Development of Dynamics for Design Procedure of Novel Grating Tiling Device with Experimental Validation

Abstract

The article proposes a dynamic for design (DFD) procedure for a novel aperture grating tiling device using the multibody system (MBS) approach. The grating device is considered as a rigid-flexible MBS that is built primarily based totally at the load assumptions because of grating movement. This movement is utilized in many industrial applications, such as the compression of laser pulse, precision measuring instruments, and optical communication. A new design procedure of tiling grating device frame is introduced in order to optimize its design parameters and enhance the system stability. The dynamic loads are estimated based on the Lagrange multipliers that are obtained from the solution of the MBS model. This model is fully non-linear and moves in the three-dimensional space, and the relative movement of its bodies is restricted by the description of the constraints function in the motion manifold. The mechanism of the grating device is structurally analyzed in keeping with the dynamic conduct and therefore the generated forces. The symbolic manipulation as well as the computational work of solving the obtained differential-algebraic equations (DAEs) is carried out using MATLAB Symbolic Toolbox. Once the preliminary design has been attained, the stress behavior of the grating device is examined using the MATLAB FEATool Multiphysics toolkit, regarding system stability and design aspects. Moreover, the design was constructed in real life, and the movement has been verified experimentally, which confirms the effectiveness of the proposed procedure. In conclusion, the DFD procedure with trade-off optimization is utilized successfully to design the grating unit for maximum ranges of grating movements.

Dynamic Modeling and Investigation of a Tunable Vortex Bladeless Wind Turbine

“…Moreover, Equation ( 8) yields the fifth EOM that is needed to describe the full dynamics of the turbine, including the four generalized coordinates and Lagrange's multiplier. In general, if the constraint equation (C) is explicitly a function of time and the generalized coordinates vector (q = [q 1 , q 2 , q 3 , q 4 ] T ) such that C = C(q, t), then taking the second time derivative of the constraint equation yields [27]…”