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Test of resistance to intergranular corrosion of stainless steels (Streicher test)


Reference of the ILC: CO16SS
References of test methods: ASTM A262 Practice B
Frequency: Each 3 years
Main characteristics Speed of corrosion, against § 2.1 of ISO 3251-1 (loss of mass in a fixed exposure time of 120h)
Other characteristics -
Caution: The number of determinations may be low for the secundary characteristics, what may make inefficient the comparison between laboratories
Determination of the assigned values (“true values” for each characteristic):
By statistical computation of the totality of the results with possible selection on competence criteria (accreditation, validation by a reference body, quantity of tests performed in the year), test to detect possible collusion, merging of results not obtained in reproductibility conditions, suppression of technically unvalid results.
Type of statistical computation:
Results are numerical. For each characteristic selected by the participant, 1 result shall be provided for each sample. The statistical computation will provide an assigned value with its attached uncertainty, values of standard deviations for repeatability, for reproductibility, limits of alerts for bias and repeatability of the participant, indiviual values for uncertainty of results of participants.
Number of samples per participant: 12
Product submitted to tests: Austenitic stainless steel
Type of samples: Bars
Approximate dimensions of samples: Ø12x45 mm
Specific preparation to be performed by the participant:  None (other than possible necessity to adapt dimensions of the test specimen to the equipment of the participant)
Special notice for this ILC: This ILC, which number of potential participants is low, is a continuation of the 2016 edition, using the same samples. The 2017 results will be merged with the 2016 ones to get a greater number of results, increase the accuracy of the assigned values and make the assessment more efficient. Consequently, the number of participants is limited by the availability of samples. Moreover, a participation is of low interest for those who participated in 2016.