Research On 3D Printing Optimized Technology Based On Vibration Test System

With the development of industry 4.0 and intelligent manufacturing, 3D printing technology gradually raises its status in the manufacturing industry and comparing to the traditional manufacturing method it has a promising advantage, which can greatly decrease the development cycle time and cost for the product. FDM 3D printer is the most widely used type of 3D printers and mature the class of 3D printers. However,its frequent starts-and-stops feature can lead to the vibration which could affects the surface quality of the parts. Rearch on this subject as a starting point and design the FDM 3D printer and vibration testing system to explore the vibration characteristics of the printing platform. Specific contents are as follows:At first, the conception of “source” is expounded in a blind source separation model, and make three assumptions for the separation of the signal source that is regarded as what we need. Then to explore the feasibility of the wavelet denoise theory, we propose a Wavelet denoise method based on the default threshold weighing. And research on the numerical integration of vibration acceleration signal, a frequency-domain integral method based low-frequency cutoff is established and make the simulation quantitative analysis of the integrated error to enhance the precision of the integration through the denoise-DC method. What is more, ICA is elaborated and the Fast ICA based on Bior wavelet decomposition is proposed in the the case for blind-source-lacking separation.Then the original structure of FDM 3D printer is ameliorated and optimized the completion of the mechanical structure design. The overall vibration signal acquisition system intends to be designed, and we make the hardware selection completed. To apply the DLL technology to achieve data collection compiled DMA-based program, which is based on the Labview software platform.Finally, the different vibration signals are captured to analysis the property of correlation, in order to verify the reliability of the data results; then, the vibration signal characteristics of different components are shafted by the method of Fast ICA based on Bior wavelet decomposition. Furthermore, we explore the different kinematic parameters which result the printing head in vibration and apply orthogonal experiment quantitative analysis to figure out the main impact of kinematic parameters of vibration. Some constructive suggestions should be given and based on this optimized trajectory. Meanwhile, the effects of vibration are shown by the analysis of the different trajectories, obtain the relevant information of the relationship between the vibration energy and its frequency.