Design & development of a simulation system for ballistic missile
The computation of the positioning and launching parameters wrt time, for missile system is done by the interface unit called Intercept missile unit (IMU) controlled by computer. When the trajectory is simulated using six degree of freedom to estimate the velocity and location at any instant, this simulation helps in estimation of position coordinates (x, y, z) & angular rotations φ, θ, ø w.r.t time. Aim of this paper is to calculate accurate parameters in computation of trajectory estimation. This proposed algorithm is applicable for Pre-selected range technique. The computed parameters help in deciding kinetic energy to missile for correct hit to target. The proposed simulation were implemented with the experimented data generated for missile having approximate 5 ft diameter with initial power 900ft/s. Apart of this a comparative analysis of proposed simulation with already existing simulations is shown in Table I. Actual developed GUI is shown Fig. 3, which give a clear idea about the merit of this approach. So, this investigation helps to determine the trajectory arcs for missile to hit target accurately.
Analysis of Different Approaches for Gun Ammunition to Hit Aerial Target
The role of fire control system is to orient the gun at proper position to hit the moving target accurately. Aim of this paper is to study the different approaches and to analyze the gun ammunition characteristics to hit the aerial target. The described approaches would help in the selection of killing range. These approaches have been implemented with the experimental data generated for guns. The experimental data has been analyzed for suitability of particular technique under different circumstances. This work contributes in prediction of firing angle that includes ballistic offset and lead angle above the angle of sight to engage a moving target from static tank.
Prediction of a representative point for rail temperature measurement by considering longitudinal deformation
Monitoring rail temperature is very important for determining the safe running speed of trains and to prevent buckling. In general, the maximum variation of the internal rail temperature can be >7 ℃ depending on the point of measurement. However, there is as yet no sufficient information about how to predict the measurement point to represent the thermal deformation due to temperature distribution. In this study, the authors report a new point, called the representative measurement point, at which the rail temperature can be measured. This point considers the average deformation of the rail through structural analysis by adopting experimental and actual rail temperature data. The authors designed and installed a measurement system similar to an actual rail environment. Using the system, various data were acquired (internal/surface rail temperature and weather data) for 10 months. On the basis of these data, an analysis was done to calculate the average deformation point through thermal analysis. Finally, the representative measurement point was proposed as the position at which the average deformation point converges regardless of weather or seasons. The authors believe that the method described herein is advantageous in that it could be used in a high-accuracy temperature-monitoring system and for predicting thermal deformation and buckling.