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PowerINSIGHT

As simulation capabilities have continually increased, the quantity of data produced exceeds the capacity of engineers to extract meaningful information in a timely manner. Little time is available for thorough analysis in increasingly tight design schedules. A wealth of information is barely examined by engineers leaving tremendous value on the table. Even if precious time is taken to extract meaningful results, sharing this information across and between organizations takes significant additional time and effort. This can often cause either product development delays or suboptimal product quality.

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PowerINSIGHT
IMPROVING THE PRODUCT DESIGN & DEVELOPMENT PROCESS THROUGH SIMULATION

Unique, inherently transient Lattice Boltzmann-based physics allows SIMULIA’s PowerFLOW to perform simulations that accurately predict real-world conditions. Using the PowerFLOW suite, engineers evaluate product performance early in the design process prior to any prototype being built—when the impact of change is most significant for design and budgets.

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IMPROVING THE PRODUCT DESIGN & DEVELOPMENT PROCESS THROUGH SIMULATION
PowerTHERM

Thermal management is a critical aspect of vehicle design. When designing with ever-tight packaging and thermally sensitive electronics and plastics for weight reduction, components can exceed safe operating temperature limits and there is potential for systems to fail. Additionally, conditions can degrade nearby components leading to catastrophic durability, safety and warranty issues. Vehicle systems (such as the engine, transmission, HVAC, or power steering) have significant energy requirements and the related thermal efficiency has a direct impact on fuel economy, performance and passenger comfort. Careful analysis of cooling airflow, component placement and thermal shielding is required to avoid costly late-stage design fixes - or worse, failures in operation.

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PowerTHERM
THE DIGITAL CORE ANALYSIS LAB

DigitalROCK uses digital imaging and simulation to measure important rock properties accurately and efficiently. Multi-phase relative permeability and capillary pressure results are available in days instead of waiting months for physical lab testing. Faster access to more data reduces uncertainties, improves reservoir modeling, and informs key field planning and engineering decisions.

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THE DIGITAL CORE ANALYSIS LAB
Direct Noise Computation with a Lattice-Boltzmann Method and Application to Industrial Test Cases

The Direct Noise Computation (DNC) approach is challenging in Computational Aero-Acoustics (CAA) since the computation of the pressure fluctuations requires the resolution of unsteady and compressible flows. Indeed, most numerical methods such as the finite volume and element methods face limitations to efficiently resolve the unsteady compressible Navier-Stokes equations for turbulent flows and the computational costs is extremely high. Instead, steady-state analysis with Reynolds-Averaged Navier-Stokes (RANS) turbulence modeling is generally preferred, however this prevents from a direct computation of the noise as only the mean pressure field is obtained. The use of artificial viscosity is also required to achieve numerical stability, which dampens the high frequency physics.

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Direct Noise Computation with a Lattice-Boltzmann Method and Application to Industrial Test Cases
Modeling Natural Fracture Activation Using a Poro-elastic Fracture Intersection Model

Pre-existing natural fractures in a hydrocarbon reservoir complicate the hydraulic fracture growth and consequently, the microseismic event interpretation. Due to the misalignment of the natural fractures with respect to the far-field principal stresses, shear slippage is introduced as a failure mode or microseismic source along natural fractures. This failure mode, however, leaves a concern about the connectivity of the induced fracture network in order to enhance hydrocarbon production. A poro-elastic fracture intersection and propagation model can rigorously address this concern.

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Modeling Natural Fracture Activation Using a Poro-elastic Fracture Intersection Model

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