A database for hydrogen and gas mixtures reduction of iron ore pellets: process conditions, pellet properties, and reduction rates
鉄鉱石ペレットの水素および混合ガス還元に関するデータベース：プロセス条件、ペレット特性、還元速度 (AI 翻訳)
Vaso D Manojlović
🤖 gxceed AI 要約
日本語
本研究は、鉄鉱石ペレットの水素および混合ガス還元実験に関する標準化データベースを構築した。公開文献から144件の実験記録を収集し、109の構造化カラムで体系化。還元曲線をデジタル化し、40点のα-t軌跡に統一。このデータベースは水素製鉄のデータ駆動モデル開発や反応速度解析を支援する。
English
This paper presents a standardized database of iron ore pellet reduction experiments under H₂, CO, and mixed-gas atmospheres, compiled from published literature. It contains 144 records with 109 columns, including digitized reduction curves converted to fixed 40-point trajectories. The database supports shrinking-core modeling, effective diffusivity estimation, and data-driven model development for hydrogen-based ironmaking.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の鉄鋼業界は水素還元製鉄（COURSE50等）を推進しており、本データベースは実験データの標準化により機械学習モデル開発や反応速度解析を加速する。日本の水素製鉄技術開発に直接貢献する基盤データとなる。
In the global GX context
This database addresses the fragmentation of experimental data in hydrogen-based ironmaking, a critical sector for global decarbonization. By standardizing reduction curves and providing open access, it enables kinetic modeling, machine learning, and faster scale-up of hydrogen direct reduction (H2-DRI) technologies.
👥 読者別の含意
🔬研究者:Provides a valuable open dataset for modeling iron ore reduction kinetics and developing ML-based predictive tools for hydrogen-based steelmaking.
🏢実務担当者:Offers a standardized reference for comparing reduction behaviors under different gas compositions, useful for process optimization in hydrogen-based steelmaking.
🏛政策担当者:Supports evidence-based decisions on hydrogen infrastructure and R&D investments for steel decarbonization by enabling better model predictions.
📄 Abstract（原文）
A standardized database of iron ore pellet reduction experiments was prepared from published literature data. The database contains 144 experimental records and 109 structured columns, covering reduction under H₂, CO and mixed-gas atmospheres. Each record includes literature metadata, pellet geometry, reduction temperature, gas composition, flow and pressure conditions, pellet chemistry, selected structural parameters, kinetic/model descriptors and standardized conversion–time trajectories. Reduction curves reported only in graphical form were digitized and converted into fixed 40-point α–t trajectories, enabling direct comparison, kinetic fitting and machine-learning analysis. The database shows good coverage of pellet chemistry, gas composition, flow conditions and reduction curves. However, important descriptors such as induration temperature, holding time, initial and final porosity, pellet structure and directly comparable kinetic parameters are often missing in the original literature. This confirms that the field contains valuable experimental data, but that reporting practices remain fragmented. The database is intended to support shrinking-core modelling, estimation of effective diffusivity and apparent reaction coefficients, comparison of reduction behavior in different gas atmospheres and development of data-driven models for hydrogen-based ironmaking. The complete dataset is openly available through Zenodo, while the present paper documents its structure, coverage, limitations and recommended reporting standard for future pellet-reduction studies. Data availability The complete dataset described in this paper is available through Zenodo: https://doi.org/10.5281/zenodo.20603367 (Manojlović 2026). The repository contains the Excel database in its first public release, v1.0.0, with 144 standardized records. Users should cite both the Zenodo dataset and this descriptive paper when using the data.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.30544/mmd90first seen 2026-06-16 05:28:22
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