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作 者:王成军[1] 李环宇 WANG Cheng-jun;LI Huan-yu(School of Artificial Intelligence,Anhui University of Science and Technology,Huainan 232001,Anhui,China)
机构地区:[1]安徽理工大学人工智能学院,安徽淮南232001
出 处:《铸造》2024年第9期1286-1291,共6页Foundry
基 金:2022安徽省自然科学基金面上项目(2208085ME128);2022安徽省同心科创工程项目(202206e08020005)。
摘 要:矿用平板车车轮铸件结构复杂,在熔模铸造过程中经常会产生缩松缩孔等缺陷。通过数值模拟软件分析该铸件的浇注过程,结果显示在车轮轮辋底部存在较多缩松缩孔,严重影响了铸件质量。为降低该铸件的缩孔率,对工艺方案进行改进,同时针对浇注温度、浇注速度、型壳预热温度三个工艺参数进行优化。各个工艺参数之间对缩孔率的影响是相互的,通过正交试验获得最优工艺组合。优化后的工艺参数提升了车轮铸件的工艺质量和生产效率。The structure of mining flatbed wheel castings is complex,and defects such as shrinkage and shrinkage holes often occur in the process of investment casting.The pouring process of the casting was analyzed by numerical simulation software,and the results showed that there were many shrinkage holes at the bottom of the wheel rim,which seriously affected the quality of the casting.In order to reduce the porosity of the casting,the process scheme was improved,and the three process parameters of pouring temperature,pouring speed and shell preheating temperature were optimized.The influence of each process parameter on the porosity is mutual,and the optimal process combination is obtained through orthogonal tests.The optimized process parameters improve the process quality and production efficiency of wheel castings.
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