Papermaking Process Online Measurement and Control of Paper Ash Content

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Sensors & Transducers 204 by IFSA Publishing, S. L. http://www.sensorsportal.com Papermaking Process Online Measurement and Control of Paper Ash Content, 2 Zhongjun XIAO School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, 250353, China 2 Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education of China, Qilu University of Technology, Jinan, 250353, China Tel.: 86-053896352, fax: 86-053896352 E-mail: jinanxiaoxiao202@63.com Received: 23 April 204 /Accepted: 30 June 204 /Published: 3 July 204 Abstract: Ash content of paper sheet is an important performance index in paper-making process. X-ray ash sensor based on the Fe-55 radiation principle can detect paper sheet ash content accurately. Here considering the influence of paper absolute dry fiber weight and moisture content, real online ash signal can be achieved by algorithm developing, data processing and signal compensation, and this signal is taken as feedback value to verify the ash content reference so that ash error is obtained to execute to controller which can regulate the valve opening of ash emulsion additive. Engineering project shows that the ash measurement and control system can make ash content be well maintained uniformly. Copyright 204 IFSA Publishing, S. L. Keywords: Paper-making process, X-ray ash sensor, Ash content, Absolute dry fiber weight, Online control.. Introduction In recent years, paper-making enterprises pay more and more attention to the improvement of paper sheet ash content [, 2]. Once ash content is moderately increased, pulp fiber dosage will correspondingly be reduced, and paper production costs are also reduced as well. But the ash can not blindly increase, great increase will affect to the paper thickness, internal bond strength, folding endurance, opacity, smoothness, gloss, piebald, nap, printing ink absorbency and other major performances [3, 4]. Therefore, without reducing the quality of the paper sheet, realizing online detection and regulation of paper fillers or additives and coating pigment inputs in a proper range can effectively improve the quality of paper sheet. 2. Sensor Electronics The adopted ash sensor structure diagram is as shown in Fig., which mainly comprises a radiation source, a light detector, a signal amplifying and processing circuit. Radiation source usually applies element Fe-55 which can arise X-ray under the electric power supply. Then the light detector can receive the attenuated X-ray transmitted through paper sheet and slightest current can be produced. And this current would be amplified by signal amplifying and processing circuit so as to give the voltage signal to the sequential processing device such as voltage frequency converter. During the sensor working, the paper-making process is continuous and the paper sheet across the sensor air gap is keeping moving in the machine direction. http://www.sensorsportal.com/html/digest/p_2204.htm 229

By the way paper sheet ash content can be measured continuously. airflows, one is cold airflow and the other is hot airflow. Cold air is fed to a cooling coil and heat exchanger inside each sensing head, and from there to an external outlet fitting. This cold air outlet is available for other sensors that may need cooling. From these other sensors the spent cooling air is looped back through the return fitting to the air curtain, where it is combined with the hot air from the vortex cooler. A removable plug on the air manifold connected to the hot end of the vortex cooler provides access to the cooler adjustment screw at the end of the cooler. The vortex cooler is adjusted to maximum power by turning the adjustment screw until the hot end of the device is as hot as possible. Fig.. Schematic diagram of ash sensor structure. 2.. Detector and Amplifier X-ray radiation intensity penetrating through the paper sheet is measured by four silicon detectors. Two special windows are applied to protect the detectors. Here the detectors are connected to a preamplifier with an adjustor providing offset function. This offset is factory adjusted to approximately mv. The offset adjustor is used to control the closed sensor output signal. The signal from input amplifier is then passed through a gain unit that is used to adjust the output signal with the open shutter. The gain adjustor is highly linear and has basically no influence on sensor calibration. After the gain loop, the signal is filtered with a low-pass filter to eliminate disturbance and harmonics, and then is connected to the input of a VFC electronic circuit. The output signal from VFC is a two-wire balanced line driver output connected to the outer sensor connector pins D and E. Ordinarily the open sensor output frequency value is initially adjusted to 75 khz ±20 khz, but a large wide range of frequencies is acceptable, as long as the frequency does not exceed 250 khz. 2.2. Temperature Control The sensor temperature control board can keep the area around the window inside the ash sensor at a moderate constant temperature, and at the same time it heats the sheet guide so as to prevent condensation. This regular control board is used in both the upper and the lower detecting head. The window area temperature control device usually employs a type PT-00 temperature transducer to measure the temperature. 2.3. Cooling System and Purge Air The sensor cooling system utilizes a vortex cooler inside each sensing head. Vortex cooler produces two 3. Online Ash Content Measurement Ash detection apparatus is mounted on scanning frame, thus ash detection process is basically the same to basis weight and moisture content sensing. When the scanning frame is moving and detecting the ash content of the paper web cross-directionally, the detected signals are a sequence of sampled data. During machine-direction of the paper sheet movement, the scanning sensor collects data to form a Z-shape scanning data zone as shown in Fig. 2. α Fig. 2. Scanning trajectory of scanner. Ordinarily we take the paper average ash value as a feedback correction value. The signal is detected and expressed as the following formula: = N Ash Ashi, () N i= Compared the feedback correction value to the paper sheet ash reference value we can get deviation error, then the ash error acts on the signal regulator, and thus ash content can hold the uniformity in the machine direction. During the process, the measured ash content passes by VFC and then be converted into frequency signal. Signal accuracy directly determines the ash control precision. Here we take company Impact ash sensor type 4405 as the research object to analyze its signal measurement, conversion and processing. 230

