Dedicated friction welding machines are sturdy in order to handle large process forces but expensive. Thus, it is proposed to equip two axis CNC lathes with an add-on direct drive friction welding system as an affordable solution for occasional use. The first part to be welded is clamped on the lathe chuck, whilst the second part is clamped on a dedicated chuck on the tailstock. The latter is programmed to follow three phases: fast approach, friction and forging under constant axial force. The tailstock is moved linearly by a servo motor and controlled by a Programmable Logic Controller with force sensor feedback. The main process parameters are pressure and duration of friction and forging phases. A neural network has been set up based on data from research literature providing the respective parameter values to enter in the operator interface. Preliminary welding tests conducted on PVC and aluminum parts resulted in moderately acceptable mechanical properties and some material discontinuities pointing to a need for automatically identifying optimal processing parameters.
Authors
- George-Ch. Vosniakos,
- Stefanos Karavolos,
- Vaggelis Tzimas,
- Nikos Begiazis,
- Aris Kleftogiannis,
- Pantelis Galanos,
- dr inż. Marek Chodnicki link open in new tab ,
- Esther Pierron
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-031-74485-3_5
- Category
- Publikacja monograficzna
- Type
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language
- angielski
- Publication year
- 2024
