CONVERGE CFD Software

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Published December 15, 2023

Clair Engineers Pvt Ltd Set to Upgrade Their Products with CONVERGE Horizon

Author:
Sankalp Lal

Technical Marketing Team Lead

With increased production capacities and outputs, it is important for industries to continuously upgrade their pollution control systems to stay within the ever-updating permissible emissions limits. Clair Engineers Pvt Ltd, experts in the design, manufacture, and installation of air pollution control equipment and process equipment, have been helping companies not just control particulate matter and gaseous emissions but also optimize industrial processes.

Because of the stringent norms, the precision and efficiency of pollution control equipment have become increasingly important. With a dedication to innovate and improve, engineers from Clair were in search of a CFD simulation tool. They evaluated five tools, and CONVERGE emerged as the winner!

The Clair engineers’ objective with CONVERGE was clear: assess performance, ensure compliance with rigorous standards, predict any shortcomings, and enhance design efficiency. For evaluation, Clair delved into the intricacies of an electrostatic precipitator (ESP), bag filter, and a gas cyclone. ESPs are industrial air pollution control devices that remove particulate matter from exhaust gases, playing a vital role in environmental protection. The ESP simulation provided an in-depth understanding of the pressure drop, flow velocity, and flow uniformity across the domain and at the perforated plates. CONVERGE’s under-relaxation-based steady-state solver was employed to ensure not only precision but also a rapid turnaround time.

Figure 1: (a) Rendering of ESP geometry. (b) Velocity after perforated plate 1 (blue = low velocity and red = high velocity). (c) Velocity on a plane just after the first ESP plates (blue = low velocity and red = high velocity).

In the case of a bag filter, fabric bags are employed to capture and remove particulate matter from air or gas streams. Here, its evaluation extended beyond assessing the pressure drop within the domain. The local velocity at the surface of the bag was also studied to ensure it remained below the defined threshold, not adhering to which can potentially damage the bag.

Figure 2: (a) Rendering of the bag filter geometry. (b) Velocity at the geometry’s mid-plane (blue = low velocity and red = high velocity). (c) Velocity on a vertical plane passing through one of the layers of the bags (blue = low velocity and red = high velocity).

The last application, a gas cyclone, is a device to separate particles from a gas stream through centrifugal force. Solid particles were introduced into the system in this simulation. The focus of the evaluation was to ascertain the separation efficiency of particles in the gas stream. Tangential and axial velocities were scrutinized, and the results were compared to existing literature. The results were promising and comparable with the established benchmarks.

Figure 3: (a) Chart showing the particle size distribution introduced in the domain. (b) Axial velocity at the mid-plane (blue = low velocity and red = high velocity). (c) Separation of the particles captured in CONVERGE (blue = smaller radius and red = larger radius).

Being concerned with the large simulation domains of their applications, Clair ran their cases on CONVERGE Horizon, our cloud computing platform. CONVERGE Horizon offers affordable on-demand access to both our solver and top-of-the-line computing resources that have been optimized for CONVERGE, ensuring an excellent performance-to-cost ratio.

Autonomous meshing and state-of-the-art physical models give CONVERGE the ability to accommodate complex geometries and solve hard problems. For Clair, specifically, it was the under-relaxation solver, Adaptive Mesh Refinement (AMR), and grid scaling features that won their approval. AMR and grid scaling allow CONVERGE to change the mesh size during simulation runtime in specific regions and the whole domain, respectively, based on a handful of parameters that a user can define in a few minutes. These features in CONVERGE save users time and alleviate concerns for creating an optimized mesh before starting the simulation.
These capabilities were not the sole reason for CONVERGE’s victory, however. One of the key differentiators was the top-notch support and guidance from our engineers. Their experience with our team was such that they ended up calling it the “best”— a common sentiment from many of our customers, and something we take great pride in. The confidence nurtured during the evaluation period extended their long-term vision. In the future, they plan to implement CONVERGE across their entire product line.

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