Digitally Reverse Modeling for the Repair of Blades in Aero-Engines

2011 ◽  
Vol 141 ◽  
pp. 258-263 ◽  
Author(s):  
Tao Wang ◽  
Yi Liu Liu ◽  
Li Wen Wang ◽  
Hao Wang ◽  
Jie Tang

Blades are key components in aircraft engines, and flight safety is directly impacted by the repair quality of blades. Digital modeling for the surfaces of high pressure blades is conducted in this study based on the cloud data collected with scan. Boundary points of blades are obtained with the method of varied step lengths according to curvature, and then the envelope curves are plotted from the approximation of these boundary points with a third power B spline. 3-D digital models of blades in aero-engines are established with the envelope curves and the condensed data cloud. Results illustrate the smoothness and accuracy of the proposed engine blade repair model.

Author(s):  
Yoshiharu Tsujikawa ◽  
Makoto Nagaoka

This paper is devoted to the analyses and optimization of simple and sophisticated cycles, particularly for various gas turbine engines and aero-engines (including scramjet engine) to achive the maximum performance. The optimization of such criteria as thermal efficiency, specific output and total performance for gas turbine engines, and overall efficiency, non-dimensional thrust and specific impulse for aero-engines have been performed by the optimization procedure with multiplier method. The comparisons of results with analytical solutions establishes the validity of the optimization procedure.


Author(s):  
Y. R. He ◽  
W. W. Ma ◽  
X. R. Wang ◽  
J. Q. Dai ◽  
J. L. Zheng

Abstract. The power patrol has been completed by manual field investigation, which is inefficient, costly and unsafe. In order to extract the height of the power line and its surrounding ground objects more quickly and conveniently, and better service for power line patrol. This paper uses remote sensing data of unmanned aerial vehicle to carry out aerial triangulation, stereo model establishment and binocular stereo vision height extraction base on MapMatrix software, then obtains the power line height analysis chart. Then LiDAR point cloud data is used to verify the accuracy of the power line height analysis chart. The results show that this method not only meets the standard of power line patrol, but also improves the efficiency and quality of power line patrol.


Author(s):  
Hamzeh Khazaei ◽  
Jelena Mišić ◽  
Vojislav B. Mišić

Accurate performance evaluation of cloud computing resources is a necessary prerequisite for ensuring that Quality of Service (QoS) parameters remain within agreed limits. In this chapter, the authors consider cloud centers with Poisson arrivals of batch task requests under total rejection policy; task service times are assumed to follow a general distribution. They describe a new approximate analytical model for performance evaluation of such systems and show that important performance indicators such as mean request response time, waiting time in the queue, queue length, blocking probability, probability of immediate service, and probability distribution of the number of tasks in the system can be obtained in a wide range of input parameters.


Author(s):  
Dejan Vasić

This paper presents the theoretical basis for the development of the Earth's surface relief digital models. The sources and structure of the modeling data, as well as the methods of their processing, are described, depending on the spatial-temporal properties of the Earth's surface. Digital relief models have great significance and wide application in modern geodetic works. Representation of the spatial structure of the relief can be done with different methods of interpolation. In this paper their mathematical foundations are also given. General indicators of the quality of digital relief models are briefly described.


2021 ◽  
Vol 11 (3) ◽  
pp. 34-48
Author(s):  
J. K. Jeevitha ◽  
Athisha G.

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Diep T Vu ◽  
Duc H Bui ◽  
Giang T Le ◽  
Hai K Nguyen ◽  
Duong C Thanh ◽  
...  

