From an engineering standpoint, the main challenge lay in accurately modelling the complex interactions between dust particles and the vent line under varying temperature and flow conditions. The vent line operated with temperature-dependent gas properties, making conventional assumptions unsuitable. Furthermore, particle behaviour—whether deposition or rebound—was influenced by multiple coupled factors, including carrier gas composition, local turbulence, and wall temperature. Developing a simulation that could reliably capture these dynamics required both custom boundary conditions and careful validation against analytical and real-world data.
Vent Line Scrubbing Case Study
The Problem
The Solution
Jesmond Engineering carried out a full-scale CFD simulation of the vent line, incorporating the temperature-dependent properties of the carrier gas to identify precisely where particle accumulation and clogging were occurring. Because the particles’ behaviour—whether they adhered to or rebounded from surfaces—depended on both temperature and gas composition, bespoke boundary conditions were developed to accurately model their interactions within the system.
Conclusion
Through the combination of simulation results and supporting analytical verification, Jesmond Engineering identified the specific regions within the vent line that were most prone to dust accumulation and blockage. The findings aligned closely with the client’s operational experience and informed the installation of a cyclone particle separator at a critical point in the system, effectively eliminating the clogging issue and restoring consistent vent line performance.
Benefits
Through advanced CFD simulation and targeted analytical analysis, Jesmond Engineering provided the client with a precise understanding of the mechanisms causing the vent line blockages. This insight enabled the implementation of a permanent, data-driven solution that eliminated recurring maintenance issues and restored full production efficiency. By resolving the root cause rather than the symptoms, the client was able to reduce unplanned downtime, lower maintenance costs, and improve overall process reliability. The modification also enhanced operational safety and stability, giving the client greater confidence in the long-term performance of their system.