5th Pan American Conference for NDT 2-6 October 2011, Cancun, Mexico. Integration of the Ultrasonic Real-Time Spot Weld Monitoring System

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Integration of the Ultrasonic Real-Time Spot Weld Monitoring System Waldo J. Perez Regalado 1, Andriy M. Chertov 1, Roman Gr. Maev 1, Valdir Furlanetto 2. Abstract 1 The Institute for Diagnostic Imaging Research. University of Windsor, Windsor, Ontario, Canada. 2 Escola Politécnica, University of Sao Paulo Dept. of Mechatronics and Mechanical Systems Engineering Sao Paulo, Brazil perezr@uwindsor.ca, chertov@uwindsor.ca, maev@uwindsor.ca, valdir@weldingscience.com.br. The real-time ultrasonic spot weld monitoring system (by Tessonics Inc., Canada) is designed for unsupervised quality characterization. It comprises the ultrasonic transducer (probe) built into one of the welding electrodes and an electronics hardware unit which gathers information from the transducer, performs real-time weld quality characterization and communicates with the robot PLC. The integration of this technology into body in white production line requires development efforts to provide the proper maintenance of the system in the long run and to ensure the most efficient use of the obtained information. An extensive R&D work has been conducted with several customers on system integration. Such questions as what are the best ways to present the information about the weld quality, how does the robot behave in case bad weld is detected, how to better use statistics on the given information have been studied. New technology transition from the lab to the production environment is a big challenge. Robustness of every element, durability and longevity are the key issues and they need to be solved in order to run the technology in unsupervised mode. Some ways of remote monitoring of the system also need to be in place when dozens of units are installed around the plant. Finally, the information needs to be collected in one place to ensure the most efficient use of the technology. This article presents major steps taken to industrialize the prototype and make it a fully functional unit which fits production environment. Keywords: Ultrasonic Testing (UT), Welding, Spot Weld, Integration, Real-time 1. Introduction 5th Pan American Conference for NDT 2-6 October 2011, Cancun, Mexico Spot weld quality characterization has always been a subject of interest in industries like automotive where thousands of welds join the final product. Periodic destructive tests are common (peel test, metallographic analysis) to ensure that technological parameters are within the predefined limits. Recently these methods have been replaced by non-destructive methods like offline ultrasonic testing [1]. However the part to be inspected should be pulled out from the production line and scanned manually. Many efforts have been made to develop a real-time spot weld inspection or quality assurance system. Dynamic resistance measurements and electrode displacement monitoring have been studied and applied as realtime quality evaluation approaches; unfortunately, these techniques perform indirect quality estimation based on secondary parameter measurements. Ultrasonic methods have also been tried by many research groups starting from 1960s [2-5]. For different reasons, the methods did not make it to the industrial floor. Since 1960s resistance spot welding has experienced dramatic improvements such as robotization (and thus mechanical stabilization of the process), application of tip dressers (maintaining clean and consistent contact surfaces), use of servo motors, etc. At the same time, electronics hardware, ultrasonic transducer manufacturing technology, computers and software have been

improving at exponential rates. It became possible to achieve data acquisitions and processing speeds unimaginable only a decade before. For this reason, our group have put a lot of efforts to design a new ultrasonic method for real time spot weld inspection using modern tools and approaches. Preliminary studies showed that the dry ultrasonic contact between copper electrode and steel plate allow enough sound energy through the contact. This is made possible due to high electrode force pushing on the plate (500-1200 lb at contact area of 5-7 mm in diameter). Cooling water stream running inside the electrodes is used as a couplant to convey ultrasonic wave from the probe down into the copper electrode [6]. This paper describes the main principles and presents the evolution of the complete ultrasonic evaluation system (ultrasonic probe, acquisition electronics and software) as well as the major steps required to integrate the laboratory prototype into the production floor. 1.1 Main Principle An ultrasonic probe installed in one of the welding electrodes generates acoustic waves that travel through the cooling water stream, the copper electrode cap, the sheets of metal being welded and finally the opposite cap and electrode. If we listen to the received echoes using the same probe we will receive reflections from every boundary in the stack up. The area of interest is the area within the two sheets of metal being welded. With proper A-Scan gating we can focus on this area. Figure 1 shows a schematic of the set-up and a synthetic A-scan which outlines the key reflections. a) b) Figure 1 - Model of the ultrasound setup a) Setup b) Synthetic A-scan Several pulses are sent and received during the welding process. Before the current is on, the received A-Scans show three reflections corresponding to the upper face of the first plate, the interface between plates and the bottom of the second plate. These reflections are depicted in Figure 1b by reflections 1, 3 and 5 respectively. As welding progresses melting takes place causing the disappearance of reflection 3. As the molten nugget starts growing, difference in material properties causes appearance of two extra reflections (2 and 4) coming off the top and the bottom of the molten nugget. If we store the received A-Scans one after each other

