Management System SGI. Methodologically, a case study will be conducted in order to identify the adherence of the Integrated Management System - SGI in relation to the full implementation of the concepts of Strategic Management, Process Management and requirements of International Standards Management System Certification, to obtain the end a performance measurement system model that facilitates the measurement and analysis of organizational continuous improvement. / Atualmente no mundo corporativo cresce o foco pela rapidez e intensidade com que se processam as mudanças, impulsionadas principalmente pelas frequentes inovações tecnológicas, pelo desempenho da economia e pela forte concorrência estabelecida no seu mercado de atuação. Diante desse cenário desafiador, surge a contínua necessidade de identificar novas técnicas, métodos e procedimentos, visando como principal meta da estratégia, melhorar o desempenho, a competitividade e a alavancagem da sua gestão organizacional. Desta forma, a busca incessante pela melhoria contínua nas organizações, demanda a implementação de sistemas de gestão integrados, sistêmicos e mensuráveis como meio facilitador à redução da vulnerabilidade em relação ao impacto causado pelas forças competitivas, os quais propiciem assim o fortalecimento da cadeia de valor do negócio. Portanto, o presente trabalho será desenvolvido com base nas atividades da indústria CVI Refrigerantes Ltda., franqueada The Coca-Cola Company e Heineken Brasil, com Fábrica na Região Central do Rio Grande do Sul, tendo por objetivo principal propor um Modelo para a Medição de Desempenho da Implementação e Execução em um Sistema de Gestão Integrada SGI. Metodologicamente, será realizado um estudo de caso com a finalidade de identificar a aderência do Sistema de Gestão Integrada SGI em relação à aplicação integral dos conceitos de Gestão Estratégica, Gestão de Processos e Requisitos das Normas Internacionais de Certificação de Sistemas de Gestão, visando obter ao final um modelo de sistema de medição de desempenho que facilite a mensuração e a análise da melhoria contínua organizacional.