WO2001037242A2 - Method for determining a model for a welding simulation and model thereof - Google Patents

Method for determining a model for a welding simulation and model thereof Download PDF

Info

Publication number
WO2001037242A2
WO2001037242A2 PCT/US2000/028124 US0028124W WO0137242A2 WO 2001037242 A2 WO2001037242 A2 WO 2001037242A2 US 0028124 W US0028124 W US 0028124W WO 0137242 A2 WO0137242 A2 WO 0137242A2
Authority
WO
WIPO (PCT)
Prior art keywords
model
welded
determining
set forth
constitutive
Prior art date
Application number
PCT/US2000/028124
Other languages
French (fr)
Other versions
WO2001037242A8 (en
Inventor
Frederick W. Brust
Pingsha Dong
Yi Dong
Ashok Nanjundan
Jinmiao Zhang
Original Assignee
Caterpillar Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Caterpillar Inc. filed Critical Caterpillar Inc.
Priority to EP00968947A priority Critical patent/EP1230633A2/en
Publication of WO2001037242A2 publication Critical patent/WO2001037242A2/en
Publication of WO2001037242A8 publication Critical patent/WO2001037242A8/en

Links

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • G09B19/24Use of tools
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B23/00Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
    • G09B23/06Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for physics
    • G09B23/16Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for physics for science of heat

Abstract

A method for determining a model for a welding simulation, and the associated model. The method includes the steps of determining a history annihilation model (204) of a material being welded (102), determining a strain hardening model (210) of the material being welded (102), determining a three-dimensional virtual elements detection model (208) of the material being welded (102), and incorporating the above models (204, 210, 208) into a constitutive model (202) for the welding simulation.