3.. Measuring Principle The sensor is based on the Fe-55 radiation from the radiation source X-ray into the paper absorption intensity changes to measure ash. Fe-55 decays half cycle for 2.6 years, working life is recommended for 5 years. X ray (5.9 kev) from Fe-55 radiation is very easily absorbed by ash element, while the absorption capacity of fiber and water in the hydrogen, oxygen and carbon is quite weak. Then we can use the characteristics and take account of this effect to compensation in the measurement. According to X ray on paper sheet, absorption degree of different elements is different, we can obtain the corresponding transmission curve, as shown in Fig. 3. AW 0 = A ln( I / I) B BW [ + C (% moisture )], (3) 0 AW = slope AW 0 + offset, (4) % Ash = 00 AW / DW, (5) where AW is the ash weight, BW is the basis weight, DW is the absolute dry weight, slope and offset are calibration slope and bias value. A, B, C three parameters are provided by Impact company. 3.3. Ash Calibration To compensate for ash sensor to measure the error of measurement, we can take the measurement of reference and sensor measurement data to fitting, as shown in Fig. 4. Fig. 3. The various components absorption of the X ray transmission curve. 3.2. Measurement Algorithm According to monochromatic X ray absorption characteristics, using Beer principle we can be obtained: ( 0 FW WW 2 AW ) I = I0 e μ μ μ, (2) where I is the sensor signal through the sheet, I 0 is the air gap sensor signal, FW is fiber weight; WW is the moisture content, AW is the ash content, μ 0 is the fiber absorption coefficient, μ is the moisture absorption coefficient, μ 2 is the ash absorption coefficient. When determining the ash absorption coefficient, we can obtain the ash content from the ash components. If ash is composed of 25 % calcium carbonate and 75 % clay composition, then the ash absorption coefficient can be calculated by the corresponding equation, that is μ 2 = 0.0099. As a result of basis weight is the sum of fiber weight, moisture and ash weight, and fiber weight can be expressed as basis weight minus moisture and ash weight, then the calculation algorithm for ash is: Fig. 4. Signal slope modification and offset compensation. From the curve fitting, we can obtain the slope and offset correction parameters. The new correction data can make decision to the new ash signal. Such that: K = K0 Kr, (6) x = ( x K ) + x, (7) offset offset 0 r offset r which K 0 is the slope before correction, slope after correction, offset 0 K r is the x is the bias before correction, xoffset r is the bias after correction. 4. Paper Ash Content Control System Because in the ash control system, the filler is mainly CaCO 3 and clay [5, 6], which is add to the headbox stock solution, mainly in the form of granular emulsion mixing in the pulp, as long as the 23

