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模拟砂型铸造过程中A356铝合金的机械属性(粗糙度、强度和硬度)

Modelling the Mechanical Attributes (Roughness, Strength, and Hardness) of Al-alloy A356 during Sand Casting.

作者信息

Ishfaq Kashif, Ali Muhammad Asad, Ahmad Naveed, Zahoor Sadaf, Al-Ahmari Abdulrahman M, Hafeez Faisal

机构信息

Department of Industrial and Manufacturing Engineering, University of Engineering & Technology, Lahore 54890, Pakistan.

Department of Industrial Engineering, University of Engineering and Technology, Taxila 47080, Pakistan.

出版信息

Materials (Basel). 2020 Jan 28;13(3):598. doi: 10.3390/ma13030598.

Abstract

Sand-casting is a well established primary process for manufacturing various parts of A356 alloy. However, the quality of the casting is adversely affected by the change in the magnitude of the control variables. For instance, a larger magnitude of pouring velocity induces a drop effect and a lower velocity increases the likelihood of cold-shut and mis-run types of defects. Similarly, a high pouring temperature causes the formation of hot tears, whereas a low temperature is a source of premature solidification. Likewise, a higher moisture content yields microcracks (due to gas shrinkages) in the casting and a lower moisture content results in the poor strength of the mold. Therefore, the appropriate selection of control variables is essential to ensure quality manufactured products. The empirical relations could provide valuable guidance in this regard. Additionally, although the casting process was optimized for A356 alloy, it was mostly done for a single response. Therefore, this paper aimed to formulate empirical relations for the contradictory responses, i.e., hardness, ultimate tensile strength and surface roughness, using the response surface methodology. The experimental results were comprehensively analyzed using statistical and scanning electron microscopic analyses. Optimized parameters were proposed and validated to achieve castings with high hardness (84.5 HB) and strength (153.5 MPa) with minimum roughness (5.8 µm).

摘要

砂型铸造是制造A356合金各种零件的一种成熟的主要工艺。然而,控制变量大小的变化会对铸件质量产生不利影响。例如,较大的浇注速度会产生液滴效应,而较低的速度会增加冷隔和浇不足等缺陷出现的可能性。同样,较高的浇注温度会导致热裂的形成,而较低的温度是过早凝固的一个原因。此外,较高的含水量会使铸件产生微裂纹(由于气体收缩),而较低的含水量会导致铸型强度不足。因此,正确选择控制变量对于确保生产出高质量的产品至关重要。经验关系在这方面可以提供有价值的指导。此外,尽管铸造工艺针对A356合金进行了优化,但大多是针对单一响应进行的。因此,本文旨在使用响应面法为相互矛盾的响应(即硬度、极限抗拉强度和表面粗糙度)建立经验关系。通过统计分析和扫描电子显微镜分析对实验结果进行了全面分析。提出并验证了优化参数,以获得具有高硬度(84.5 HB)和高强度(153.5 MPa)且粗糙度最小(5.8 µm)的铸件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb55/7040807/eb0c0362efa0/materials-13-00598-g001.jpg

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