Roller is an important metallurgy tool in the rolling mill. And the surface of a roller affects the quantity of the rolling
product directly. After using a period of time, roller must be repaired or replaced. Examining the profile of a working
roller between the intervals of rolling is called online detecting for roller wear. The study of online detecting roller wear
is very important for selecting the grinding time in reason, reducing the exchanging times of rollers, improving the
quality of the product and realizing online grinding rollers. By applying the laser-linear array CCD detective technology,
a method for online non-touch detecting roller wear was brought forward. The principle, composition and the operation
process of the linear array CCD detecting system were expatiated. And an error compensation algorithm is exactly
calculated to offset the shift of the roller axis in this measurement system. So the stability and the accuracy were
improved remarkably. The experiment proves that the accuracy of the detecting system reaches to the demand of
practical production process. It can provide a new method of high speed and high accuracy online detecting for roller
Roller plays an important role in rolling mill. However, the effective surface of roller is limited. After long time working, the surface of roller will wear. The roller wear will result in difficult controlling of shape and thickness of steel board. Further more, it can lead to the decline of product quality. So the measurement of roller wear is very urgent for rolling mill to ensure their product quality. In this paper, a measurement method for roller wear is introduced in detail. This method offers advantages of sensitivity, immediate response, electromagnetic interference, simplicity and non-contact. It can detect in the atrocious condition on-line and examine roller wear precisely and real time. It is an effective method at low cost instance. The basic principle of this system is optical reflection principle. In the paper, after explaining the principle of this measurement system, an error compensation algorithm is exactly calculated to improve accuracy of this measurement system. This algorithm is brought out to offset the shift of measurement track. And a simulation-software program is compiled with Microsoft Visual Basic 6.0 based on this principle. By using this simulation-software, the date of I/O signal for this system is gained. And the signal verse is automatically drawn in this software.
By studying on the output characteristics of random type optical fiber sensor and semicircular type optical fiber sensor, the ratio of the two output signals was used as the output signal of the whole system. Then the measurement range was enlarged, the linearity was improved, and the errors of reflective and absorbent changing of target surface are automatically compensated. Meantime, an optical fiber sensor model of correcting static error based on BP artificial neural network(ANN) is set up. So the intrinsic errors such as effects of fluctuations in the light, circuit excursion, the intensity losses in the fiber lines and the additional losses in the receiving fiber caused by bends are eliminated. By discussing in theory and experiment, the error of nonlinear is 2.9%, the measuring range reaches to 5-6mm and the relative accuracy is 2%.And this sensor has such characteristics as no electromagnetic interference, simple construction, high sensitivity, good accuracy and stability. Also the multi-point sensor system can be used to on-line and non-touch monitor in working locales.