Engineering report

engineering report

Purdue owl: Writing Engineering Reports

The "shooting" method converges to an accurate aiming solution. The "shooting" method can be optimized to provide rapid convergence. Without loss of generality, the simulation assumes that the tank is level. The project assumes that the target is moving in a straight line. Without loss of generality, the project considers the targeted tank to be at the same altitude as the attacking tank, which is at sea level. Abbreviations rk is an abbreviation for Runga-kutta. Smst is an abbreviation for Shooting Method for Stationary targets.

Guide to technical Report Writing : Study guides

It is combined with augmentation. An initial-value problem is a calculus problem where dependent values (y, y and perhaps y are provided at some initial independent value (x). The paper problem is to determine dependent values (y, y' and y at independent values subsequent to the thesis initial independent value. The project does not consider internal ballistics. That is to say that the projectile behavior from the moment the shell powder ignites until the time the projectile leaves the weapon's barrel is not be considered. The project does not consider terminal ballistics. That is to say that the project does not consider the behavior of the projectile beyond the moment of impact. The project accepts, as input, the target range, target heading, target speed, air density, wind and local gravity. The project does not consider how this information is gathered. This study does not perform live-fire testing of the computer simulation. A three dimensional, fourth-order Runga-kutta initial-value problem method with a dynamic step size accurately models projectile motion.

This definition is different from the computational complexity definition of fuller the term, where it is used to identify an algorithm requiring a low number of operations for a given task. A numerical method is an iterative algorithm for solving a mathematical problem by determining range values at discrete domain intervals throughout the problem domain. Domain interval solutions are determined sequentially or simultaneously. Numerical methods differ from analytical methods, in that analytical methods provide direct solutions at any point in the problem domain, whereas numerical methods are iterative. A simulation is an abstract computer model of a physical system that allows the behavior of the physical system to be reproduced, by computer, to some degree of accuracy. Augmentation is an iterative process whereby some algorithm successively refines an estimated solution to some problem until it falls within some error bound of the true solution. The step size is the width of the interval between successive solution points in the domain of a problem being solved by a numerical method. The shooting method is an algorithm for solving complex mathematical problems by guessing solutions.

engineering report

How an Engineering Case Study report is Organised unsw

The study considers the M829 apfsds-t projectile used by the M1A1 Abrams battle tank. The first subproblem is thesis the investigation and evaluation of the efficiency of a three-dimensional, dynamic step size, fourth-order Runga-kutta, numerical simulation for the projectile motion of the M829 apfsds-t projectile. The second subproblem is the investigation and evaluation of the efficiency of the shooting method as an aiming augmentation system for the M829 apfsds-t projectile. A three dimensional, dynamic step size, fourth-order Runga-kutta, initial-value problem method with a relatively broad step size efficiently models the projectile motion of the M829 apfsds-t projectile. The Shooting method provides efficient aiming solutions for the M829 apfsds-t projectile. The definitions of Terms Efficient. A method is efficient if it provides a solution in less time than a human operator could with standard solution tables.

The number of iterations required the shooting method to determine an aiming solution against a stationary target /. The computational time required the shooting method to determine an aiming solution against a stationary target /. The impact of target speed and target heading on the average number of iterations required the shooting method to determine an aiming solution against a moving target /. The impact of range on the average number of iterations required the shooting method to determine an aiming solution against a moving target /. The impact of range on the average computational time required the shooting method to determine an aiming solution against a moving target /. The impact of target speed and target heading on the average computational time required the shooting method to determine an aiming solution against a moving target /. The problem and its setting the Statement of the Problem The study investigates and evaluates the efficiency of a computerized aiming system, which uses a combination of the runga-kutta and Shooting methods, to determine whether such a system will provide a combat advantage to tank.

