Estimating the fatigue stress concentration factor of machined surfaces

In this study the effects of surface texture on the fatigue life of a high-strength low-alloy steel were evaluated in terms of the apparent fatigue stress concentration. An abrasive waterjet was used to machine uniaxial dogbone fatigue specimens with specific surface quality from a rolled sheet of AISI 4130 CR steel. The surface texture resulting from machining was characterized using contact profilometry and the surface roughness parameters were used in estimating effective stress concentration factors using the Neuber rule and Arola-Ramulu model. The steel specimens were subjected to tension-tension axial fatigue to failure and changes in the fatigue strength resulting from the surface texture were assessed throughout the stress-life regime (10(3) less than or equal to N-f less than or equal to 10(6) cycles). It was found that the fatigue life of AISI 4130 is surface-texture-dependent and that the fatigue strength decreased with an increase in surface toughness. The fatigue stress concentration factor (K-f) of the machined surfaces determined from experiments was found to ran-e from 1.01 to 1.08. Predictions for the effective fatigue stress concentration ((K) over bar (f)) using the Arola-Ramulu model were within 2% of the apparent fatigue stress concentration factors estimated from experimental results. (C) 2002 Published by Elsevier Science Ltd.