pulp in headbox is fully homogenized, the filler concentration on the headbox cross-directional distribution is uniform, so there is no need for ash cross-directional control. While in the machine direction, due to many influence factors in filler process, such as slurry concentration and flow fluctuation, return water flow fluctuation, filler volume fluctuations, they will cause ash inconsistent, so ash machine directional control is necessary. Paper ash control process is as shown in Fig. 5, the filler emulsion is added to a thick paste of white water and the hybrid channel, then through the flushing pump to the pressure screen and high tank, and then through the headbox to the forming net. By adjusting the filler emulsion flow control valve opening, we can realize the tracking control of paper ash [7]. Fig. 5. Control process of ash control system. Through process analysis, from the filler emulsion regulating valve to the scanning frame ash signal detection, there are large time delay, so the sampling PI control has some limitations [8], so we can adopt a single variable DMC control algorithm [9, 0], the ash control can be processed as a single input single output system, controlled variable is ash, control variable is adjusting valve, by a first order plus time delay transfer function model, analysis shows that DMC algorithm based on ash control than sampling PI control has better dynamic and static performance. 5. Paper Ash Content Measurement and Control Application A paper mill in Shandong china 3600/360 paper machine production line is taken as the research object, control index for basis weight 60 g/m 2, moisture content 5%, ash content 8%, ash content is achieved by filler emulsion CaCO3 flow control. Based on the paper machine process and control mechanism are analyzed, according to factory technical requirements, the IPC configuration software, design of DCS integrated quality control system in papermaking process [], which the Fig. 6 is for the paper machine flow of configuration model [2]. The paper machine O-type scanning frame, equipped with basis weight moisture and ash scanner, can achieve control index for on-line measurement, and the master computer monitoring software is embedded with advanced control algorithms software package, which can track basis weight, moisture and ash signal online, with the mature digital PID algorithm and DMC algorithm, the corresponding online optimization control adjustment can be well performed. To ash control, according to the detection and compensation principle we can obtain accurate ash signal, by regulating the flow controller to realize automatic tracking. Fig. 7 shows the ash monitor screen interception of the two hour chart, it can be seen that the ash error is less than %, so the ash on-line detection than traditional burning method for offline to obtain ash content more intuitive and more convenient, convenient ash on line adjustment. 6. Conclusions In high accuracy control of paper ash content, ash content detection is the key. Based on the measurement of ash, algorithm analysis, correction and feedback control, we can realize the ash timely and accurately tracking and automatic control, greatly improve the papermaker's work efficiency, and according to the requirements to get appropriate paper quality. Acknowledgements This work is supported by Key Laboratory of Pulp and Paper Science & Technology of Ministry of Education of China, Qilu University of Technology under project Grant 0803347 of Paper Basis Weight Moisture Content Ash Content correlation control strategy. 232

Fig. 6. Paper machine flow configuration. Fig. 7. Ash monitor real-time curve. 233

References []. Li Qin, Paper industry development policy of technology and equipment of paper, China Pulp & Paper Industry, Vol. 23, 2008, pp. 6-9. [2]. Wang Mengxiao, Sun Yu & Tang Wei, Pulp and paper process measurement and control system and engineering, Chemical Industry Press, Beijing, 2003, pp.25-3. [3]. Hou Qingxi, Wang Jinzhang, Hong Jie, China papermaking science and technology trends and Countermeasure, China Pulp and Paper, Vol. 30, No. 2, 20, pp. 60-66. [4]. Li Yuanyuan, Several physical properties of filler and its application in paper making process, Transactions of China Pulp and Paper, Vol. 26, No. 2, 20, pp. 29-32. [5]. Han Hongsheng, Quality control of coating base paper, China Pulp and Paper, Vol. 27, No. 8, 2008, pp. 48-5. [6]. Tong Tong, Quality control system in cigarette paper machine, China Pulp and Paper, 20, Vol. 30, No. 2, pp. 67-70. [7]. Xiao Zhongjun, The papermaking process intelligent control strategy, PhD Thesis, Shaanxi University of Science and Technology, 20, pp.98-02. [8]. K. E. Kwok, M. C. Ping, P. Li, A model-based augmented PID algorithm, Journal of Process Control, No. 0, 2000, pp. 9-8. [9]. T. Shen, J. Zhu, Robust stability analysis for dynamic matrix control, Acta Automatica Sinica, Vol. 29, Issue 6, 2003, pp. 023-026. [0]. C. R. Culter, B. L. Ramaker, Dynamic matrix control computer control algorithm, JACC, San Francisco, 980, pp.36-50. []. Xiao Zhongjun, Application of computer integrated process system in the pulp and paper industry, Applied Mechanics and Materials, Vol. 44-47, 20, pp. 237-24. [2]. E. M. Heaven, et al, Application of system identification to paper machine model development and simulation, Pulp Paper Canada, Vol. 9, Issue 4, 996, pp. 49-54. 204 Copyright, International Frequency Sensor Association (IFSA) Publishing, S. L. All rights reserved. (http://www.sensorsportal.com) 234