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3D打印聚乙烯反应器共混物中的晶体织构演变

Crystallographic Texture Evolution in 3D Printed Polyethylene Reactor Blends.

作者信息

Movva Sahitya, Schirmeister Carl G, Hees Timo, Tavakoli David, Licht Erik H, Mülhaupt Rolf, Garmestani Hamid, Jacob Karl I

机构信息

School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

Intel Corporation, 2501 NE Century Blvd, Hillsboro, Oregon 97124, United States.

出版信息

ACS Omega. 2024 May 1;9(19):21016-21034. doi: 10.1021/acsomega.4c00387. eCollection 2024 May 14.

Abstract

In this work, crystallographic texture evolution in 3D printed trimodal polyethylene (PE) blends and high-density PE (HDPE) benchmark material were investigated to quantify the resulting material anisotropy, and the results were compared to materials made from conventional injection molded (IM) samples. Trimodal PE reactor blends consisting of HDPE, ultrahigh molecular weight PE (UHMWPE), and HDPE_wax have been used for 3D printing and injection molding. Changes in the preferred orientation and distribution of crystallites, i.e., texture evolution, were quantified utilizing the wide angle X-ray diffraction through pole figures and orientation distribution functions (ODFs) for 3D printed and IM samples. Since the change in weight-average molecular weight () of the blend was expected to significantly affect the resulting crystallinity and orientation, the overall of the trimodal PE blend was varied while keeping the UHMWPE component weight fraction to 10% in the blend. The resulting texture was analyzed by varying the overall of the trimodal blend and the process parameters in 3D printing and compared to the texture of conventional IM samples. The printing speed and orientation (defined with respect to the axis along the length of the samples) were used as the variable process parameters for 3D printing. The degree of anisotropy increases with an increase in the nonuniform distribution of intensities in pole figures and ODFs. All the highest intensity major texture components in IM and 3D printed samples (0° printing orientation) of reactor blends are observed to have crystals oriented in [001] or [001̅]. Overall, for the same throughput, 3D printed samples in the 0° orientation showed greater texture evolution and higher anisotropy compared to IM samples. Most notably, an increase in 3D printing speed increased the crystalline distribution closer to the 0° direction, increasing the anisotropy, while deviation from this printing orientation reduced crystalline distribution closer to the 0° direction, thus increasing isotropy. This demonstrates that tailoring material properties in specific directions can be achieved more effectively with 3D printing than with the injection molding process. Change in the overall of the trimodal PE blend changed the preferential orientation distribution of the crystal planes to some degree. However, the degree of anisotropy remained the same in almost all cases, indicating that the effect of molecular weight distribution is not as significant as the printing speed and printing orientation in tailoring the resulting properties. The 3D printing process parameters (speed and orientation) were shown to have more influence on the texture than the material parameters associated with the blend.

摘要

在这项工作中,研究了3D打印的三峰态聚乙烯(PE)共混物和高密度聚乙烯(HDPE)基准材料中的晶体学织构演变,以量化由此产生的材料各向异性,并将结果与​​传统注塑(IM)样品制成的材料进行比较。由HDPE、超高分子量PE(UHMWPE)和HDPE蜡组成的三峰态PE反应器共混物已用于3D打印和注塑成型。利用广角X射线衍射通过极图和取向分布函数(ODF)对3D打印和IM样品的微晶择优取向和分布变化(即织构演变)进行了量化。由于预计共混物的重均分子量()变化会显著影响结晶度和取向,因此在保持共混物中UHMWPE组分重量分数为10%的同时,改变了三峰态PE共混物的总体。通过改变三峰态共混物的总体以及3D打印中的工艺参数来分析所得织构,并与传统IM样品的织构进行比较。打印速度和取向(相对于沿样品长度方向的轴定义)用作3D打印的可变工艺参数。各向异性程度随着极图和ODF中强度不均匀分布的增加而增加。观察到反应器共混物的IM和3D打印样品(0°打印取向)中所有最高强度的主要织构组分都有沿[001]或[001̅]取向的晶体。总体而言,对于相同的产量,0°取向的3D打印样品与IM样品相比显示出更大的织构演变和更高的各向异性。最值得注意的是,3D打印速度的增加使晶体分布更接近0°方向,增加了各向异性,而偏离此打印取向则减少了接近0°方向的晶体分布,从而增加了各向同性。这表明,与注塑成型工艺相比,3D打印可以更有效地在特定方向上定制材料性能。三峰态PE共混物总体的变化在一定程度上改变了晶面的择优取向分布。然而,在几乎所有情况下各向异性程度保持不变,这表明分子量分布的影响在定制所得性能方面不如打印速度和打印取向显著。结果表明,3D打印工艺参数(速度和取向)对织构的影响比与共混物相关的材料参数更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac55/11097177/cfe519ec7b3c/ao4c00387_0001.jpg

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