COMPLETE PROCESS VISION IMPROVES PRODUCT QUALITY AND PROCESS EFFICIENCY WITH RAPID ROI

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COMPLETE PROCESS VISION IMPROVES PRODUCT QUALITY AND PROCESS EFFICIENCY WITH RAPID ROI

Goal: maximize product quality and yield, and reduce production costs.

not only improves operator safety, it also frees employees from tedious tasks.

Today’s leading aluminum suppliers strive to continuously improve their rolling processes to maximise product quality and yield, and to minimise production costs. For example, in the extremely competitive aluminum can business, producers seek to obtain the highest level of quality at the lowest price. For this reason, any technology that enables a supplier to produce the desired product with greater efficiency and yield—in other words at a lower cost would be highly desirable. With lower production costs, suppliers can achieve greater flexibility by balancing their sales price and sales volume to stay competitive. Even incremental improvements in process efficiency and yield can markedly impact profitability. Detecting and identifying defects prior to value-added downstream processes is one important way to reduce cost and ensure product quality. Ideally, the line supervisor would like to quickly identify where a defect originated within the process, or determine if the defect was actually created in a prior process. When production line problems are solved rapidly, downtime and scrap are minimised, and yield is maximised. In many situations, new worker safety requirements and machine guarding prevent operators from manually inspecting the strip while the line is in operation. As such, another way to reduce cost is to address the inspection challenges created when employees are physically isolated from machines. Enhancing manual inspection processes with vision technologies

Aluminum manufacturers also seek new aluminum applications. One such opportunity is the substitution of steel with specialized or premium quality aluminum to enable manufacture of lighter weight vehicles. For this application, end users require a more optically uniform, defect-free strip. To produce such a strip often requires next-generation inspection techniques. Though surface inspection systems are commonly used to examine metal strip, there is a critical need for advanced vision technologies that can pinpoint the exact location of an upstream process problem with greater speed and accuracy. Of course, any new vision technology chosen to address these trends is expected to produce a rapid return on investment (ROI).

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SURFACE INSPECTION

Current approach To achieve these goals, many aluminum suppliers have adopted surface inspection systems. These vision systems routinely and reliably detect surface defects and irregularities using various camera and lighting configurations including collimated, diffuse, or side lighting depending on the application. With collimated light, two sets of cameras capture the material surface from different angles thus enhancing defect detection. In real time, experienced operators can use the resulting images to aid in troubleshooting line problems. Engineering and quality departments aggregate and analyze the defect information in support of their longer term-process improvement

recommendations and decisionmaking. Customer service and order fulfillment departments often use the information to grade, allocate and price the product to the appropriate use and end-user. Advanced systems, such as SmartView® Metals with patented SmartLearn® Multi-Step Classifier, automatically classify defects and irregularities to give the operator more insight about the overall quality of the coil. However, even when using advanced systems, confirming the “why and where” of the problem can be a timeconsuming and imprecise task. When small defects occur in a very large strip, finding the source of the problem can be as difficult as “finding a needle in a haystack.” As a result, these defects can shut down a production process for hours. Though millions of miles of metal strip have been successfully examined by surface inspection systems, there remains a need to automatically, and thus more rapidly, pinpoint the exact location of an upstream process problem. A better solution: complete process monitoring speeds problem resolution The solution to the problem lies in the integration of high-resolution surface inspection at the line exit, with video cameras that are synchronized and strategicallyplaced throughout the line. To create this solution, software (SmartSync) is used to link highresolution surface inspection (SmartView) and web-based monitoring (SmartAdvisor™). The combination of capabilities produces a comprehensive view of the entire rolling process in which the visual synthesis of upstream and downstream events captured on video enable the


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