Direct-Write (DW) technology based on Near-Field Electrospinning (NFES) was introduced to fabricate suspended micro/nano-structure on pattern substrate, and the deposition behaviors of DWed structure under different collector motion speed (CMS) were discussed to improve control of DW technology based on NFES. Deposit point of DWed structure on the substrate can be controlled accurately under the observation of microscope, and position error of micro/nano-structure is less than 5µm. When CMS is compatible with the electrospinning speed, straight line micro/nano-structure can be direct-written across micro-trenches with width of 5~40µm or to bridge two micro-pillars with diameter of 10µm. Due to the water evaporation and surface tension force, DWed structures suspended in the air would shrink smaller compared with that deposited on the top surface of pattern. The shrink ratio of micro-structure is higher than nano-structure and the shrink ratio decreases with the solution concentration increases. When the CMS is lower than electrospinning speed, the electrostatic force and elastic force would play a more prominent role on the deposition behavior of DWed structure. The electrical field strength on the top surface of pattern is higher than the space between two patterns, DWed thin film would deposit along the trip pattern and nanofiber would prefer to aggregate on the top surface of pattern under electrostatic force. When solution concentration is lower than 18%, nanofiber aggregate on the pattern would coagulate to form polymer bundle.

To solve the problem of space flexible manipulator to track the desired trajectory, the robust control is proposed using a NN function to approach the comprehensive modeling errors. The adaptive feedback control for vibration suppression is designed of the system with unknown parameters. The adaptive laws are obtained by Lyapunov method without any prior knowledge about the bounds of unknown parameters. Finally, the numerical simulation is carried out, which proves the controller proposed is feasible and effective.

Multi-jet ejection is the key factor to promote the industrial application of electrospinning technology. Simulation model based on Maxwell theory was built up to investigate the ejection and motion behaviors of multi charged jets. The charge Coulomb repulsive force among adjacent jet was introduced into the simulation model, which enhanced the instability motion and promoted the stretching process of charged jets. The stretching ratio of charged jet increased with the increasing of injection distance, applied voltage, distance between spinneret and collector. But stretching ratio of charged jet decreased with the increasing of distance between charged jets. Stretching ratio in multi-jet electrospinning was larger than that in single-jet electrospinning. The maximal stretching ratio of charged jet was larger than 9000 in the nine jets electrospinning mode. This work provided a good method to investigate the controlling technology of multi-jet electrospinning.

Electrohydrodynamic printing of silver ink is demonstrated under an applied pulse voltage. Intermittent cone jets are deposited to form uniform dots with a regular spacing on glass slides while conductive patterns with continual tracks are derived from overlapping dots. After sintering at 250°C for 20 min, the patterns have a lower resistivity of 3.07×10-8Ω•m such that a practical application is available in microelectronic devices.

Real-time lifetime forecasting has extensive application in the fields of machine system manufacturing and integration, which is a good way to promote the dependability and operation stability. In this paper, a closed loop adaptive forecasting model with feedback channel of state monitoring information is built up for the real-time lifetime forecasting. The difference of working state between prediction and monitoring information is used to evaluate the prediction performance. The dynamic fuzzy neural network introduced into the prediction model, in which the fuzzy rule, membrane function and structure parameters can be adjusted according to the evaluate results. A service lifetime testing experiment of gear case is utilized to validate the prediction model. The proposed model achieved reasonable precision with an error of less than 1 hour between the failure time of experimental results and the forecasting remaining lifetime. The adaptive prediction method can deal with the real-time lifetime forecasting for multiple factors and nonlinear system without specific parameters structure.