吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 188-192.

• paper • Previous Articles     Next Articles

Film thickness distribution model with variable parameters for air spray gun

WANG Guo-lei1, CHEN Ken1, CHEN Yan2, ZHU Li3, WANG Li-qiang3, YAN Hua3   

  1. 1. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, China;
    2. Department of Petroleum Supply Engineering, Logistical Engineering University of PLA, Chongqing 400016, China;
    3. Chengdu Aircraft Industrial (Group) Co Ltd, Chengdu 610091, China
  • Received:2010-06-12 Online:2012-01-01 Published:2012-01-01

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Abstract:

The factors affecting the coating thickness and the adjustable and changeable parameters during the working process of the spray painting robot were classified and analyzed. The experimental data acquired by the straight spraying experiment on the flat surface were fitted using a BP neural network. A spray gun model was built using the spray distance, spray gun moving velocity, spray flow rate, and the distance from the measure point to the axis of spray gun as inputs. Compared with the traditional model, the proposed model can predict the distribution of the coating thickness under different spraying distances, spray gun moving velocities, and spray flow rates with the relatively few experimental data. The validation experiments show that the proposed model is accurate and effective.

Key words: automatic control technology, spray painting robot, air spray gun, film thickness distribution, spray gun spray model, BP neural network

CLC Number: 

  • TP242.2


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