Description

Description
METHOD FOR DETERMINING A MODEL FOR A WELDING SIMULATION AND MODEL THEREOF
This application claims the benefit of prior provisional patent application Serial No. 60/165,205 filed November 12, 1999.
Technical Field
This invention relates generally to a method for determining a model for a welding simulation and, more particularly, to a method for incorporating models of aspects of the welding simulation into a constitutive model, and a model thereof.
Background Art
During a welding process, residual stresses and distortions are introduced into materials being welded as a result of the high temperatures involved with welding. These stresses and distortions may alter characteristics of the welded material in an adverse manner. For example, the structural integrity of the material may be compromised. It is often desired to have the capability to predict the stresses and distortions associated with the welding process. This information may then be used to modify the welding process to minimize stresses and distortions during subsequent welds. A well known method to predict stresses and distortions is to simulate the welding process in a model . For example, it is common to use finite element analysis to model the welding process, and several commercial software packages are available. However, a significant disadvantage of known welding process model packages is that they cannot adequately model some of the unique phenomena associated with welding. For example, these packages cannot account for history annihilation caused by melting/remelting as different weld passes are deposited. The inability of the known model packages to account for unique welding phenomena results in inaccurate computations. Therefore, it is desired to model the welding process by including unique phenomena, such as history annihilation, phase transformation, strain hardening, and the like. It is also desired to model the welding process in a method that is efficient and saves computational time and power; for example, by determining various models of the phenomena associated with the welding process, and incorporating these models into a constitutive model of the overall process.
In addition, many of the same unique phenomena are introduced during a thermal cutting process, such as cutting by means of oxyfuel, plasma, or laser. The models used for a welding process may also be used for a thermal cutting process.
The present invention is directed to overcoming one or more of the problems as set forth above . Disclosure of the Invention
In one aspect of the present invention a method for determining a model for a welding simulation is disclosed. The method includes the steps of determining a history annihilation model of a material being welded, determining a strain hardening model of the material being welded, determining a three-dimensional virtual elements detection model of the material being welded, and incorporating the above models into a constitutive model for the welding simulation.
In another aspect of the present invention a method for determining a model for a welding simulation is disclosed. The method includes the steps of determining a history annihilation model of a material being welded, determining a phase transformation model of the material being welded, determining a three-dimensional virtual elements detection model of the material being welded, and incorporating the above models into a constitutive model for the welding simulation.
In another aspect of the present invention a method for determining a model for a welding simulation is disclosed. The method includes the steps of determining a history annihilation model of a material being welded, determining a strain hardening model of the material being welded, determining a phase transformation model of the material being welded, determining a large deformation model of the material being welded, determining a three-dimensional virtual elements detection model of the material being welded, and incorporating the above models into a constitutive model for the welding simulation.
In another aspect of the present invention a constitutive model for a welding simulation is disclosed. The model includes a history annihilation model of a material being welded, a strain hardening model of the material being welded, a three- dimensional virtual elements detection model of the material being welded, and means for incorporating the above models into a constitutive model for the welding simulation.
In another aspect of the present invention a constitutive model for a welding simulation is disclosed. The model includes a history annihilation model of a material being welded, a phase transformation model of the material being welded, a three-dimensional virtual elements detection model of the material being welded, and means for incorporating the above models into a constitutive model for the welding simulation. In another aspect of the present invention a constitutive model for a welding simulation is disclosed. The model includes a history annihilation model of a material being welded, a strain hardening model of the material being welded, a phase transformation model of the material being welded, a large deformation model of the material being welded, a three-dimensional virtual elements detection model of the material being welded, and means for incorporating the above models into a constitutive model for the welding simulation.
Brief Description of the Drawings Fig. 1 is a diagrammatic illustration of two pieces of material welded by multiple weld passes; Fig. 2 is a block diagram illustrating a preferred embodiment of a constitutive welding simulation model; Fig. 3 is a flow diagram illustrating a preferred method of the present invention; and Fig. 4 is a flow diagram illustrating a preferred embodiment of the method of Fig. 3.
Best Mode for Carrying Out the Invention
