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Hybrid heat-source solid-state additive manufacturing: A method to fabricate high performance AA6061 deposition
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作者 Qian Qiao Chan Wa Tam +9 位作者 Wai I Lam Kaiyuan Wang Dawei Guo Chi Tat Kwok Yongyong Lin Guoshun Yang Hongchang Qian Dawei Zhang Xiaogang Li Lap Mou Tam 《Journal of Materials Science & Technology》 2025年第25期107-124,共18页
An approach called hybrid heat-source solid-state additive manufacturing (HHSAM) for fabricating multilayer AA6061 deposition with superior properties is proposed in this paper. As compared with the traditional additi... An approach called hybrid heat-source solid-state additive manufacturing (HHSAM) for fabricating multilayer AA6061 deposition with superior properties is proposed in this paper. As compared with the traditional additive friction stir deposition (AFSD), the auxiliary induction heat-source in HHSAM effectively improves the temperature and fluidity of plastic flow, which facilitates the formation and enrichment of residual Mg_(2)Si phases besides Al(Fe,Mn)Si, promotes the dynamic recrystallization and increases the bonding strength between layers during the deposition process. Therefore, the HHSAM depositions possess a more uniform structure, superior integral mechanical properties and corrosion resistance after heat treatment process. Moreover, HHSAMed specimens avoid abnormal grain growth (AGG) in heat treatment process, which is regularly encountered in the traditional AFSD. HHSAM method is proved to be a new solid-state additive manufacturing method with good developing prospects for fabricating alloy production with excellent properties in a high-efficiency manner. 展开更多
关键词 Hybrid heat-source solid-state additive manufacturing Additive friction stir deposition Mechanical properties Corrosion resistance
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Analytical Modeling of Selective Laser-Melting Temperature of AlSi10Mg Alloy
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作者 Xiaobo Yang Zhihui Zhang +6 位作者 Man Zhao Bo Qian Jian Mao Gang Liu Liqiang Zhang Yixuan Feng Steven Y.Liang 《Additive Manufacturing Frontiers》 2025年第3期169-181,共13页
Selective laser melting(SLM)plays a critical role in additive manufacturing,particularly in the fabrication of complex high-precision components.This study selects the AlSi10Mg alloy for its extensive use in the aeros... Selective laser melting(SLM)plays a critical role in additive manufacturing,particularly in the fabrication of complex high-precision components.This study selects the AlSi10Mg alloy for its extensive use in the aerospace and automotive industries,which require lightweight structures with superior thermal and mechanical properties.The thermal load induces residual tensile stress,leading to a decline in the geometric accuracy of the workpiece and causing cracks that reduce the fatigue life of the alloy.The rapid movement of the laser heat source during the material formation creates a localized and inhomogeneous temperature field in the powder bed.Significant temperature gradients are generated,resulting in thermal stresses and distortions within the part,affecting the quality of the molding.Therefore,understanding the effects of processing parameters and scanning strategies on the temperature field in SLM is crucial.To address these issues,this study proposes a multiscale method for predicting the complex transient temperature field during the manufacturing process based on the heat-conduction equation.Considering the influence of temperature on the material properties,a temperature-prediction model for discontinuous scanning paths in SLM and a temperature field-calculation model for irregular scanning paths are developed.The models are validated using finite-element results and are in excellent agreement.The analytical model is then used to investigate the effects of the laser power,scanning speed,and scanning spacing on the temperature distribution.The results reveal that the peak temperature decreases exponentially with increasing scanning speed and increases linearly with increasing laser power.In addition,with increasing scanning spacing,the peak temperature of the adjacent tracks near the observation point decreases linearly.These findings are critical for optimizing the SLM-process parameters and improving the material-forming quality. 展开更多
关键词 Analytical model Selective laser melting Temperature distribution heat-source modeling AlSi10Mg alloy Scanning strategy
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