Structure · dataset · 2026
Optimization of controlled crystallization and purification for magnesium hydroxide precipitation from brine via lime process: A green and sustainable approach for seawater resource recovery
Listed in ScienceDB
This dataset supports the research article entitled "Optimization of controlled crystallization and purification for magnesium hydroxide precipitation from brine via lime process: A green and sustainable approach for seawater resource recovery".
Description
The study aimed to optimize the crystallization and washing processes for producing high-purity magnesium hydroxide (Mg(OH)2) from brine using lime precipitation, with the goal of meeting the purity requirements for downstream silicothermic reduction of magnesium metal.The dataset includes three components:1.
Orthogonal design experimental data (L25, 6 factors). This part comprises 25 experimental runs covering six factors: Mg concentration (0.3–2.0 mol/L), Ca/Mg molar ratio (0.3–1.1), reaction time (60–360 min), temperature (20–80 °C), aging time (30–150 min), and stirring speed (60–300 rpm). The response variables include D50 (median particle size), SD (standard deviation of particle size distribution), and magnesium content in both solid and liquid phases.2.
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Box‑Behnken design (BBD) response surface methodology data. This part comprises 15 experimental runs (including three center‑point replicates) with three factors: stirring speed (100, 120, 140 rpm), Mg concentration (0.8, 1.0, 1.2 mol/L), and Ca/Mg molar ratio (1.0, 1.1, 1.2). D10, D50, and D90 were measured for each run.3. Washing purification orthogonal design data (L4, 23). This part comprises four experimental runs covering three factors: washing temperature (30, 60 °C), water-to-filter-cake mass ratio (2:1, 4:1), and washing time (30, 60 min).
The dataset includes Na+ and K+ removal efficiencies, residual Na2O and K2O contents, and total alkali metal oxide content (Na2O + K2O) after washing.All particle size measurements were performed using a Microtrac S3500 laser diffraction particle size analyzer. Chemical compositions (Mg2+, Na+, K+, Ca2+, Cl-) were analyzed by complexometric titration and flame atomic absorption spectrometry. The quadratic model for D₅₀ was fitted using Python (NumPy and SciPy).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.39731 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Materials Science · Physics · Social Science
- Inferred from text
- Hydrometallurgy 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.39731 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401903 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:physics | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |