首页> 外文会议>8th International Conference on Metal Forming, Sep 3-7, 2000, Krakow, Poland >Manufacture of aluminum automotive piston by semi-solid forming with a statistical approach
【24h】

Manufacture of aluminum automotive piston by semi-solid forming with a statistical approach

机译:通过统计方法半固态成型制造汽车铝制活塞

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In these days, manufacturing of many products related to automobile and airplane industry by semi-solid forming is increasing according to environmental and economical point of view. It is very important to find effects of forming variables on final products in semi-solid forming. Since the process parameters, in other words, forming variables in semi-solid forging have relatively high sensitivity on the quality of final product, the statistical methodology is reasonably adopted for optimization of the process parameters. In order to find the effects, however, many researchers and industrial technicians have depended upon too many types of experiments that require too much efforts and time. In the present study, a statistical approach in semi-solid forging process has been adopted to improve experimental efficiency, which means prediction of optimal forming condition from minimum numbers of experiments. Forming variables such as initial solid fraction, die temperature, and compression holding time were considered for manufacturing aluminum engine piston by semi-solid forging. Hardness and microstructure were inspected so that optimal forming condition was found by a statistical approach. In addition, experiment to make aluminum engine piston was performed under the optimal condition found by the statistical approach.
机译:如今,根据环境和经济的观点,通过半固态成型制造与汽车和飞机行业相关的许多产品的数量正在增加。在半固态成型中找到成型变量对最终产品的影响非常重要。由于工艺参数(即半固态锻造中的成形变量)对最终产品的质量具有较高的敏感性,因此合理地采用统计方法来优化工艺参数。但是,为了找到效果,许多研究人员和工业技术人员依赖于太多类型的实验,这些实验需要太多的精力和时间。在本研究中,采用半固态锻造过程中的统计方法来提高实验效率,这意味着可以从最少的实验次数中预测最佳的成形条件。对于通过半固态锻造制造铝制发动机活塞,要考虑诸如初始固体分数,模具温度和压缩保持时间之类的成型变量。检查硬度和微观结构,以便通过统计方法找到最佳成形条件。另外,在通过统计方法找到的最佳条件下进行了制造铝制发动机活塞的实验。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号