Chen Xindu

Study of deposition characteristics of multi-nozzle near-field electrospinning in electric field crossover interference conditions

Nanostructured components have been receiving considerable attention in recent years. One advantage is the use of near-field electrospinning (NFES) in microdevice manufacture. Multi-nozzle NFES is offered as a technique to increase the high-precision production rate of components. The deposition characteristics of the multi-nozzles were observed and analyzed based on the mutual influence of the jets under varied conditions. It was discovered that the mutual distance of deposition becomes larger with increases in working distance and nozzle spacing, but the influence of voltage is not particularly apparent. This paper discusses the results and conclusions of the experimental investigation and theoretical derivation.

The Prediction of Mould Project Duration Based on Recursive Network

The critical path method (CPM) is often used to make the project plan and predict the project duration in mould manufacturing projects. For generating manageable networks, the CPM networks assume that networks are directed without loops. So in CPM, recursive works are ignored. But in actual mould manufacturing, reworking of tasks are frequent and inevitable, and then they will result in project delaying. So the planned project duration is often less then the actual one. The paper added the loops in the CPM network, and created the prediction model of the duration based on reworking using the Markov chains and solved the probabilities of the mould project duration.

Stochastic scheduling algorithm for multiple mould and die manufacturing projects and its simulation

Through the analysis of uncertainties of the durations, costs and rewards as well as the characteristic of frequent repairing in the mould and die manufacturing project, this paper proposed a stochastic evolution model of multiple mould and die manufacturing projects, which was on the basis of a discrete time Markov chain. With the aim to overcome the ‘curse of dimensionality’, an algorithm framework combining parallel simulation of heuristic policies with MATLAB Distributed Computing Server and Q-Learning was put forward to solve the above stochastic dynamic programming model. Finally, such an algorithm framework was explained with a sample example. The results show that the model is applicable and the algorithm is reliable and effective as well.