Temperature-Based Prediction of Joint Hardness in TIG Welding of Inconel 600, 625 and 718 Nickel Superalloys
| Autor: | Jacek Górka, Wojciech Jamrozik, Tomasz Kik |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Materials science 02 engineering and technology Welding lcsh:Technology Article law.invention 020901 industrial engineering & automation law Linear regression TIG welding General Materials Science Inconel lcsh:Microscopy Joint (geology) lcsh:QC120-168.85 Inconel superalloys lcsh:QH201-278.5 lcsh:T Gas tungsten arc welding Metallurgy prediction 021001 nanoscience & nanotechnology hardness thermography Superalloy lcsh:TA1-2040 Thermography lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering 0210 nano-technology lcsh:Engineering (General). Civil engineering (General) lcsh:TK1-9971 |
| Zdroj: | Materials Volume 14 Issue 2 Materials, Vol 14, Iss 442, p 442 (2021) |
| ISSN: | 1996-1944 |
| DOI: | 10.3390/ma14020442 |
| Popis: | Welding is an important process in terms of manufacturing components for various types of machines and structures. One of the vital and still unsolved issues is determining the quality and properties welded joint in an online manner. In this paper, a technique for prediction of joint hardness based on the sequence of thermogram acquired during welding process is proposed. First, the correspondence between temperature, welding linear energy and hardness was revealed and confirmed using correlation analysis. Using a linear regression model, relations between temperature and hardness were described. According to obtained results in the joint area, prediction error was as low as 1.25%, while for HAZ it exceeded 15%. Future work on optimizing model and input data for HAZ hardness prediction are planned. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |