With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality pred...With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality prediction models have many disadvantages,such as high complexity and low accuracy.To overcome the above problems,we propose an optimized data equalization method to pre-process dataset and design a simple but effective product quality prediction model:radial basis function model optimized by the firefly algorithm with Levy flight mechanism(RBFFALM).First,the new data equalization method is introduced to pre-process the dataset,which reduces the dimension of the data,removes redundant features,and improves the data distribution.Then the RBFFALFM is used to predict product quality.Comprehensive expe riments conducted on real-world product quality datasets validate that the new model RBFFALFM combining with the new data pre-processing method outperforms other previous me thods on predicting product quality.展开更多
The 3─roll reducing processes are simulated and predicted by using 3─D elastic─plastic large strain FEM on the PC / 386 computer.The displacement field and flow field of workpiece deformation are given. The interna...The 3─roll reducing processes are simulated and predicted by using 3─D elastic─plastic large strain FEM on the PC / 386 computer.The displacement field and flow field of workpiece deformation are given. The internal angle defects of the seamless tube are studied in detail during 3─roll reducing.the predictions of the forming product quality and technology parameter are realized by means of PC / 386 computer.展开更多
基金supported by the National Science and Technology Innovation 2030 Next-Generation Artifical Intelligence Major Project(2018AAA0101801)the National Natural Science Foundation of China(72271188)。
文摘With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality prediction models have many disadvantages,such as high complexity and low accuracy.To overcome the above problems,we propose an optimized data equalization method to pre-process dataset and design a simple but effective product quality prediction model:radial basis function model optimized by the firefly algorithm with Levy flight mechanism(RBFFALM).First,the new data equalization method is introduced to pre-process the dataset,which reduces the dimension of the data,removes redundant features,and improves the data distribution.Then the RBFFALFM is used to predict product quality.Comprehensive expe riments conducted on real-world product quality datasets validate that the new model RBFFALFM combining with the new data pre-processing method outperforms other previous me thods on predicting product quality.
文摘The 3─roll reducing processes are simulated and predicted by using 3─D elastic─plastic large strain FEM on the PC / 386 computer.The displacement field and flow field of workpiece deformation are given. The internal angle defects of the seamless tube are studied in detail during 3─roll reducing.the predictions of the forming product quality and technology parameter are realized by means of PC / 386 computer.
