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WO2014077812A1 - Certification d'une soudure produite par soudage par friction-malaxage - Google Patents

Certification d'une soudure produite par soudage par friction-malaxage Download PDF

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Publication number
WO2014077812A1
WO2014077812A1 PCT/US2012/065180 US2012065180W WO2014077812A1 WO 2014077812 A1 WO2014077812 A1 WO 2014077812A1 US 2012065180 W US2012065180 W US 2012065180W WO 2014077812 A1 WO2014077812 A1 WO 2014077812A1
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WO
WIPO (PCT)
Prior art keywords
weld
sensor
certification
data
fsw
Prior art date
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Ceased
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PCT/US2012/065180
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English (en)
Inventor
Chris OBADITCH
Glenn J. Grant
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Fluor Technologies Corp
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Fluor Technologies Corp
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Publication date
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Priority to PCT/US2012/065180 priority Critical patent/WO2014077812A1/fr
Priority to CA2891368A priority patent/CA2891368A1/fr
Publication of WO2014077812A1 publication Critical patent/WO2014077812A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K20/00—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
    • B23K20/12—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating the heat being generated by friction; Friction welding
    • B23K20/122—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating the heat being generated by friction; Friction welding using a non-consumable tool, e.g. friction stir welding
    • B23K20/123—Controlling or monitoring the welding process
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
    • B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
    • B23K31/125—Weld quality monitoring

Definitions

  • the field of the invention is friction stir welding (FSW). Background
  • Friction stir welding is a solid-state welding process in which a rotating tool heats and intermixes two workpieces at a seam (e.g., a junction, joint, or boundary between the workpieces). More specifically, the rotating tool has a pin that is pressed into the seam as the tool rotates, producing frictional heat between the tool and the workpieces. Enough heat is generated such that regions of the workpieces plasticize. A shoulder of the FSW tool assists in causing the plasticized regions to intermix, thus joining (i.e., FSW) the workpieces at the seam. The rotating tool travels along the entire length of the seam to form a weld joint line between the two workpieces.
  • a seam e.g., a junction, joint, or boundary between the workpieces.
  • FSW provides numerous advantages over other welding processes, in part, due to the fact that FSW occurs at much lower temperatures and without a filler material. Some of the advantages of FSW include: better mechanical properties at the weld; less porosity, shrinkage, and distortion; little or no toxic fume emissions; no consumable filler material; and ease of automation. Since its conception in 1991, FSW has been heavily researched and successfully applied to numerous industries in a wide variety of applications.
  • Patent No. 6,299,050 describes a FSW system that monitors and controls the distance between the FSW tool and the workpieces using a sensor just ahead of the moving FSW tool.
  • International Patent Application Publication No. WO 98/13167 describes a FSW system that uses an ultrasonic device to measure variations in the thickness of the workpieces in order to control the distance between the FSW tool and the workpieces.
  • defects Even when FSW process parameters are carefully monitored and controlled, a certain number of defects will inescapably be present in a weld.
  • common defects include volumetric defects (e.g., gaps or voids), root flaws or weld line defects (e.g., a portion of the seam fails to bond along the weld line), joint line remnants (i.e., when remnants of undesirable joint line materials, such as surface oxidation, mix into the weld), and excessive flash (i.e., when workpieces are overly heated and the FSW tool ejects material from the weld region).
  • Weld deflects reduce weld quality and can even cause the weld to fail (e.g., break, crack, leak).
  • Radiographic testing is another example of an online nondestructive method for detecting defects in welds and can even be used to identify "hidden" defects (i.e., defects not readily observable with the natural eye).
  • Radiographic testing operates by exposing the weld to a radiation source (e.g., emission from gamma radiation sources such as 192Ir, 60Co, and 137Cs) and measuring the amount of radiation that penetrates the workpiece. Radiographic testing provides information on the thickness and composition of the weld.
  • a radiation source e.g., emission from gamma radiation sources such as 192Ir, 60Co, and 137Cs
  • U.S. Patent Application Publication No. 2003/00572508 discloses a FSW machine that includes an ultrasonic probe that trails the path of the FSW tool to identify and mark defects.
  • U.S. Patent Application Publication No. 2003/00572508 discloses a FSW machine that includes an ultrasonic probe that trails the path of the FSW tool to identify and mark defects.
