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Can I read Computational Prediction of Complicated Atmospheric Motion for Spinning or Non-spinning Projectiles on EtoBox?
Computational Prediction of Complicated Atmospheric Motion for Spinning or Non-spinning Projectiles by Gkritzapis Dimitrios N., Panagiotopoulos Elias E., Margaris Dionissios P., Papanikas Dimitrios G. is a nonfiction available to read on EtoBox.
What is Computational Prediction of Complicated Atmospheric Motion for Spinning or Non-spinning Projectiles about?
World Academy of Science, Engineering and Technology. 31. 2007. – 5 p. A full six degrees of freedom (6-DOF) flight dynamics model is proposed for the accurate prediction of short and long-range trajectories of high spin and fin-stabilized projectiles via atmospheric flight to final impact point. The projectiles is assumed to be both rigid (non-flexible), and rotationally symmetric about its spin axis launched at low and high pitch angles. The mathematical model is based on the full equations of motion set up in the no-roll body reference frame and is integrated numerically from given initial conditions at the firing site. The projectiles maneuvering motion depends on the most significant force and moment variations, in addition to wind and gravity. The computational flight analysis takes into consideration the Mach number and total angle of attack effects by means of the variable aerodynamic coefficients. For the purposes of the present work, linear interpolation has been applied from the tabulated database of McCoy’s book. The developed computational method gives satisfactory agreement with published data of verified experiments and computational codes on atmospheric projectile
Who reads Computational Prediction of Complicated Atmospheric Motion for Spinning or Non-spinning Projectiles?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gkritzapis Dimitrios N., Panagiotopoulos Elias E., Margaris Dionissios P., Papanikas Dimitrios G.
- Language
- EN
- Category
- nonfiction
- Subjects
- Technology, Stem
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