公开(公告)号：WO2022264065A2

公开(公告)日：2022-12-22

申请号：PCT/IB2022/055553

申请日：2022-06-15

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： MERCHANT, John A. ,  MCCORD, Brianna L. ,  WENNER, Alissa P. ,  DE FILIPPO, Aline Serrao

IPC: B05C11/10 ,  G05D7/00 ,  B05C11/1007 ,  B05C11/1044 ,  G05D7/0623

Abstract: Apparatus, systems (400), and methods for predicting a parameter of dispenser system, dispensing a dispensable material, calibrating a dispenser system are described. Apparatus and systems can use machine learning algorithms based on environmental variables and other factors in a system where the adhesive dispenser (100) is used. Furthermore, apparatus and systems can adjust an operational parameter of the dispenser system based on at least one process parameter. Still further, apparatus and systems can provide one or more settings for one or more dispenser components based on a calibration model. Algorithms (412) can operate on remote or local software and control systems, or as part of an edge computing system or Internet of Things (loT) system.

公开(公告)号：WO2023274625A1

公开(公告)日：2023-01-05

申请号：PCT/EP2022/063722

申请日：2022-05-20

Applicant: SCHEUGENPFLUG GMBH

Inventor： PILLER, Sebastian ,  DOLLINGER, Stefan

IPC: G01F13/00 ,  B01D19/00 ,  B05C11/10 ,  G01F22/00 ,  G01N21/00 ,  B05B12/00 ,  B05B15/25 ,  B05B15/58 ,  B05C11/1007 ,  B05C11/1036 ,  B05C5/02 ,  G01N2021/6432 ,  G01N21/6428

Abstract: Da auszudosierendes, meist pastöses, insbesondere selbstnivellierendes Material vorzugsweise überhaupt kein Gas wie etwa Luft enthalten soll, wird möglichst nahe am Verbrauchsort mittels eines Clark-Sensors (1.2) (ampereometrisches, verbrauchendes Messverfahren) oder eines nichtverbrauchenden optischen Messverfahrens der Gehalt an Mess-Gas –im Fall von Luft z.B. der Gehalt an Sauerstoff –ermittelt und daraus der Gesamtgehalt an Luft im Material (M) errechnet.

公开(公告)号：WO2021168174A1

公开(公告)日：2021-08-26

申请号：PCT/US2021/018664

申请日：2021-02-19

Applicant: NORDSON CORPORATION

Inventor： LEWIS, Alan, R. ,  CROWELL, Cutler, III ,  GORMAN, Michael ,  MORITA, Akira

IPC: G01B11/08 ,  G01N15/02 ,  B05B12/08 ,  B05C5/02 ,  B05B12/082 ,  B05C11/1007 ,  B05C5/0225 ,  G01N15/1459 ,  G01N2015/0026 ,  G06K2209/19 ,  G06K9/6268 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30141 ,  G06T7/0004

Abstract: Systems and methods for improved fluid dispensing process control using a machine learning tool are disclosed. In an example method, successive portions of viscous fluid are dispensed by a dispensing device according to operating parameters to train a machine learning tool to associate defect classifications with images of dispensed portions and/or operating parameters associated with dispensing the dispensed portions. The trained machine learning tool is then used in a closed loop fashion in production to detect and correct for defects associated with the dispensed portions to improve quality and production efficiency.