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From Weld Resistance to Factor 1—How Sensors Stand Up to Challenging Welding Conditions
By Tony Udelhoven, Director of Sensors Division at TURCK
Ensuring each product is properly assembled before all components are welded together is at the heart of an error-proofing system for welding applications. Sensors assist in this process by providing accurate, high-speed detection. For instance, sensors can be used to confirm proper placement of metal car parts before they are fused together. Additionally, sensors can detect a robotic arm's position to determine if the welding mechanism is in the correct position for the current application. Error proofing reduces rejects, as well as the downtime and costs associated with rejected parts.
The type and quantity of sensors used varies by the application from a handful to several hundred, but the conditions these sensors must endure in welding environments remain consistently harsh: temperatures in excess of 1,200 degrees Fahrenheit, currents ranging from 15,000 to 35,000 Amps, and frequent weld flash occurrences. The combination can cause some sensors to fail as often as three of four times a day under severe conditions. Even a sensor designed for weld resistance may no longer function after 5,000 weld flashes—and if that sensor is placed within ten inches of a weld tip, it can easily experience 1,000 to 2,000 flashes per day.
As these sensors fail due to the harsh welding conditions, productivity suffers and manufacturers are forced to foot significant replacement and reinstallation costs. To combat these challenges, sensors have been designed with durable housings, encapsulated electronics and other construction features to help them deliver reliable, long-lasting operation in welding environments. These new sensors have allowed manufacturers to reliably error-proof production lines, without excessive downtime or high replacement costs.
Error-proofing the assembly line
On an automated production line, if metallic components are placed in the wrong order or orientation, the robotic welding arm may fuse these parts together incorrectly. Conversely, if a robotic clamp is positioned at the wrong angle while holding metal car parts waiting to be welded, it could result in a rejected automotive component. Examining a single component—such as a sheet of metal—is just as crucial, as if it does not contain all the nuts, bushings or spacer sleeves needed in order to complete the assembly process, it will not be welded properly.
Proximity sensors can prevent rejects by detecting whether or not the correct components are in their proper places as the metal parts are transferred down the manufacturing line. Then, the sensors send a pass/fail output to initiate the welding process. In robotic clamping applications, a similar solution is used, but proximity sensors are also employed to detect whether the jaws or grippers are in the proper position (open or closed).
Delivering increased reliability and data collection capabilities, weld-resistant sensors feature rugged construction that allows them to be placed close to the cylinder on the robotic arm mechanism. The sensors can be configured to detect the piston's movement within the cylinder, which corresponds to the angle the jaws/grippers open, and signal the gripper to open to the precise position required. Meanwhile, another sensor—placed into a groove within the actual jaw/gripper—confirms the held component is moved to the proper location. This custom embedding serves the dual purpose of protecting the sensor from environmental conditions and providing complementary error proofing for part-in-place applications.
Some magnetic-inductive sensors can be used to identify smaller components such as weld nuts or bushings on sheet metal, as the sensors can be programmed to differentiate between the nut or bushing and the sheet metal on which it is placed. These sensors offer simplified installation—they are mounted through holes in the sheet metal—and when a weld nut is present, the sensor produces an output that signals the welding process to begin. With simple "go/no go" operation and IP67 housings optimized for welding environments, these sensors can deliver a more robust and cost-effective solution than optical or vision-based systems.
Long operational life in harsh conditions
Sensors require varying levels of weld resistance depending upon their proximity to the welding mechanism. Ideally, a sensor positioned within inches of weld tips should withstand 10,000 to 20,000 flashes without failure—a performance level that is hard to reach due to the strong electromagnetic fields weld flashes produce. These weld flashes can cause a proximity sensor to falsely trigger, while weld slag or spatter in the application environment simultaneously accumulates and eventually causes the sensor to malfunction. Withstanding these environmental elements requires a combination of specialized construction and numerous protection techniques.
Sensors featuring temperature compensation offer weld resistance by providing reliable operation in high temperature welding environments. To resist mechanical damage, sensors can be constructed with a stainless steel front cap design and copper housing. Some manufacturers may employ proprietary weld resistant material on the sensor body to ensure the sensor face, which is most often directly exposed to weld flash, withstands slag and spatter and that the housing resists the electromagnetic field.
By incorporating fitted steel covers into the sensor housing prior to sealing the sensor, manufacturers can make the sensor impervious to physical damage from the side and weld damage from the front when combined with weld resistant front caps or coatings. Also, users can employ stainless steel sleeves to cover the sensor and help protect it from mechanical damage in welding areas.
Benefits of factor 1 sensing in welding applications
To further minimize sensor replacement costs, factor 1 sensors provide universal usability—they are easily applied in multiple applications, saving costs over purchasing specialized sensors only applicable in certain production areas—and combine it with exceptional EMI resistance.
Factor 1 sensors can detect aluminum, stainless steel, mild steel, copper, lead, brass and other metals at the same rated distance, eliminating the need to reposition the sensor for each new material. Standard proximity sensors detect ferrous and non-ferrous metals at different distances—and this adjustment (known as the correction factor) requires additional labor and downtime for reinstallation. This is of higher consequence in welding applications. If the sensor must be moved closer to the welding mechanism to provide proper detection, it is consequently more susceptible to weld flash and at higher risk of physical damage.
