Heat and moisture diffusion in spruce and wood panels computed from 3-D morphologies using the Lattice Boltzmann method

International audienceIn this paper, the Lattice Boltzmann method is used to simulate heat and mass diffusion in bio-based building materials. The numerical method is presented and the methodology developed to reduce the calculation time is described. The 3-D morphologies of spruce and wood fibers are obtained using synchrotron X-ray micro-to-mography. Equivalent macroscopic properties (heat conductivity and mass diffusivity) are therefore determined from the real micro-structure of the materials. The results reveal the anisotropy of the studied materials. The computed equivalent heat conductivity varies from − − 0.036 W m K 1 1 to − − 0.52 W m K 1 1 and the computed di-mensionless mass diffusivity varies from 0.0088 to 0.78 depending on the materials and on the diffusion directions. Using these results, morphology families are identified and simple expressions are proposed to predict the equivalent properties as a function of phase properties and solid fraction

ProMARTES : performance analysis method and toolkit for real-time systems

In this chapter, we present a cycle-accurate performance analysis method for real-time systems that incorporates the following phases: 1. profiling SW components at high accuracy, 2. modeling the obtained performance measurements in MARTE-compatible models, 3. generation, scheduling analysis and simulation of a system model, 4. analysis of the obtained performance metrics, and 5. a subsequent architecture improvement. The method has been applied to a new autonomous navigation system for robots with advanced sensing capabilities, enabling validation of multiple performance analysis aspects, such as SW/HW mapping, real-time requirements and synchronization on multiprocessor schemes. The case-study has proved that the method is able to use the profiled low-level performance metrics throughout all the phases, resulting in high prediction accuracy. We have found a range of inefficient design directions leading to RT requirements failure, and recommended to robot owners a design decision set to reach an optimal solution

UVM-SystemC-AMS based framework for the correct by construction design of MEMS in their real heterogeneous application context

Each new embedded system tends to integrate more sensors with tight software-driven control, digitally assisted analog circuits, and heterogeneous structure. A more responsive simulation environment is needed to support the co-design and verification of such complex architectures including all its digital hardware/software and analog/multi-physical aspects using Multi-Disciplinary Virtual Prototyping (MDVP). Taking a Micro-Electro-Mechanical System (MEMS) vibration sensor as an example, we introduce a reusable framework based on the state-of-the-art technologies SystemC AMS, Finite Elements/Reduced-Order modeling, and UVM to design, simulate, and verify such systems in their real application context