To be competitive in global markets, there is a continual need to find new processes, equipment, and structures, and improve the performance of those you already have. Increased energy efficiency. Reduced plant downtime. Minimized technological risk. New and emerging technologies implemented safely. Those are always the goals. But they can be difficult to achieve.

Sometimes, empirical methods and "rules of thumb" aren't sufficient for engineering designs. Real-world problems need new, innovative engineering solutions. Specialized engineering analysis and advanced design (SEAD) methodologies can provide ways to achieve these goals. With a fundamental understanding of the underlying physical phenomena, complex engineering problems can be resolved, and practical, economically viable solutions developed.


Advanced monitoring & controls

You need processes to be as efficient as possible, able to adapt to unexpected changes. Experienced professionals and advanced controls help reduce process variability to increase throughput. Innovative tools help control complex and non-linear systems, including neural networks, expert systems, and fuzzy logic.

Computational fluid dynamics

Computational fluid dynamics (CFD) is a powerful tool for predicting heat and fluid flow in real applications. Applied to design evaluations and optimization, it helps problem-solve process equipment, gas-handling systems, and building ventilation issues. CFD provides insight into flow problems for design and operating analysis. It minimizes the need for costly pilot-plant testing and in-plant trials, increasing confidence and reducing technological risk.

Finite element analysis

The accurate estimation of stresses and other parameters is critical for the safety and reliability of your equipment and structures. Finite element analysis (FEA) is used to calculate component displacements, strains, and stresses under internal and external loads. It is also used to perform vibration, thermal, fluid-flow, and other analyses. Our experts use FEA to optimize designs, improving service life and safety. It can also be used as a tool in failure analysis.

Logistics dynamic simulation

A logistics-based simulation model visualizes how entities flow through a system, compete for resources, get processed, and more. In the mining industry, these simulations help make sure projects get done right the first time. Designs are robust enough to allow consistent, reliable, and efficient production performance with neither over- nor under-investment.

Physical modeling

Physical modeling is a cost-effective and practical tool for design optimization and problem-solving. Scaled model studies that are developed using the principles of dynamic similitude advance our understanding of the process. Results are presented in a meaningful way to improve design work.


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