Authors: Ya Liang Wang, Yong Chen
Abstract: The original equipment manufacturing mode of the multi-species, multi-process and multi-unit is the main mode in Zhejiang manufacturing industry, the workshop layout affect directly the production efficiency and cost. The paper analyzed the impact factors of discrete operations workshop layout, established the Multi-Agent mathematical model of discrete operations workshop layout by using Multi-Agent theory, put forward the objective function of the workshop layout, and carried out empirical study by typical enterprises. By analyzing raw data of ZJ manufacturing enterprise, brought forward two layout programs based on mathematical model of Multi-Agent, evaluated the benefits and chose the better one of the two programs according to the objective function. The results after the implementation showed that the logistics measuring pitch of the program after selection is small, and the workshop area utilization is higher, and the equipment cost is reasonable. The model and optimization technology of discrete operations workshop layout based on Multi-Agent theory has important practical significance and good feasibility.
3888
Authors: Ya Liang Wang, Shi Ming Ji, Li Zhang, Yong Chen, Y. Zhang
Abstract: This paper studies mainly apples non-destructive selection technology, and presents the principle and implementation of non-destructive selection system for apple quality based on the theory of the fuzzy and neural network. Firstly, we can differentiate the kinds of apples by neural network theory. Then, the apple’s quality greatly depends on its size, shape, and color, which are considered as three input parameters in selection system. The pick-up of three character parameters is handled by computer image processing. Only one output parameter is apple rating, which is fall into three grades: A, B and C. Regarding three character parameters as input, we obtain the apple grade based on fuzzy arithmetic. Finally, we set forth the archetypal non-destructive selection system, which includes robot, AGV, conveyor, sensors and etc. Results of experiments show that this method can distinguish the apple’s quality as well as we set before the experiments, and the non-destructive system is feasible.
705
Authors: Ya Liang Wang, Shi Ming Ji, Li Zhang, Shou Song Jin, Yong Chen
Abstract: The tool wear detection system based on the image processing and computer vision has
better study value and foreground. The paper brings forward the detection method of the tool wear
condition, which solves the two main problems. Firstly, gets the high quality images by fuzzy
restoration arithmetic. Because the cutting tool is always at the movement state during the cutting,
the real-time collected sequence images by CCD sensor are blurred with noise. Then, obtains the
character parameter uniformity Q2 by calculating gray co-occurrence matrix, which can distinguish
the cutting tool is weared or not weared. The experimental results indicate that detection of the tool
wear condition by computer image processing reach our aim.
553
Authors: Ya Liang Wang, Shi Ming Ji, Yi Xie, X.J. Lan, Jian Sha Lu, Shou Song Jin
Abstract: The tool wear monitoring system based on the image processing and computer vision has
better study value and foreground. During the cutting, the cutting tool is always at the movement
state, thus, the real-time collected sequence images by CCD sensor are blurred with noise. As a
result, we have to confront the problem how to get the high quality images, which is researched by
this paper. The paper analyzes the reasons which causing the image blurred, brings forward a
degradation function model and finds the degradation of tool wear images dues to the relative
movement. According to this function model and combined with the application of fuzzy theory, the
restoration algorithm is obtained. The membership function dealing with degraded images of
cutting tools is put forward. It turns out that the images restored by this fuzzy restoration algorithm
reach our aim.
324
Authors: Shi Ming Ji, L.B. Zhang, Li Zhang, X.J. Jia, Qiao Ling Yuan, Ju Long Yuan, J.X. Shi, Ya Liang Wang
Abstract: The mechanism responsible for scanning probe field-induced oxidation in ambient air is
attributed to an electrochemical process, i.e., anodic oxidation or anodization,after the analyses is
given of a surface of a sample exposed to air. The effects of biases, tip speeds on morphology of
field-induced oxidation, are introduced and deduced in the form of kinetics formula of oxidation
growth. The field-induced oxidation of hydrogen-passivated Si (Si:H)using contact-mode AFM in air
at room temperature is investigated. The result achieved from the experiment and that drawn from
theoretical analysis are identical, which indicates the accuracy of the experimental operation.This
experiment suggested that it may be used for further investigation of field-induced oxidation
technology.
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