Flight tests and flight data analysis - teaching aerospace engineering students

2016 ◽  
Vol 6 (2) ◽  
pp. 136
Author(s):  
Grzegorz Kopecki
Keyword(s):  
Mathematical Model ◽  
Data Analysis ◽  
Engineering Students ◽  
Low Cost ◽  
Aerospace Engineering ◽  
Flight Tests ◽  
High Class ◽  
Flight Data ◽  
Aircraft Flight ◽  
The Mathematical Model

The ability to carry out in-flight tests and to analyse the flight data registered is, in the case of aerospace engineering  students, a vital aspect of education. Since aircraft flight tests are very expensive, frequently the funds allocated to them in the process of education are insufficient. The aim of this article is to present a relatively low-cost method of training students to carry out flight tests and to analyse flight data. The method relies on three consecutive steps. At first, simulation tests relying on the mathematical model of an aircraft are carried out.  During these simulations, students analyse aircraft behaviour. Next, flight data registered during previously held in-flight tests are analysed.  Finally, flight tests are performed by students.  As a result, having mastered the ability to analyse real flight data, the students trained will become high-class specialists being able to conduct flight tests and analyse flight data.

Low-cost flow-rate estimate in separate layers along gas wells from temperature and pressure profiles

2013 ◽  
Vol 53 (1) ◽  
pp. 285
Author(s):  
Emile Barrett ◽  
Imran Abbasy ◽  
Chii-Rong Wu ◽  
Zhenjiang You ◽  
Pavel Bedrikovetsky
Keyword(s):  
Thermal Conductivity ◽  
Mathematical Model ◽  
Flow Rate ◽  
Low Cost ◽  
Pressure Sensors ◽  
Gas Wells ◽  
Production Rates ◽  
Pressure Profiles ◽  
Temperature And Pressure ◽  
The Mathematical Model

Estimation of rate profile along the well is important information for reservoir characterisation since it allows distinction of the production rates from different layers. The temperature and pressure sensors in a well are small and inexpensive; while flow meters are cumbersome and expensive, and affect the flow in the well. The method presented in this peer-reviewed paper shows its significance in predicting the gas rate from temperature and pressure data. A mathematical model for pressure and temperature distributions along a gas well has been developed. Temperature and pressure profiles from nine well intervals in field A (Cooper Basin, Australia) have been matched with the mathematical model to determine the flow rates from different layers in the well. The presented model considers the variables as functions of thermal properties at each location, which is more accurate and robust than previous methods. The results of tuning the mathematical model to the field data show good agreement with the model prediction. Simple and robust explicit formulae are derived for the effective estimation of flow rate and thermal conductivity in gas wells. The proposed approach has been applied to determine the well gas rate and formation thermal conductivity from the acquired well pressure and temperature data in field A. It allows for recommending well stimulation of layers with low production rates.

The Design of Shock Absorbers for Chemical Equipments

2012 ◽  
Vol 479-481 ◽  
pp. 1283-1287
Author(s):  
Xin Yang ◽  
Xiao Yu Guo ◽  
Ming Liang Ding
Keyword(s):  
Mathematical Model ◽  
Chemical Process ◽  
Shock Absorber ◽  
Low Cost ◽  
Field Validation ◽  
Shock Absorption ◽  
Vibration Problem ◽  
Shock Absorbers ◽  
The Mathematical Model ◽  
Validation Testing

A low cost shock absorber easy to install and tune was designed to solve the vibration problem produced by the compressor in chemical process. By establishing the mathematical model of the dynamic shock absorption, the shock absorber characteristics were analyzed theoretically. The preliminary experiment was conducted on the testing platform to simulate the factory conditions. The shock absorber was then installed on the compressor for the field validation. Testing results agree well with theory and the shock absorber showed good damping performance.

The Mathematical Model of Simulative Calculation for the Process of Airbag Landing

2014 ◽  
Vol 635-637 ◽  
pp. 228-232
Author(s):  
Jian He ◽  
Ji Sheng Ma ◽  
Da Lin Wu
Keyword(s):  
Mathematical Model ◽  
Finite Element ◽  
Finite Element Simulation ◽  
Calculation Method ◽  
Low Cost ◽  
Analytical Analysis ◽  
Heavy Equipment ◽  
Element Simulation ◽  
The Mathematical Model

Airbag is widely used in heavy equipment dropped field with its efficient cushion performance and low cost. The calculation method used now for the process of airbag landing mainly is simulative calculation: analytical analysis and finite element simulation, but there are less systematic introduction for the mathematical model behind these methods in past papers. This paper mainly does the summary for the mathematical model of vented airbag which is usually used.

scholarly journals Delay/Disruption Tolerant Networking-Based Routing for Rural Internet Connectivity (DRINC)

2016 ◽  
Vol 12 (1) ◽  
pp. 131 ◽  
Author(s):  
Carlos Velásquez-Villada ◽  
Yezid Donoso
Keyword(s):  
Mathematical Model ◽  
Routing Protocols ◽  
Low Cost ◽  
Routing Algorithm ◽  
Research Field ◽  
Internet Connectivity ◽  
Connected Node ◽  
Networking Technologies ◽  
Disruption Tolerant Networking ◽  
The Mathematical Model

