Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ding Tong Zhang"'
Publikováno v:
Applied Mechanics and Materials. :950-954
A novel and saving energy rare earth lifting permanent magnetic chuck was designed based on neural network. The working principle, the neural network model of magnetic circuit design and the self-acting driving system of rare earth lifting permanent
Publikováno v:
Advanced Materials Research. :125-128
Based on our proposed superposition principle of the magnetic field, the drive system of parallel moving type and rotation moving type lifting permanent magnet were designed. Industry prototypes were manufactured, respectively, and they verify that t
Publikováno v:
Advanced Materials Research. 662:653-656
The permanent magnet lifting chuck has been designed. The working principle was proposed. The fuzzy expert system of lifting chuck magnetic circuit was developed. Meanwhile, the perfect self-acting driving system has been invented. Industry prototype
Publikováno v:
Advanced Materials Research. :355-358
The optimal saving energy permanent magnet lifting chuck has been designed. Working principle of this technology is introduced. Magnetic circuit design is carried out by finite element method (FEM). At the same time, a perfect self-acting driving sys
Autor:
Ning Ding, Ding Tong Zhang
Publikováno v:
Advanced Materials Research. 569:391-394
At present, the lifting electromagnet is widely used in almost all the countries in the world. But it has some fatal disadvantages related to the electrical power input that it requires among other things. To eliminate these disadvantages, a Rare Ear
Autor:
Ding Tong Zhang, Ning Ding
Publikováno v:
Advanced Materials Research. :3066-3069
To eliminate the disadvantages of the lifting electromagnet, the Rare Earth lifting permanent magnet was designed. The magnetic circuit intelligent optimization design was developed. Moreover, a perfect self-acting driving system has been invented. I
Publikováno v:
Applied Mechanics and Materials. :123-126
Based on the theory of roughness during cylinder grinding and the theory of fuzzy-neural network, a surface roughness intelligent prediction model is developed in this paper. The feed, speed, and the vibration data are the inputs for the model. An ac
Publikováno v:
Advanced Materials Research. :2846-2849
An novel Rare Earth Lifting Permanent Magnet was designed, which can completely overcome the disadvantages found from conventional lifting electromagnet. The working principle of Rare Earth Lifting Permanent Magnet is developed. At the same time, a p
Publikováno v:
Applied Mechanics and Materials. :621-624
In this paper, first, the relation between roughness and grinding parameters is built. Then, an intelligent dynamic identification model of surface roughness is developed, which bases on the theory of roughness during grinding and the theory of fuzzy