Multi-channel piezoelectric type 3D printing spraying head fault identification and state monitor system and method

Abstract

The invention discloses a multi-channel piezoelectric type 3D printing spraying head fault identification and state monitor system and method. The system comprises a spraying head drive circuit, a multi-channel strobe circuit, a piezoelectric signal collecting circuit and a monitoring unit. The spraying head drive circuit is used for providing drive signals to enable a piezoelectric spraying headto carry out spraying. The multi-channel strobe circuit is used for providing multi-channel alternating strobe signals to achieve alternating monitoring over multiple spraying holes of the piezoelectric spraying head. The piezoelectric signal collecting circuit utilizes the self-inducting and detecting manner to collect residual vibration signals in a piezoelectric spraying head runner cavity. Themonitoring unit comprises a drive voltage monitoring module, a liquid viscosity monitoring module, an ink supply pressure monitoring module and a drop spraying speed calculation module and used for monitoring the working state of the piezoelectric spraying head. The system can effectively identify the fault type and the generation reason, the monitoring accuracy is improved, and users can adopt effective measures conveniently. Meanwhile, an external sensor is not needed, and the hardware cost is reduced by means of the alternating monitoring manner. Monitoring can be carried out in the working process of the spraying head, and the monitoring flexibility is improved.

Description

technical field [0001] The invention belongs to the field of advanced manufacturing technology, and in particular relates to a multi-channel piezoelectric 3D printing nozzle fault identification and state monitoring system and method. Background technique [0002] 3D printing is a revolutionary manufacturing method that has been developed since the mid-1990s. Based on the principle of material accumulation molding, starting from the 3D CAD model of the part, the model is discretized, sliced ​​and layered, and then the 2D data is manufactured layer by layer and finally accumulated into a 3D entity to realize the workpiece molding manufacturing. Droplet jetting technology is widely used in 3D printing. However, because the nozzle is a precision device, it is very easy to cause jetting failures such as driving voltage overrun, high-viscosity plugging, and ink supply pressure imbalance. Currently, such failures can only be detected under ink viewing equipment. It was found that...

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Problems solved by technology

[0004] (1) Suncheonhyang University in South Korea uses the self-induction method of the piezoelectric nozzle to extract the residual vibration signal in the nozzle flow channel cavity for analysis, and uses the variance algorithm to detect the nozzle injection state. This method realizes injection failure through a single algorithm characteristic parameter Monitoring, for the overlap and aliasing of characteristic parameters under some injection faults, the fault type cannot be effectively identified, and the droplet velocity cannot be monitored;

[0005] (2) Hangzhou Dianzi University uses a CCD high-speed camera to collect images of ink droplet ejection, and uses the region growth method to extract the ink droplet shape and calculate the speed and volume of the ink droplet. This method can only detect the nozzle at a specific position. The process is cumbersome

[0006] The above methods have the following problems: the specific fault type cannot be effectively identified, which is not conducive to taking corresponding measures; the detection can only be performed at a fixed position, which affects the detection efficiency

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