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Consolidate Manufacturing Data for Quick, Industry 4.0 Insight
From the production floor to the enterprise, Sciemetric data experts bring decades of experience and innovative approaches to capturing, storing and analyzing part data for faster issue resolution and increased yield, quality, and productivity.
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Machine Vision Brochure
QualityWorX Vision enables the collection and storage of historical records for images and image data in a centralized location, whether for a single station or an entire production line. More importantly, it provides the tools to enable manufacturers to analyze and trend data to improve quality and productivity.
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QualityWorX Brochure: Data Management and Manufacturing Analytics
Industry 4.0 is not just about collecting data. It’s about collecting the right data and being able to do more with it – something that makes a difference to quality, productivity and customer satisfaction. Sciemetric’s Data Management and Manufacturing Analytics solution includes all the key elements necessary for data-driven decision-making.
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Application Note | Power Steering Pump Assembly: Force Versus Distance Process Monitoring
A faulty pulley being incorrectly pressed onto the pump shaft resulted in faulty power steering pumps. The manufacturer required a cost-effective solution to verify that the pulley was securely pressed into the pump shaft prior to final assembly. In one case, Sciemetric’s press monitoring system was installed to find the defects before final assembly by performing various tests with each part including press force, and pulley height checks during assembly, providing detailed signatures of the press, position while storing all data for complete traceability. Read the Application Note to learn more.
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Application Note | Power Steering Pump Tube Press: Verification Of Tube Press Into Power Steering Pump
An automotive parts manufacturer was unable to verify that the tube insertion process was free of defects to avoid potential power steering failures in the field. A sigPOD press monitor was configured to monitor press load versus distance and successfully detects defects in-process such as too large insertion hole, loose tube and debris. Read the Application Note to learn more.
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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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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 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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数据管理与制造用分析咨询
从生产车间到企业,Sciemetric 数据专家凭借数十年的经验和创新方法,可以捕获、存储和分析零件数据,从而更快解决问题,提高产量、质量和生产力。
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