solutions
Profile Inspection for Surface Defects
Sciemetric enables non-contact profile testing that features real-time pass/fail analysis and far easier setup compared to vison systems, using lasers, linear encoders and rotary encoders, coupled with its sigPOD in-station process monitoring and data collection platform.
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Optimize Manufacturing Test Stations
Optimize your test stations and find where those precious seconds can be shaved to improve the yield and efficiency of a line with data analytics from Sciemetric.
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How to Eliminate Destructive Testing: Medical Manufacturing Whitepaper Series
Historically, medical products have been manufactured in batches or lots, with a sample of devices subjected to destructive, visual or audit testing to evaluate quality. More recently, however, a paradign shift has begun to take hold in medical device manufacturing, enabled by advances in measurement and data management technologies.
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The Art of the Possible in Medical Device Manufacturing Brochure
More and more medical device manufacturers are discovering the benefits of implementing Sciemetric’s unique process signature technology. It’s a proven alternative to subjective visual inspection or the wasteful and expensive end-of-line sample testing that’s traditionally used for quality assurance.
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sigPOD Press Datasheet
sigPOD Press is designed to monitor assembly press operations and provide real-time analysis of the data to identify defective parts, faulty press machinery, and out of control assembly processes. It measures force vs. time or force vs. distance signatures for each part cycle, and then analyzes the curve(s) in milliseconds to provide an instant pass/fail output for each press ram.
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How Using In-Process Test Waveforms Reduces Time for Process Optimization and Problem Diagnosis: Manufacturing Whitepaper Series
Part test and process monitoring systems are now commonplace on today's automated production lines. Savvy manufacturers are turning to waveform-based systems, not only for accurate pass/fail measurements to boost part quality but also to more efficiently manage their stations.
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Application Note | Manufacturing Wheelchair: Drive Motor Testing
A motorized wheelchair manufacturer was experiencing higher than usual returns and repairs due to excessive noise and vibration issues that were the result of imperfectly manufactured motors. Sciemetric’s sigPOD multi-channel measurement platform was installed and easily configured to fully characterize the noise and vibration characteristics of each motor assembly to find any of the defects that later affected customer satisfaction. Read the Application Note to learn more.
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Application Note: Automotive Oxygen Sensor Testing
Sciemetric’s sigPOD has easily configurable software to test sampling rates, precise triggers, waveform calculations and signature based checks. This system was applied on an automotive manufacturing line to test oxygen sensors that had been a challenge to test and monitor because resistance is changed immediately when power is applied. Read the Application Note to learn more.
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Application Note | Piston Cooling Nozzle Assembly: Test Verification Using Signature Analysis
Sciemetric’s process monitoring system was used to successfully detect piston cooling nozzle defects early in the assembly process. Detects all missing, blocked or obstructed cooling nozzles, measures high and low pressure and provides real-time ‘PASS’ or ‘FAIL’ results to the operator. Installation of the system resulted in the diesel engine manufacturer, decreasing end-of-line repair costs, customer warranty claims and more. Read the Application Note to learn more.
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Application Note | Piston Ring Verification System: Laser Gaging Using Signature Analysis
A manufacturer was experiencing problems with the inconsistent quality of their shipped engines, leading to customer complaints and expensive teardowns after engine hot/cold test. The problem was traced to improperly stacked compression rings. Sciemetric resolved the problem by installing our advanced laser gaging technology system to accurately detect even the slightest defects such as upside down, bent, and incorrect positioning of each compression ring. Read the Application Note to learn more.
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