Rural networking connectivity is a very dynamic and attractive research field. Nowadays big IT companies and many governments are working to help connect all these rural, disconnected people to Internet. This paper introduces a new routing algorithm that can bring non-real-time Internet connectivity to rural users. This solution is based on previously tested ideas, especially on Delay/Disruption Tolerant Networking technologies, since they can be used to transmit messages to and from difficult to access sites. It introduces the rural connectivity problem and its context. Then, it shows the proposed solution with its mathematical model used to describe the problem, its proposed heuristic, and its results. The advantage of our solution is that it is a low-cost technology that uses locally available infrastructure to reach even the most remote towns. The mathematical model describes the problem of transmitting messages from a rural, usually disconnected user, to an Internet connected node, through a non-reliable network using estimated delivery probabilities varying through time. The forwarding algorithm uses local knowledge gathered from interactions with other nodes, and it learns which nodes are more likely to connect in the future, and which nodes are more likely to deliver the messages to the destination. Our algorithm achieves an equal or better performance in delivery rate and delay than other well-known routing protocols for the rural scenarios tested. This paper adds more simulation results for the proposed rural scenarios, and it also extends the explanation of the mathematical model and the heuristic algorithm from the conference paper "Delay/Disruption Tolerant Networks Based Message Forwarding Algorithm for Rural Internet Connectivity Applications" [1] (doi: 10.1109/ICCCC. 2016.7496732).

ANALYSIS OF PASSENGER ROLLING STOCK FAULTS AND ITS STATISTICS IN LITHUANIA

Transport ◽  
2011 ◽  
Vol 26 (3) ◽  
pp. 315-319 ◽  
Author(s):  
Gintaras Gelumbickas ◽  
Gediminas Vaičiūnas
Keyword(s):  
Mathematical Model ◽  
Data Analysis ◽  
Rolling Stock ◽  
The Mathematical Model

Performed data analysis aims to determine the number of rolling stock breakdowns and how it depends on rolling stock age, the number of passengers and operations. The mathematical model, stated below, analyses correlation between passenger fleet upgrade intensity and the number of faults. When planning to buy some new rolling stock (3÷6 wagons electric or diesel trains) while using this model, the number of faults can be predicted up to five years.

Tuberculosis epidemiology in Russia: the mathematical model and data analysis

2004 ◽  
Vol 19 (4) ◽  
Author(s):  
M. I. Perelman ◽  
G. I. Marchuk ◽  
S. E. Borisov ◽  
B. Ya. Kazennykh ◽  
K. K. Avilov ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Data Analysis ◽  
Tuberculosis Epidemiology ◽  
The Mathematical Model

The Research and Application of Sorting Algorithm in Aircraft Scheduling Problem

2012 ◽  
Vol 605-607 ◽  
pp. 2488-2492
Author(s):  
Hai Rong Xu ◽  
Lu Hui Yang ◽  
Qiang Huang ◽  
Jian Wang
Keyword(s):  
Mathematical Model ◽  
Equilibrium Model ◽  
Sorting Algorithm ◽  
Scheduling Problem ◽  
Flight Data ◽  
Aircraft Scheduling ◽  
Simulation Results ◽  
The Mathematical Model

The Aircraft scheduling problem is researched in this paper, the equilibrium model of aircraft scheduling problem is proposed and a sorting algorithm is constructed. By introducing the concept of flight connections, aircraft scheduling problem is transformed into the distribution of flight connections, the mathematical model of the problem is established, to solve the model, a sorting algorithm is constructed. We use the airline's flight data to test the algorithm.The simulation results show that the model and the algorithm are feasible.

Applications of state estimation in aircraft flight-data analysis

1985 ◽  
Vol 22 (7) ◽  
pp. 547-554 ◽  
Author(s):  
Ralph E. Bach ◽  
Rodney C. Wingrove
Keyword(s):  
Data Analysis ◽  
State Estimation ◽  
Flight Data ◽  
Aircraft Flight

scholarly journals Mathematical Modelling and Simulation of Six Axis Robot for Industrial Application

2020 ◽  
Vol 9 (4) ◽  
pp. 955-959
Keyword(s):  
Mathematical Model ◽  
Real Time ◽  
Low Cost ◽  
Sine Wave ◽  
Modeling Software ◽  
Paper Work ◽  
The Many ◽  
Mathematical Modelling And Simulation ◽  
The Mathematical Model ◽  
Environment Condition

The proposed paper work is focused on the development of low cost six axis robot. The robot is modelled using mathematical model and it’s compared with the simulation model in the real time environment condition. The modeling of the robot is designed in the modeling software and it is simulated in the Matlab software. This type of solving system is used to solve the many type of real time problems. The simulated result is compared with the mathematical model of the robot. Based on the testing the robot is redesigned in the modeling software. In this work sin wave is given has input and the robot is followed the sine wave.

The Main Provisions of the Methodology for Assessing the Convergence of the Results of Mathematical Modeling of Continuous Processes of Avionics Devices and Field Experiments

2018 ◽  
Vol 19 (10) ◽  
pp. 680-688
Author(s):  
V. V. Slatin ◽  
M. A. Demkin ◽  
A. V. Golubkina
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Measurement Errors ◽  
Field Experiments ◽  
Least Squares Method ◽  
Regression Line ◽  
Flight Tests ◽  
Continuous Processes ◽  
Statistical Hypotheses ◽  
The Mathematical Model

The questions of estimation of convergence of the processes received in single flight tests of an aviation complex and at mathematical modeling are considered. This evaluation is performed based on the methods of analysis of variance and means of verification of statistical hypotheses in decision-making on the convergence of the compared processes. For each of the compared processes, the least squares method determines the regression lines. By methods of mathematical statistics the permissible proximity of regression lines of the compared processes is established and the average regression line equivalent to the mathematical expectation of the analyzed statistical processes is determined. With respect to this line, the variance of deviations of the compared statistical processes is determined and their belonging to the General sample of processes is estimated. This suggests that under normal laws of the distribution of measurement errors there is an adequacy of the processes of the mathematical model of the stages of operation of the aviation complex and the observed processes of these stages during flight tests of the aviation complex under study.

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