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The Importance of Sample Taking in Failure Analysis

The Importance of Sample Taking in Failure Analysi
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Regardless of the sophistication of the laboratory, the ability to determine the cause of a coating failure can depend on the type and quality of the samples. This paper discusses the type of samples needed and gives suggestions on how to obtain them. 

Product Number: 41207-392-SG
Author: Dwight G. Weldon
Publication Date: 2007
Industry: Coatings
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Regardless of the sophistication of the laboratory, the ability to determine the cause of a coating failure can depend on the type and quality of the samples. This paper discusses the type of samples needed and gives suggestions on how to obtain them. 

Regardless of the sophistication of the laboratory, the ability to determine the cause of a coating failure can depend on the type and quality of the samples. This paper discusses the type of samples needed and gives suggestions on how to obtain them. 

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An accurate and comprehensive coating failure analysis often hinges not only on the quality of the field investigation and the laboratory analysis but also on effective communication between the field analyst and the forensic laboratory. Several steps can be taken during a field investigation to ensure that samples of coating removed for laboratory analysis fairly represent the condition of the coatings and give the forensic laboratory the best possible chance of discovering the root cause of the coating failure. 
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ISBN: 07450 2007 CP
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Failure analysis methodology is applied to the principal mechanisms by which boiler tubes fail during service.  sThe failure analysis procedure, or methodology for evaluation, is provided in a step by step approach.  Among the case histories discussed are: fatigue, erosion, short-term overheating, and hydrogen damage.
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Product Number: 51300-09022-SG
ISBN: 09022 2009 CP
Author: Mark S. Schilling and Randy Nixon
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This paper discusses a classic example where the facts surrounding the failure of a lining system were ignored and undue reliance was placed on laboratory analysis. This “blind faith” in analytical data without a sound causal theory caused the failure analysts to disregard or overlook the obvious.
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