Impact of Pressure and Rotational Speed on the Efficiency of Dry Ice Blasting Machines: A Computational Fluid Dynamics Analysis

Dry ice cleaning machines have become a highly effective solution in industrial cleaning, utilizing dry ice pellets to remove contaminants without damaging surfaces. This method, known as dry-ice blasting, uses compressed air to propel dry ice pellets, offering a cleaner alternative to traditional chemical and high-pressure water jet methods. The performance and effectiveness of dry ice cleaning machines are largely determined by the flow dynamics of the dry ice as it interacts with the cleaning surface. This study uses Computational Fluid Dynamics (CFD) to analyze the impact of operational parameters, specifically on rotational speed changes effect of gear and pressure inlet settings. The rotational speed are tested at 100, 250, and 500 rotational per minutes (rpm) to observe its effect on flow, while pressure variations of 8, 10, and 12 bar were examined to understand their influence on fluid behavior, ultimately enhancing machine efficiency and design. In conclusion, the analysis reveals that operating the dry ice machine at 250 rpm with an inlet pressure of 12 bar offers the best performance. This combination results for 12 bar shows 9.13% increament in exit velocity, reaching 1269 m/s compared to 1159 m/s at 10 bar. The nozzle pressure also increases by 17.66%, from 556.1 kPa to 654.3 kPa, ensuring stable flow dynamics. Additionally, the turbulent kinetic energy (TKE) rises by 19.62% to 43,770 m²/s², improving particle mixing and distribution. This optimal setting enhances machine efficiency and effectiveness, making it the ideal choice for dry ice spraying operations.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research Design
Published
2025-05-02
DOI
https://doi.org/10.37934/ard.128.1.4763
Primary Topic
Mechanical and Thermal Properties Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Pressure and Rotational Speed on the Efficiency of Dry Ice Blasting Machines: A Computational Fluid Dynamics Analysis

Adi Azriff Basri, A. K. Khan, Azizan As’arry, M.Y.M. Zuhri et al.
Journal of Advanced Research Design
Mechanical and Thermal Properties Analysis
article

Impact of Pressure and Rotational Speed on the Efficiency of Dry Ice Blasting Machines: A Computational Fluid Dynamics Analysis

Adi Azriff Basri, A. K. Khan, Azizan As’arry, M.Y.M. Zuhri, Muhammad Safwan Abdul Aziz, Muhammad Shahril Shahbudin, Ezzat Afifi Abd Halid
article en

Abstract

Dry ice cleaning machines have become a highly effective solution in industrial cleaning, utilizing dry ice pellets to remove contaminants without damaging surfaces. This method, known as dry-ice blasting, uses compressed air to propel dry ice pellets, offering a cleaner alternative to traditional chemical and high-pressure water jet methods. The performance and effectiveness of dry ice cleaning machines are largely determined by the flow dynamics of the dry ice as it interacts with the cleaning surface. This study uses Computational Fluid Dynamics (CFD) to analyze the impact of operational parameters, specifically on rotational speed changes effect of gear and pressure inlet settings. The rotational speed are tested at 100, 250, and 500 rotational per minutes (rpm) to observe its effect on flow, while pressure variations of 8, 10, and 12 bar were examined to understand their influence on fluid behavior, ultimately enhancing machine efficiency and design. In conclusion, the analysis reveals that operating the dry ice machine at 250 rpm with an inlet pressure of 12 bar offers the best performance. This combination results for 12 bar shows 9.13% increament in exit velocity, reaching 1269 m/s compared to 1159 m/s at 10 bar. The nozzle pressure also increases by 17.66%, from 556.1 kPa to 654.3 kPa, ensuring stable flow dynamics. Additionally, the turbulent kinetic energy (TKE) rises by 19.62% to 43,770 m²/s², improving particle mixing and distribution. This optimal setting enhances machine efficiency and effectiveness, making it the ideal choice for dry ice spraying operations.

Journal of Advanced Research DesignVol. 128(1)
Universiti Putra Malaysia (MY), Nilai University (MY)
Universiti Putra Malaysia
Openalex Percentile: Top 90%
Mechanical and Thermal Properties Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.