Guide: Engineering Technical Reports

engineering report

Engineering report structure: quick guide

The minimum, maximum, mean and Standard writing deviation of the computation Time data from the runga-kutta Impact point Test /. The minimum, maximum, mean and Standard deviation of the Iteration count Data from the Shooting Method for essay Stationary targets Test /. The minimum, maximum, mean and Standard deviation of the compute time data from the Shooting Method for Stationary targets Test /. The minimum, maximum, mean and Standard deviation of the Iteration count Data from the Shooting Method for moving Targets Test /. The minimum, maximum, mean and Standard deviation of the compute time data from the Shooting Method for moving Targets Test / 70 the list of figures. The M829apfsds-t round prior to being fired /. The M829 sabot breaking away from the projectile after firing /.

The axial model /. The method of convergence in the shooting method for stationary targets /. The method of convergence in the shooting method for moving targets /. The number of iterations required the runga-kutta method to determine the impact point of a projectile launched at a certain elevation /. The computational time required the runga-kutta method to determine the impact point of a projectile launched at a certain elevation /.

The Step size accuracy test Batch File /. The runga-kutta Iteration Test Code /. The Shooting Method For Stationary target Code /. The Shooting Method For Stationary targets Test Code / 102. The Shooting Method For moving Targets Code / 103.


The Shooting Method For moving Targets Test Code / 105. Euler Method Step size accuracy results / 107. The runga-kutta Iteration Test Results / 108. The Shooting Method For Stationary targets Test Results / 113. The Shooting Method For moving Targets Test Results / 116 the list of tables. The G1 Drag Model /. The Axial Displacements Resulting from seven Seconds of Ballistic Flight Time as Determined by the runga-kutta and Euler Methods /. The minimum, maximum, mean and Standard deviation of the Iteration count Data from the runga-kutta Impact point Test /.

Engineering Reports department of Electrical and Computer

The results / 56 The runga-kutta. Euler-Method Step size essay accuracy test / 56 The runga-kutta Iteration Test / 57 The Shooting Method for Stationary targets first Test / 61 The Shooting Method for moving Targets Test /. Discussion / 73 The ballistic Model / 73 The runga-kutta method / 74 The Shooting Method / 75 Efficiency. Accuracy /. Summary, conclusions, And Recommendations / 78 Summary / 78 Conclusions / 79 Recommendations / 79 References / 80 Appendixes /. The Axial Acceleration Code /. The euler Method Code /. The runga-kutta code /. The rk step size accuracy code /.

engineering report

The research Methodology / 24, treatment of the data for Each Subproblem /. Summary / 32,. The essay ballistic Model /. Introduction / 33, the definition of the Axes /. Gravitational Acceleration / 35, air Density / 36, drag coefficient /. Frontal Drag Determination / 39 z axis Crosswind Drag Determination / 40 The Axial Acceleration Model / 41 Summary /. The runga-kutta method and its Tests / 43 The euler Method Code / 43 The runga-kutta method Code / 44 The Step size accuracy test / 47 The runga-kutta Impact point Determination Code / 47 The runga-kutta Impact point Test /. The Shooting Method for Stationary targets and its Tests / 50 The method of Convergence / 50 The test / 51 vii. The Shooting Method for moving Targets and its Tests / 53 The method of Convergence / 53 The test / 53 viii.

Shooting Method / 21, summary / 22, iii. An overview of the data and Its Interpretation /. The data / 23, general Criteria for the Admissibility of the data / 23, general Treatment of the data /. Systemic Treatment of the data /.

Each algorithms efficiency is judged, and bottlenecks in the system are identified. Table of salon contents, title page /. Abstract / 2, table of Contents / 3, the list of Tables /. The list of Figures /. The Problem and Its Setting /. The Statement of the Problem /. The subproblems / 10, the hypotheses / 10, the definition of Terms /.

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Engineering Project Report, california national university, the efficiency of the runga-kutta and shooting methods. As an aiming system for the m829 anti-tank projectile. An engineering project report submitted. The faculty of engineering, in candidacy for the degree. Master of sciences in engineering, bY, craig owen smoothey. Nairobi, kenya, abstract, the efficiency of a summary computerized aiming solution system for the M829 projectile, which uses the runga-kutta and Shooting Methods, is investigated and evaluated. Computer programs are presented for each algorithm. A realistic ballistic model is used. The number of iterations, and the time required by each algorithm, is measured under selected situations.


Engineering report
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