IP Library › Granted Patent US 12,723,877
Granted Patent B2
US 12,723,877 · App. 18/106,712 · Granted Sep 1, 2026

Tool based welding technique monitoring systems

Inventor: William Joshua Becker (Manitowoc, WI)
G01C21/16B23K31/125
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Quick Facts
Patent No.
US 12,723,877
App. No.
18/106,712
Granted
Sep 1, 2026
Kind
B2
Abstract

Described herein are examples of tool based welding technique monitoring systems that provide an inexpensive, intuitive, and relatively robust way of tracking an orientation of a welding-type tool, and providing welding technique feedback based on the orientation. The system requires no sensors apart from a simple and/or relatively inexpensive sensor module that can travel with the welding-type tool, which makes the system highly portable. The system can also provide some feedback with minimal calibration, which can be valuable in situations where an operator forgets, or is unwilling, to take the time to fully calibrate the system. Additionally, full calibration of the system can be accomplished with a fast, simple, intuitive calibration technique.

Claims (33)

1 . A method of monitoring welding technique, the method comprising:

determining, via processing circuitry, a first joint characteristic vector and a second joint characteristic vector, both the first joint characteristic vector and the second joint characteristic vector based on both (i) a joint orientation of a joint between a first workpiece and a second workpiece, and (ii) first sensor data detected during a first time duration by a sensor system attached to, or integrated with, a welding-type tool;

tracking, in real time during a welding-type operation, via the processing circuitry, a tool orientation of the welding-type tool using second sensor data detected by the sensor system during a second time duration; and

identifying, via the processing circuitry, a welding technique parameter value based on the first or second joint characteristic vector and the tool orientation of the welding-type tool.

2 . The method of claim 1 , wherein the first sensor data comprises data representative of a gravity vector and a tool orientation vector during the first time duration, the first joint characteristic vector being determined based on the joint orientation and the gravity vector, and the second joint characteristic vector being determined based on the joint orientation, the first joint characteristic vector, and the tool orientation vector.

3 . The method of claim 1 , wherein the welding technique parameter value is identified in real time during the welding-type operation.

4 . The method of claim 3 , further comprising identifying the tool orientation vector, via processing circuitry, based on third sensor data detected by the sensor system during a third time duration when the welding-type tool is in a known orientation.

5 . The method of claim 1 , wherein the welding technique parameter value comprises a work angle value or a travel angle value of the welding-type tool.

6 . The method of claim 1 , further comprising providing feedback, via a user interface, based on the welding technique parameter value.

7 . The method of claim 1 , wherein the sensor system comprises an inertial measurement unit comprising an accelerometer, a gyroscope, or a magnetometer, and the sensor data comprises data detected by the inertial measurement unit.

8 . A method of monitoring welding technique, the method comprising:

determining, in real time during a welding-type operation, via processing circuitry, a joint characteristic vector based on both (i) a joint orientation and (ii) sensor data of a sensor system attached to, or integrated with, a welding-type tool;

tracking, in real time during the welding-type operation, via the processing circuitry, a tool orientation of the welding-type tool using the sensor data;

identifying, via the processing circuitry, a welding technique parameter value based on the joint characteristic vector and the tool orientation of the welding-type tool.

9 . The method of claim 8 , wherein the sensor data comprises data representative of a gravity vector, and the joint characteristic vector is determined based on the joint orientation and the gravity vector.

10 . The method of claim 9 , wherein the sensor system comprises an inertial measurement unit comprising an accelerometer, a gyroscope, or a magnetometer, and the sensor data comprises data detected by the inertial measurement unit.

11 . The method of claim 8 , further comprising:

determining, via the processing circuitry, that the joint orientation comprises a horizontal joint orientation; and

in response to determining the joint orientation comprises the horizontal joint orientation, determining, via the processing circuitry, a horizontal joint position, the joint characteristic vector being determined based on the horizontal joint position and the sensor data of the sensor system.