With reference to the drawings, and with particular reference to Figs. 1 and 2, a preferred embodiment of a model 200 of a welding process is disclosed. In Fig. 1, a diagrammatic illustration of two pieces of material 102 being welded by multiple weld passes 104,106,108 is shown. The two pieces of material 102 are shown being welded in a standard butt joint weld, as is well known in the art. However, other types of weld joints, e.g., lap joints, t-fillet joints, and the like, may also be used with reference to the present invention.
It is common to use multiple passes during a weld process to achieve greater strength and structural integrity of the completed weld. For example, Fig. 1 indicates three weld passes 104,106,108. It is not unusual for a weld process to employ many weld passes, for example, 20 passes. However, the use of multiple weld passes introduces stresses and distortions that are difficult to determine and model. For example, the melting and remelting of the materials during subsequent passes introduces characteristics of the material that are difficult to model . In addition, the cyclic heating and cooling of the material creates additional stresses .
Referring to Fig. 2, a model 200 of the weld process is shown, which is based on a constitutive model 202. Constitutive models, e.g., for welding process simulation, are well known in the art and have been used for many years. A constitutive model is a model based on a compilation of physical laws associated with the phenomenon desired to be modeled. A history annihilation model 204 models melting/remelting of the material during the weld process. In addition, annealing of the material during cyclic melting/remelting of the material during multiple weld passes is modeled. As the material melts, the deformation history, i.e., the stresses and deformations, of the material is eliminated, and the material is restored to a virgin state. Therefore, for accurate modeling of the welding process, stresses and distortions must be reset in response to the occurrence of a melting/remelting condition. A large deformation model 206 is used to model thermal and mechanical strain increments of the material being welded. More specifically, the large deformation model 206 models the distinguishing characteristics between plastic and elastic annealing strains during the welding process.
A virtual elements detection model 208 provides virtual elements for weld passes which have not actually occurred. In a multiple pass welding process, models must include all passes before any weld metal is actually deposited. For example, the stiffness of the material must be modeled as though all weld passes have been completed, even though welding has not begun. Typical welding model packages compensate for this by a process known as element birth and death. The finite elements of the weld metal must be deactivated until later in the modeling process. This method is very tedious and requires much time and computational power to perform, since the elements must be removed from the files and restored later. The virtual elements detection model 208 overcomes this by assuming that the weld metal has been deposited at a minimal stiffness. As the subsequent weld passes are performed, the metal stiffness from each pass is modified to more closely reflect the actual stiffness created by the welding process. In the preferred embodiment, the virtual elements detection model 208 is a three-dimensional model to provide modeling not only of the portion of the material being welded, but to also provide modeling of portions of the material to be welded as the overall weld process takes place.
A strain hardening model 210 models the yield strength which increases as a result of the thermal cycles associated with the multiple weld passes. Yield strength increases as the stresses and strains of welding move from a zero state to a yield state, i.e., from before heating the material to a point just prior to the material yielding to the application of the heat. The strain hardening model 210 is adapted to perform a series of iterations to determine the increments of plastic strain of the material .
A phase transformation model 212 models changes in the microstructure of the material during the welding process . The changes in the microstructure of the material are a function of parameters such as the chemical composition of the material, conditions of the welding process, and the like. Changes in the material include, but are not limited to, volumetric changes during the phase transformation, transformation plasticity, and yield hysteresis due to phase differences in the heating and cooling processes. A temperature history database 214 stores and provides a temperature history of the material during the welding process. Preferably, the temperature history database 214 provides temperature history data to the constitutive model 202 and the history annihilation model 204. A microstructure database 216 stores and provides data of the microstructure of the material during the welding process. Preferably, the microstructure database 216 provides microstructure data to the constitutive model 202 and the phase transformation model 212. In addition, the microstructure database 216 may receive microstructure data of the material from the phase transformation model 212. A material data database 218 stores and provides data of the material, e.g., stresses and strains of the material, during the welding process. Preferably, the material data database provides data to the constitutive model 202, the strain hardening model 210, and the phase transformation model 212. Referring to Fig. 3, a flow diagram illustrating a preferred method of the present invention is shown.
