Wear-resistant thin film-based triboelectric nanogenerators for self-powered sensing

用于自供电传感的耐磨薄膜摩擦纳米发电机

• 批准号: 527445509
• 负责人: Professor Dr.-Ing. Gerhard Fischerauer
• 金额: --
• 依托单位: Institut für Maschinenkonstruktion und Tribologie (IMKT)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/527445509?language=en
• 关键词: Wear; resistant; thin; film; based

Nowadays, sensors are used in machines of all types for control, performance enhancement, and condition monitoring, or in everyday life or the biomedical sector, for example in wearables, clothing, or implantable medical devices to track the behavior or physiological state of the user. Besides data acquisition, processing and transmitting, the energy supply represents one of the major challenges. Making use of the triboelectric charging of solids when two bodies come into contact and subsequently separate again, triboelectric nanogenerators (TENGs) feature huge potential in green energy harvesting to power smart and internet of things devices due to their cost-effective fabrication, easy integration, and low frequency working range. However, there still exists an urgent demand to keep maximizing the electrical output while ensuring the long-lasting high performance. Based upon the state of reported research — predominantly from Asia as Europe and Latin America appear to have some catching up to do in this area — as well as our own preliminary work, it can be assumed that surface modification approaches in the form of deposited solid lubricant thin-films, for example diamond-like carbon (DLC) or two-dimensional materials such as MXenes, can synergistically enhance the electrical output and in particular the durability of triboelectric effect-based green energy harvesters. This collaborative project is based on the hypothesis that the triboelectric behavior of the aforementioned thin films is also influenced by changes in operating and ambient conditions (contact forces, humidity, temperature, etc.) and that TENGs can therefore not only be used to generate electricity by means of green energy harvesting, but that their dependence on ambient conditions can be systematically exploited to provide information about these very conditions. Thereby, solid lubricant thin film-based TENGs inevitably experience long-term changes in the electrical signal due to tribochemical changes, degradation or wear. Therefore, we aim at subdividing the triboelectric output signals into time-resolved signals, which provide information on the current (operating and environmental) conditions, and into long-term temporal changes. The latter, on the one hand, have to be considered for a correct interpretation of mentioned short-term information in the sense of an intrinsic self-learning or self-calibration function, and on the other hand provide information on the wear condition and remaining useful lifetime of the sensor. In particular, we would like the project to expand the understanding of the design requirements and performance limitations of the aforementioned approaches

如今，将传感器用于所有类型的机器中，以进行控制，性能增强和状况监测，或者在日常生活或生物医学领域，例如，在可穿戴设备，衣服或可植入的医疗设备中以跟踪用户的行为或物理状态。除了数据获取，处理和传输外，能源供应还代表了主要挑战之一。当两个尸体接触并再次分开时，利用固体的底层充电，Triboelectric纳米生成器（TENGS）具有巨大的潜力，在绿色能源收获中，由于其具有成本效益的制造，易于集成，易于智能和互联网设备，并具有低频工作范围。但是，仍然存在迫切的需求，以便在确保持久的高性能的同时继续最大程度地提高电力输出。根据报告的研究状态（主要来自亚洲，欧洲和拉丁美洲似乎在这一领域都有一些要做的事情 - 以及我们自己的初步工作，可以假定，以沉积的固体润滑剂薄膜的形式进行表面修改方法，例如，钻石样碳（DLC）或二维材料，即持久型，既有二维材料，也可以持久化。基于摩擦效应的绿色能源收割机。该协作项目基于以下假设：理性薄膜的摩擦电行为也受到操作和环境条件的变化（接触力，湿度，温度等）的影响，因此不仅可以使用TENGS来通过绿色能量收获来发电，而且还可以系统地探索这些条件，以提供这些条件，以提供这些条件。因此，固体润滑剂基薄膜基的tengs不可避免地会因乳头化学变化，降解或磨损而导致电信号的长期变化。因此，我们旨在将摩擦电信号细分为时间分辨的信号，这些信号提供有关当前（操作和环境）条件的信息，并将其分解为长期临时变化。一方面，必须考虑以固有的自我学习或自我校准功能的意义，以正确解释上述短期信息，另一方面，另一方面提供有关磨损状况和传感器剩余寿命的信息。特别是，我们希望该项目扩展对近似方法的设计要求和性能限制的理解