Centre De Recherche Industrielle Du Quebec

Feng Ding

Richard Gagnon

Claude Lejeune

Philippe Gagne

Pierre Bedard

Michel R Bouchard

Jean-Pierre Couturier

Philippe Gagné

Fadi Ibrahim

Ilich Lama

Mokhtar Benaoudia

Bernard Doyon

Robert Lanouette

Kyarash Shahriari

A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.

Method and system for detecting the quality of debarking at the surface of a wooden log

A system and method for optimizing a process for refining lignocellulosic granular matter such as wood chips use a predictive model including a simulation model based on relations involving a plurality of matter properties characterizing the matter such as moisture content, density, light reflection or granular matter size, refining process operating parameters such as transfer screw speed, dilution flow, hydraulic pressure, plate gaps, or retention delays, at least one output controlled to a target such as primary motor load or pulp freeness, and at least one uncontrolled output such as specific energy consumption, energy split, long fibers, fines and shives. An adaptor is fed with measured values of matter properties and measured values of controlled and uncontrolled outputs, to adapt the simulation model accordingly. An optimizer generates a value of the target according to a predetermined condition on a predicted uncontrolled output parameter and to one or more process constraints.

System and method for optimizing lignocellulosic granular matter refining

A method and apparatus for measuring size distribution of bulk matter consisted of randomly orientated granules, such as wood chips, make use of scanning the exposed surface of the granular matter to generate three-dimensional profile image data defined with respect to a three-coordinate reference system, The image data is segmented to reveal regions associated with distinct granules, and values of the size-related parameter for the revealed regions are estimated. Then, a geometric correction to each ones of estimated size-related parameter values is applied, to compensate for the random orientation of corresponding distinct granules. Finally, the size distribution of bulk matter is statistically estimated from the corrected size-related parameter values.

Apparatus and method for measuring size distribution of granular matter

A method and system for stabilizing dry-based density of wood chips from several sources feeding a chip processing stage upstream of a chip refining process, perform on-line estimation of a set of wood chip properties characterizing the wood chips, including light reflection-related property, moisture content and dry-based density, which are used by a reference model capable of comparing the estimated dry-based density with a predetermined target to produce error data, and selectively modifying discharge rate set points of one or more of the wood chip sources to minimize the error data within fluctuation limits around the target. The discharge rate of the wood chip sources is controlled in accordance with the set points to substantially stabilize the dry-based density of the wood chips.

Method and system for stabilizing dry-based density of wood chips to be fed to a chip refining process

A method for estimating surface moisture content of wood chips for use in a pulp and paper production process comprises measuring chip surface moisture using an infrared surface moisture sensor, and adjusting a calibration of the surface moisture measured with a model using values of a set of optical parameters representing light reflection characteristics of the wood chips, to estimate their surface moisture content.

Method for estimating surface moisture content of wood chips

Method and apparatus for estimating surface moisture content of wood chips employing a surface moisture measurement obtained from a non-contact surface moisture sensor, which measurement is calibrated with values of a set of optical parameters, such as HSL color camera signals, representing light reflection characteristics of the wood chips in order to estimate the surface moisture content thereof.

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Québec, Canada

Feng Ding