By using separate, independent sender and receiver coils on a PCB, rather than a single coil like standard proximity sensors, factor 1 sensors can detect ferrous and non-ferrous metals at the same range without adjustment and provide a longer overall sensing range. As they can be used with a broad range of metals in a wider variety of applications, factor 1 sensors additionally reduce sensor inventories.
The majority of factor 1 sensors are designed without a ferrite core, making them inherently immune to magnetic field interference. These sensors are therefore especially suited for electric welding operations, lifts and electronic furnaces, and the design allows factor 1 sensors to operate at a higher switching frequency.
The coil technology used in factor 1 sensors contributes to their mounting flexibility by allowing or limited or fully recessed mounting—with no or only a slight decrease in sensing range—further reducing the risk of physical damage. Many standard proximity sensors are non-embeddable and thus more susceptible to mechanical damage from the application environment. Because factor 1 sensors can be incorporated into multiple housing styles, they are also easier to use in areas where space is at a premium, such as under a conveyor belt.
Design features ranging from weld resistance to factor 1 technology allows many sensors to provide reliable, long-lasting operation in even the most challenging welding applications. By reducing downtime and replacement costs while error-proofing operations, these sensor solutions optimize production right on the plant floor—despite harsh conditions.
About the Author
TURCK is an industry leader providing superior quality sensing, connectivity and network products to help manufacturers improve their automated processes.
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Parking Sensors $76.47 High Quality Content by WIKIPEDIA articles Parking sensors are proximity sensors for road vehicles which can alert the driver to unseen obstacles during parking manoeuvres.The ultrasonic sensors are currently available in several brands of cars, with a variety of brand names such as Parktronic and Parking Aid. Some systems are also available as additional upgrade kits for later installation.Parking sensor systems use ultrasonic proximity detectors embedded in the front and/or rear bumpers, to measure the distances to nearby objects at low level. The sensors measure the time taken for each sound pulse to be reflected back to the receiver. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 100 Publication Date: 2010/10/17 Language: English Dimensions: 9.02 x 5.98 x 0.24 inches |
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Intelligent Sensors $182 Sensors are the front end devices for information acquisition from the natural and/or artificial world. Higher performance of advanced sensing systems is achieved by using various types of machine intelligence. Intelligent sensors are smart devices with signal processing functions shared by distributed machine intelligence. Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. The processing also lightens the load of signal transmission through the neural network, the capacity of which is limited. Although the performance of the receptors in our human sensory system is not always ideal and is frequently inferior to that of man-made sensors, the total performance is usually far superior to those of our technical sensing systems. The weak points of human receptors are masked by the information processing. This processing makes our sensory system adaptable to the environment and optimizes system performance. The basic idea of this book, which contains new computing paradigms, is that the most advanced intelligent sensing system is the human sensory system. Section I reviews the technologies of intelligent sensors and discusses how they developed. Typical approaches for the realization of intelligent sensors emphasizing the architecture of intelligent sensing systems are also described. In section II, fundamental technologies for the fabrication of intelligent sensors and actuators are presented. Integration and micro-miniaturization techniques are emphasized. Section III presents advanced technologies approaching human sensory systems, these technologies are not directly aimed at practical applications, but introduce the readers to the development of engineering models of sensory systems. Technologies of integrated intelligent sensors, which will shortly be in use are introduced in section IV. In section V, examples are given of intelligent sensing systems which are used in industrial installations. Hardware for machine intelligence is not integrated at present, but can soon be implemented in the monolithic integrated structure. Without this machine intelligence, new functions, for example, self diagnosis or defects identification, cannot be realized. This section also demonstrates the potential of intelligent sensors in industry. Section VI introduces two interesting topics which are closely related to intelligent sensing systems. The first one is multisensor fusion. It is expected to be one of the fundamental and powerful technologies for realizing an advanced intelligent sensing systems. The second is visualizing technology of the sensed states for easy comprehension of the |
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Sensors $390 'Sensors' is the first self-contained series to deal with the whole area of sensors. It describes general aspects, technical and physical fundamentals, construction, function, applications and developments of the various types of sensors. This is the first of two volumes focusing on chemical and biochemical sensors providing definitions, typical examples of chemical and biochemical sensors and historical remarks. It describes chemical sensor technologies and interdisciplinary tasks in the design of chemical sensors. The major part consists of a description of basic sensors. They include electrolyte sensors, solid electrolyte sensors, electronic conductivity and capacitance sensors, field effect sensors, calorimetric sensors, optochemical sensors, and mass sensitive sensors. This volume is an indispensable reference work for both specialists and newcomers, researchers and developers. |
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Piezoelectric Sensors $329 Chemically and biologically functionalized piezoelectric sensors are attractive alternatives to surface-sensitive transducers due to their surpassing versatility. Part of the "Springer Series on Chemical Sensors and Biosensors", this volume includes a comprehensive theoretical treatment and applications of the quartz crystal microbalance (QCM). |
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Optical Sensors $175 Providing an overview of the necessary components and the range of applications from light-barriers to high-resolution surface-scanning interferometers, this is a valuable introduction to the technology of optical sensors as well as a reference for experienced practitioners. The first part of the book introduces readers to the basics of sensor principles by describing the most important components that can be found in all optical sensors. Based on this opto-electronic toolbox, the second part then goes on to give numerous examples of optical sensors with respect to their applications. |
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