In a first control block 302, the history annihilation model 204 determines the history of the material as a function of melting/remelting and annealing during the welding process. In a second control block 304, the strain hardening model 210 determines the yield strength of the material as a function of multiple heating and cooling cycles caused by multiple weld passes. In a third control block 306, the phase transformation model 212 determines microstructure changes of the material caused by heating of the material during the welding process. Control proceeds to a fourth control block 308, in which the large deformation model 206 determines the distinguishing characteristics between plastic and elastic annealing strains during the welding process. In a fifth control block 310, the virtual elements detection model 208 determines initial minimal stiffness of the weld passes in three dimensions of the material prior to the welding process being performed. In a sixth control block 312, the above models are incorporated into the constitutive model 202 to determine a complete model of the welding process.
Referring to Fig. 4, a flow diagram illustrating a preferred embodiment of the method of Fig. 3 is shown. It is noted that the steps embodied in the flow diagram of Fig. 4 are illustrative of exemplary processes. Alternative and additional steps may be employed where desired without deviating from the spirit of the present invention. In a first control block 402, material data is read from the material data database 218. In a second control block 404, information relevant to the weld pass being performed is read from one of the temperature history database 214, the microstructure database 216, and the material data database 218. In a third control block 406, the temperature history of the material being welded is updated in the temperature history database 214.
In a first decision block 408, it is determined if the virtual elements detection model 208 is desired in the overall model. If yes, then the virtual elements detection model 208 is enabled in a fourth control block 410.
In a second decision block 412, it is determined if an annealing model is desired. If yes, then the history annihilation model 204 is enabled in a fifth control block 414.
In a third decision block 416, it is determined if the large deformation model 206 is desired. If yes, then the large deformation model 206 is enabled in a sixth control block 418.
In a fourth decision block 420, it is determined if the phase transformation model 212 is desired. If yes, then the phase transformation model 212 is enabled in a seventh control block 422.
Control then proceeds to an eighth control block 424. In the eighth control block 424, the large deformation model 206 is used to determine thermal and mechanical strain increments of the material being welded. In the preferred embodiment, the thermal and mechanical strain increments are determined by use of solution dependant state variables of accumulated elastic and plastic strain increments. For example,
Δε™ = Δε + Aε (Equation 1)
where Δε™ is the thermal and mechanical strain increment, Δεe is the elastic strain increment, and Aε is the plastic strain increment. In a fifth decision block 426, it is determined if the material has reached the yield state. If no, then control returns to the third control block 406 for continued modeling. If yes, then control proceeds to a ninth control block 428. In the ninth control block 428, the strain hardening model 210 is used to determine the plastic strain increment, i.e., the incremental increase in yield strength of the material . In a sixth decision block 430, the plastic strain increment is monitored, and the strain hardening model 210 is used to determine further increments of the plastic strain until a desired tolerance level is reached. Once the plastic strain increment is determined to be within tolerance, control proceeds to a tenth control block 432, in which the constitutive model 202 is used to update the state variables of each incremental modeled parameter, and to provide a complete model 200 of the welding process. In the preferred embodiment, the constitutive model 202 uses a state variable approach. For example, for each incremental value determined, the total of the stresses and strains may be determined as :
Δε; ' = Δε° + Δε[; + Δε;j + Δε + Δεf' (Equation 2)
where Δε™ , ΔεX e j , Δεζ , Δεl} τ , Δε , ΔεfT are the total , elastic , plastic , thermal , annealing , and phase transformation incremental strains, respectively. As the state variable solutions for each increment are found, the overall solution dependant state variables are updated accordingly. It is noted that many of the same unique phenomena are introduced during a thermal cutting process, such as cutting by means of oxyfuel, plasma, or laser. The models described above for a welding process may also be used for analysis of a thermal cutting process without deviating from the spirit of the present invention.
Industrial Applicability
The present invention provides an enhanced and more accurate model of the stresses and distortions which occur during a welding process, as compared to typical welding process models currently known. The characteristics of the materials being welded are modeled as temperatures approach levels which cause changes in the material properties.
Examples of welding related material behaviors which are modeled include, but are not limited to, melting/remelting caused by multiple weld passes, material history annihilation caused by annealing, thermal cycling, i.e., alternate heating and cooling of the material, phase transformations, and the like. The results of the above modeling are incorporated into a constitutive weld model to provide a complete model of the effects of the weld process. This complete model may then be used to minimize adverse effects caused by welding.
Other aspects, objects, and features of the present invention can be obtained from a study of the drawings, the disclosure, and the appended claims.