Objective: To use Epi Info Cloud Data Analytics (ECDA) to improve the management, quality and utilization of the Vietnam National HIV Surveillance data.Introduction: HIV surveillance in Vietnam is comprised of different surveillance systems including the HIV sentinel surveillance (HSS). The HSS is an annual, multi-site survey to monitor HIV sero-prevalence and risk behaviors among key populations. In 2015, the Vietnam Administration on HIV/AIDS Control (VAAC) installed the Epi Info Cloud Data Analytics (ECDA), a free web-based analytical and visualization program developed by the Centers for Disease Control and Prevention (CDC)(1) to serve as an information management system for HIV surveillance. Until 2016, provincial surveys, recorded on paper, were computerized and submitted to VAAC, which was responsible for merging individual provincial datasets to form a national HSS dataset. Feedback on HSS issues were provided to provinces 3 to 6 months after survey conclusion. With the use of tablets for field data collection in 2017, provincial survey data were recorded electronically and transferred to VAAC at the end of each survey day, thus enabling instant updating of the national 2017 HSS dataset on daily basis. Upon availability of the national HSS dataset on VAAC’s server, ECDA enhanced wider access and prompt analysis for staff at all levels (figure 1). This abstract describes the use of ECDA, together with tablet-based data collection to improve management, quality and use of surveillance data.Methods: After the installation of the ECDA on VAAC’s server in 2015, investments were made at all levels of the surveillance systems to build the capacity to operate and maintain the ECDA. These included trainings on programming, administration, and utilization of ECDA at the central level; creating a centralized database through abstracting and linking different surveillance datasets; developing analysis templates to assist provincial-specific reports; and trainings on access and use of the ECDA to provincial staff. One hundred and eighty five ECDA analyst accounts, authorized for submission, viewing and analysis of data, were created for surveillance staff in 63 provinces and 7 agencies. Six administrator accounts, created for users at central and regional level, were authorized for editing data and management of user accounts. In 2017, more ECDA activities were conducted to: (i) develop analysis dashboards to track progress and data quality of HSS provincial surveys; (ii) facilitate frequent data reviews at central and regional levels; (iii) provide feedback to provinces on survey issues including sample selection.Results: Since 2015, separate national datasets including the HSS, HIV case reports, HIV routine program reports were systematically cleaned and merged to form a centralized national database, which was then centrally stored and regularly backed up. Access to the national database was granted to surveillance staff in all 63 provinces through 185 designated ECDA accounts. During the 2017 HSS surveys, 70 ECDA users in 20 HSS provinces were active to manage and use the HSS data. Twelve weekly reviews of HSS provincial data were conducted at national level throughout the 2017 HSS survey. Ninety percent of provinces received feedback on their survey data as early as the first week of field data collection. The national 2017 HSS dataset and its analysis were available immediately after the completion of the last provincial survey, which was about 3 to 6 months quicker than reports of previous years. More importantly, the fresh results of the 2017 HSS survey were available and used for the 2018 Vietnam HIV national planning circle (table 1).Conclusions: ECDA is a quick, relevant, free program to improve the management and analysis of HIV surveillance data. Using ECDA, it is easy to generate and modify analysis dashboards that enhances utilization of surveillance data. Successful administration and use of the ECDA during the 2017 HSS survey is positive evidence for Ministry of Health to consider institutionalization of the program in Vietnam surveillance systems.


2012 ◽  
Vol 201-202 ◽  
pp. 34-38
Author(s):  
Zhen Hua Wen ◽  
Xin Yin ◽  
Yuan Peng Liu

The Aero-Engine Is the Heart of an Aircraft and Critical to the Flight Safety and Economy, Health Management in Total Life Cycle for Aero-Engines Is an Effective Way and Is Popularly Employed to Balance the Economy and Safety. however, it Is Difficult to Make Appropriate Health Management Strategies for a Complex System, such as Aero-Engines. Firstly the Uncertainty Source of Fault Diagnosis and Prognosis System Is Explored. then the Primary Uncertainty Sources Including Condition Information, Monitoring and Detection Approaches, Signal Detection, Remaining Lifetime Prediction and Maintenance Strategy-Making, Are Analyzed in this Context. the Corresponding Tactics for Reducing Uncertainty Are Proposed in the Paper, which Provides Essential References for Assisting the Design for Health Management System.


1967 ◽  
Vol 71 (683) ◽  
pp. 773-781
Author(s):  
H. K. Gordon-Burge

At the outset, I must make it quite clear that any views or opinions expressed are my own and are not necessarily those of either British European Airways or the Flight Safety Committee.In this paper, I have attempted to discuss some of the problems which face those whose task is to obtain and to disseminate safety information. At the end, I have posed a number of questions which I believe are relevant and should be posed, and which Harold Caplan will take up in his subsequent discussion of the legal problems.Air Safety is essentially the prevention of accidents by minimising the risk of encountering foreseeable hazards and the consequences of unforeseen situations. Thus the dissemination of air safety information is simply the spreading of accident prevention material. It is undoubtedly best achieved by a sharing among all concerned of the lessons learned from their incident and accident experience. This activity is one that has to be shared by operators, flight and ground crew, air traffic control, the designers and makers of aircraft, engines and equipment, and regulatory authorities.


2014 ◽  
Vol 628 ◽  
pp. 426-431
Author(s):  
Li Bo Zhou ◽  
Fu Lin Xu ◽  
Su Hua Liu

Data processing is a key to reverse engineering, the results of which will directly affect the quality of the model reconstruction. Eliminate noise points are the first step in data processing, The method of using Coons surface to determine the noise in the data point is proposed. To reduce the amount of calculation and improve the surface generation efficiency, data point is reduced. According to the surrounding point coordinate information, the defect coordinates are interpolated. Data smoothing can improve the surface generation quality, data block can simplify the creation of the surface. Auto parts point cloud data is processed, and achieve the desired effect.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Guangshun Li ◽  
Jianrong Song ◽  
Junhua Wu ◽  
Jiping Wang

With the development of Internet of Things, the number of network devices is increasing, and the cloud data center load increases; some delay-sensitive services cannot be responded to timely, which results in a decreased quality of service (QoS). In this paper, we propose a method of resource estimation based on QoS in edge computing to solve this problem. Firstly, the resources are classified and matched according to the weighted Euclidean distance similarity. The penalty factor and Grey incidence matrix are introduced to correct the similarity matching function. Then, we use regression-Markov chain prediction method to analyze the change of the load state of the candidate resources and select the suitable resource. Finally, we analyze the precision and recall of the matching method through simulation experiment, validate the effectiveness of the matching method, and prove that regression-Markov chain prediction method can improve the prediction accuracy.


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