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Application Note | Avoiding Destructive Pull-Tests for Weld
Resistance welding is commonly used in medical device manufacturing to join two metal subcomponents together. In many cases the integrity of this joint is critical to the long term reliability of the device, such as, for example, the attachment of a wire lead within a pacemaker. Read the Application Note to learn how Sciemetric provides a solution to avoid these defects.
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Sciemetric Studio 宣传册 (Brochure)
Sciemetric Studio 是专门为制造业设计的一整套的下一代分析软件。该软件可使用户从Sciemetric QualityWorX 企业项目或本地项目中访问过程数据,包括标量数据点、数字过程签名和机器视觉数据和图像。Sciemetric Studio 拥有行业领先的数字过程签名分析功能,可使您快速发现问题部件引起的异常。基于 Nelson 规则的统计过程控制(SPC)也会为您显示在当前及过去未按照规范执行的一些过程。
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Application Note: Snap Ring Verification
Manufacturer adds reliable, automated verification to axle snap ring installation processes, reducing downtime and rework costs during vehicle assembly. Learn how.
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QualityWorX Datasheet
QualityWorX is a manufacturing analytics suite that automates the collection, storage, archiving, retrieval, analysis and reporting of test and assembly data for discrete manufacturing.
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QualityWorX 视觉化宣传册
制造商越来越多地将机器视觉系统用于质量检测,但鲜有人考虑到利用这些系统 处理图像和数据。人们总是觉得拍照并存储一个 pass(合格)/fail(不合格)状态 就足够了。但这样的信息其实难以访问并存储于电脑或生产线上的其他设备中,只能提供最基本的可追溯性。
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Sentinel 3520 Brochure
When you’re struggling to balance accuracy, cycle time and Gage R for a complex leak test, the Sentinel 3520 is up to the challenge.
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sigPOD Family Brochure
sigPOD is an in-station process monitoring platform that uses advanced signature analysis to track manufacturing processes, deliver real-time pass/fail feedback and the most advanced defect detection.
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sigPOD 宣传册
sigPOD 是站内过程监控平台,利用高级信号分析来追踪制造过程,实时提供合格/不合格反馈,以及进行最先进的缺陷检测。通过单一平台上标准化的测试零件和过程监控,提高效率并削减开支。工厂人员可将重点放在提高装配线的质量和生产率上,而不是花时间学习和管理各种不同类型的系统。
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sigPOD PSV Datasheet
Sciemetric’s sigPOD is the industry’s most versatile and powerful test and monitoring platform. sigPOD can handle just about any application from simple press monitoring to complex, multi-stage functional tests. Learn more.
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Case Study: OEM unlocks its data to overcome costly production downtime
Despite understanding the value of production data and making an effort to collect it, a major international manufacturer of agricultural machinery lacked the tools to retrieve and analyze its data to quickly trace root cause when quality issues halted production. Read the case study to learn more.
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