Claims

Claims
1. A method for determining a model for a welding simulation, including the steps of: determining a history annihilation model
(204) of a material being welded (102) ; determining a strain hardening model (210) of the material being welded (102); determining a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and incorporating the above models (204,210,208) into a constitutive model (202) for the welding simulation.
2. A method, as set forth in claim 1, further including the steps of : determining a phase transformation model (212) of the material being welded (102) ; and incorporating the phase transformation model
(212) into the constitutive model (202) .
3. A method, as set forth in claim 1, further including the steps of : determining a large deformation model (206) of the material being welded (102); and incorporating the large deformation model (206) into the constitutive model (202) .
4. A method, as set forth in claim 1, further including the steps of : determining a phase transformation model (212) of the material being welded (102) ; determining a large deformation model (206) of the material being welded (102); and incorporating the above models (212,206) into the constitutive model (202) .
5. A method, as set forth in claim 1, wherein determining a history annihilation model (204) includes at least one of the steps of : modeling melting/remelting of the material being welded (102) ; and modeling annealing of the material being welded (102) .
6. A method, as set forth in claim 1, wherein determining a strain hardening model (210) includes the step of modeling a yield strength of the material being welded (102) .
7. A method, as set forth in claim 1, wherein determining a three-dimensional virtual elements detection model (208) includes the step of assuming a predetermined minimal stiffness value for each of a plurality of future weld passes (104,106, 108) .
8. A method, as set forth in claim 2, wherein determining a phase transformation model (212) includes the step of modeling changes in microstructure of the material being welded (102) .
9. A method, as set forth in claim 3, wherein determining a large deformation model (206) includes the step of modeling a set of characteristics between conditions of plastic and elastic annealing strains of the material being welded (102) .
10. A method, as set forth in claim 4, further including the steps of : storing a temperature history of the material being welded (102); and providing the temperature history to at least one of the above models (212,206) .
11. A method, as set forth in claim 4, further including the steps of : storing data relevant to the material being welded (102) ; and providing the data to at least one of the above models (212,206) .
12. A method, as set forth in claim 11, wherein the data includes microstructure data of the material being welded (102) .
13. A method, as set forth in claim 11, wherein the data includes stress and strain data of the material being welded (102) .
14. A method for determining a model for a welding simulation, including the steps of: determining a history annihilation model (204) of a material being welded (102) ; determining a phase transformation model (212) of the material being welded (102) ; determining a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and incorporating the above models (204,112,208) into a constitutive model (202) for the welding simulation.
15. A method, as set forth in claim 14, further including the steps of : determining a strain hardening model (210) of the material being welded (102); and incorporating the strain hardening model (210) into the constitutive model (202) .
16. A method, as set forth in claim 14, further including the steps of : determining a large deformation model (206) of the material being welded (102); and incorporating the large deformation model (206) into the constitutive model (202) .
17. A method, as set forth in claim 14, further including the steps of : determining a strain hardening model (210) of the material being welded (102) ; determining a large deformation model (206) of the material being welded (102) ; and incorporating the above models (210,206) into the constitutive model (202) .
18. A method for determining a model for a welding simulation, including the steps of: determining a history annihilation model (204) of a material being welded (102) ; determining a strain hardening model (210) of the material being welded (102); determining a phase transformation model (212) of the material being welded (102) ; determining a large deformation model (206) of the material being welded (102); determining a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and incorporating the above models (204,210,212,206,208) into a constitutive model (202) for the welding simulation.
19. A constitutive model (202) for a welding simulation, comprising: a history annihilation model (204) of a material being welded (102) ; a strain hardening model (210) of the material being welded (102); a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and means for incorporating the above models (204,210,208) into a constitutive model (202) for the welding simulation.
20. A model (202), as set forth in claim
19, further including: a phase transformation model (212) of the material being welded (102); and means for incorporating the phase transformation model (212) into the constitutive model (202) .
21. A model (202) , as set forth in claim 19, further including: a large deformation model (206) of the material being welded (102) ; and means for incorporating the large deformation model (206) into the constitutive model
(202) .
22. A model (202), as set forth in claim 19, further including: a phase transformation model (212) of the material being welded (102) ; a large deformation model (206) of the material being welded (102) ; and means for incorporating the above models (212,206) into the constitutive model (202).
23. A model (202) , as set forth in claim
19, wherein the history annihilation model (204) is adapted to model at least one of: melting/remelting of the material being welded (102); and annealing of the material being welded (102) .
24. A model (202) , as set forth in claim 19, wherein the strain hardening model (210) is adapted to model a yield strength of the material being welded (102) .
25. A model (202) , as set forth in claim 19, wherein the three-dimensional virtual elements detection model (208) is adapted to model a predetermined minimal stiffness value for each of a plurality of future weld passes (104,106,108).
26. A model (202), as set forth in claim
20, wherein the phase transformation model (212) is adapted to model changes in microstructure of the material being welded (102) .
27. A model (202), as set forth in claim 21, wherein the large deformation model (206) is adapted to model a set of characteristics between conditions of plastic and elastic annealing strains of the material being welded (102) .
28. A constitutive model (202) for a welding simulation, comprising: a history annihilation model (204) of a material being welded (102); a phase transformation model (212) of the material being welded (102); a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and means for incorporating the above models into a constitutive model (202) for the welding simulation.
29. A model (202), as set forth in claim
28, further including: a strain hardening model (210) of the material being welded (102); and means for incorporating the strain hardening model (210) into the constitutive model (202).
30. A model (202), as set forth in claim 28, further including: a large deformation model (206) of the material being welded (102) ; and means for incorporating the large deformation model (206) into the constitutive model (202) .
31. A model (202) , as set forth in claim 28, further including: a strain hardening model (210) of the material being welded (102); a large deformation model (206) of the material being welded (102) ; and means for incorporating the above models (210,200) into the constitutive model (202).
32. A constitutive model (202) for a welding simulation, comprising: a history annihilation model (204) of a material being welded (102); a strain hardening model (210) of the material being welded (102); a phase transformation model (212) of the material being welded (102) ; a large deformation model (206) of the material being welded (102) ; a three-dimensional virtual elements detection model (208) of the material being welded (102) ; and means for incorporating the above models (210,212,206,208) into a constitutive model (202) for the welding simulation.
PCT/US2000/028124 1999-11-12 2000-10-11 Method for determining a model for a welding simulation and model thereof WO2001037242A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP00968947A EP1230633A2 (en) 1999-11-12 2000-10-11 Method for determining a model for a welding simulation and model thereof

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16520599P 1999-11-12 1999-11-12
US60/165,205 1999-11-12

Publications (2)

Publication Number Publication Date
WO2001037242A2 true WO2001037242A2 (en) 2001-05-25
WO2001037242A8 WO2001037242A8 (en) 2001-11-08