  • JP2004317475 also disclose the use of ultrasonic probes to characterize defects in FSW welds.
  • online certification means to provide a certification of a FSW weldment while the FSW device is still associated with the workpieces that are being joined.
  • associated means that the FSW device is still attached to, in physical contact with, or at least within close proximity to (e.g., in the same room, building, or worksite), the workpieces.
  • dissociation dissociated
  • disassociate and the like are used herein to refer to a FSW device that is no longer associated with the workpieces and/or weld site (e.g., the FSW device has been detached from and/or removed from the worksite).
  • the inventive subject matter provides apparatus, systems, and methods of acquiring certification-related information related to a weld.
  • the method comprises utilizing a FSW device to produce a weld that joins two or more workpieces, and operating a sensor to gather data related to one or more properties of the weld.
  • the step of operating a sensor to gather data is performed while the FSW device is still attached to, or in physical contact with, the workpieces.
  • the step of operating a sensor to gather data is performed after the FSW device has been removed from the workpieces, but still within close proximity to the workpieces (e.g., in the same room, building, or worksite).
  • Contemplated methods may also include the steps of storing the sensor data in an electronic storage medium and comparing the data to a set of certification data.
  • the certification data represent a set of threshold weld characteristics that are defined by an extrinsic standard setting organization (e.g., ISO, AWS, ASME, etc).
  • the threshold characteristics correspond to a FSW standard.
  • the threshold characteristics may correspond to ISO code no. 25239-5 :201 1.
  • the threshold characteristic may correspond to an AWS D 17.3/D17.3M:2010.
  • the threshold characteristics may correspond to two or more sets of FSW standards.
  • the step of comparing the sensor data to the certification data is preferably performed automatically and electronically using a certification engine and while the FSW device is still associated with the workpieces.
  • contemplated methods include the step of reporting a certification status of the weld to a user. For example, a report may be generated for the user that compares a sensed characteristic of the weld to the corresponding threshold characteristic.
  • the certification status is reported prior to separation of the workpieces from the FSW device. In other embodiments, the certification status is reported while the FSW device is still within about 10 meters of the weld.
  • Examples of sensor data include, but are not limited to, data related to a conductivity, density, permittivity, magnetic permeability, radio lucency, and/or optical characteristics (e.g., reflectivity, color) of the weld.
  • Other examples of sensor data include temperature data of the weldment and workpieces, temperature data of the FSW tool, and load data (e.g., force data) of the FSW tool in the x, y, and z directions.
  • sensor data can be gathered from either one sensor, or a plurality of sensors.
  • a single sensor that utilizes multiple sensory modes may be used.
  • the inventive subject matter also provides a FSW device that includes a first arm that is coupled with a FSW tool and a second arm that is coupled with a sensor that produces a signal which includes sensor data.
  • the FSW device further includes a control system that controls movement of the first arm and second arm and a certification engine that receives the sensor signal and compares the sensor data to certification data.
  • the FSW device can also include a reporting engine and reporting device coupled with the certification engine and configured to report certification status of the weld to a user.
  • certification data may represent one or more threshold weld characteristics defined by an extrinsic standard setting organization.
  • Fig. 1 shows a schematic of a method of acquiring certification-related information related to a weld.
  • Fig. 2 shows a friction stir welding tool for joining two pipe segments.
  • Fig. 3 shows a friction stir welding device that has sensors and a certification engine.
  • Fig. 4 shows a schematic of a certification engine for acquiring certification-related information and reporting a certification status.
  • inventive subject matter provides many example embodiments of the inventive subject matter. Although each embodiment represents a single combination of inventive elements, the inventive subject matter is considered to include all possible combinations of the disclosed elements. Thus if one embodiment comprises elements A, B, and C, and a second embodiment comprises elements B and D, then the inventive subject matter is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly disclosed.
  • computing devices including servers, interfaces, systems, databases, agents, peers, engines, controllers, or other types of computing devices operating individually or collectively.
  • Such computing devices may be integrated into a FSW device, or may be nonintegrated devices that are located proximate to the FSW device.
  • various computing components can be located at a remote site.
  • computing devices comprise a processor configured to execute software instructions stored on a tangible, non-transitory computer readable storage medium (e.g., hard drive, solid state drive, RAM, flash, ROM, etc.).
  • the software instructions preferably configure the computing device to provide the roles, responsibilities, or other functionality as discussed below with respect to the disclosed apparatus.
  • the various servers, systems, databases, or interfaces exchange data using standardized protocols or algorithms, possibly based on HTTP, HTTPS, AES, public-private key exchanges, web service APIs, known financial transaction protocols, or other electronic information exchanging methods.
  • Data exchanges preferably are conducted over a packet-switched network, the Internet, LAN, WAN, VPN, or other type of packet switched network.
  • the disclosed techniques provide many advantageous technical effects including online nondestructive weld certification methods and systems. More specifically, the inventive subject matter provides apparatus, systems, and methods by which one can generate an online certification of a friction stir weld. Such certification provides the user with documentation that a weld meets acceptance standards and insures the quality of the welded workpieces. Alternatively, failure to meet such standards can serve to alert a user to flaws in the weld, which may then be repaired while workpieces are still in place on the FSW device, thus avoiding costly relocation, remounting, and/or realignment of the workpieces with the FSW device.
  • FIG. 1 illustrates a method 100 of acquiring weld information for certifying a weld.
  • Method 100 begins with step 110, in which the workpieces to be welded by a FSW process are aligned with a FSW device.
  • the FSW process is initiated by placing a rotating FSW tool tip at the seam (e.g., joint, junction, boundary, weld site, etc.) of the workpieces and applying pressure so that the a pin of the FSW tool tip penetrates the seam.
  • the seam e.g., joint, junction, boundary, weld site, etc.
  • the FSW tool tip is moved along the path of the desired weld, softening and mixing the material of the workpieces to form a weld (also referred to as a FSW weldment).
  • a weld also referred to as a FSW weldment
  • the workpieces to be welded can be flat pieces, pipe segments, or even irregular- shaped pieces.
  • the material of the workpiece can be aluminum, aluminum alloy, stainless steel, high strength steel alloys, or any other metal, non-metal, and/or composite
  • compositions suitable for use with a FSW process are suitable for use with a FSW process.
  • inventive subject matter is not intended to be limited to any particular workpiece configuration (e.g., size, shape, composition, etc.).
  • inventive subject matter is not limited to any particular seam configuration.
  • the seam is a butt joint or a lap joint.
  • Step 120 involves operating one or more sensors to obtain information about the weld for the purposes of characterizing the weld quality (e.g., identifying defects), providing a certification status, and/or controlling the FSW process parameters.
  • step 120 is performed while the workpieces are still engaged with the FSW device (e.g., the workpieces are still physically attached to, or in contact with, a component of the FSW device such as an anvil, platform, or platform clamps).
  • the one or more sensors may begin to acquire signals before, during, or even after the FSW process to obtain information relevant to characterizing the weld.
  • the sensor(s) start to acquire data before the FSW tool has penetrated the workpieces and continues to acquire data until the FSW tool tip is removed from the workpieces and the workpieces have reached room temperature.
  • Contemplated sensors can include any sensor suitable for gathering data related to characterizing a weld and/or controlling process parameters.
  • the sensor comprises an optical sensor configured to detect optical characteristics of a weld.
  • Such optical sensors may be used in conjunction with image recognition software and hardware that permits characterization of an optical image.
  • Such characterization may provide information related to composition, for example, the presence of oxidized material.
  • the characterization of optical sensor data may also provide information related to the dimensions of a weld, gaps or discontinuities in the weld, and/or the presence of flash material.
  • the senor can comprise a radiation sensor, configured to work in concert with a radiation source for radiographic detection.
  • Suitable radiation sources include, but are not limited to X ray sources and radioactive isotopes.
  • Such radiation sensors provide data related to radiation intensity from such a radiation source when the weld is interposed between them. Such data may provide information related to radiolucency of material of a weld, gaps or voids within a weld, thickness of a weld, and/or composition of a weld.
  • the sensor can comprise an ultrasonic sensor.
  • the ultrasonic sensor can include an emitter and a detector, which may be used in concert to gather data regarding a weld.
  • Such data includes, but is not limited to, information related to the presence of gaps and/or voids within a weld, depth of a weld, density of the material of a weld, and discontinuities in a weld.
