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The purpose of this study was to use bridge curvature method (BCM) to quantify stress, while multiscale modeling with adaptive coarsening predicted distortions based on experimentally validated models. Taguchi method and response surface method were used to optimize process parameters (energy density, hatch spacing, scanning speed and beam diameter).

Laser powder bed fusion (LPBF) offers significant design freedom but suffers from residual stresses due to rapid melting and solidification. This study presents a novel approach combining multiscale modeling and statistical optimization to minimize residual stress in SS316L.

Optimal parameters were identified through simulations and validated with experiments, achieving an 8% deviation. This approach significantly reduced printing costs compared to traditional trial-and-error methods. The analysis revealed a non-monotonic relationship between residual stress and energy density, with an initial increase followed by a decrease with increasing hatch spacing and scanning speed (both contributing to lower energy density). Additionally, beam diameter had a minimal impact compared to other energy density parameters.

This work offers a unique framework for optimizing LPBF processes by combining multiscale modeling with statistical techniques. The identified optimal parameters and insights into the individual and combined effects of energy density parameters provide valuable guidance for mitigating residual stress in SS316L, leading to improved part quality and performance.

Given the rising popularity of mobile commerce among young consumers, this study aims to examine the effect of mobile applications service quality (MASQ), service convenience (SERCON) and satisfaction contributing to the retention of young consumers towards mobile applications.

Primary data were collected from 213 active online young smartphone users who have used mobile apps for shopping through a structured questionnaire. Structural equation modelling is used to analyse the data.

The results of this study reveal that both MASQ and SERCON strongly support satisfaction, which leads to the retention of young customers.

This study is one of the few relevant pieces of research that would benefit mretailers encompassing mobile commerce applications to improve their MASQ and SERCON with cutthroat competition in gaining and retaining young customers for shopping through smartphone applications.