Thermal Manipulation in Multi‐Layered Anisotropic Materials via Computed Thermal Patterning

Thermal Manipulation in Multi‐Layered Anisotropic Materials via Computed Thermal Patterning
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DOI:
10.1002/adfm.202109674
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发表时间:
2021-12
影响因子:
19
通讯作者:
Shuting Liu;Yingguang Li;Qiangqiang Liu;Ke Xu;Jing Zhou;Yingxiang Shen;Zijian Yang;Xiaozhong Hao
Shuting Liu;Yingguang Li;Qiangqiang Liu;Ke Xu;Jing Zhou;Yingxiang Shen;Zijian Yang;Xiaozhong Hao
中科院分区:
材料科学1区
文献类型:
--
作者:
Shuting Liu;Yingguang Li;Qiangqiang Liu;Ke Xu;Jing Zhou;Yingxiang Shen;Zijian Yang;Xiaozhong Hao

文献摘要

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控制材料中的热分布是热功能材料领域的长期目标。各种各样的热操纵方法已经被成功地开发出来,其中一些已经实现了华丽的热图案。然而,现有的热功能材料要么难以避免引入大量的外部加热器和电缆,要么难以实现具有高热分辨率和精度的动态热操纵。此外,复杂的制造工艺也限制了热功能材料的广泛应用。在此,提出了一种计算热图案化方法,其可以在高度通用且易于制造的多层材料中动态地实现续流热操纵。该方法首先将断层扫描的原理引入热操作中,通过多角度有节奏的叠加将热束视为光能,使人类能够书写字符,绘画,播放电影,而无需嵌入任何外部加热器或电缆。一个特殊的热扩散问题,在层析过程中解决了发展逆热扩散优化。实验案例证明了这种方法在多区域热成形、加密消息传递、3D热打印和变形方面的巨大潜力。
Manipulation of heat distribution in the material is a long‐term goal that has been pursued in the field of thermal functional materials. Various thermal manipulation methods have been successfully developed, some of which have realized gorgeous thermal patterns. However, existing thermal functional materials are either difficult to avoid introducing massive external heaters and cables or it is hard to achieve dynamic thermal manipulation with a high thermal resolution and accuracy. In addition, the complicated manufacturing process also limits the wide application of thermal functional materials. Herein, a computed thermal patterning method is proposed, which can dynamically achieve a freewheeling thermal manipulation in the highly versatile and easily manufactured multi‐layered material. This method first introduces the principle of tomography into the thermal manipulation by treating heat beams as light energy via a multi‐angled rhythmical superposition, enabling the human characters to be written, paintings to be drawn, movies to be played, without embedding any external heaters or cables. A particular thermal diffusion problem in the tomographic process is solved by developing an inverse thermal diffusion optimization. Experimental cases demonstrate the great potential of this method in multi‐zoned thermal forming, encrypted messaging, 3D thermal printing, and morphing.