Standards Worldwide
Standards Worldwide
Phone +49 30 58885700-07

Standard [CURRENT]

ASTM E 1942:1998

Standard Guide for Evaluating Data Acquisition Systems Used in Cyclic Fatigue and Fracture Mechanics Testing

Publication date
1998 reapproved: 2018
Original language
English
Pages
12

from 81.30 EUR VAT included

from 75.98 EUR VAT excluded

Format and language options

PDF download
  • 81.30 EUR

Shipment (3-5 working days)
  • 90.40 EUR

Monitor with the Standards Ticker

This option is only available after login.
Easily subscribe: Save time and money now!

You can also subscribe to this document - together with other important standards in your industry. This makes your work easier and pays for itself after a short time.

Sparschwein_data
Subscription advantages
Sparschwein Vorteil 1_data

Important standards for your industry, regularly updated

Sparschwein Vorteil 2_data

Much cheaper than buying individually

Sparschwein Vorteil 3_data

Useful functions: Filters, version comparison and more

Publication date
1998 reapproved: 2018
Original language
English
Pages
12
DOI
https://dx.doi.org/10.1520/E1942-98R18E01

Quick delivery via download or delivery service

Buy securely with a credit card or pay upon receipt of invoice

All transactions are encrypted

Short description
1.1 This guide covers how to understand and minimize the errors associated with data acquisition in fatigue and fracture mechanics testing equipment. This guide is not intended to be used instead of certified traceable calibration or verification of data acquisition systems when such certification is required. It does not cover static load verification, for which the user is referred to the current revision of Practices E 4, or static extensometer verification, for which the user is referred to the current revision of Practice E 83. The user is also referred to Practice E 467. 1.2 The output of the fatigue and fracture mechanics data acquisition systems described in this guide is essentially a stream of digital data. Such digital data may be considered to be divided into two types- Basic Data, which are a sequence of digital samples of an equivalent analog waveform representing the output of transducers connected to the specimen under test, and Derived Data, which are digital values obtained from the Basic Data by application of appropriate computational algorithms. The purpose of this guide is to provide methods that give confidence that such Basic and Derived Data describe the properties of the material adequately. It does this by setting minimum or maximum targets for key system parameters, suggesting how to measure these parameters if their actual values are not known.
ICS
19.060
DOI
https://dx.doi.org/10.1520/E1942-98R18E01
Loading recommended items...
Loading recommended items...
Loading recommended items...
Loading recommended items...