and represent the amplitude of the pulses using a gray scale color map we can generate a B- Scan which can be seen as an ultrasonic signature of a welding process. Each column on the B-Scan corresponds to an A-Scan obtained at a certain time during the welding process. Figure 2 shows an example of a B-Scan where the A-Scans were acquired every 2 ms, in this image is clearly seen how melting and solidification takes place within the plates. Thus, the quality of the weld can be extracted from its ultrasonic signature [5]. 2. System Evolution 2.1 The Ultrasonic Probe Figure 2 - Ultrasonic B-Scan. One of the key aspects of the system is the ultrasonic probe. This probe should be integrated into the electrode without altering the welding process and the water flow through the electrodes. At the same time, the probe should be able to withstand high forces for a long time (it translates into millions of open/close cycles of the weld gun). Also all the wiring should be completely isolated to prevent any electromagnetic noise that the high currents or industrial environment may cause. The first probe shown in Figure 3a consisted of 14 components, the size of the probe was considerably large compared with the welding electrode. The first installation attempt in the production floor showed that the probe should be miniaturized. For that reason the probes showed in Figure 3b and Figure 3c were designed with 9 and 4 components respectively. After the installation of the probe shown in Figure 3c the feedback from the plant was that the probe should not have any external components in order to prevent damage during regular electrode maintenance. With this in mind, the designs shown in Figure 3d and Figure 3e were developed. This final design (Figure 3e) had success in the production plant however, to perform the installation of the probe, the actual welding electrode should be modified to retain the same length even with the probe installed. This disadvantage inspired the final design shown in Figure 3f where the ultrasound probe is incorporated directly into the welding electrode with no structural modification.

a) b) c) d) e) f) Figure 3 - Ultrasound probe evolution

2.2 The Signal Acquisition Equipment The first acquisition system was designed mainly for R&D and the use in the lab. The acquisition system consisted of a portable PC with a built-in pulser/receiver and an A/D converter (Figure 4a). Two extra connectors were added to the PC, one for the ultrasonic signal and another one to be able to externally trigger the acquisition system. Feedback from the industrial partner indicated that to be able to install the product at the plant, the acquisition system should be fixed in a work station on the production floor. With this idea in mind, the second version was designed as electronics box communicating with a PC through the parallel port (Figure 4b). Figure 4c shows the latest design which comprises a PC and electronics for ultrasonic scanning into a single unit. a) b) c) Figure 4 - Acquisition system evolution

2.2 Software and Communications The first software generation was designed to acquire and process individual weld scans for R&D purposes. The user was required to indicate when he was going to perform welding, the software only acquired and displayed the B-Scan (as explained in section 1.1); the quality of the weld was not assessed. For obvious reasons the software was not prepared to be integrated in production. To be practical enough, the software needed to perform continuous scanning, acquire the ultrasonic data every time when the external trigger was activated and display and save the quality evaluation of the weld. One of the main issues was that the software should be able to distinguish between different welds, therefore a communication between the software and the robot controller was needed. This communication was done using an external digital IO device. This device was connected to the PLC of the robot controller which indicated to our software the weld number the part number being welded. An example of a wiring schematic using this device can be found in section 3.3. All these requirements have been implemented in the second generation software. Now it was able to scan continuously and display on screen the quality of each weld with a green-yellow-red scheme indicating good, acceptable and bad quality as well as the part and the time when the weld was scanned. Figure 5 shows a screen shoot of the main window of the software. The software had a statistics module (Figure 6) where the user had access to the whole information of the welding process. The system had the ability of being controlled remotely from the local area network of the plant or anywhere in the world through internet. Figure 5 - Software screenshot One of the main drawbacks of this scheme was that in order to obtain the information of the welding process, the user needed to look at the screen of the software (locally or remotely) and also that each device was independent from each other, making the supervision of several welding robots a difficult task. To solve this issue the third software generation was

developed. In this generation the client-server methodology was implemented. In this scheme the device acquiring the ultrasonic signature of the weld (client) does not display the quality of the weld. Instead, the client acquires, process and stores the necessary information and updates a central database on the server. If several clients are installed, all the information is updated on the server. The statistics and monitoring software is installed on the server, the user is able to obtain global statistics or monitor each individual station (client) from the server software. 3. Installation of the System 3.1 Main Unit Figure 6 - Statistics module. The main unit is usually fixed next or inside of the robot controller. The unit is prepared to be fixed in any orientation (Figure 7) and designed to tolerate the harsh industrial environment (dust, high temperatures and electromagnetic noise). Figure 7 - Main unit installation