  • Still another embodiment of the inventive method may use an eddy current sensor configured to characterize a weld.
  • eddy current sensors may utilize a magnetic field to induce an electric field in the material of a weld, thereby gathering data regarding a weld.
  • data includes, but is not limited to, the presence of gaps or voids within a weld, depth of a weld, density of material of a weld discontinuities in a weld, composition of material of a weld, conductivity of material of a weld, and permittivity of material of a weld.
  • Such an eddy current sensor may be an array of eddy current sensors.
  • the senor can comprise one or more force transducers (e.g., load cells) that measure and record the forces (e.g., load data) experienced by the FSW tool.
  • the sensor(s) can be configured to measure forces in all three directions within a three- dimensional space: the x-direction (i.e., the direction of travel of the FSW tool), the y- direction (i.e., the direction perpendicular to the direction of travel and within the plane of the workpiece surface), and the z-direction (i.e., the direction perpendicular to the plane of the workpiece surface).
  • the "plane" of the workpiece surface is a hypothetical plane that is substantially tangential to the workpiece surface. The three directions of force are illustrated in Figure 2.
  • FIG. 2 shows a perspective view of a FSW tool 200, which is about to engage seam 210.
  • Seam 210 is the junction at which two non-planar workpieces, namely, pipe segment 220 and 230, meet.
  • FSW tool 200 will travel in an orbital fashion along seam 210 in direction 235 (parallel to the x-direction) to form a weld.
  • force transducer 250 gathers load data that represent the forces experienced by FSW tool 200 in the three directions illustrated by axes 240, namely, the x-direction, y- direction, and z-direction.
  • step 120 of method 100 can comprise operating a single sensor to acquire information about a weld and could also comprise operating two or more sensors to acquire information about a weld. In some embodiments step 120 comprises operating a single sensor that utilizes two or more sensing modes.
  • some embodiments may utilize a particular temporal relationship between activity of a FSW tool and gathering of data related to a weld characteristic by a sensor.
  • a sensor may be configured such that it maintains a fixed distance from a FSW tool.
  • a sensor may gather data characterizing a weld at less than about 1, 2, 3, 4, 5, 10, 15, 20, 25, 30, 45, or 60 minutes from the production of a weld or seam.
  • the time at which data is gathered may be related to the temperature of the weld, seam, surrounding workpiece, or FSW tool. This temperature may correspond to the upper tertile of a functional temperature range of a sensor mode or technology. In such an embodiment a sensor may gather data characterizing a weld after it reaches a temperature of less than about 25°C, 35°C, 50°C, 75°C, 100°C, 200°C, 350°C, or 500°C.
  • the senor(s) may maintain a particular spatial arrangement with a FSW device (or a portion thereof).
  • the sensor may follow behind the FSW tool tip at a fixed distance.
  • a sensor may follow behind FSW tool tip at a distance of less than about 1 cm, 2 cm, 5 cm, 10 cm 25 cm, 50 cm, 75 cm, 1 meter, 2 meters, 3 meters, 4 meters, or 5 meters.
  • the sensor may be configured to acquire weld data when the FSW tool tip is less than about 1, 2, 3, 4, 5, 7.5, or 10 meters from the weld or seam.
  • the sensor may maintain an angle relative to the path of the FSW tool tip.
  • the sensor may trail the path of the tool tip at an angle of 0.5 radians, 1 radian, 2 radians, 3 radians, or 4 radians.
  • the senor(s) may be coupled to an arm of the FSW device.
  • an arm holding the FSW tool also holds at least one sensor.
  • the sensors are held by separate arms than the FSW tool.
  • data obtained from the sensor(s) may be stored on any suitable electronic storage medium.
  • Suitable electronic storage media include, but are not limited to, magnetic media (such as, for example, a hard drive), SRAM, DRAM, EEPROM, ECC memory, and/or flash memory.
  • the electronic storage medium may be located proximate to the weld or may be located at a remote site.
  • data obtained from a sensor is transmitted to more than one memory location, for example to a computing device integrated into a FSW device and to a remote database or server utilized by an offsite plant or project modeling system.
  • step 140 data obtained from the sensor(s) is utilized by a certification engine.
  • the certification engine can be configured to perform an operation or algorithm that relates sensor data to one or more certification data that represent, or relate to, certification requirements and/or standards.
