Analyzing Structural Contributions of 3D-Printed Porous Electrodes

Authors:

Khoi Bui, Sof a Edgar, Michael Aziz

Date Created:

2025-01-01

Course Title:

Professor:

Not specified

About Paper:

As the world transitions toward renewable energy sources like conventional electrodes, we fabricate 3D-printed electrodes with solar and wind, we face a new challenge: how to store energy predefined mesh geometries. As electrolyte flows through these when the sun is not shining or the wind is not blowing. These structures, we capture high-resolution 3D images of “tails” of green energy sources are intermittent, making reliable energy reduced electrolyte which reflect localized electrolyte reduction storage more important than ever. While the current lithium- behavior. From these images, we created and trained a ion batteries are widely used, they have many major drawbacks convolutional neural network to segment images into three classes, like limited lifespan, slow charging, and especially, explosive electrode, bulk electrolyte, and tails. Finally, we quantify the concerns, which can make them unreliable when being used segmented tails by extracting features such as tail length and to store energy at a large scale. To address these problems, area, which allows us to assess mass transfer limitations. This people have been working on redox flow batteries. One of its approach enables us to study how electrode geometry influences major components are the electrodes, which react with the liquid mass transfer behavior systematically and find the core principles electrolyte to transfer electrons. Our research investigates how that govern this relationship. This fundamental understanding can the structure of battery electrodes affects electrolyte flow and serve as a stepping stone toward developing optimal electrode reduction efficiency by integrating electrode design with image- structures that maximize electrolyte utilization while minimizing based machine learning analysis. To eliminate the heterogeneity of flow resistance. Atmospheric Water Harvesting - Condensation Surface Fabrication and Characterization Tae Esperanza Cooper, Michael Gee, Joanna Aizenberg, Frank Keutch Pima Community College/University of Arizona | Electrical Engineering | 2029 Atmospheric water harvesting via dew collection is an emerging wereconfirmedunderopticalmicroscopetohaveacoatingheight± technology that could help remedy global water scarcity. 10umabovetheridgesofthelenticularfilm. CALwasthenapplied Collection rate is limited by the material properties of the surfacby oxygen plasma treating and immersing samples in a grafting on which condensate forms. Soft substrates have received some solution. Dropwise condensation under controlled temperature attention as effective condensation surfaces because of their and humidity on samples was recorded via digital camera with improved droplet nucleation and growth rates. However, these digital single-lens reflex (DSLR). Condensation characteristics materials hinder droplet motion—reducing droplets’ ability to were analyzed via instance segmentation of droplets. Controls coalesce and shed. To address this, we graft covalently attached in this experiment included: linearly bonded PDMS (less soft) liquid (CAL) surface treatments that enable high droplet mobility. with CAL on lenticular film, linearly bonded PDMS without CAL Furthermore, we boost droplet coalescence with stiffness gradients on lenticular film, and bottlebrush PDMS with CAL on a flat through substrate texture, known as durotaxis. Bottlebrush substrate. Theevidenceofdurotaxisinpreliminarytestingsuggests PDMS, an ultra soft polymer, was spin-coated onto lenticular ourcondensationsurfacedesignwouldhaveimprovedatmospheric films—creating gradients in thickness and associated local elastic water harvesting abilities. Further condensation analysis will modulus. The amount of PDMS coating applied to films was be conducted to quantify the improved heat transfer coefficient, controlledto7.2mg/cm andcoatingswerespreadwithrazorsprior critical shedding size, and collection rate. This work might inform to spin coating. Even so, coatings were inconsistent, so samples the construction of atmospheric water harvesting devices.

Abstract:

As the world transitions toward renewable energy sources like conventional electrodes, we fabricate 3D-printed electrodes with solar and wind, we face a new challenge: how to store energy predefined mesh geometries. As electrolyte flows through these when the sun is not shining or the wind is not blowing. These structures, we capture high-resolution 3D images of “tails” of green energy sources are intermittent, making reliable energy reduced electrolyte which reflect localized electrolyte reduction storage more important than ever. While the current lithium- behavior. From these images, we created and trained a ion batteries are widely used, they have many major drawbacks convolutional neural network to segment images into three classes, like limited lifespan, slow charging, and especially, explosive electrode, bulk electrolyte, and tails. Finally, we quantify the concerns, which can make them unreliable when being used segmented tails by extracting features such as tail length and to store energy at a large scale. To address these problems, area, which allows us to assess mass transfer limitations. This people have been working on redox flow batteries. One of its approach enables us to study how electrode geometry influences major components are the electrodes, which react with the liquid mass transfer behavior systematically and find the core principles electrolyte to transfer electrons. Our research investigates how that govern this relationship. This fundamental understanding can the structure of battery electrodes affects electrolyte flow and serve as a stepping stone toward developing optimal electrode reduction efficiency by integrating electrode design with image- structures that maximize electrolyte utilization while minimizing based machine learning analysis. To eliminate the heterogeneity of flow resistance. Atmospheric Water Harvesting - Condensation Surface Fabrication and Characterization Tae Esperanza Cooper, Michael Gee, Joanna Aizenberg, Frank Keutch Pima Community College/University of Arizona | Electrical Engineering | 2029 Atmospheric water harvesting via dew collection is an emerging wereconfirmedunderopticalmicroscopetohaveacoatingheight± technology that could help remedy global water scarcity. 10umabovetheridgesofthelenticularfilm. CALwasthenapplied Collection rate is limited by the material properties of the surfacby oxygen plasma treating and immersing samples in a grafting on which condensate forms. Soft substrates have received some solution. Dropwise condensation under controlled temperature attention as effective condensation surfaces because of their and humidity on samples was recorded via digital camera with improved droplet nucleation and growth rates. However, these digital single-lens reflex (DSLR). Condensation characteristics materials hinder droplet motion—reducing droplets’ ability to were analyzed via instance segmentation of droplets. Controls coalesce and shed. To address this, we graft covalently attached in this experiment included: linearly bonded PDMS (less soft) liquid (CAL) surface treatments that enable high droplet mobility. with CAL on lenticular film, linearly bonded PDMS without CAL Furthermore, we boost droplet coalescence with stiffness gradients on lenticular film, and bottlebrush PDMS with CAL on a flat through substrate texture, known as durotaxis. Bottlebrush substrate. Theevidenceofdurotaxisinpreliminarytestingsuggests PDMS, an ultra soft polymer, was spin-coated onto lenticular ourcondensationsurfacedesignwouldhaveimprovedatmospheric films—creating gradients in thickness and associated local elastic water harvesting abilities. Further condensation analysis will modulus. The amount of PDMS coating applied to films was be conducted to quantify the improved heat transfer coefficient, controlledto7.2mg/cm andcoatingswerespreadwithrazorsprior critical shedding size, and collection rate. This work might inform to spin coating. Even so, coatings were inconsistent, so samples the construction of atmospheric water harvesting devices.

Source:

Harvard / Howard University | Electrical Engineering | 2027 / 2025

Topics:

electrode, electrolyte, droplet, energy, water, condensation, pdms, flow, image, tail, transfer, harvesting

Co-authors:

@khoibui419 , @sofaedgar420 , @michaelaziz421