A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints
This paper presents a genetic algorithm modelling of temperature distribution during heating and cooling of AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints. The temperature distributions estimated in the joints using K-type thermocouples with the accuracy of ±⚟0.1°C. The ther...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01029.pdf |
| _version_ | 1818461074819645440 |
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| author | Winiczenko Radosław Sibicki Andrzej Skoczylas Paweł Trajer Jędrzej |
| author_facet | Winiczenko Radosław Sibicki Andrzej Skoczylas Paweł Trajer Jędrzej |
| author_sort | Winiczenko Radosław |
| collection | DOAJ |
| description | This paper presents a genetic algorithm modelling of temperature distribution during heating and cooling of AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints. The temperature distributions estimated in the joints using K-type thermocouples with the accuracy of ±⚟0.1°C. The thermocouples were installed in 1.2 mm holes at the periphery joint - 5, 10, and 15 mm from the weld interface. Temperature reading was performed with a digital thermometer with the requisition frequency of 1000Hz during friction welding. Maximum temperature measurements in the half-radius of the analysed joints were equal to 305°C and 324°C, for the AZ31B magnesium alloy and 7075 aluminium alloy specimens, respectively. Both temperature and increasing temperature gradient at the axial specimens were higher than those at the half-radius and periphery of the joints. The empirical models for heating T=a/b+exp(ct) and cooling phases T=a-btc were formulated by the authors of this study. These models used to describe the temperature curves of welding process. The goodness of fit of tested mathematical models to the experimental data was evaluated with the coefficient of determination R2. A nonlinear regression analysis was conducted to fit the models by genetic algorithm (GA) using computer program MATLAB. |
| first_indexed | 2024-12-14T23:40:22Z |
| format | Article |
| id | doaj.art-6518d3e04c9044d386a3e1a335472420 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T23:40:22Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-6518d3e04c9044d386a3e1a3354724202022-12-21T22:43:31ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011320102910.1051/e3sconf/201913201029e3sconf_polsita2019_01029A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded jointsWiniczenko Radosław0Sibicki Andrzej1Skoczylas Paweł2Trajer Jędrzej3Faculty of Production Engineering, Warsaw University of Life SciencesFaculty of Production Engineering, Warsaw University of Life SciencesFaculty of Production Engineering, Warsaw University of TechnologyFaculty of Production Engineering, Warsaw University of Life SciencesThis paper presents a genetic algorithm modelling of temperature distribution during heating and cooling of AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints. The temperature distributions estimated in the joints using K-type thermocouples with the accuracy of ±⚟0.1°C. The thermocouples were installed in 1.2 mm holes at the periphery joint - 5, 10, and 15 mm from the weld interface. Temperature reading was performed with a digital thermometer with the requisition frequency of 1000Hz during friction welding. Maximum temperature measurements in the half-radius of the analysed joints were equal to 305°C and 324°C, for the AZ31B magnesium alloy and 7075 aluminium alloy specimens, respectively. Both temperature and increasing temperature gradient at the axial specimens were higher than those at the half-radius and periphery of the joints. The empirical models for heating T=a/b+exp(ct) and cooling phases T=a-btc were formulated by the authors of this study. These models used to describe the temperature curves of welding process. The goodness of fit of tested mathematical models to the experimental data was evaluated with the coefficient of determination R2. A nonlinear regression analysis was conducted to fit the models by genetic algorithm (GA) using computer program MATLAB.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01029.pdf |
| spellingShingle | Winiczenko Radosław Sibicki Andrzej Skoczylas Paweł Trajer Jędrzej A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints E3S Web of Conferences |
| title | A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints |
| title_full | A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints |
| title_fullStr | A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints |
| title_full_unstemmed | A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints |
| title_short | A genetic algorithm modelling of temperature distributions in the AZ31B magnesium alloys with 7075 aluminium alloy friction welded joints |
| title_sort | genetic algorithm modelling of temperature distributions in the az31b magnesium alloys with 7075 aluminium alloy friction welded joints |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/58/e3sconf_polsita2019_01029.pdf |
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