Characteristic Analysis and Coating Application of the Innovative HVOF System Based on the Digital Model

Author:

Yan Mingxia12,Yuan Xiaojing1,Su Qingdong23ORCID,Sun Zhensheng1,Zhao Guan1,Zha Bailin3

Affiliation:

1. Missile Engineering College, Rocket Force University of Engineering, Xi’an 710025, China

2. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China

3. Project Management Center, Beijing 100085, China

Abstract

In view of the poor working conditions, high cost and time-consuming parameter design of the traditional spray process, an innovative HVOF thermal spray system based on the digital model has been established by this study to improve coating performance and optimize scheme design rapidly. In particular, the digital model of the oxygen/kerosene HVOF spray system is designed on the AMESim multidisciplinary simulation platform for the first time, and the engineering prototype has been successfully developed. Thus, an efficient design method based on the digital model was proposed, according to which the spray control parameters such as oxygen and kerosene flow are obtained conveniently under a combustion chamber pressure of 1.0 MPa and 2.0 MPa, respectively. The error between the simulation and experiment results was generally less than 5%, and the dynamic characteristics of the key components in the actual spray system were well predicted, suggesting that the dynamic response time of the system would generally less than 0.7 s. Additionally, the WC-12Co coatings were deposited under the working conditions of W1.0 and W2.0, respectively, the microhardness of the coating increased about 23% and the corresponding volume wear rate decreased about 18%. The results show that the increase of the pressure of the combustion chamber can further improve the coating performance, which also verifies the feasibility and reliability of the design method. It was concluded that the innovative HVOF system based on the digital model is of great theoretical value and application significance for predicting spray process parameters conveniently and providing excellent coating performance.

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

MDPI AG

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