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In situ monitoring methods for selective laser melting additive manufacturing process based on images-A review 被引量:7
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作者 Bo Wu Xiao-yuan Ji +5 位作者 Jian-xin Zhou huan-qing yang Dong-jian Peng Ze-ming Wang Yuan-jie Wu Ya-jun Yin 《China Foundry》 SCIE CAS 2021年第4期265-285,共21页
Selective laser melting(SLM)has been widely used in the fields of aviation,aerospace and die manufacturing due to its ability to produce metal components with arbitrarily complex shapes.However,the instability of SLM ... Selective laser melting(SLM)has been widely used in the fields of aviation,aerospace and die manufacturing due to its ability to produce metal components with arbitrarily complex shapes.However,the instability of SLM process often leads to quality fluctuation of the formed component,which hinders the further development and application of SLM.In situ quality control during SLM process is an effective solution to the quality fluctuation of formed components.However,the basic premise of feedback control during SLM process is the rapid and accurate diagnosis of the quality.Therefore,an in situ monitoring method of SLM process,which provides quality diagnosis information for feedback control,became one of the research hotspots in this field in recent years.In this paper,the research progress of in situ monitoring during SLM process based on images is reviewed.Firstly,the significance of in situ monitoring during SLM process is analyzed.Then,the image information source of SLM process,the image acquisition systems for different detection objects(the molten pool region,the scanned layer and the powder spread layer)and the methods of the image information analysis,detection and recognition are reviewed and analyzed.Through review and analysis,it is found that the existing image analysis and detection methods during SLM process are mainly based on traditional image processing methods combined with traditional machine learning models.Finally,the main development direction of in situ monitoring during SLM process is proposed by combining with the frontier technology of image-based computer vision. 展开更多
关键词 selective laser melting(SLM) forming process IMAGES in situ monitoring molten pool region monitoring scanned layer and powder layer monitoring
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Additive manufacturing and foundry innovation 被引量:3
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作者 Yu-sheng Shi Jin-liang Zhang +11 位作者 Shi-feng Wen Bo Song Chun-ze Yan Qing-song Wei Jia-min Wu Ya-jun Yin Jian-xin Zhou Rui Chen Wei Zhou He-ping Jia huan-qing yang Hai Nan 《China Foundry》 SCIE CAS 2021年第4期286-295,共10页
Additive manufacturing is expected to transform and upgrade the traditional foundry industry to realize the integrated manufacturing and rapid and low-cost development of high-performance components with complex shape... Additive manufacturing is expected to transform and upgrade the traditional foundry industry to realize the integrated manufacturing and rapid and low-cost development of high-performance components with complex shapes.The additive manufacturing technology commonly applied in casting mold preparation(fusible molds,sand molds/cores and ceramic cores)mainly includes selective laser sintering(SLS)and binder injection three-dimensional printing(3DP).In this work,the research status of SLS/3DP-casting processes on material preparation,equipment development,process optimization,simulation and application cases in aerospace,automotive and other fields were elaborated.Finally,the developing trends of the additive manufacturing technology in the future of foundry field are introduced,including multi-material sand molds(metal core included),ceramic core-shell integration and die-casting dies with conformal cooling runners. 展开更多
关键词 additive manufacturing FOUNDRY selective laser sintering 3D printing multiple materials die-casting dies
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