12 . The method of claim 8 , wherein the tool orientation of the welding-type tool comprises a tool orientation vector, the tool orientation vector being defined relative to a sensor reference frame of the sensor system, the sensor data comprising data representative of the tool orientation vector or an orientation of the sensor reference frame.

13 . The method of claim 8 , wherein the welding technique parameter value comprises a work angle value or a travel angle value of the welding-type tool.

14 . The method of claim 8 , further comprising providing feedback, via a user interface, based on the welding technique parameter value.

15 . A welding technique monitoring system, the system comprising:

a sensor system integrated with, or configured for attachment to, a welding-type tool; and

processing circuitry configured to:

determine a joint characteristic vector based on both (i) a joint orientation of a joint between a first workpiece and a second workpiece, and (ii) first sensor data detected by the sensor system during a first time duration;

track, in real time during a welding-type operation, a tool orientation of the welding-type tool using the first sensor data, or second sensor data detected by the sensor system during a second time duration; and

identify a welding technique parameter value based on the joint characteristic vector and the tool orientation of the welding-type tool.

16 . The welding-type tool tracking system of claim 15 , wherein the first sensor data comprises data representative of a gravity vector and the processing circuitry is configured to determine the joint characteristic vector based on the joint orientation and the gravity vector.

17 . The welding-type tool tracking system of claim 15 , wherein the processing circuitry is further configured to: in response to the joint orientation comprising a horizontal joint orientation, identify a horizontal joint position, and determine the joint characteristic vector based on the horizontal joint position and the first sensor data.

18 . The welding-type tool tracking system of claim 15 , wherein the joint characteristic vector comprises a first joint characteristic vector, and the first sensor data comprises data representative of a gravity vector and a tool orientation vector during the first time period, the processing circuitry being configured to determine the first joint characteristic vector based on the joint orientation and the gravity vector, and determine a second joint characteristic vector based on the joint orientation, the first joint characteristic vector, and the tool orientation vector.

19 . The welding-type tool tracking system of claim 18 , wherein the processing circuitry is further configured to identify the tool orientation vector based on third sensor data detected by the sensor system during a third time duration, the welding-type tool being in a known orientation during the third time duration.

