Systematic Machine leARning Training for PORous mEdia characterizationS (SMART PORES)

多孔介质表征的系统机器学习培训 (SMART PORES)

• 批准号: 21K13999
• 负责人: パトモノアジ アニンディティヨ
• 金额: $ 3万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K13999/
• 关键词: Porous media; Machine Learning; Pore throat network; 3D printer; Microtomography; Permeability

Throughout this first year of research work, i have developed a method to incorporate 3D printer into this research work. By using the 3D printer, I have successfully fabricated a custom 2D micromodel. This fabrication model is low cost and very useful for rapid prototyping. This result was published in an academic paper this year. In addition, I have started 3D printing various granular particle that will be used for 3D porous media characterization.

在这第一年的研究工作中，我开发了一种方法，将3D打印机融入到这项研究工作中。通过使用3D打印机，我成功地制作了一个定制的2D微模型。这种制造模型成本低，对快速成型非常有用。这一结果发表在今年的一篇学术论文上。此外，我已经开始3D打印各种颗粒颗粒，这些颗粒将用于3D多孔介质的表征。

项目成果

Stereolithography 3D Printer for Micromodel Fabrications with Comprehensive Accuracy Evaluation by Using Microtomography

• DOI: 10.3390/geosciences12050183
• 发表时间: 2022-05-01
• 期刊: GEOSCIENCES
• 影响因子: 2.7
• 作者: Patmonoaji, Anindityo;Mahardika, Mohammmad Azis;Suekane, Tetsuya
• 通讯作者: Suekane, Tetsuya