JOURNAL ARTICLE

Critical Evaluation and Calorimetric Study of the Thermodynamic Properties of Na2CrO4, K2CrO4, Na2MoO4, K2MoO4, Na2WO4, and K2WO4

  • Published In: Journal of Physical & Chemical Reference Data, 2023, v. 52, n. 4. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Benalia, Sara; Tesfaye, Fiseha; Lindberg, Daniel; Sibarani, David; Hupa, Leena; Chartrand, Patrice; Robelin, Christian 3 of 3

Abstract

This article critically evaluates crystallographic data and thermodynamic properties—including solid–solid transitions and fusion—of six pure salts: sodium chromate (Na₂CrO₄), potassium chromate (K₂CrO₄), sodium molybdate (Na₂MoO₄), potassium molybdate (K₂MoO₄), sodium tungstate (Na₂WO₄), and potassium tungstate (K₂WO₄). Using differential scanning calorimetry (DSC) and high-temperature x-ray diffraction (XRD), the study refines phase transition temperatures, enthalpy changes, crystal structures, and space groups, notably identifying three phases for K₂MoO₄ instead of four previously reported. The work serves as a foundational step toward developing a comprehensive thermodynamic model for the Na⁺, K⁺//Cl⁻, SO₄²⁻, CO₃²⁻, CrO₄²⁻, Cr₂O₇²⁻, MoO₄²⁻, Mo₂O₇²⁻, WO₄²⁻, W₂O₇²⁻, O²⁻ system, which is relevant for understanding and mitigating high-temperature corrosion in combustion environments containing alkali salts and corrosive gases. The article compiles recommended thermodynamic data from literature and new measurements to support future phase equilibrium calculations aimed at predicting corrosive deposit formation and improving equipment durability.

Additional Information

  • Source:Journal of Physical & Chemical Reference Data. 2023/12, Vol. 52, Issue 4, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2023
  • ISSN:00472689
  • DOI:10.1063/5.0154609
  • Accession Number:174524131
  • Copyright Statement:Copyright of Journal of Physical & Chemical Reference Data is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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