Statistical Distribution Analysis of Mechanical Properties of a Welded Pipeline Steel API X70 and Correlation between Hardness and other Mechanical Characteristics
| Autor: | Hichem Farh, Farida Khamouli, Mosbah Zidani, L'hadi Atoui, Adel Saoudi |
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| Rok vydání: | 2017 |
| Předmět: |
High-strength low-alloy steel
Heat-affected zone Toughness Materials science Metallurgy 02 engineering and technology Welding engineering.material Submerged arc welding 020501 mining & metallurgy law.invention 0205 materials engineering law Vickers hardness test engineering Extreme value theory Weibull distribution |
| Zdroj: | International Journal of Engineering Research in Africa. 30:49-64 |
| ISSN: | 1663-4144 |
| DOI: | 10.4028/www.scientific.net/jera.30.49 |
| Popis: | The aim of this study is to model the distribution patterns of the different mechanical properties of a submerged arc welded pipeline steel API X70 and to investigate the relationship between Vickers hardness and other mechanical properties of API X70. In this study, serial mechanical properties of 70 pipes, formed by spiral submerged arc welding of high strength low alloy steel (HSLA) API X70, were measured in base metal and weldments. Four main statistical distributions: Normal, Log-normal, Weibull and smallest extreme value distributions were chosen to test the goodness of fit to the experimental data. As a result, normal and lognormal distributions can equally model the distribution patterns of the whole experimental data of studied mechanical properties except for the hardness and toughness of the base metal that can be approximated by Weibull and smallest extreme value distributions, respectively. Using the current data, a weak but statistically significant correlation is obtained only between the toughness of the fusion zone and the hardness of both the base metal and the heat affected zone. Consequently, the calculated regression models were unable to estimate impact toughness values based on future measures of Vickers hardness components. |
| Databáze: | OpenAIRE |
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