文章摘要
郭巨寿,陶健全,康凤,等.发动机活塞裙铸造过程模拟及工艺优化[J].精密成形工程,2016,8(6):76-79.
GUO Ju-shou,TAO Jian-quan,KANG Feng,et al.Casting Process Simulation and Optimization of Engine Piston Skirt[J].Journal of Netshape Forming Engineering,2016,8(6):76-79.
发动机活塞裙铸造过程模拟及工艺优化
Casting Process Simulation and Optimization of Engine Piston Skirt
投稿时间:2016-10-28  修订日期:2016-11-10
DOI:10.3969/j.issn.1674-6457.2016.06.014
中文关键词: 活塞裙  铸造工艺  模拟  工艺优化
英文关键词: piston skirt  casting process  simulation  process optimization
基金项目:
作者单位
郭巨寿 北方通用动力集团有限公司山西 大同 037036 
陶健全 西南技术工程研究所重庆 400039 
康凤 西南技术工程研究所重庆 400039 
张雪冬 北方通用动力集团有限公司山西 大同 037036 
尹国华 北方通用动力集团有限公司山西 大同 037036 
王斌 北方通用动力集团有限公司山西 大同 037036 
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中文摘要:
      目的 优化发动机活塞裙铸件铸造工艺。方法 采用UG等软件设计活塞裙铸件浇注系统以及采用MAGMA铸造仿真软件对铸造工艺进行仿真预测,分析铸件凝固温度场,预测缩孔、疏松等铸造缺陷,进一步优化铸造工艺。结果 铸件整体上实现了自下而上的顺序凝固,虽然通过冒口获得了一定程度的补缩,但凝固温度梯度不明显,冒口疏松缺陷依然延伸至铸件上端面。通过合理设置冷铁,增加冒口和内浇口数量,从而实现铸件顺序凝固,使补缩效果更为明显,可有效降低缩孔、疏松缺陷。结论 采用MAGMA铸造仿真软件分析凝固过程并预测缺陷,通过改进和优化工艺,可以有效预防活塞裙铸件缺陷的产生,提高铸件合格率。
英文摘要:
      The paper aims to optimize the piston skirt casting process of engine. The casting system of piston skirts was designed by software such as UG and the casting process was simulated by MAGMA casting software to analyze the solidification temperature field of casting and predict casting flaws such as shrinkage cavity and porosity, to further improve the casting process. The results showed that the casting solidification as a whole was congealed from bottom to top. Although feeding was achieved by dead head, the temperature gradient of solidification was not obvious. Rarefaction defect of dead head was stretched to upper end surface of casting. By reasonable setting of chilling block, quantity of dead head and flow gate could be increased to achieve casting solidification in sequence, realize obvious effect of feeding and significantly reduce shrinkage cavity and porosity defect. MAGMA casting simulation software can be used to analyze solidification process and predict defect to effectively prevent casting defects and improve the qualification rate of casting by optimization and improvement of process.
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