Digital Modeling And Thermal Analysis Of Engine Piston

Piston is an important component of engine, and its performance has a great influence on that of the whole engine. In this thesis, several key technologies about the digital modeling process of piston that can break some theoretical and technical bottlenecks are researched, and a high precision modeling method for piston based on reverse engineering is also brought forward. The concrete contents are as follows:Combination measuring of coordinates measuring machine with laser scanning, which can be applicable to different geometrical shapes of piston is introduced, and pertinent countermeasures are presented to the measuring results.Rule of piston skirt characteristic curve is investigated, and the curve fitting model of piston skirt is established based on BP artificial neural network. Then, measuring points are replaced with those of fitting curve to calculate the transverse parameters of piston curve in order to obtain the transverse profile, and the method of how to judge the rule of unknown transverse profile is also presented.Finite element model of piston is established, and the calculation method for piston temperature field and the determination problem are researched. Further on, thermal analysis is executed and some advices for further optimal design are proposed. In order to illustrate the effectiveness of the above theories and technologies, an engine piston is developed practically.An integrated design idea based on top-down design and reverse design is adopted in this thesis. On the basis of design parameters extracted from measured data, top-down design is performed followed on with optimization of the design model with the analysis of CAE as guidance. Practice demonstrates that it is a quite effective digital design methodology with high precision, and has wide application prospect.