Guoyong Zhao

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— This video presents a fully automated desktop workstation for fabricating tissue engineering (TE) scaffolds by assembling microscopic building blocks of dimension 0.5 × 0.5 × 0.2mm 3 and 60µm thickness. A TE scaffold is a porous supporting structure made of biodegradable material for cells to attach to and proliferate. TE scaffolds fabricated this way(More)
The actual dynamic performance of each feed axis can't match well usually, which will destroy machine tool contour accuracy seriously. The immune self-adjusting contour error coupled control method based on grating ruler sensors is developed to improve machine tool contour accuracy in the paper. Firstly, measure and convert the feed axis actual displacement(More)
Accurate prediction on energy consumption in machining is helpful to evaluate process energy characteristics and choose process methods for energy saving. Specific energy consumption expresses the required energy consumption when cutting unit volume material. The Back Propagation (BP) neural network prediction method for specific energy consumption in(More)
—In practical machining, the multi-axis actual dynamic performances don't match well, which reduces the profile precision greatly. The computer numerical control (CNC) machine tools contour error coupled-control strategy based on line interpolation and curve interpolation is developed in the paper. After analyze the conventional CNC contour error control(More)
In this study, we propose the acceleration/deceleration control algorithm based on trapezoid-curve jerk in CNC machining. In aviation and mould and die industry, it is much significant to achieve high accuracy CNC machining on complex profile parts. The unsmooth Acceleration/Deceleration (ab. Acc/Dec) control in feed movement is one of the main reasons to(More)
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