events
AUTO EXPO 2020 – COMPONENTS
Sciemetric will be participating in Auto Expo 2020 – Components, organized by the Automotive Component Manufacturers Association of India (ACMA), Feb. 6-9, 2020.
7 production data gaps that are slowing down manufacturing engineers
5 considerations when automating your quality control process on the manufacturing line
Is machine vision data part of your IIoT strategy? It should be.
Machine vision images and related data can be used for much more than basic pass/fail determination during the process cycle. We get into how this data can be collected, correlated and analyzed will all other production data as part of a comprehensive IIoT strategy.
news
Sciemetric releases more powerful, robust sigPOD in-station process monitor
Sciemetric releases significant upgrades to its sigPOD 1200 series in-station process monitor. sigPOD is the universal hardware platform of the company’s process monitoring and quality management systems.
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Sciemetric releases Sciemetric Studio SE
Sciemetric releases a new addition to its family of manufacturing analytics software — Sciemetric Studio SE. The Sciemetric Studio suite enables manufacturers to easily visualize, review, report on, compare and analyze part data to improve quality and yield.
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Sentinel 3520
The Sentinel 3520 patented leak test technology delivers balanced accuracy, cycle time and Gage R in complex and challenging situations. Learn more.
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培训服务
Sciemetric 可以为您的员工提供标准和定制的专业培训,帮助您充分利用 Sciemetric 技术和设备。
Tags:solutions
Torque Testing and Torque Monitoring for Manufacturing
For torque testing in manufacturing, use Sciemetric’s sigPOD for operations from fastening and rundown to functional torque testing. The advanced digital process signatures provide accuracy and reliability to catch problems with assembly in real-time. Sciemetric enables the use of the part data from the torque tests, relating it to other part data for faster issue resolution.
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Resistance Weld Monitoring, Defect Detection & Analysis
Sciemetric’s sigPOD provides full monitoring and visibility into the weld manufacturing process for the most accurate defect detection. Learn more.
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