20 . The welding-type tool tracking system of claim 15 , wherein the welding technique parameter value is identified in real time during the welding-type operation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 13, 2023
From: BECKER, WILLIAM JOSHUA
To: ILLINOIS TOOL WORKS INC.
Reel/Frame 062670/0306 →
Continuity (2)
Provisional Application 63328311 · Apr 7, 2022
Related Publication 20230324178A1 · Oct 12, 2023
References Cited (60)
US 5318234A · Biggs et al. · 1994 [cited by applicant]
US 6012664A · Duclos et al. · 2000 [cited by applicant]
US 8680434B2 · Stoger et al. · 2014 [cited by applicant]
US 9403234B2 · Christopher et al. · 2016 [cited by applicant]
US 9511443B2 · Pfeifer et al. · 2016 [cited by applicant]
US 9522437B2 · Pfeifer et al. · 2016 [cited by applicant]
US 9922460B2 · Denis · 2018 [cited by applicant]
US 9975196B2 · Zhang et al. · 2018 [cited by applicant]
US 10032388B2 · Sommers et al. · 2018 [cited by applicant]
US 10373517B2 · Becker et al. · 2019 [cited by applicant]
US 10380911B2 · Hsu et al. · 2019 [cited by applicant]
US 10402959B2 · Becker et al. · 2019 [cited by applicant]
US 10512983B2 · Zhang · 2019 [cited by applicant]
US 10596650B2 · Pfeifer · 2020 [cited by applicant]
US 10773330B2 · Zhang et al. · 2020 [cited by applicant]
US 10864593B2 · Lahti et al. · 2020 [cited by applicant]
US 10913125B2 · Meess et al. · 2021 [cited by applicant]
US 11285557B2 · Mehlman et al. · 2022 [cited by applicant]
US 11403962B2 · Schneider · 2022 [cited by applicant]
US 20050251294A1 · Cerwin · 2005 [cited by applicant]
US 20090276930A1 · Becker · 2009 [cited by examiner]
US 20090298024A1 · Batzler · 2009 [cited by examiner]
US 20100062405A1 · Zboray · 2010 [cited by examiner]
US 20110006047A1 · Penrod · 2011 [cited by applicant]
US 20130112677A1 · Christopher et al. · 2013 [cited by applicant]
US 20140313045A1 · Leboff · 2014 [cited by applicant]
US 20150187198A1 · Silverberg · 2015 [cited by applicant]
US 20150235565A1 · Postlethwaite · 2015 [cited by examiner]
US 20160125761A1 · Becker · 2016 [cited by examiner]
US 20160163221A1 · Sommers · 2016 [cited by examiner]
US 20160193679A1 · Zhang et al. · 2016 [cited by applicant]
US 20160214198A1 · Hsu · 2016 [cited by examiner]
US 20170046974A1 · Becker et al. · 2017 [cited by applicant]
US 20170095873A1 · Pfeifer et al. · 2017 [cited by applicant]
US 20170136567A1 · Lahti et al. · 2017 [cited by applicant]
US 20170323584A1 · Daniel · 2017 [cited by examiner]
US 20180126476A1 · Meess et al. · 2018 [cited by applicant]
US 20180308385A1 · Sommers et al. · 2018 [cited by applicant]
US 20200043366A1 · Schneider · 2020 [cited by applicant]
US 20200198042A1 · Imamachi · 2020 [cited by applicant]
US 20200246891A1 · Mehlman et al. · 2020 [cited by applicant]
US 20210027659A1 · Becker · 2021 [cited by applicant]
US 20220258267A1 · Becker · 2022 [cited by applicant]
CN 113857633 · 2021 [cited by applicant]
DE 202004018003 · 2005 [cited by applicant]
EP 3138651 · 2017 [cited by applicant]
WO 2005102230 · 2005 [cited by applicant]
European Patent Office, Search Report, Application No. 23191754.3, dated Feb. 1, 2024, 14 pages. [cited by applicant]
Tedaldi Et al.; A robust and easy to implement method for IMU calibration without external equipments, 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, May 31, 2014, pp. 3042-3049. [cited by applicant]
Wire Wizard Welding Products, Wire Tracker Digital Wire Monitor, retrieved from https://www.wire-wizard.com/product/wire-tracker-wire-monitor/, retrieved on Jul. 18, 2023, 4 pages. [cited by applicant]
European Patent Office, Search Report, Application No. 23176587.6, dated Oct. 19, 2023, 9 pages. [cited by applicant]
Won et al.; A Fastening Tool Tracking System Using an IMU and a Position Sensor with Kalman Filters and a Fuzzy Expert System, IEEE Transactions on Industrial Electronics, vol. 56, No. 5, May 2009. 11 pages. [cited by applicant]
European Patent Office, Search Report, Application No. 23163633.3, dated Sep. 20, 2023, 8 pages. [cited by applicant]
European Patent Office, Search Report, Application No. 23176585.0 dated Oct. 13, 2023, 8 pages. [cited by applicant]
Canada Patent Office, Office Action, Application No. 3,209,465, dated Nov. 18, 2024, 5 pages. [cited by applicant]
Aiteanu, Dorin, Virtual and Augmented Reality Supervisor for a New Welding Helmet, Publication Series of the Institute of Automation, University of Bremen, 2006, 154 pages. [cited by applicant]
IPB-AG, Intelligent welding torch, 12 pages. [cited by applicant]
Zhang et al., Measurement of three-dimensional welding torch orientation for manual arc welding process, IOP Publishing, Measurement of Science and Technology, 25 (2014) 19 pages. [cited by applicant]
Realityworks, guideWELD Live real welding guidance system, https://www.realityworks.com/product/guideweld-live-real-welding-guidance-system/, retrieved on Feb. 7, 2023, 2 pages. [cited by applicant]
European Patent Office, Office Action, Application No. 23163633.3-1103, dated Apr. 14, 2025, 6 pages. [cited by applicant]