  • One example of certification data may include threshold values related to the presence, dimensions, location, and/or number of defects in a weld.
  • the certification data is determined by the user (e.g., the welder) or entity in direct or indirect control of the FSW process (e.g., general contractor or
  • the certification data are obtained from an extrinsic standard setting organization.
  • extrinsic entities are entities not under the control of the user of the inventive method and/or the FSW device.
  • extrinsic standard setting organizations include, but are not limited to, the American Welding Society, the International Standards Organization, and the National Aeronautics and Space Administration.
  • Certification data can be obtained from weld standards such as ISO 25239-1 :2011 through ISO 25239-5:2011 and AWS D17.3/D17.3M:2010.
  • the certification data could represent two or more distinct standards set by different organizations.
  • the certification engine compares the sensor data with the two or more distinct standards to determine whether each standard has been satisfied.
  • step 140 may additionally include the step of configuring the certification engine to process sensor data to produce derived data.
  • the derived data can then be compared with certification data, either in addition to, or instead of the sensor data (e.g., raw data), to determine a certification status.
  • the certification engine can be configured to correlate the load data and temperature data to provide a new set of derived data.
  • the derived data can then be used to characterize the weld and determine a certification status.
  • the step of producing derived data could include performing a fast Fourier transform operation on the temperature data and/or x-direction load data and y- direction load data in a manner that characterizes the weld.
  • the certification engine can be configured to compare the signal phases of the x-direction load data and y-direction load data to produce derived data. The derived data can then be used to provide a characterization of the weld.
  • step of producing derived data could include numerous iterations of correlations and derivations using algorithms that account for many FSW process parameters and sensor data (e.g., load cell voltage, amperage, tool travel speed, tool RPM, optical data, temperature profiles, etc.).
  • sensor data e.g., load cell voltage, amperage, tool travel speed, tool RPM, optical data, temperature profiles, etc.
  • Step 150 comprises reporting a certification status of a weld.
  • the certification status is reported prior to separating the welded workpieces from the FSW device. As noted above, this provides the user with the opportunity to repair a flawed weld (should a weld fail to pass certification) without the need to remount and realign the workpieces and FSW device.
  • a report of certification status may be provided directly to a user of the FSW device. Alternatively, a report of certification status may be transmitted to a database of a plant or project modeling system. In some embodiments, a report of certification may be provided to multiple sites and/or users. Suitable reporting devices include, but are not limited to, a monitor or display, and/or a printer. Alternatively, a reporting device may transmit an electronic certification status report in the form of an email, text message, and/or database entry.
  • Method 100 could additionally include the step of configuring a control engine or control module to analyze the sensor data and provide a control signal to an actuator of the FSW process.
  • the control signal could cause an actuator to change the travel speed, RPM, depth, or z-direction force of the FSW tool.
  • the signal could also cause an actuator to change the temperature of a heating/cooling element in contact with the workpieces.
  • the control engine is preferably configured to provide a control signal that improves at least one characteristic of the weld.
  • the control engine could be configured to analyze many process parameters in a manner that anticipates the formation of a defect and/or the formation of a particular molecular structure (e.g., austenite, martensite, pearlite, large grain sizes, small grain sizes, etc.). Based on the inferences derived from the sensor data, a control signal can adjust process parameters to avoid defects while still achieving the desired molecular structure.
  • a particular molecular structure e.g., austenite, martensite, pearlite, large grain sizes, small grain sizes, etc.
  • FIG. 3 shows a FSW device 300 and a seam 310.
  • Seam 310 represents the joint between two workpieces, namely, pipe segment 320 and pipe segment 330.
  • Device 300 comprises a frame 305 movably coupled with clamp 307 and clamp 309.
  • Clamp 307 is used to clamp FSW device 300 to pipe segment 320
  • clamp 309 is used to clamp FSW device 300 to pipe segment 330.
  • Frame 305 has an arm 340 that holds a FSW tool 345.
  • Tool 345 includes a shoulder portion and a pin portion.
  • arm 340 hydraulically extends toward seam 310 while rotating FSW tool 345 such that the shoulder portion is pressed against the surface of seam 310 while the pin portion penetrates into seam 310.
