Improve scientific research efficiency! Sugon Intelligent Computing Accelerates Numerical Simulation of Liquid Atomization

       Atomization of liquids is the process of dispersing liquids into small droplets or mist. In the process of liquid atomization, multiple factors such as the interaction between liquid molecules, gas flow, and the interaction between liquid and gas play an important role. Therefore, liquid atomization has always been a hot topic in scientific research and industrial production.

       Liquid atomization is widely used, for example, in the field of medicine, it is used for drug inhalation, which can improve the therapeutic effect; in the field of petrochemical industry, it is used to improve reaction efficiency and output; in the field of aviation, it is used to improve combustion efficiency and reduce emissions. Therefore, numerical simulation of liquid atomization interface dynamics is necessary.

       Through the numerical simulation of liquid atomization interface dynamics, parameters such as droplet size, distribution, velocity and shape can be predicted more accurately, which can further solve the limitations and challenges faced by traditional models.

       Behind the numerical simulation requires a large amount of computing resources to support. Sugon's national integrated computing power service platform has high efficiency, scalability, stability, and ease of use, and can meet the needs and challenges of numerical simulation of liquid atomization interface dynamics, allowing researchers to focus on scientific research.

       The efficiency of the platform, such as high-efficiency computing, large memory, and parallel computing capabilities, can meet the requirements of a large number of computing resources for numerical simulation of liquid atomization interface dynamics; scalability, users can increase or decrease computing resources as needed, better control costs, and improve the utilization of computing resources; stability, which can ensure the accuracy and reliability of long-term calculations; ease of use, so that researchers can easily submit and analyze jobs and accelerate innovation.

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Origin blog.csdn.net/Gkjy_0351/article/details/130616142
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