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Stress Analysis of Riveted Lap Joint

Suyogkumar W Balbudhe and S R Zaveri
Mechanical Department, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur (M.S.).

Abstract—This project deals with the stress analysis of riveted lap joints. The present work involves the appropriate configuration and characterization of these joints for maximum utilization. By using finite element method, stress and fracture analyses are carried out under both the residual stress field and external tensile loading. Using a two step simulation, riveting process and subsequent tensile loading of the lap joint are simulated to determine the residual and overall stress state. Residual stress state due to riveting is obtained by interference and clamping misfit method. By employing different interference and clamping misfit values, the effects of riveting process parameters on stress state are examined. Two cracks namely the semi elliptical surface crack at faying surfaces of plates and the quarter elliptical corner crack at rivet hole are the most widely observed crack types in riveted joints. Fracture analysis of cracked riveted joints is carried out by introducing these two crack types to the outer plate at a plane perpendicular to the loading. The finite element technique was used throughout the analysis of present work. The present work showed that riveted joints are superior in strengthening to the riveted joints. The riveted joint seems to strengthen and balance the stress and distributed uniformly. This improves the efficiency and life time of the riveted joints. Modeling is done by CATIA V 16.0 and analysis of riveted lap joint can be done by using ANSYS (Workbench) with a version of 14.0. FEM result can be analyzed with mathematical data.

Index Terms—Riveted lap joint, Ansys workbench V14.0, Finite element technique riveted lap joint, Ansys workbench V14.0, Finite element technique

Cite: Suyogkumar W Balbudhe and S R Zaveri, "Stress Analysis of Riveted Lap Joint," International Journal of Mechanical Engineering and Robotics Research, Vol.2 No.3, pp. 137-143, July 2013.