  • Frame 305 then travels orbitally around seam 310 via tracks on clamps 307 and 309. The frictional heat produced by the rotation and travel of FSW tool 345 is sufficient to melt and mix the workpieces at seam 310, thus producing a solid sate weldment along seam 310.
  • Arm 340 also includes a force transducer 347, which measures load data in the x, y, and z directions (see Figure 2) experienced by FSW tool 345.
  • Frame 305 also has a first sensor 351 and a second sensor 353.
  • Sensor 351 and sensor 353 collect data relevant to characterizing a weld and/or controlling FSW process parameters.
  • Sensor 351 and sensor 353 can comprise any sensor suitable for characterizing a weld.
  • sensors include, but are not limited to, optical sensors, radiation sensors, ultrasonic sensors, eddy current sensors, or any sensor modality appropriate for
  • Sensor 351 and sensor 353 gather data before, during, and after the active welding step (i.e., the period during which FSW tool 345 rotates, penetrates, and travels along seam 310).
  • Sensor 351 and sensor 353 produce data signals that are transmitted to computing system 360.
  • Computing system 360 includes an electronic storage medium, processor, executable code, and other electrical and non-electrical components necessary for storing and analyzing electronic data.
  • Computing system 360 also includes a certification engine and a control engine.
  • the certification engine is configured to store sensor data provided by the signals from sensor 351 and sensor 353 in the electronic storage medium.
  • the certification engine is also configured to compare sensor data with certification data to determine a certification status of the weld.
  • the certification engine is additionally configured to analyze sensor data and process parameter data to produce a set of derived data that is useful for characterizing a weld.
  • the control engine is configured to monitor and record the FSW process parameters.
  • the control engine is also configured to produce at least one control signal that is transmitted to at least one actuator (e.g., hydraulic systems, servo-motors, etc.).
  • the control signal adjusts process parameters during the FSW process to improve weld quality and process performance (e.g., efficiency, cost, etc.).
  • FSW device 300 also has a heating/cooling element 370 that can regulate the temperature of seam 310 before, during, and/or after welding.
  • FSW device 300 could include only one sensor, or three or more sensors. Some sensors may be in contact with the workpiece surface while others may be noncontact sensors. In other aspects, some sensors may be supported by a common arm rather than distributed on two or more different arms. Some sensors may even be statically placed on the workpieces and remain stationary while frame 305 rotates orbitally around seam 310.
  • Sensor signals could be transmitted to computing system 360 via a wired connection, such as an Ethernet cable, a USB cable, a serial data cable, and/or a parallel data cable.
  • signals may be transmitted wirelessly via, for example, Bluetooth and or WiFi transmission protocols.
  • computing system 360 may be located apart from frame 305.
  • computing system 360 could be a desktop computer located at the worksite but physically decoupled from frame 305.
  • computing system 360 is still communicatively coupled with the sensors and actuators of FSW device 360, either via a wired or wireless communication channel.
  • Computing system 360 may include a display (e.g., monitor screen) to provide certification status reports to a user.
  • Computing system 360 may also include any number of input/output devices for user interaction (e.g., keyboard, mouse, touch screen display, microphone and voice recognition, printers, email capabilities, etc.).
  • computing system 360 may be coupled with an information network, such as, for example, the internet and/or a company intranet.
  • computing system 360 is shown as a single component, computing system 360 could also comprise a plurality of individual computing devices (e.g. , distributed
  • the executable code that represents the certification engine and control engine could be stored together in one device and in one electronic file, or across multiple devices and files.
  • FIG. 4 shows a schematic of a certification and control engine 400.
  • Engine 400 has a control module 410 and a certification module 420.
  • Engine 400 receives sensor signals from a plurality of sensors 401, 402, and 403 via sensor interface 430.
  • Interface 430 provides sensor signal data to modules 410 and 420 for analysis.
  • Control module 410 analyzes sensor signal data to determine whether adjustments should be made to FSW process 460. If adjustments need to be made, control module 410 transmits a control signal to FSW actuator 450 via actuator interface 440.
  • Actuator 450 makes an adjustment to FSW process 460.
  • Sensors 401, 402, and 403 produce new sensor signals based on the adjustments to 460. The new sensor signals are transmitted to sensor interface 430 and the previous steps are repeated.
  • Sensor signals are also transmitted to certification module 420.
  • Module 420 compares the sensor signals to certification data to determine whether FSW process 460 has produced a weld that passes certification standards.
