超稳定微米级泡沫的简易和稳健生产

IF 4.3 Q2 ENGINEERING, CHEMICAL
Mariana Rodríguez-Hakim, Luka Oblak and Jan Vermant*, 
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引用次数: 2

摘要

稳定的泡沫,可以抵抗歧化长时间有重要的应用在广泛的技术和消费材料。然而,由于对环境影响的原因,立法举措限制了表面活性材料的使用范围。我们需要技术来高效地生产多相材料,使用更环保的成分,如颗粒,而传统的基于热力学的加工路线不一定足够高效。这项工作描述了一种创新的发泡技术,该技术可以通过压力诱导的颗粒致密化产生微米尺寸的超稳定皮克林-拉姆斯登泡沫。具体来说,水纳米硅稳定泡沫是通过在亚大气压下使悬浮液发泡而产生的,允许颗粒吸附到大气泡上。随后增加到大气压力,这导致气泡收缩并压缩吸附的颗粒界面,形成一个强大的弹塑性网络,提供抗歧化的机械阻力。对泡沫的界面力学性能进行量化,以预测产生永久稳定泡沫所需的加工条件范围,并通过考虑缓慢单向压缩下的界面流变特性推导出一般稳定性准则。具有抗歧化稳定性的泡沫的特点是其界面对压缩变形的机械阻力可以承受其通过减小其表面积来最小化界面应力的倾向。我们的超稳定纳米二氧化硅泡沫在实际应用中通过将其引入混凝土中进行测试。与其他商用空气夹带剂相比,我们的微泡沫提高了混凝土的抗冻融能力,同时提供了更高的材料强度,为涉及胶凝材料的实际应用提供了经济上有吸引力、工业上可扩展和耐用的替代品。我们的稳定性标准适用于其他流变学复杂的界面,我们的发泡技术的通用性使我们能够在建筑行业之外的广泛材料中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Facile and Robust Production of Ultrastable Micrometer-Sized Foams

Facile and Robust Production of Ultrastable Micrometer-Sized Foams

Stable foams that can resist disproportionation for extended periods of time have important applications in a wide range of technological and consumer materials. Yet, legislative initiatives limit the range of surface active materials that can be used for environmental impact reasons. There is a need for technologies to efficiently produce multiphase materials using more eco-friendly components, such as particles, and for which traditional thermodynamics-based processing routes are not necessarily efficient enough. This work describes an innovative foaming technology that can produce ultrastable Pickering-Ramsden foams, with bubbles of micrometer-sized dimensions, through pressure-induced particle densification. Specifically, aqueous nanosilica-stabilized foams are produced by foaming a suspension at subatmospheric pressures, allowing for adsorption of the particles onto large bubbles. This is followed by an increase back to atmospheric pressure, which induces bubble shrinkage and compresses the adsorbed particle interface, forming a strong elastoplastic network that provides mechanical resistance against disproportionation. The foam’s interfacial mechanical properties are quantified to predict the range of processing conditions needed to produce permanently stable foams, and a general stability criterion is derived by considering the interfacial rheological properties under slow, unidirectional compression. Foams that are stable against disproportionation are characterized by interfaces whose mechanical resistance to compressive deformations can withstand their tendency to minimize the interfacial stress by reducing their surface area. Our ultrastable nanosilica foams are tested in real-life applications by introducing them into concrete. In comparison to other commercial air entrainers, our microfoam improves concrete’s freeze–thaw resistance while supplying higher material strength, providing an economically attractive, industrially scalable, and durable alternative for use in real-life applications involving cementitious materials. The applicability of our stability criterion to other rheologically complex interfaces and the versatile nature of our foaming technology enables usage for a broad class of materials, beyond the construction industry.

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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
自引率
0.00%
发文量
0
期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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