Inicio  /  Coatings  /  Vol: 9 Par: 11 (2019)  /  Artículo
ARTÍCULO
TITULO

Crack Sensitivity Control of Nickel-Based Laser Coating Based on Genetic Algorithm and Neural Network

Jiangtong Yu    
Wenlei Sun    
Haibo Huang    
Wei Wang    
Yangxiao Wang and Yawei Hu    

Resumen

This paper aimed to establish a nonlinear relationship between laser cladding process parameters and the crack density of a high-hardness, nickel-based laser cladding layer, and to control the cracking of the cladding layer via an intelligent algorithm. By using three main process parameters (overlap rate, powder feed rate, and scanning speed), an orthogonal experiment was designed, and the experimental results were used as training and testing datasets for a neural network. A neural network prediction model between the laser cladding process parameters and coating crack density was established, and a genetic algorithm was used to optimize the prediction results. To improve their prediction accuracy, genetic algorithms were used to optimize the weights and thresholds of the neural networks. In addition, the performance of the neural network was tested. The results show that the order of influence on the coating crack sensitivity was as follows: overlap rate > powder feed rate > scanning speed. The relative error between the predicted value and the experimental value of the three-group test genetic algorithm-optimized neural network model was less than 9.8%. The genetic algorithm optimized the predicted results, and the technological parameters that resulted in the smallest crack density were as follows: powder feed rate of 15.0726 g/min, overlap rate of 49.797%, scanning speed of 5.9275 mm/s, crack density of 0.001272 mm/mm2. Therefore, the amount of crack generation was controlled by the optimization of the neural network and genetic algorithm process.

 Artículos similares

       
 
Ziguang Jia, Guangda Ma, Xin Su, Yibo Li, Chenghao Xing, Shuhan Ye, Xuan Yi and Chunxu Qu    
Ocean platforms that are under complex sea conditions and loads for long periods are prone to fatigue cracks. These cracks may lead to large deformations, even displacement, of the platform, and should be monitored to ensure engineering safety. Cracks ar... ver más

 
Yusuf O. Busari, Yupiter H. P. Manurung, Martin Leitner, Yusuf L. Shuaib-Babata, Muhd F. Mat, Hassan K. Ibrahim, David Simunek and Mohd Shahar Sulaiman    
This research presents the numerical evaluation of fatigue crack growth of structural steels S355 and S960 based on Paris? law parameters (C and m) that are experimentally determined with a single edge notched tension (SENT) specimen using optical and cr... ver más
Revista: Applied Sciences

 
Chuanqing Geng, Wenxiong Shi, Zhanwei Liu, Huimin Xie and Wei He    
As a revolutionary new technique, laser-engineered net shaping (LENS) is a layer additive manufacturing process that enables accurate, rapid and automatic repair of industrial component damage. In the laser repair (LR) process or in service, surface crac... ver más
Revista: Applied Sciences

 
Haisheng Zhao, Jianming Su, Shijie Ma, Chunhua Su, Xiaoyan Wang, Zengguang Li, Jincheng Wei and Shiping Cui    
Millions of tons of reclaimed asphalt pavement (RAP) and reclaimed aggregate or reclaimed inorganic binder stabilized aggregate (RAI) is produced every year in China. The cold recycled mixture (CRM) technology reduces fuel consumption, emissions, and cos... ver más
Revista: Coatings

 
Joyraj Chakraborty, Xin Wang and Marek Stolinski    
Damage detection of reinforced concrete (RC) structures is becoming a more attractive domain due to the safety issues arising in the last few decades. The damage in concrete can be caused by excessive exploitation of the structure or environmental effect... ver más
Revista: Acoustics