The application of error separation techniques to double flank gear testing is investigated theoretically and
experimentally. The mathematic model for error separation is established with the theory of Fourier series. The limitation
of two-gear error separation method based on multi-step error separation technique is indicated. It can only separate the
total radial composite error, but do nothing with the tooth-to-tooth radial composite error. The accuracy of a three-gear
error separation method is also explored. In comparison with the two-gear error separation method, the three-gear
method can separate both the total and tooth-to-tooth errors. The theoretical error caused by gear's particular structure is
discussed. Experimental results show that the mathematic model is correct and the three-gear error separation method
performs better than the two-gear's.
An on-line calender thickness measurement system based on linear CCD is proposed. In this system, an optical
projection method based on collimated light and CCD is used to realize the thickness measurement for sheet product. To
test the accurate position of the edge of the sheet projection, a quadratic differentiating circuit and an accurate pulse
width measurement method based on programmable counter array are used to deal with the CCD signals, which make
the resolution up to 0.5μm for a linear CCD with 14 μm image sensing element size. Based on microcontroller, the
integrated CCD sensor module and 2-D coordinate data acquisition module are developed to record the values of
thickness and position coordinates. A distributed automatic data acquisition and control system is established by using
the USB and RS485 serial bus to connect the host computer and measuring modules. In addition, to eliminate the factors
that influence the on-line measurement accuracy, such as the roundness tolerance of roller, the irregularities of guide rail,
an error compensation method based on multilayer feedforward neural network is used. The in situ experiments show
that the on-line measurement standard deviation is 10μm within the measuring range of 10 mm.
KEYWORDS: Calibration, Distance measurement, Neural networks, Sensors, Head, Electrodes, Signal processing, 3D metrology, Measurement devices, Chemical elements
A 3-D nonlinear calibration technique for Position sensitive detector (PSD) in long distance laser collimating
measurement is proposed. An automatic calibration system was developed to measure the nonlinearity of a 2-D PSD in
3-D space. It is mainly composed of a high accurate 2-D motorized translational stage, a high precision distance
measuring device, and a computer-based data acquisition and control system. With the aid of the calibration system, the
nonlinear characteristic of 2-D PSD is checked in a long collimating distance up to 78 meters. The calibration
experiment was carried out for a series of distance, e.g. every 15 meters. The results showed that the nonlinearity of 2-D
PSD is different evidently when the PSD element is at different distance from the laser head. One calculating method is
defined to evaluate the nonlinear errors. The spatial 3-D mapping relationship between the actual displacements of the
incident light and the coordinates of 2-D PSD outputs is established using a multilayer feedforward neural network.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.