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In this paper, a flexure hinge micro-displacement magnifying mechanism was designed, which was based on the principles of triangle amplification, and the amplifier was driven by piezoelectric stack. The displacement of piezoelectric stack was amplified by the flexure hinges micro-displacement magnifying mechanism. In order to test the static and dynamic carried on it. Not only the characteristics of good linearity, magnification, high positioning resolution and high frequency response achieved but also the design theory approved its correctness in the experiment.

Feedforward PID control of the current loop and speed loop based on the three closed loop PID servo control system was introduced here to improve the intermittent rotary positioning performance of the pick-and-place system. Feedforward PID control [1] is better than traditional PID control on command signal tracking under high-speed positioning control, which has been proved by Simulink simulation.

The influence of chemical composition, hardness and microstructure on resistance to abrasive wear of four kinds surfacing materials was studied. According to the results, coarse and massive carbides are not benefit for abrasion resistance, by decreasing continuity of matrix. Tiny and fine dispersed carbides combined with high toughness matrix, despite the relatively low hardness, ensure excellent abrasion resistance. Besides, material with single phase of martensite shows low hardness and low abrasion resistance.

During experimentation, traditional Taguchi analysis often uses L18 or L27 orthogonal array, with a considerable number of test sequences for Run 18 or Run 27. Both are time-consuming and expensive. A progressive Taguchi-neural network model is proposed in this study, which combines the Taguchi method with a neural network construction, and can construct a prediction model for surface roughness in ultrasonic-assisted turning. According to the results, the Stage-1 initial-network, due to its limited number of network training examples, generates good predictive ability results for regions near Taguchi factor level points. For learning and training examples from regions farther out, prediction results are increasingly unreliable. Comparably, the Stage-3 precision-network generates the more reliable predictions for global regions.

Material is physical basis and carrier of design, which is a very important part of product design. On the one hand, designers can make innovations on traditional shape through using new materials; on the other hand they can make it from new materials and techniques for reference. The author put forward a subject of “designing for sitting” in teaching, asked the students to think from the perspective of material and finish the prototype, good effect has been obtained through this training. The pictures used in this paper were schoolwork of partial students who major in art design of North China Electric Power University, thanks for their passion and creativity.

Silicone rubber mold is one of soft mold processes for rapid tooling. Based on a master pattern, it can be used for casting the materials of wax, plastic, and low-melting metals directly during a short developing time, very suitable for sample fabrications. This paper conducts vacuum casting experiments by Taguchi’s method to derive the optimal parameter selections on ABS plastic vacuum casting using a silicone rubber mold. The factor that affects pouring characteristics maximally is the mold vacuuming time.