Whilst the results from manual or traditional engineering calculations are relatively easier to check, unfortunately, due to the complexity involved in the iterations of non-linear partial differential equations, checking CFD calculations can be tedious whereas conducting physical validations to determine the accuracy of CFD results may be impractical and/or economically prohibitive. Consequently, users may have to rely on CFD results per se to make informed decisions which may involve safety consequences or pecuniary value in the magnitude of several hundred millions of dollars. Obviously, having accurate CFD results will inspire confidence in the decision making process. The accuracy of CFD results depend on five governing factors, namely:
- Boundary conditions (information to be provided by the client)
- Experience and track record of the firm in performing similar CFD projects
- Qualification and experience of the CFD specialist performing the simulation
- Quality control system
- Simulation software and hardware employed
One of the most important factors that determines the accuracy of any CFD result is the boundary conditions (BCs). Each of the mathematical equations requires meaningful values at the boundaries of the fluid domain for the calculations to generate reliable results. These numerical values are known as the boundary conditions and can be specified in several ways although in general the specification of multiphase phenomena or phenomena involving reactions is more complex than single phase phenomena. The use of wrong or inaccurate BCs will render the results inaccurate and must be prevented before modelling and simulation commence. We work closely with the clients and provide guidance to ensure that the BCs provided are meaningful, accurate and will lead to results that meet the objectives of the CFD studies. We have successfully delivered projects across many industries which exceeded client’s expectations both from the private and public sectors. The knowledge gained from an industry or project becomes part of the collective experience of the firm and is applied as when required to engineering problems emanating from other industries or projects. Thus, with a strong track record in delivering challenging engineering projects, we know exactly what to do, what directions to take and is strongly poised to provide the most appropriate recommendations to the clients.
Performing CFD simulations without proper knowledge may lead to misleading results. At Jimmy Lea & Chartered Engineers, only CFD consultants with a PhD qualification specialised and experienced in CFD are assigned to deliver CFD-related projects. We offer CFD consulting services substantiated by over 50 years of combined experience using ANSYS Fluent. Currently, our CFD specialists undertake complex projects related to aerodynamic, multiphase, multispecies, multiphysics, reaction chemistry, sliding mesh, combustion, energy and solidification-melting processes. With several PhDs specialised in CFD on-board, it is unsurprising that many clients consider us as a truly specialised engineering firm offering serious CFD consulting as one of its core services. To consistently deliver high quality reports, all projects are subjected to our stringent quality control system. Every stage is checked and reviewed to ensure the inputs or results are numerically accurate and make engineering-sense before being allowed to proceed to the next stage. This strategy prevents small errors emanating from each stage to snowball into a large error which ultimately affects the accuracy of the final results. Upon completion of all modelling and simulation iterations, the final results are independently reviewed by another PhD who has equivalent or more experienced in CFD-related projects. Eventually, all results and reports generated will be approved by our Engineering Director prior to submission to ensure a match between what the clients require and what is delivered. Finally, we invest in ANSYS Fluent with high performance computing (HPC) capability that enables parallel processing of the toughest, higher-fidelity models including more geometric details, larger systems and more complex physics. This allows us to undertake and solve challenging engineering problems at reasonable delivery time.