3.2 Ultrasonic Probe As was explained in section 2.1, the last generation ultrasonic transducer is built into the welding electrode. The installation of the transducer on the gun itself is exactly the same as for any other electrode. The inner water tube should be shortened to the length of the internal probe and the transducer/electrode should be inserted into the hex adaptor of the welding gun (Figure 8). Electrode cap installation and replacement is similar than with any other electrode. Once that the ultrasound transducer is installed, the next step is to run the coaxial cable provided with the system from the location of the main unit until the welding gun. Figure 8 - Ultrasonic probe installation 3.3 Communication with the Robot Controller The system is prepared to communicate with the most common network protocols (DeviceNet, Ethernet, etc) as well as with the most basic discrete IO communication. The system should be able to distinguish between different parts and welds, therefore the robot controller should send a signal to the system to indicate which part and weld is being processed. Once the quality evaluation has been performed the system provides feedback to the robot controller and informs the quality of the weld. Figure 9 shows an example for an 8 input and 8 output discrete IO communication. The robot controller sends the part number and weld number using 6 bits and the system provides the feedback to the robot controller using 5 bits. The communication protocol, number and configuration of bits depend totally on the application requirements.

weld weld weld weld trigger part part Robot Controller 0 1 2 3 4 5 6 7 Digital IO Device USB RIWA PC 0 1 2 3 4 5 6 7 bad good acceptable uncertain no read Figure 9 - Robot controller communication 4. Conclusions The system development is unimaginable without involvement of one or few industrial partners who help in transition of the new technology from the lab into production environment. The major steps of system evolution were presented together with the main installation stages required for the integration of the Real-Time Integrated Weld Analyzer (RIWA). The final version of the system consists of an ultrasonic probe built into the welding electrode and a robust independent main unit in charge of acquiring and processing the ultrasonic data to determine the quality of the weld. The installation and maintenance of the ultrasonic probe is similar to a regular welding electrode. Communication between the robot controller and the system can be achieved by any common network protocol as well as discrete IO. The system provides quality evaluation to 100% of the welds being produced by the robot. Since the quality of the weld is determined in real time, feedback provided by the system can be used to perform any action desired (send alerts, send notifications to maintenance personal, stop the production line, etc.). Communication between systems and a main server makes the monitoring of the whole production floor accessible in a single PC. The special software performs analysis and creates customized reports from the collected statistics.

Acknowledgements The authors would like to thank CONACYT for the financial support under scholarship 198975. References 1. A.A. Denisov, C.M. Shakarji, B.B.Lawford, R.Gr. Maev, J.M.Paille, Spot Weld Analysis with 2D Ultrasonic Array, Journal of Research of the National Institute of Standards and Technology, 109 (2): March-April 2004. 2. S. I. Rokhlin, S. Meng, and L. Adler, In-process ultrasonic evaluation of spot welds, Mater. Eval., vol. 47, pp. 935 943, 1989. 3. J. E. Sutter, In-process ultrasonic weld inspection and adaptive control, Sheet Metal Welding Conf. XI, Sterling Heights, MI, May 11 14, 2004. 4. R. P. Hurlebaus, Method of monitoring a welding operation, U.S. Patent 3,726,130, Dec. 9, 1970. 5. T. Okuda and M. Inada, Ultrasonic testing method and apparatus for resistance welding, U.S. Patent 4,099,045, Nov. 29, 1976. 6. R. Gr. Maev, A. Ptchelintsev. Monitoring of Pulsed Ultrasonic Waves Interaction With Metal Continuously Heated to the Melting Point, in Quantitative Non-destructive Evaluation-2000, edited by D. O. Thompson and D.E. Chimenti., AIP Conference Proceedings 557. Melville, New York, 2000, pp.1517-1524. 7. A. M. Chertov, R. Gr. Maev, Extraction of the Straight Line Segments from the Noisy Images as a Part of Pattern Recognition Procedure Proc. 5th International Workshop, Advances in Signal Processing for Non Destructive Evaluation of Materials Québec City (Canada),2-4 Aug. 2005.