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"Using the quantum approaching, the nuclear control rod wing shape optimization method based ancontrol theory in nuclear structure have been intensively developed especially in Canadian DeuteriumUranium (CANDU) nuclear research reactor. The control rod blade dimensions include 5 meters length, 0.80meters diameter, and 0. ll) meters thickness and it has the wing for thermal neutron reaction controlling at theCerenkov's radiation coming up. Moving on normally with 76 mm/second velocity. The floating of U particlein 2. l .r l05 currie/mm thermal neutron flux is one problem in nuclear control rod wing manufacturing. Basedon quantum approaching in transuranium nuclear chain control theory, the structural and thermal neutronflux flow is the best optimization technique for 450 tesla magnetic field weight and 45.7 MW adjusted power.This research purposed for new shape of nuclear control rod wing by several mathematical formulations havebeen modeled by Euler equations and build the miniature of control rod wing, then the angle has expectedaround 37.6° until 421° based on Sr20 matrix as the primer material and DUO; loading is the nuclearchamber:"

"This book presents a new approach to learning the dynamics of particles and rigid bodies at an intermediate to advanced level. There are three distinguishing features of this approach. First, the primary emphasis is to obtain the equations of motion of dynamical systems and to solve them numerically. As a consequence, most of the analytical exercises and homework found in traditional dynamics texts written at this level are replaced by MATLAB®-based simulations. Second, extensive use is made of matrices. Matrices are essential to define the important role that constraints have on the behavior of dynamical systems. Matrices are also key elements in many of the software tools that engineers use to solve more complex and practical dynamics problems, such as in the multi-body codes used for analyzing mechanical, aerospace, and biomechanics systems. The third and feature is the use of a combination of Newton-Euler and Lagrangian (analytical mechanics) treatments for solving dynamics problems. Rather than discussing these two treatments separately, Engineering Dynamics 2.0 uses a geometrical approach that ties these two treatments together, leading to a more transparent description of difficult concepts such as "virtual" displacements."