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Chen H.,Zhejiang Industry Polytechnic College
Applied Mechanics and Materials | Year: 2011

Aiming at the turning issue of PID control in industrial processes, a strategy of applying variable PID parameters was presented. This paper utilized the characteristic that genetic algorithm can rapidly optimize globally, performance indexes can form corresponding fitness functions through real number encoding of parameters of the controller, and best parameters of the controller can be obtained through adopting self-adaptive mutation rate for repeated genetic manipulation. Simulation results show that the method improves the optimal performance of parameters, and can achieve better dynamics performance and control effect. © (2011) Trans Tech Publications.

He B.,Zhejiang Industry Polytechnic College
Procedia Engineering | Year: 2011

The working conditions of the plastic mold are complex. They touch directly with the plastic, withstand the pressure, temperature, friction and corrosion and so on. The main failure modes of the plastic mold surface wear, deformation and fracture. The main failure reasons depend on working conditions, mold materials and heat treatment, etc. So material selection and heat treatment of the plastic mold are more important. Material selection of plastic mold is decided by their using performances. According to the mold types, material types and performance requirements, we select different heat treatment. © 2011 Published by Elsevier Ltd.

Hu H.,ZheJiang Industry Polytechnic College
Advanced Materials Research | Year: 2012

By researching on the self-cleaning characteristic of nanometer material, and the dispersion and stability of nanometer particle, a kind of environmentally friendly nanometer finishing agent was exploited and developed. Application results of this nanometer self-cleaning agent on textile fabrics showed that this finishing agent had self-cleaning effect to remove capsicum oil. Generally speaking, over 10% dosage of nanometer material finishing agent would allow the self-cleaning effect completely in 24 hours. Meanwhile, after being finished with this self-cleaning agent, the fabric wearabilities were not changed. © (2012) Trans Tech Publications.

Xu W.J.,Zhejiang Industry Polytechnic College
Applied Mechanics and Materials | Year: 2011

This text finds that the concentration ratio of automobile industry market in China overall takes on rising trend, which is based on the calculation of automobile industry market's concentration ratio in China between 2001 and 2008, the characteristics of market structure is similar to oligarch competition since 2008. According to industrial organization theory, people come up with the theoretical model of automobile industrial performance, including the variables of industry concentration ratio, profit ratio, research and development intensity, product differentiation, entry barriers and so on. Empirical evidence shows that the relation between profit ratio and the concentration ratio of automobile industry market is remarkably positive, while it is negatively related with research and development density and product differentiation. It also finds that the key point to improve profit ratio of China's automobile industry is enhancing central technical level. © (2011) Trans Tech Publications.

Chen Q.,Zhejiang Industry Polytechnic College
Applied Mechanics and Materials | Year: 2011

Compressive performance of honeycomb paperboard was studied by way of FEM and verified by experiment. First, the collapsing process was divided into four parts: linear elastic phase, elastic-plasticity phase, plasticity collapse phase and densification phase. Second, the models were built on the FEM software and analyzed their nonlinear collapse process. It could be known that: the damage started in the intermediate region of honeycomb core; the collapse process met the theory analysis; the models with different side length of paper-core had a bearing up on compressive strength. At last, the results were verified by experiment, which was bigger value due to air and glue water existed in honeycomb core. © (2011) Trans Tech Publications.

Lichun X.,Zhejiang Industry Polytechnic College
Advances in Information Sciences and Service Sciences | Year: 2012

Adaptive local image enhancement techniques make use of the local characteristics of the image, and combine the image contrast enhancement with edge preservation and denoising so as to achieve local area enhancement. It can improve the image quality and overcome the deficiency of the global image enhancement techniques. This paper mainly researches on adaptive local image enhancement technique based on partial differential equations. In order to overcome ill-pose of the P-M model and the filtering performance's heavy dependence on iteration times, we introduce a fidelity term to improve both the stability and the ability of detail-preservation.

Chen H.,Zhejiang Industry Polytechnic College
Applied Mechanics and Materials | Year: 2012

Because the characteristics of the liquid level control conditioner are nonlinear, strong inertia, time-variant and pure delay, the conventional PID control is often ineffective. A fuzzy immune PID controller was designed based on the immune feedback mechanism and the fuzzy control theory, used the genetic algorithm to optimize the immune PID parameters, established a the liquid level control of water tank control system model, and applied fuzzy immune PID control technology to simulate the liquid level control through Matlab emulation., simulation results show that the control system has the characteristic of rapid adjustment, high regulation enec, therefore it has the feasibility and the promotion of a certain value. © (2012) Trans Tech Publications.

Wu X.X.,Zhejiang Industry Polytechnic College
Advanced Materials Research | Year: 2011

This paper presents the oil quality evaluation system and establishes the two-stage fusion model based on multi-sensor information fusion technology. It also develops the oil quality evaluation model based on neural network model. With the advantages of multi-source information technology, the model implements comprehensive evaluation for oil quality, and provides a set of neural network training process and its results which achieve the oil quality evaluation based on information fusion. The case study shows that the prediction results for four kinds of oil samples by evaluation model based on multi-source fusion are consistent with the actual results. The comparison between operation test trend predictions and actual tests also shows the correctness of the oil quality evaluation model. The proposed multi-information fusion technology for oil quality evaluation system improves the evaluation accuracy and reduces dependence on technical personnel's analysis experience, which is of great importance for improving the technical management level and the awareness of oil lubrication properties. © (2011) Trans Tech Publications.

Wang W.,Zhejiang Industry Polytechnic College
Advanced Materials Research | Year: 2011

The importance of cam contour curve and the necessity of cam reverse engineering are discussed. The error sources during the course of cam reverse design are analyzed. The growth form innovative design method is researched, especially product structure growth form design method. The information of structure, dimension and tolerance should be perfected gradually during the course of growth form innovative design, and finally perfected when the product structure is finished, furthermore, using the current structure, dimension and tolerance information to conduct evaluation and control in the grow direction during the design process, to achieve the ultimate purpose of optimization design. Taken the innovative design of an precision cam as an example, the reconstruction of product structure and the product prototype reverse design are finished, and then the product is innovative designed. A practical designs technical ways based on growth form innovative design is systemly provided. © 2011 Trans Tech Publications, Switzerland.

Chen H.,Zhejiang Industry Polytechnic College
Journal of Software | Year: 2012

This article describes the composition and working principle of electro-hydraulic position servo control system, and establishes a systematic mathematical model. This article presents a controller which is based on Fuzzy neural networks for an electro-hydraulic speed governor. The design process of the RBF Fuzzy neural network control is introduced in detail. This controller which combines the advantages of the Fuzzy control and Neutral networks control can get the best PID parameters by selfadjustment on line. The simulation study proves that this control system has a better adaptability and can improve the control effect greatly. © 2012 ACADEMY PUBLISHER.

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