  • the certification data is provided by an extrinsic standard setting organization.
  • Certification module 420 provides a certification status report to user display 480 via user interface 470.
  • the certification status report is transmitted to user display 480 while the FSW device of FSW process 460 is still associated with the workpieces.
  • Engine 400 is in communication with a database (not shown).
  • Engine 400 stores sensor signal data on the database as sensor data objects.
  • Engine 400 also stores other data objects on the database that represent certification status reports, data derived from sensor data, and process parameter data.
  • the database also includes certification data objects that represent certification standards.
  • Engine 400 compares sensor data objects with certification data objects to provide a certification status report.
  • Different applications of certification and control engine 400 are illustrated below by way of non-limiting examples.
  • Two flat workpieces can be mounted in a FSW device and aligned to form a butt joint.
  • the FSW device can be programmed to form a 15 meter long weld at the joint between the work surfaces.
  • the FSW tool can be moved along the seam and trailed by a CCD-based optical sensor by a distance of 15 cm.
  • Image characterization software can be utilized to identify areas of reduced reflectivity and calculate their dimensions and orientation.
  • This data can be transmitted to a certification engine, which includes a database containing ISO certification standards for FSW welds.
  • the standard could include the requirement that no more than 3 weld line defects occur along the length of the weld and that they occupy no more than 0.2% of the total length of the weld.
  • the certification engine interprets sensor data by applying algorithms that correlate sensor data with weld defects in order to derive weld defect data. The certification engine then compares the sensor data and/or weld defect data derived from sensor data to the ISO standards.
  • a report can be generated by the certification engine indicating that the weld is either passes or fails the certification standards.
  • the report may also indicate the positions and dimensions of the weld line defects while the welded workpieces are still engaged with the FSW device. This allows the operator of the FSW device to repeat portions of the welding operation in order to repair these defects without re-mounting.
  • a FSW device can be used to join two segments of steel pipe with an internal diameter of 2 meters.
  • the pipe segments may be aligned and a FSW device programmed to move along the external diameter of the joint in order to form a weld at the joint between the work surfaces.
  • As the FSW tool moves along the seam it may be trailed by an ultrasonic sensor by a distance of 1 meter.
  • the ultrasonic sensor can include an emitter and a receiver. Echoes from the emitted ultrasound can be used to characterize the dimensions of the weld and enumerate/estimate the dimensions of volumetric defects within the weld by methods known in the art.
  • This data can be transmitted to a certification engine, which includes a database containing AWS standards for friction stir welds.
  • a report can be generated by the certification engine indicating if the weld is certified.
  • the certification engine can be configured to (i) print the report for the FSW operator and (ii) transmit the report to a project database associated with a project model system.
  • a FSW device can be used to join planar workpieces.
  • a sensor gathers load data that represents the forces experienced by the FSW tool in the x, y, and z directions.
  • the FSW device also includes a plurality of temperature sensor that measure the temperature of the workpieces just head of the FSW tool, behind the FSW tool, and the area surrounding the seam.
  • the load data and temperature data are transmitted to a certification and control engine.
  • the engine monitors and processes the sensor data and other process parameters (e.g., FSW tool's rpm and travel speed) and runs an algorithm(s) that is configured to anticipate the formation (or probability of formation) of a weld defect and/or determine the presence of a weld defect.
  • the algorithm(s) utilizes a known correlative relationship between a temperature profile (e.g., temperature of an area over time, rates of temperature changes, etc.) and weld characteristics (e.g., presence of defects, molecular phase of an alloy, etc.) to anticipate a weld defect formation or to determine the presence of a weld defect.
  • the algorithm(s) also utilizes a known correlative relationship between load data and weld characteristics. For example, the algorithm(s) could apply a fast Fourier transform to the x and y forces.
  • the algorithm(s) could compare the phases of the x and y forces, thus avoiding the heavy processing requirements of Fourier transform operations.
  • the certification and control engine anticipates the formation of a weld defect, the engine sends a signal to various actuators that control and adjust process parameters (e.g., z force, depth of FSW tool, travel speed of FSW tool, RPM's of FSW tool, etc.).
  • process parameters e.g., z force, depth of FSW tool, travel speed of FSW tool, RPM's of FSW tool, etc.
