Kinematic Scheme Solving And Performance Parameter Optimization Technologies For Complex Products And Their Application

Many specific methods should be used in the design of complex product, in order to guarantee its final creativity and robustness, and meanwhile make the design itself efficient enough. In this paper, kinematic scheme solving and performance parameter optimization technologies were studied, mainly focusing on product kinematic scheme design, performance parameter optimization and multi-performance simulation. According to practical requirement of engineering projects, these technologies have been successfully applied in developing real products.This paper was organized as follows:In the first chapter, the research background was explained, and it was indicated that research on kinematic scheme design and parameter optimization is important. Current research on kinematic scheme design, parameter optimization and simulation-based design areas was discussed. Based on these reviews, the deficiency in existing methods was analyzed. The main ideas of kinematic scheme solving and performance parameter optimization technologies were given, along with the primary research contents and the thesis structure.In the second chapter, a semi-ring weighted automata based kinematic scheme design method was proposed. Function Semantic Unit model was used to express design information in kinematic scheme design process of mechanical product, in order to capture and express designers'design intention reasonably. Cognitive model of kinematic scheme design was built up, and semi-ring weighted automata were employed to compile this model. Parallel meta-automation and feedback meta-automation were defined respectively to solve Function Semantic Unit. Based on these two models and automation operations such as disjunction and reverse, cascade solving, parallel solving and feedback solving of Function Semantic Unit were achieved. Finally, a design example was taken to elaborate K-WFA based kinematic scheme design process and demonstrate its feasibility.In the third chapter, an improved inductive design exploration method (I-IDEM) was put forward. In this method, importance information of space variables was acquired by evaluating correlation degree of each variable. According to importance of each space variable, Comprehensive Hyper Dimensional Error Margin Index (HD-EMI) in variable space was defined to characterize robustness of discrete points in input space. Feasible point checking equation was established, in which differences between space variables were considered, to further reduce target dimensions in optimization and distinguish variables with different importance. Compromise Decision Support Problem method (cDSP) was used to identify the best solution from the sub-set, using deviation of comprehensive HD-EMI in each output space from its target as objective function. Finally emergency power equipment in stereoscopic garage was designed based on I-IDEM, and Monte Carlo Simulation was adopted to compare design results.In the fourth chapter, the procedure of multi-performance simulation of complex product was introduced. Component based simulation method was analyzed, and formal description of simulation component was given. Kinematic analysis, dynamic analysis and static analysis were performed on MINI-type stereoscopic garage or its key parts. Finally, customer satisfaction analysis method for simulation results was introduced, and its satisfaction criterion was given.In the fifth chapter, XIZI-SIP system was developed. This system integrated product development and simulation function. The proposed kinematic scheme solving and performance parameter optimization technologies were respectively applied in its modules of kinematic scheme generation, quality characteristics optimization, and visualization simulation, etc. The architecture and main modules of this system were introduced separately, and an example of PSH2-type lift-sliding stereoscopic garage was taken to explain the design process in detail.In the sixth chapter, key research contents and achievements were summarized, and future research was discussed.