Papers by Author: Qiang Liu

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Authors: Qiang Liu, Ying Xue Yao, L. Zhou
Abstract: Nano-hardness test device has the ability to make the load-displacement measurement with sub-nanometer indentation depth sensitivity, and the nanohardness of the material can be got from the load-displacement curve by Oliver-Pharr method. In order to measure the small displacement accurately, we designed a capacitive displacement measuring system. This capacitance micrometer has a resolution of 0.1nm, and is suitable for our nano-hardness test device.
518
Authors: L. Zhou, Qiang Liu, Ying Xue Yao
Abstract: A piezoelectric ceramic power supply with self-feedback adjustment was developed according to piezoelectric ceramic driver’s characteristic. It uses multi dc voltages connected in series as the high voltage supply circuit, and has many advantages, such as small ripple, high precision, high driving capability, quick response and so on.
538
Authors: L. Zhou, H.B. Zhang, Qiang Liu
Abstract: In order to meet the demands for high precise micro-displacement testing, a differential capacitive displacement sensor based on RC multi-oscillating circuit was designed. It has two couples of polar plates, and gets the displacement by testing frequency through the multi-oscillating circuit. This capacitive sensor has many advantages such as simple structure and testing circuit, high resolution and good stability.
643
Authors: L. Zhou, H.B. Zhang, Qiang Liu
Abstract: For the measurement of ultra smooth surface topography, a surface image scanning device measurement head mechanism based on the principle of atomic force microscope (AFM) was designed. It uses coarse adjustment, semi-delicate adjustment, delicate adjustment triple-stage adjustment mechanism, and tests the atomic force between the sample and the probe by using laser generator, position sensitive detector (PSD), cantilever and probe. This mechanism has high setting accuracy and resetting accuracy, combined with two-dimension movable table, can scan the surface topography of samples.
828
Authors: L. Zhou, Ying Xue Yao, Qiang Liu
Abstract: Aiming at the influence law of indenter tip radius to indentation hardness, testing on the hardness of single-crystal silicon was carried out based on nanoindentation technique. Two kinds of Berkovich indenter with radius 40nm and 60nm separately were used in this experiment. According to the load-depth curve, the hardness of single-crystal silicon was achieved by Oliver-Pharr method. Experimental results are presented which show that indenter tip radius influence the hardness, the hardness value increases and the indentation size effect becomes obvious with the increasing of tip radius under same indentation depth.
327
Authors: Qiang Liu, Ying Xue Yao, L. Zhou
Abstract: Nanoindentation has become the main method to obtain the micro- characteristic of materials by now. Nanoindentation device has the ability to make the load-displacement measurement with sub-nanometer indentation depth sensitivity, and the nanohardness of the material can be achieved by the load-displacement curve. The article discusses a new convenient nanohardness testing device, and approves its practicability and reliability by taking the indentation experiment on single-crystal aluminum.
533
Authors: Ming Yang Wu, Qing Xin Meng, Guang Yu Tan, Qiang Liu
Abstract: In order to figure out the temperature anywhere and anytime in the milling insert, based on the point heat source, and grounded on the experimental data, we established the mathematics model of heat density function and temperature field for milling insert with 3D complex groove under the irregular heat source, and has proved correctly to its special case with this mathematics model, thus established the theoretical foundation for groove optimizing and reconstruction of milling insert with 3D complex groove.
241
Authors: Ming Yang Wu, Q.X. Meng, Qiang Liu
Abstract: Prediction of temperature field is a key technology to achieve the groove design and reconstruction of milling insert, predictive model of neural network is a new way to achieve the prediction of temperature field. According to the non-steady state characteristic of temperature field of milling insert, the paper puts forward a predictive model of temperature field of milling insert with 3D complex groove based on Levenberg-Marquardt algorithm of BP neural network, and it overcomes the disadvantage that traditional neural network is easy to fall into local minimum. The predictive results show that this predictive model can converge quickly and predict accurately.
374
Authors: Qiang Liu, Ying Xue Yao, L. Zhou
Abstract: Nanoindentation device has the ability to make the load-displacement measurement with sub-nanometer indentation depth sensitivity, and the nanohardness of the material can be achieved by the load-displacement curve. Aiming at the influence law of indenter tip radius to indentation hardness, testing on the hardness of single-crystal silicon were carried out with the new self-designed nanohardness test device based on nanoindentation technique. Two kinds of Berkovich indenter with radius 40nm and 60nm separately were used in this experiment. According to the load-depth curve, the hardness of single-crystal silicon was achieved by Oliver-Pharr method. Experimental results are presented which show that indenter tip radius do influence the hardness, the hardness value increases and the indentation size effect (ISE) becomes obvious with the increasing of tip radius under same indentation depth.
267
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