  • the certification and control engine also provides real-time certification reporting that notifies a user when the weld fails a certification standard. The user can then decide whether to terminate the FSW process early or allow the FSW device to continue running.
  • Coupled to is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms “coupled to” and “coupled with” are used synonymously.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Quality & Reliability (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

L'invention concerne des procédés, des dispositifs et des systèmes de fourniture d'une certification de soudures produites par soudage par friction-malaxage. Un capteur est utilisé pour collecter des informations associées à un soudage par friction-malaxage. Des données provenant du capteur sont comparées à des valeurs seuil fournies par une organisation définissant des normes extrinsèques au moyen d'un moteur de certification. Le moteur de certification produit ensuite un rapport sur le statut de certification de la soudure.
PCT/US2012/065180 2012-11-15 2012-11-15 Certification d'une soudure produite par soudage par friction-malaxage Ceased WO2014077812A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/US2012/065180 WO2014077812A1 (fr) 2012-11-15 2012-11-15 Certification d'une soudure produite par soudage par friction-malaxage
CA2891368A CA2891368A1 (fr) 2012-11-15 2012-11-15 Certification d'une soudure produite par soudage par friction-malaxage

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2012/065180 WO2014077812A1 (fr) 2012-11-15 2012-11-15 Certification d'une soudure produite par soudage par friction-malaxage

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WO2014077812A1 true WO2014077812A1 (fr) 2014-05-22

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107876960A (zh) * 2017-10-30 2018-04-06 北京建筑大学 一种墙板修复设备信号控制系统
CN115903491A (zh) * 2022-11-15 2023-04-04 大连交通大学 一种基于神经网络的搅拌摩擦焊模糊控制算法
US20240009754A1 (en) * 2020-12-03 2024-01-11 Nippon Light Metal Company, Ltd. Joining device and joining method
US20240082900A1 (en) * 2016-11-08 2024-03-14 Nippon Steel Corporation Welding monitoring apparatus and welding monitoring method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003033873A (ja) * 2001-07-19 2003-02-04 Toshiba Corp 溶接装置
KR20050047232A (ko) * 2003-11-17 2005-05-20 주식회사 나인티시스템 용접 품질 검사 장치 및 방법
WO2009146172A2 (fr) * 2008-04-15 2009-12-03 Lockheed Martin Corporation Systèmes de commande pour soudage par friction-malaxage d'alliages au titane et d'autres matières à point de fusion élevé
US20100163601A1 (en) * 2008-12-31 2010-07-01 General Electric Company Friction weld vibration quality monitoring system
US7848837B2 (en) * 2007-04-02 2010-12-07 Hitachi, Ltd Method and apparatus for monitoring the quality of a machining operation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003033873A (ja) * 2001-07-19 2003-02-04 Toshiba Corp 溶接装置
KR20050047232A (ko) * 2003-11-17 2005-05-20 주식회사 나인티시스템 용접 품질 검사 장치 및 방법
US7848837B2 (en) * 2007-04-02 2010-12-07 Hitachi, Ltd Method and apparatus for monitoring the quality of a machining operation
WO2009146172A2 (fr) * 2008-04-15 2009-12-03 Lockheed Martin Corporation Systèmes de commande pour soudage par friction-malaxage d'alliages au titane et d'autres matières à point de fusion élevé
US20100163601A1 (en) * 2008-12-31 2010-07-01 General Electric Company Friction weld vibration quality monitoring system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240082900A1 (en) * 2016-11-08 2024-03-14 Nippon Steel Corporation Welding monitoring apparatus and welding monitoring method
US12459023B2 (en) * 2016-11-08 2025-11-04 Nippon Steel Corporation Welding monitoring apparatus and welding monitoring method
CN107876960A (zh) * 2017-10-30 2018-04-06 北京建筑大学 一种墙板修复设备信号控制系统
US20240009754A1 (en) * 2020-12-03 2024-01-11 Nippon Light Metal Company, Ltd. Joining device and joining method
US12459050B2 (en) * 2020-12-03 2025-11-04 Nippon Light Metal Company, Ltd. Joining device and joining method
CN115903491A (zh) * 2022-11-15 2023-04-04 大连交通大学 一种基于神经网络的搅拌摩擦焊模糊控制算法

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