[en] High performance engineering designs often entail multiple materials. This introduces manufacturing challenges, especially in designs composed of dissimilar metals and when welding is the only joining mechanism tolerated by mechanical or design conditions. In this context, a promising process for welding aluminium and steel plates in lap-joint configuration is the Friction Melt Bonding (FMB) process. In the FMB, a cylindrical non-consumable rotating tool is pressed against a steel plate, generating heat by friction. Under the steel plate is the aluminium plate, and under this a thicker plate that serves as mechanical support and heat sink. The generated heat is transmitted to the aluminium plate by conduction, and if accurately controlled, will partially melt the aluminium plate forming a melt pool of liquid metal.
The melt pool in the FMB process is visually inaccessible as it is trapped between the two dissimilar plates. In this context, numerical simulation is essential to support qualitative research on the FMB process or to predict behaviour in different fields of application. To simulate the process, this work proposes a partitioned methodology that combines PFEM (Particle Finite Element Method) and FEM. PFEM is used for modelling the aluminium plate, including phase change and convective flow within the melt pool. FEM, on the other hand, is used for the steel plate and the accompanying equipment, as they do not present complex multiphysics phenomena such as phase change. Simulation results were compared against experimental data and a good correlation was observed between the two approaches, at least for temperatures registered by thermocouples and the melt pool thickness.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.