Abstract:
The energy and power industry conventionally depends on large-scale turbomachinery to meet the ever-growing global energy demands. However, unplanned in-service failures remain a threat to sustainability with safety and economic consequences. The laser shock surface treatment technique is being considered a competitive alternative in mitigating crack initiation and growth, wear and fatigue of industrial components such as turbine blades. This paper presents the modelling and optimization of laser shock treatment parameters using numerical methods and commercial codes such as ABAQUS® and MATLAB®. Model-based process optimization parameters for the induction of global optimum compressive residual stress distribution in laser-worked Chromium-12 based high strength steel alloy (X12Cr) turbine blade is established, showing parametric combinations of inputs variables within the domain under investigation, yielding maximized CRS outputs. A hierarchy of significance of the input parameters to the laser shock peening process for stress induction has also been put forward as an outcome of this study. The capacity to predict and analyze outcomes before actual treatment of the components is beneficial and imperative to cutting costs, downtimes and other economic losses associated with unplanned failure of these components.