Family

ID=22597910

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2000/028124 WO2001037242A2 (en) 1999-11-12 2000-10-11 Method for determining a model for a welding simulation and model thereof

Country Status (3)

Country Link
US (1) US6768974B1 (en)
EP (1) EP1230633A2 (en)
WO (1) WO2001037242A2 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2347401A2 (en) * 2008-08-21 2011-07-27 Lincoln Global, Inc. Virtual reality pipe welding simulator
CN103038804A (en) * 2010-05-27 2013-04-10 林肯环球股份有限公司 Virtual testing and inspection of a virtual weldment
CN113849924A (en) * 2021-08-19 2021-12-28 北京市机械施工集团有限公司 Steel structure welding residual stress and deformation method and system based on ABAQUS

Families Citing this family (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7082338B1 (en) 1999-10-20 2006-07-25 Caterpillar Inc. Method for providing a process model for a material in a manufacturing process
US7006958B2 (en) * 2000-07-21 2006-02-28 Caterpillar Inc. Method for controlling distortion of a material during a weld process
US10994358B2 (en) 2006-12-20 2021-05-04 Lincoln Global, Inc. System and method for creating or modifying a welding sequence based on non-real world weld data
US9937577B2 (en) 2006-12-20 2018-04-10 Lincoln Global, Inc. System for a welding sequencer
US9040865B2 (en) * 2007-02-27 2015-05-26 Exxonmobil Upstream Research Company Corrosion resistant alloy weldments in carbon steel structures and pipelines to accommodate high axial plastic strains
US9352411B2 (en) 2008-05-28 2016-05-31 Illinois Tool Works Inc. Welding training system
US9483959B2 (en) 2008-08-21 2016-11-01 Lincoln Global, Inc. Welding simulator
US9196169B2 (en) 2008-08-21 2015-11-24 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US8911237B2 (en) 2008-08-21 2014-12-16 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US8851896B2 (en) 2008-08-21 2014-10-07 Lincoln Global, Inc. Virtual reality GTAW and pipe welding simulator and setup
US8884177B2 (en) 2009-11-13 2014-11-11 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
US8354608B2 (en) * 2009-05-14 2013-01-15 B6 Sigma, Inc. Methods for control of a fusion welding process by maintaining a controlled weld pool volume
US9011154B2 (en) 2009-07-10 2015-04-21 Lincoln Global, Inc. Virtual welding system
KR101523015B1 (en) * 2011-04-07 2015-05-26 링컨 글로벌, 인크. Virtual testing and inspection of a virtual weldment
US9101994B2 (en) 2011-08-10 2015-08-11 Illinois Tool Works Inc. System and device for welding training
US9573215B2 (en) 2012-02-10 2017-02-21 Illinois Tool Works Inc. Sound-based weld travel speed sensing system and method
WO2014066538A1 (en) * 2012-10-24 2014-05-01 New York University Structural weak spot analysis
US9368045B2 (en) 2012-11-09 2016-06-14 Illinois Tool Works Inc. System and device for welding training
US9583014B2 (en) 2012-11-09 2017-02-28 Illinois Tool Works Inc. System and device for welding training
US9672757B2 (en) 2013-03-15 2017-06-06 Illinois Tool Works Inc. Multi-mode software and method for a welding training system
US9583023B2 (en) 2013-03-15 2017-02-28 Illinois Tool Works Inc. Welding torch for a welding training system
US9728103B2 (en) 2013-03-15 2017-08-08 Illinois Tool Works Inc. Data storage and analysis for a welding training system
US9666100B2 (en) 2013-03-15 2017-05-30 Illinois Tool Works Inc. Calibration devices for a welding training system
US9713852B2 (en) 2013-03-15 2017-07-25 Illinois Tool Works Inc. Welding training systems and devices
US10930174B2 (en) 2013-05-24 2021-02-23 Lincoln Global, Inc. Systems and methods providing a computerized eyewear device to aid in welding
US11090753B2 (en) 2013-06-21 2021-08-17 Illinois Tool Works Inc. System and method for determining weld travel speed
US10056010B2 (en) 2013-12-03 2018-08-21 Illinois Tool Works Inc. Systems and methods for a weld training system
