EFFECTS OF PRESSURE IN CONTINUOUS DRIVE FRICTION WELDING ON AISI 304 AND A36

Abstract

Friction welding is a connection by frictional heating due to the rotation of one metal against another metal under the influence of axial compression. This study aims to determine and analyse the effect of pressure on the shape of the welded connection, microstructure, tensile strength and hardness in Continuous Drive Friction Welding (CFDW). The materials used were AISI 304 and A 36 carbon structural steel with a diameter of 10 mm. The Forging pressure was given 3 MPa, 4 MPa, and 5 MPa, at a constant rotating speed of 2000 rpm. The results of friction welding at a pressure of 5 MPa formed a perfect, straight and neat welded connection and the particle structure solidified and shrunk resulting in the highest tensile strength value of 510.26 MPa and an average hardness of 83.67 HRB. Frictional welding at 3 MPa pressure showed a tensile strength value of 476.20 MPa and a compacted and elongated particle structure resulting in a straight but wavy welded connection with a hardness value of 81.00 HRB. Meanwhile, frictional welding at 4 MPa pressure showed a low tensile strength value of 459.32 MPa, the solid particle structure following the direction of rotation produced a broken connection forming two welding lines with a hardness value of 81.67 HRB.

Recommended articles

EFFECTS OF ADAPTIVE CONTROL OF THE DRILLING PROCESS

Karol Vasilko
Keywords: durability | cutting force | Machining Time | drilling | Machining

DETERMINATION OF STRESS AND DEFORMATION DURING LASER WELDING OF ALUMINIUM ALLOYS WITH THE PC SUPPORT

Jozef Mascenik, Slavko Pavlenko
Keywords: Simulation | deformation | stress | laser welding | Aluminium Alloys

THE INFLUENCE OF ANNEALING TEMPERATURE ON TENSILE STRENGTH OF POLYLACTIC ACID

Jiri Suder, Zdenko Bobovsky, Zdenek Zeman, Jakub Mlotek, Michal Vocetka
Keywords: additive manufacturing | 3D Print | tensile strength | fused filament fabrication | Polylactic Acid | annealing

TUNING PERCEPTION AND MOTION PLANNING PARAMETERS FOR MOVEIT! FRAMEWORK

Stefan Grushko, Ales Vysocky, Vyomkesh Kumar Jha, Robert Pastor, Erik Prada, Lubica Mikova, Zdenko Bobovsky
Keywords: optimization | tuning | manipulators | benchmark testing | MoveIt | perception | Motion planning