A planar capacitive sensor(PCS) capable of 2D large-scale measurement is presented in this paper.Displacement interpretation depends on independently measuring the periodic variation in capacitance caused by the chang...A planar capacitive sensor(PCS) capable of 2D large-scale measurement is presented in this paper.Displacement interpretation depends on independently measuring the periodic variation in capacitance caused by the change in the overlapping area of sensing electrodes on a moving plate and a fixed plate.By accumulating the number of quarters in each direction and the specific position in the final quarter,the large-scale measurement is fulfilled.Displacements in Xand Y-direction can be measured independently and simultaneously.Simulation shows that a shorter gap distance and a longer electrode guarantee better sensitivity.Experiments based on a PCS test bench demonstrate that the PCS has a sensitivity of 0.198 mV/μm and a resolution of 0.308 μm.An electric fringe effect and other possible measurement errors on displacement interpretation accuracy are discussed.The study confirms the high potential of PCSs as innovative 2D long-range displacement sensors.展开更多
For our research, a new hybrid experimental-computational method is presented. We applied a least squares fitting method （LSFM） to reconstruct the wood moisture content （WMC） from the data measured with a planar c...For our research, a new hybrid experimental-computational method is presented. We applied a least squares fitting method （LSFM） to reconstruct the wood moisture content （WMC） from the data measured with a planar capacitance sensor. A boundary element method （BEM） was used to compute the relationship between capacitance and the dielectric constant. A functional relationship between MC and the dielectric constant was identified by LSFM. The agreement of this final computation result with the experimental data indicates that this method can be used to estimate the WMC quickly and effectively with engineering analysis. Compared with popular statistical methods, a large number of experiments are avoided, some costs of testing are reduced and the efficiency of testing is enhanced.展开更多
基金Project supported by the National Natural Science Foundation of China (No. 51275465)the National Basic Research Program (973) of China (No. 2011CB013300)the Scientific Research Foundation for the Returned Overseas Chinese Scholars,Ministry of Education,China (No. [2011]1568)
文摘A planar capacitive sensor(PCS) capable of 2D large-scale measurement is presented in this paper.Displacement interpretation depends on independently measuring the periodic variation in capacitance caused by the change in the overlapping area of sensing electrodes on a moving plate and a fixed plate.By accumulating the number of quarters in each direction and the specific position in the final quarter,the large-scale measurement is fulfilled.Displacements in Xand Y-direction can be measured independently and simultaneously.Simulation shows that a shorter gap distance and a longer electrode guarantee better sensitivity.Experiments based on a PCS test bench demonstrate that the PCS has a sensitivity of 0.198 mV/μm and a resolution of 0.308 μm.An electric fringe effect and other possible measurement errors on displacement interpretation accuracy are discussed.The study confirms the high potential of PCSs as innovative 2D long-range displacement sensors.
基金supported by the Central University Basic Research Professional Expenses Special Foundation of Harbin Engineering University (Grant No. HEUCFL10101109)
文摘For our research, a new hybrid experimental-computational method is presented. We applied a least squares fitting method （LSFM） to reconstruct the wood moisture content （WMC） from the data measured with a planar capacitance sensor. A boundary element method （BEM） was used to compute the relationship between capacitance and the dielectric constant. A functional relationship between MC and the dielectric constant was identified by LSFM. The agreement of this final computation result with the experimental data indicates that this method can be used to estimate the WMC quickly and effectively with engineering analysis. Compared with popular statistical methods, a large number of experiments are avoided, some costs of testing are reduced and the efficiency of testing is enhanced.
