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Experimental Work on Possibilities to Predict Casting Defects in LPDC Brass Castings

机译:预测LPDC黄铜铸件铸造缺陷的可能性的实验工作

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In water tap production 0.5 mm of material needs to be ground off from the surface of LPDC (Low Pressure Die Casting) brass castings in order to remove the defects deteriorating the quality of later applied coating. In order to minimize the amount of removed material the causes of these defects need to be discovered and properly connected with the process parameter window. At Oras Oy foundry in Finland, nearly 100 castings were produced under actual process conditions. To monitor the process seven thermocouples were inserted into the die. Thermal camera was also used for monitoring the die conditions during the open time of the die. Castings were divided into sets of ten pieces for statistical reasons. A few key process parameters were selected based on the basis of earlier knowledge and they were systematically varied during casting experiments. Each cast piece was marked and later analysed in order to find the dependencies between detected defects and process parameters. Computer simulations of the process were conducted to study the possibility to use numerical simulations for defect prediction. It was found that shrinkage defects could be reasonably well predicted and the influence of the process parameters on their formation was also apparent. The predictability of surface defects, however, was poor and only indirect conclusions could be made. Observations were made using as cast, ground and polished and cut surfaces from certain sections of the castings. It is very difficult to make any conclusions on surface defect formation based on parameter variation. One reason probably is the too narrow process window, but several promising ideas on the influence of e.g. mould shape, temperature and composition of the graphite coating on the defect formation was discovered.
机译:在水龙头生产中,需要从LPDC(低压压铸)黄铜铸件的表面上接地0.5毫米的材料,以消除缺陷,使涂层涂覆的质量恶化。为了最小化除去的材料的量,需要发现这些缺陷的原因并与过程参数窗口正确连接。在芬兰的奥地斯Oy Foundry,在实际过程条件下生产了近100名铸件。要监控过程,将七个热电偶插入模具中。热相机还用于监测模具的开放时间期间的模具条件。速度分为十件组的统计原因。基于早期知识的基础选择了一些关键过程参数,并且在铸造实验期间系统地改变。每个铸件都被标记,后来分析,以便在检测到的缺陷和过程参数之间找到依赖关系。进行了计算机模拟,以研究使用数值模拟进行缺陷预测的可能性。有发现可以合理地预测收缩缺陷,并且过程参数对其形成的影响也是显而易见的。然而,表面缺陷的可预测性差,只能结论是差的。使用来自铸件的某些截面的铸造,地,接地和抛光和切割表面进行观察。基于参数变化,非常困难地对表面缺陷形成结论。一个原因可能是太狭窄的过程窗口,但有几个关于e.g的影响的有希望的想法。发现了缺陷形成上石墨涂层的模具形状,温度和组成。

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