您的位置: 标准下载 » 国际标准 » DIN 德国标准 »

DIN EN 681-1-1998 弹性密封件.给水排水用管道连接密封件的材料要求.第1部分:硫化橡胶

作者:标准资料网 时间:2024-05-19 01:58:08  浏览:9147   来源:标准资料网
下载地址: 点击此处下载
【英文标准名称】:Elastomericseals-Materialrequirementsforpipejointsealsusedinwateranddrainageapplications-Part1:Vulcanizedrubber;GermanversionEN681-1:1996+A1:1998
【原文标准名称】:弹性密封件.给水排水用管道连接密封件的材料要求.第1部分:硫化橡胶
【标准号】:DINEN681-1-1998
【标准状态】:作废
【国别】:德国
【发布日期】:1998-12
【实施或试行日期】:
【发布单位】:德国标准化学会(DIN)
【起草单位】:
【标准类型】:()
【标准水平】:()
【中文主题词】:
【英文主题词】:
【摘要】:
【中国标准分类号】:J22
【国际标准分类号】:23_040_80
【页数】:19P;A4
【正文语种】:德语


下载地址: 点击此处下载
【英文标准名称】:Gymnasticequipment.Asymmetricbars.Functionalandsafetyrequirements,testmethods.
【原文标准名称】:体操器材.高低杠.功能和安全要求、试验方法
【标准号】:NFS52-302-1996
【标准状态】:作废
【国别】:法国
【发布日期】:1996-05-01
【实施或试行日期】:1996-05-20
【发布单位】:法国标准化协会(FR-AFNOR)
【起草单位】:
【标准类型】:()
【标准水平】:()
【中文主题词】:
【英文主题词】:Accidentprevention;Asymmetricbars;Gymnasticequipment;Gymnasticsequipment;Leisureequipment;Marking;Parallelbars(gymnasticequipment);Rigidity;Safety;Safetyengineering;Safetyrequirements;Specification(approval);Sportsequipment;Stability;Strengthofmaterials;Testing
【摘要】:
【中国标准分类号】:Y55
【国际标准分类号】:97_220_30
【页数】:11P;A4
【正文语种】:其他


Product Code:SAE AIR6553
Title:Measurement Uncertainty and Consumer Risk
Issuing Committee:E-25 General Standards For Aerospace And Propulsion Systems
Scope:This document addresses measurement uncertainty and consumer risk as they relate to AS8879 thread inspection. It describes the rationale, theory and methodology used to generate the technical content of the AS5870. The document describes how to calculate measurement consumer risk. It documents all of the calculation methods which industry employs today to calculate what is commonly called measurement uncertainty (Appendices A, B, C, D, E and F). These, in turn, are used to calculate measurement uncertainty ratios which are required inputs to calculate measurement consumer risk. Users of this document can apply the information described herein for the evaluation of the capability of their measurements based on the measurement consumer risk. It involves the analysis of the measurement (product) distribution and biases of both the product and measurement system distributions. It protects the consumer from the worst case distribution results.