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School-enterprise cooperation is the effective way to help school cultivate applied talents, enterprises enhance the core competitiveness and students get the best opportunities. Jilin University of Finance and Economics has made great achievements. Combined with the school-enterprise cooperation case of our university, we analyze the factors that affect the school-enterprise cooperation. Then the innovative model and new thinking of the school-enterprise cooperation is given for colleges and universities of finance and economics.

SPC method is a process controlling tool with the aid of mathematical method. Define, Measure, Analysis, Improvement and Control is the implementation processes of quality management. Combined with the two methods, the quality fluctuation in the production process could be controlled effectively and qualified products rate could be enhanced excellently. In this paper, the film thickness problem of motor shell coating production line has been studied based on statistical process control and DMAIC processes. The Pareto diagram, cause and effect diagram, operation chart are used to inspect production defects in the process. At same time, the factors leading to product defects are determined. Then, DOE method is applied to find the best parameters of electrophoresis coating process. SPC method is adopted to monitor the improved film thickness. The results show that quality level of coating process has improved greatly.

To improve the knowledge management during product design process, a new model of knowledge composition and knowledge activity is constructed within or between organizations and persons. And based on the analysis of knowledge acquisition, transfer and innovation, the strategy for the implement of knowledge management project is proposed. At last the functions and structures of a software system are provided that supporting the knowledge management for product design in an manufacturing enterprise.

The correct inventory strategy is important to control reasonable inventory within manufacturing enterprises. And a new material inventory strategy is proposed based on the classification scheme according to the prosperities. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

During the welding assembly process of automotive exhaust system, several welding defects will occur if the process parameters are incorrect, which affects the quality of products seriously. Six Sigma quality management is an advanced methodology for reducing the manufacturing costs, shortening the production cycle, and improving the product quality significantly. In this paper, the Six Sigma DMAIC method is applied to control the welding assembly process of automobile exhaust system. It is observed that the biting edge and stomata are the two main weld defects accounting about 85% of the total number of defects. In order to reduce the number of biting edge, causal diagram is used for analyzing the factors influencing the welding process. After the experiment, it is convinced that the process parameters of welding torch angle, welding speed and argon flow are the key factors affecting the biting edge significantly. Then, the optimum process parameters are determined by means of the DOE method, and the control chart is adopted to monitor the effect of process improvement. The results show that defects per million opportunities (DPMO) of biting edge could be controlled less than 1500 which is better than the target number of 5000. It is also proved that the Six Sigma DMAIC methodology is efficiently. Therefore, the stomata defects are reduced in the same way, the level of product quality is raised from 3.55σ to 4.52σ, and the competitiveness of the enterprise would be enhanced greatly.

A control system is developed based on PC, which could collect real-time data and monitor the equipments state for assembly line. The software platform is C#. The technology of sensors, PLC, computer are integrated, and OPC technology is used based on the idea of configuration software to achieve an automatic monitoring system. The data of PLC can be exchanged through the database system integrated in PC. The complex calculation, friendly man-machine interface are achieved in the system. Through monitoring the equipment and environment on the shop floor on-line, the causes of the problems in automatic assembly line can be accurately analyzed in time to make a quick deal. The result shows that the PC-based monitoring system is easy to control, convenient to operate and low-cost to develop and run.

The material tracking management system in the magnetic pump assembly process is studied to the machine shop and assembly shop of a pump company as an example. The system mainly includes production line management module, assembly process management module, material tracking management module and work in process (WIP) tracking management module. In this system, the workshop visual management, real-time status information collecting on-site, materials status monitoring, and product life cycle file establishing are implemented. The functions of product assembly processes tracking can be realized, so that the traceability of the parts, components, WIP and products in the process can be achieved. The system ensures the material supply timely and equipment operation normally in the production processes.

The quality improving of locomotive maintenance service is studied based on Six Sigma. The maintenance service progress has been optimized by DMAIC mode. First of all, the quality problems have been proposed. Then, the factors which impact on quality of after-sales service are found by QC tools. Secondly, the main problems in the progress would be controlled conveniently. Finally, the improved maintenance services process is developed correspondingly. In order to ensure the quality of the maintenance in the delivery period, some measures are taken such as adjusting the allocation time in the repair process, developing a strict examination system. The result shows that the maintenance efficiency and customer satisfaction has been improved significantly.

Three dimension temperature fields and stress-strain fields of the 6110-type diesel engine piston were analyzed by using the program ANSYS. The simulating tests of crack propagation under high temperature low cycle fatigue were carried out with pre-crack notched specimens. According to the theory of high temperature strength and fracture, the equivalent J-integral range ΔJf were induced to predict the surplus fatigue life of diesel engine piston. It was concluded that this approach is suitable and provides valuable reference for designers of diesel engine.

