版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Zhejiang Univ Sci & Technol Sch Mech & Energy Engn Hangzhou 310023 Peoples R China Zhejiang Prov Key Lab Food Logist Equipment & Tech Hangzhou 310023 Peoples R China Tongxiang Allied Machinery Co Ltd Tongxiang 314500 Peoples R China
出 版 物:《INTERNATIONAL JOURNAL OF METALCASTING》 (Int. J. Metalcast.)
年 卷 期:2025年
页 面:1-25页
核心收录:
学科分类:080503[工学-材料加工工程] 0806[工学-冶金工程] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金:National Natural Science Foundation of China National Natural Science Foundation of China [LY18E050007] Zhejiang Provincial Natural Science Foundation of China
主 题:inkjet bonding 3D printing sand casting printing parameters forming efficiency
摘 要:Inkjet-bonded 3D sand printing technology is becoming a more mature technology. The forming efficiency in the casting is especially important, and the forming efficiency includes printing efficiency, sand mold post-treatment efficiency, and casting forming efficiency. This study investigates the impact of inkjet-based 3D sand printing technology on the productivity of castings. By optimizing the printing parameters-layer thickness, recoating speed, X-resolution, and printhead jetting rate-the efficiency of the printing stage was improved, and predictive models were established for the printing stage, post-processing stage, and casting stage. The study found that layer thickness and recoating speed had a significant influence on printing time, while X-resolution and printhead jetting rate played a secondary role. Additionally, two sand mold designs, truss support structures and honeycomb structures, were introduced to enhance forming efficiency during the casting stage. The model was validated through an engine cylinder block case study, where the optimized parameters improved forming efficiency during the printing stage by 20.17%. The truss and honeycomb sand mold designs improved casting efficiency by 6.96% and 14.18%, respectively. Verification experiments conducted on sixteen printing groups showed that the predictive model for 3D sand casting forming efficiency achieved an accuracy of 94.88%.