Scholarlink

<p>In the rapidly evolving landscape of medicine, hyperbaric oxygen therapy (HBOT) has emerged as a clinically recognized treatment involving the inhalation of pure oxygen in a pressurized chamber. Despite its proven applications, further research is needed to understand and simulate the physical processes governing HBOT. This paper presents a novel modeling technique and an automated pressurized chamber specifically designed for laboratory studies to better analyze oxygenated air circulation in hyperbaric environments. </p><p>The proposed model integrates hydraulic principles and geometric constraints to replicate real-world HBOT dynamics. It incorporates dimensionless equations, including Reynolds, Froude, and Archimedes principles, to account for fluid motion, energy dissipation, and pressure field behavior. Geometric conditions involve initial and boundary parameters such as velocity, temperature, pressure, concentration, and mass density. For realistic simulation, both physical and geometric similarity conditions must be satisfied. To enhance the generalizability of results, the Ruark transformation is employed to introduce dimensionless coordinates, allowing findings to extend to related scenarios.</p><p>The proposed laboratory model demonstrates the ability to accurately simulate complex oxygenation and flow dynamics in pressurized environments. The automated chamber ensures precise control and experimental reproducibility. The model effectively reproduces velocity fields and pressure distributions across varied geometric and dynamic configurations.</p><p>By combining hydraulic theory with geometric modeling, this study provides a robust framework for exploring HBOT mechanisms in a controlled setting. The approach not only advances theoretical understanding but also lays the groundwork for future experimental and clinical investigations in hyperbaric therapy and similar therapeutic environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Advances in Hyperbaric Oxygen Therapy: Medical Benefits and Technical Perspectives

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月18日

查看全文
  • Antoanela Naaji,
  • Monica Ciobanu,
  • Marius Popescu

摘要

In the rapidly evolving landscape of medicine, hyperbaric oxygen therapy (HBOT) has emerged as a clinically recognized treatment involving the inhalation of pure oxygen in a pressurized chamber. Despite its proven applications, further research is needed to understand and simulate the physical processes governing HBOT. This paper presents a novel modeling technique and an automated pressurized chamber specifically designed for laboratory studies to better analyze oxygenated air circulation in hyperbaric environments.

The proposed model integrates hydraulic principles and geometric constraints to replicate real-world HBOT dynamics. It incorporates dimensionless equations, including Reynolds, Froude, and Archimedes principles, to account for fluid motion, energy dissipation, and pressure field behavior. Geometric conditions involve initial and boundary parameters such as velocity, temperature, pressure, concentration, and mass density. For realistic simulation, both physical and geometric similarity conditions must be satisfied. To enhance the generalizability of results, the Ruark transformation is employed to introduce dimensionless coordinates, allowing findings to extend to related scenarios.

The proposed laboratory model demonstrates the ability to accurately simulate complex oxygenation and flow dynamics in pressurized environments. The automated chamber ensures precise control and experimental reproducibility. The model effectively reproduces velocity fields and pressure distributions across varied geometric and dynamic configurations.

By combining hydraulic theory with geometric modeling, this study provides a robust framework for exploring HBOT mechanisms in a controlled setting. The approach not only advances theoretical understanding but also lays the groundwork for future experimental and clinical investigations in hyperbaric therapy and similar therapeutic environments.