US9589481B2 (en) 2014-01-07 2017-03-07 Illinois Tool Works Inc. Welding software for detection and control of devices and for analysis of data
US9757819B2 (en) 2014-01-07 2017-09-12 Illinois Tool Works Inc. Calibration tool and method for a welding system
US10170019B2 (en) 2014-01-07 2019-01-01 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US9751149B2 (en) 2014-01-07 2017-09-05 Illinois Tool Works Inc. Welding stand for a welding system
US10105782B2 (en) 2014-01-07 2018-10-23 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US9724788B2 (en) 2014-01-07 2017-08-08 Illinois Tool Works Inc. Electrical assemblies for a welding system
US9700953B2 (en) 2014-06-25 2017-07-11 Honda Motor Co., Ltd. Adaptive welding apparatus, control system, and method of controlling an adaptive welding apparatus
US9937578B2 (en) 2014-06-27 2018-04-10 Illinois Tool Works Inc. System and method for remote welding training
US9862049B2 (en) 2014-06-27 2018-01-09 Illinois Tool Works Inc. System and method of welding system operator identification
US10665128B2 (en) 2014-06-27 2020-05-26 Illinois Tool Works Inc. System and method of monitoring welding information
US10307853B2 (en) 2014-06-27 2019-06-04 Illinois Tool Works Inc. System and method for managing welding data
US11014183B2 (en) 2014-08-07 2021-05-25 Illinois Tool Works Inc. System and method of marking a welding workpiece
US9724787B2 (en) 2014-08-07 2017-08-08 Illinois Tool Works Inc. System and method of monitoring a welding environment
US9875665B2 (en) 2014-08-18 2018-01-23 Illinois Tool Works Inc. Weld training system and method
US11247289B2 (en) 2014-10-16 2022-02-15 Illinois Tool Works Inc. Remote power supply parameter adjustment
US10239147B2 (en) 2014-10-16 2019-03-26 Illinois Tool Works Inc. Sensor-based power controls for a welding system
US10210773B2 (en) 2014-11-05 2019-02-19 Illinois Tool Works Inc. System and method for welding torch display
US10490098B2 (en) 2014-11-05 2019-11-26 Illinois Tool Works Inc. System and method of recording multi-run data
US10204406B2 (en) 2014-11-05 2019-02-12 Illinois Tool Works Inc. System and method of controlling welding system camera exposure and marker illumination
US10402959B2 (en) 2014-11-05 2019-09-03 Illinois Tool Works Inc. System and method of active torch marker control
US10417934B2 (en) 2014-11-05 2019-09-17 Illinois Tool Works Inc. System and method of reviewing weld data
US10373304B2 (en) 2014-11-05 2019-08-06 Illinois Tool Works Inc. System and method of arranging welding device markers
US10427239B2 (en) 2015-04-02 2019-10-01 Illinois Tool Works Inc. Systems and methods for tracking weld training arc parameters
US10657839B2 (en) 2015-08-12 2020-05-19 Illinois Tool Works Inc. Stick welding electrode holders with real-time feedback features
US10373517B2 (en) 2015-08-12 2019-08-06 Illinois Tool Works Inc. Simulation stick welding electrode holder systems and methods
US10593230B2 (en) 2015-08-12 2020-03-17 Illinois Tool Works Inc. Stick welding electrode holder systems and methods
US10438505B2 (en) 2015-08-12 2019-10-08 Illinois Tool Works Welding training system interface
US10878591B2 (en) 2016-11-07 2020-12-29 Lincoln Global, Inc. Welding trainer utilizing a head up display to display simulated and real-world objects
US10913125B2 (en) 2016-11-07 2021-02-09 Lincoln Global, Inc. Welding system providing visual and audio cues to a welding helmet with a display
US10997872B2 (en) 2017-06-01 2021-05-04 Lincoln Global, Inc. Spring-loaded tip assembly to support simulated shielded metal arc welding
US11776423B2 (en) 2019-07-22 2023-10-03 Illinois Tool Works Inc. Connection boxes for gas tungsten arc welding training systems
US11288978B2 (en) 2019-07-22 2022-03-29 Illinois Tool Works Inc. Gas tungsten arc welding training systems

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4596917A (en) * 1984-01-16 1986-06-24 General Electric Company Resistance spot welder process monitor
US4998663A (en) * 1989-12-22 1991-03-12 Edison Polymer Innovation Corporation Friction welding apparatus
JPH06186141A (en) * 1992-12-16 1994-07-08 Hitachi Ltd Remaining stress prediction method
US5552575A (en) * 1994-07-15 1996-09-03 Tufts University Scan welding method and apparatus

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
No Search *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2347401A2 (en) * 2008-08-21 2011-07-27 Lincoln Global, Inc. Virtual reality pipe welding simulator
EP2347401B1 (en) * 2008-08-21 2024-04-17 Lincoln Global, Inc. Virtual reality pipe welding simulator
CN103038804A (en) * 2010-05-27 2013-04-10 林肯环球股份有限公司 Virtual testing and inspection of a virtual weldment
CN103038804B (en) * 2010-05-27 2016-08-17 林肯环球股份有限公司 The virtual test of virtual weldment and inspection
CN106057026A (en) * 2010-05-27 2016-10-26 林肯环球股份有限公司 Virtual testing and inspection of a virtual weldment
CN106057026B (en) * 2010-05-27 2020-06-16 林肯环球股份有限公司 Virtual testing and inspection of virtual weldments
CN113849924A (en) * 2021-08-19 2021-12-28 北京市机械施工集团有限公司 Steel structure welding residual stress and deformation method and system based on ABAQUS

Also Published As

Publication number Publication date
US6768974B1 (en) 2004-07-27
WO2001037242A8 (en) 2001-11-08
EP1230633A2 (en) 2002-08-14

Similar Documents

Publication Publication Date Title
US6768974B1 (en) Method for determining a model for a welding simulation and model thereof
Afazov Modelling and simulation of manufacturing process chains
Azadi et al. Numerical simulation of multiple crack growth in brittle materials with adaptive remeshing
Donders et al. The effect of spot weld failure on dynamic vehicle performance
Perić et al. Numerical prediction and experimental validation of temperature and residual stress distributions in buried‐arc welded thick plates
McClung et al. Integration of manufacturing process simulation with probabilistic damage tolerance analysis of aircraft engine components
Zhang et al. Damage‐based low‐cycle fatigue lifetime prediction of nickel‐based single‐crystal superalloy considering anisotropy and dwell types
Seufzer Additive Manufacturing Modeling and Simulation A Literature Review for Electron Beam Free Form Fabrication
Lindström et al. Constitutive model for thermomechanical fatigue conditions of an additively manufactured combustor alloy
Hartel et al. Finite element modeling for the structural analysis of Al-Cu laser beam welding
Salerno et al. Residual stress analysis and finite element modelling of repair-welded titanium sheets
Prinz et al. Processing, thermal and mechanical issues in shape deposition manufacturing
Arun Finite element modelling of fracture and damage in austenitic stainless steel in nuclear power plant
Mullins et al. Influence of hardening model on weld residual stress distribution
Maurel et al. An analysis of thermal gradient impact in thermal–mechanical fatigue testing
Kiran et al. Design & Modelling of Double Cantilever structure by Stainless Steel 316L deposited using Additive Manufacturing Directed Energy Deposition Process
Evans et al. Stochastic modelling of the small disc creep test
Ogarevic et al. Thermal fatigue of automotive components
Satin et al. Transition modelling of surface flaws to through cracks
Nagode et al. Elasto-viscoplastic material modelling using the multiaxial Prandtl operator approach
Vojtesek et al. Two Types Of External Linear Models Used For Adaptive Control Of Continuous Stirred Tank Reactor.
KR100821958B1 (en) Finite element method
Dhamade Unified Secondary and Tertiary Creep Modeling of Additively Manufactured Nickel-Based Superalloys
Maassen et al. Modeling of the Split-Hopkinson-Pressure-Bar experiment with the explicit material point method
Ishihara et al. Inverse analysis method of molten shape by deep learning

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): CA JP

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
AK Designated states

Kind code of ref document: C1

Designated state(s): CA JP

AL Designated countries for regional patents

Kind code of ref document: C1

Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE

D17 Declaration under article 17(2)a
WWE Wipo information: entry into national phase

Ref document number: 2000968947

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 2000968947

Country of ref document: EP

WWW Wipo information: withdrawn in national office

Ref document number: 2000968947

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: JP