开宇（Kaiyu） 郁（Yu）

FEA for E-Mobility driving system

Quality Management

Creating new concepts, improving design and coordinating production

Based on Particle Swarm Optimization, augmented Lagrangian PSO and Mechanical PSO different strategies are developed, so that the swarm robots (Robotino from company Festo) can explore the targets in an unknown enviroment. New strategies based on those algorithms have been developed and implemented for realizing of searching for multiple targets. Some of them combine artificial potential fields for robot motion planning. This thesis concludes modifications of the algorithm, simulations and experiments.

A hexhedral mesh grid is constructed with program ANSYS ICEM CFD. The minimal angle is 19.2 grade from all the elements. Different cases (e.g. operation points, y+ values and turbulence models) are performed in ANSYS CFX and OpenFOAM codes. A comparison between simulation and experiment tells an agreement.

Simulation of FTire tyre models for digital test bench is performed, and the simulation results are compared with another tyre model RMODK-7. A good agreement shows out.

Simulation of street driving is performed by means of Multi-body System (MBS) entire vehicle model with different tyre models for mercedes E-Class. It is a co-simulation comined LMS Virtual.Lab with RMODK-7 tire simulation program. The simulation results are evaluated for analysis of the ride comfort. A graphical user interface for optimization of tyre models is developed. An interpolation program has been developed to assist the tire optimization.

渗透的碳纳米管混合材料模拟软件开发： A 3D model for composite with random distribution of carbon nanotubes (CNT) is constructed in program Matlab. An modified Union-Structure algorithm has been developed for ascertaining the percolation path of this composite. A graphical user interface and a date manager are developed for the user.

To improve mechanical construction and assist experiment tests and measurements by applying the methods of modelling and simulation (CAE).