In classical process engineering, continuum models are mostly preferable rather than using ‘particle’ based models. The Adams–Bashforth method refers to an approach that is conventional CFD modeling. However, the engineering community is taking advantage of the Adams–Bashforth method to simulate the flow filed in different industrial scales 1, 13. CFD approach standing for computational fluid dynamics has a significant role in the mentioned trend. The progress in process modeling has been enhanced by increasing the computational power. This numerical tool can provide a new framework to understand the process and calculate some parameters in the flow that are difficult to measure in experimental observations or time consuming 3, 4, 5, 6, 7, 8, 9, 10, 11, 12. CFD simulations are extensively used in different industrial processes, such as multiphase flows, and interaction between phases. Multi-scale simulations received much attention due to linking with two elements, including phenomena and processes at various time and length scales 1, 2. Moreover, the next one refers to designing unit operations, and completing process plants. First, comprehending complex process engineering, which includes potentially rate-limiting transport phenomena. AI model can mimic the vortex structure in the cavity, where there is a zero-velocity structure in the center of the domain and maximum velocity near the moving walls.Ĭomputational methods and mathematical simulations help process engineering tools have their role in two aspects. We also found that there is an excellent agreement between AI overview with the Adams–Bashforth approach, and the new combination of machine learning and CFD method can accelerate the calculation of the flow field in the square-shaped cavity. The results reveal that there is a great agreement between Euler-Lagrangian and AI- Lagrangian in the cavity. The Lagrangian framework is coupled with the AI method, and the particle freely migrates through this artificial framework. After simulating fluid flow, the ANFIS method is used as an AI model to train the Eulerian data-set and represents AI fluid flow (framework). The Adams–Bashforth finite element method is used as a conventional CFD method (Eulerian framework) to simulate the flow field in the cavity. Then the Lagrangian framework is coupled with this AI flow field, and we simulate particle motion through the fully AI framework. In this work, using the machine learning method, the flow field in the square shape cavity is trained, and then the Eulerian framework is replaced with a machine learning method to generate the artificial intelligence (AI) flow field. However, by the revolution of the fast and accurate learning process, the Eulerian domain can be computed by smart modeling in a very short computational time. Solving the Eulerian flow field as a source of solid particle movement can be very time-consuming. However, using high-resolution computational calculations for particle movement and the interaction between the solid phase and other phases in fine timestep is limited to excellent computational resources. Local mesh refinement controls can resolve geometry details appropriately, and poor CAD models can be improved in SpaceClaim/Discovery, or you can use Fluent's Fault Tolerant meshing workflow, which is robust to CAD faults.Direct numerical simulation (DNS) of particle hydrodynamics in the multiphase industrial process enables us to fully learn the process and optimize it on the industrial scale. Poor mesh quality can also be caused by insufficient mesh resolution of geometry details or by poor underlying CAD. When selected, you will then enter the percentage of the total cells to be improved, and the number of iterations of smoothing sweeps performed. If you are in Fluent Solution mode, you can improve the mesh quality by selecting the improve the mesh option on the Quality button under the Domain tab. To improve the surface mesh, you will have to enter a face quality limit to target, and when improving the volume mesh, you will have to enter a cell quality limit value to target. If you are still in the process of generating your mesh in Fluent Meshing mode, you can insert a task after both the 'Generate the Surface Mesh' task and 'Generate the Volume Mesh' task by right-clicking on either one and inserting a new 'Improve Mesh' task. Mesh quality can be improved in a variety of places in Ansys Fluent.
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