Honeywell International Inc.

Honeywell G.m.b.h.

Markku Kellomaki

Antti Paavola

John F Shakespeare

Tarja T Shakespeare

Tobias Nebel

Brendon Lyons

Meghan Elizabeth Charochak

A system for in-situ monitoring of particles in a process fluid includes a flow channel having a window for flowing the process fluid therethrough. The window includes an inner surface having a coating thereon that reduces a buildup rate of the particles on the inner surface. A light source is for directing a polarized beam along a first beam path through the window into the process fluid such that an output beam emerges from the process fluid along a second beam path. A polarizing filter positioned in the second beam path is for filtering the output beam. A photodetector is for detecting the output beam after passing the polarizing filter that generates signals that represent images of the particles in the process fluid. A controller coupled to the photodetector is for analyzing the signals to determine at least one parameter related to the particles in the process fluid.

Foul-resistant coating of windows for optical particle sensing

On-line detection of mesophase particles employs a laser diode light source to illuminate a target area with a pulsed laser linearly or circularly polarized probe beam. Analysis of images determines extent of presence the birefringent mesophase particles, which are precursors to coking in catalytic hydrocracking processes. The inherently polarized low-coherence, unfocused but sufficiently collimated, pulsed laser beam yield sharp imaging with high depth of field of very small mesophase particles that are present in a moving, dark reactor liquid environment.

Method for on-line imaging of mesophase particles

A method includes, using at least one processing device, obtaining position measurements and/or tilt angle measurements associated with a tissue web and identifying a stretch measurement associated with the tissue web using the obtained measurements. Identifying the stretch measurement could include using one or more mathematical formulas to calculate the stretch measurement associated with the tissue web using the obtained measurements. The one or more mathematical formulas could be defined using laboratory stretch values of multiple training webs. Different mathematical formulas can be associated with training webs having different characteristics, and the method may further include selecting at least one of the mathematical formulas based on one or more characteristics of the tissue web.

Apparatus and method for stretch measurements of tissue webs

A method includes obtaining measurements associated with one or more controlled variables related to a structure of creped tissue paper during production of the creped tissue paper. The method also includes generating at least one control signal that adjusts one or more manipulated variables associated with the production of the creped tissue paper in order to alter the structure of the creped tissue paper. The one or more controlled variables include a number of folds per unit length of the creped tissue paper, a caliper of the creped tissue paper, a macro crepe of the creped tissue paper, and/or a micro crepe of the creped tissue paper. The manipulated variable(s) could include a crepe percentage, a creping blade angle, a flow of sizing agent, and/or a cross direction (CD) profile of nozzle positions associated with a spray boom that sprays sizing agent onto a Yankee dryer.

Apparatus and method for closed-loop control of creped tissue paper structure

Devices, systems and methods for determining capabilities of an on-line sensor are disclosed. The exemplary method may comprise the following acts. The method may generate an image of a sample texture with known characteristics. The method may transfer the image to an on-line sensor. The method may also analyze data generated by the on-line sensor to determine measured characteristics. The method may compare the measured characteristics to the known characteristics.

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Pohjois-Savo, Finland

Markku Kellomaki