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From Figure 4 we see that (5) can be rewritten as and. Figure 4 Computation of angles.
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The aim of this ex vivo study was to test a novel three-dimensional (3D) automated computer-aided design (CAD) method (aCAD) for the computation of femoral angles in dogs from 3D reconstructions of computed tomography (CT) images.
The method presents satisfactory results in the computation of Euler angles and of focus coordinates parallel to the radiographic plane.
Efficient computation of the angles can be achieved by first solving a discrete Lyapunov equation, for details of which we refer the reader to [23].
Kinematic data, marker position data obtained by an optical motion capture system, were used for computation of the angles (varvec{q}), angular velocities (dot{varvec{q}}) and angular accelerations (ddot{varvec{q}}) of each joint.
The computation of preference angles and VS involves many preprocessing steps like clipping and normalization to a cocktail blank.
Then, the ANN based absorptivity was employed in the FEM model for computation of bend angle.
The predicted absorptivity is then employed in the FEM model for accurate computation of bend angle.
In this work, an FEM ANN based integrated approach is developed for accurate computation of bend angle during laser bending process.
Initially three-dimensional nonlinear thermo-mechanical FEM based numerical model is developed for computation of bend angle for given process conditions.
Within the scope of process conditions used in the present work, the proposed approach was found to be accurate in the computation of bend angle with an average error of 4.14 %.
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