作者: Tatjana V Sibalija , Sanja Z Petronic , Vidosav D Majstorovic , Andjelka Milosavljevic , None
DOI: 10.1007/S00170-014-5917-1
关键词:
摘要: Laser shock peening is an innovative surface treatment technique, which has been successfully applied to improve fatigue performance of metallic components. improves the morphology and microstructure material. In this paper, three Nd3+:YAG laser process parameters (voltage, focus position pulse duration) are varied in experiment, order determine optimal that could simultaneously meet specifications for seven correlated responses processed Nimonic 263 sheets. The modelling optimisation a were performed using advanced, problem-independent method. First, expressed Taguchi’s quality loss function, followed by application multivariate statistical methods uncorrelate synthesise them into single measure. Then, artificial neural networks used build model, simulated annealing was utilised find setting global continual space solutions. Effectiveness proposed method development robust proved comparison several commonly approaches from literature, resulting highest measure, most favourable response values corresponding optimum. Besides improved characteristics, optimised (LSP) showed improvement terms microhardness formation microstructural transformations.