By the investigation of the 400°C low cycle fatigue behavior of 4 kinds of notched cylindrical specimens made 2.25Cr-1Mo stee1. The high temperature low cycle fatigue life was evaluated by the criterons of equivalent range. The results show that equivalent criterion for evaluating high temperature low cycle fatigue life has its experimental and theoretical foundation, but further investigation is still needed．

The crack propagation law of 2.25Cr-1Mo steel with notched cylinder was researched under high temperature low cycle fatigue. The crack propagation life was viewed by fatigue experiment and the equivalent stress-strain on the crack tip was calculated by the ANSYS. The equivalent J-integral range which was computed by equivalent elastic and plastic strain ranges were employed to denote the fatigue crack propagation rate. The results showed that crack propagation law of this material under complex stress state can be characterized by equivalent J-integral ranges and the relation between da/dN and ΔJf is not influenced by the type of notch and the load strain range.

In order to solve the fault diagnosis problem of diesel engine, Elman neural network (ENN) was applied to build a fault diagnosis model of diesel engine. The training algorithm is in introduced and at the same time, the process of diesel engine fault diagnosis is also expatiated. The diagnosis results indicate the reliability. So a contingent fault of diesel engine can be identified effectively.

The low cycle fatigue behavior was experimentally studied with the 3-dimension notched LD8 aluminum alloy specimens at 300°C. The 3- dimension stress-strain responses of specimens were calculated by means of the program ADINA. The multiaxial fatigue life prediction was carried out according to von Mises’s equivalent theory. The results from the prediction showed that the equivalent strain range can be served as the valid mechanics for predicting multiaxial high temperature and low cyclic fatigue life.

In this paper, the tests of the thermo-mechanical fatigue of the material, cut from a coke tower were performed. The tower made of 20G has been in service for 20 years. Then, we calculated the temperature and stress-strain. The results showed that the tower can be in service for another four years．

The in-phase and out-of-phase thermal fatigue of aluminum alloy were experimentally studied. The fatigue life was evaluated analytically by using the elastic-plastic fracture mechanics method (mainly J integral). The results of experiments and calculations showed that the life of out-of-phase fatigue was longer than that of in-phase fatigue within the same strain range. This is the same as the results of other materials such as medium and low carbon steel. On the other hand, the predicted life was consistent with experimental results. This suggests that J integral as a mechanics parameter for characterizing the thermal fatigue strength of aluminum alloy and the calculation method developed here is efficient. A parameter ΔW was proposed from energy aspect to characterize the capacity of crack propagation. The in-phase thermal fatigue life was the same as the out-of-phase thermal fatigue life for identical ΔW values.

This paper addresses on quality improvement of expanded food. The five stages of six sigma implementation process are applied to define the problem and set a target for improvement. Then possible causes to the quality problems in expanded food are investigated, and the capabilities of the measuring system are evaluated and improved. Based on the results, the experiment scheme is conducted to find and optimize the key factors. Improvement result shows that sigma level of production process increased to 4.6, which is beyond the expectation and can save the cost.

The high temperature & low cycle fatigue were experimentally studied with the 3-dimension notched 2.25Cr—1Mo steel specimens. The 3-dimension stress-strain responses of specimens were calculated by means of the program ADINA. The prediction method of 3-dimension fatigue life was discussed according to the theory of high temperature strength. The results of experiments and calculations showed that the equivalent strain range can be served as the valid mechanics for predicting fatigue life.

A field study was conducted in a fish market and a processing factory in Iceland to evaluate how traceability is secured at fish product distribution. The main characteristics of ‘One-up-one-down’ traceability and the distribution system to assure traceability and the quality of fish products in Iceland are summarized. In addition, the “one-up-one-down” traceability system of fish product distribution in China is explained and suggestions made on how it may be improved. The suggestions consist of general regulation and methods to implement traceability of fish distribution. Recommendations of general regulation contain batch, batch-code, recorded information and recalling. The methods comprise product labeling, recorded information in companies and evidence for tracing the product.

It is one of the important measures for safe operation of the fast reactor to use technology of acoustic leak detection to detect water/steam leak of the fast reactor steam generator. Based on experimental data about sodium loop experiment completed by the Liquid Metal Laboratory of Tsinghua University, this paper makes an analytical study on how to introduce maximum modulus theory of wavelet transform into leak detection. Result shows that at high temperature (350 /spl deg/C), maximum modulus characteristics of signal can be used to make correct judgment on occurrence of leak occurred. In case of small leak at low temperature (250 /spl deg/C), maximum modulus characteristics of wavelet transform of the signal are not obvious, but it will become visible gradually with increase of leak rate.