Direct FEM computation of turbulent multiphase flow in 3D priting nozzle design

In this paper, we present a nozzle design of the 3D printing using FEniCS-HPC as mathematical and simulation tool. In recent years 3D printing or Additive Manufacturing (AM) has become a emerging technology and it has been already in use for many industries. 3D printing considered as a sustainable production or eco-friendly production, where one can minimize the wastage of the material during the production. Many industries are replacing their traditional parts or product manufacturing into optimized or smart 3D printing technology. In order to have 3D printing to be efficient, this should have optimized nozzle design. Here we design the nozzle for the titanium material. Since it is a metal during the process it has to be preserved by the inert gas. All this makes this problem comes under the multiphase flow. FEniCS-HPC is high level mathematical tool, where one can easily modify a mathematical equations according to the physics and has a good scalability on massively super computer architecture. And this problem modelled as Direct FEM/General Galerkin methodology for turbulent incompressible variable-density flow in FEniCS-HP

A micromechanical fracture analysis to investigate the effect of healing particles on the overall mechanical response of a self-healing particulate composite

A computational fracture analysis is conducted on a self‐healing particulate composite employing a finite element model of an actual microstructure. The key objective is to quantify the effects of the actual morphology and the fracture properties of the healing particles on the overall mechanical behaviour of the (MoSi2) particle‐dispersed Yttria Stabilised Zirconia (YSZ) composite. To simulate fracture, a cohesive zone approach is utilised whereby cohesive elements are embedded throughout the finite element mesh allowing for arbitrary crack initiation and propagation in the microstructure. The fracture behaviour in terms of the composite strength and the percentage of fractured particles is reported as a function of the mismatch in fracture properties between the healing particles and the matrix as well as a function of particle/matrix interface strength and fracture energy. The study can be used as a guiding tool for designing an extrinsic self‐healing material and understanding the effect of the healing particles on the overall mechanical properties of the material

A cohesive-zone crack healing model for self-healing materials

A cohesive zone-based constitutive model, originally developed to model fracture, is extended to include a healing variable to simulate crack healing processes and thus recovery of mechanical properties. The proposed cohesive relation is a composite-type material model that accounts for the properties of both the original and the healing material, which are typically different. The constitutive model is designed to capture multiple healing events, which is relevant for self-healing materials that are capable of generating repeated healing. The model can be implemented in a finite element framework through the use of cohesive elements or the extended finite element method (XFEM). The resulting numerical framework is capable of modeling both extrinsic and intrinsic self-healing materials. Salient features of the model are demonstrated through various homogeneous deformations and healing processes followed by applications of the model to a self-healing material system based on embedded healing particles under non-homogeneous deformations. It is shown that the model is suitable for analyzing and optimizing existing self-healing materials or for designing new self-healing materials with improved lifetime characteristics based on multiple healing events

Direct FEM large scale computation of turbulent multiphase flow in urban water systems and marine energy

High-Reynolds number turbulent incompressible multiphase flow represents a large class of engineering problems of key relevance to society. Here we describe our work on modeling two such problems: 1. The Consorcio de Aguas Bilbao Bizkaia is constructing a new storm tank system with an automatic cleaning system, based on periodically pushing tank water out in a tunnel 2. In the framework of the collaboration between BCAM - Basque Center for Applied Mathematics and Tecnalia R & I, the interaction of the sea flow with a semi submersible floating offshore wind platform is computationally investigated. We study the MARIA' benchmark modeling breaking waves over objects in marine environments. Both of these problems are modeled in the the Direct FEM/General Galerkin methodology for turbulent incompressible variable-densitv flow 1,2 in the FEniCS software framework

Towards HPC-Embedded Case Study: Kalray and Message-Passing on NoC

Today one of the most important challenges in HPC is the development of computers with a low power consumption. In this context, recently, new embedded many-core systems have emerged. One of them is Kalray. Unlike other many-core architectures, Kalray is not a co-processor (self-hosted). One interesting feature of the Kalray architecture is the Network on Chip (NoC) connection. Habitually, the communication in many-core architectures is carried out via shared memory. However, in Kalray, the communication among processing elements can also be via Message-Passing on the NoC. One of the main motivations of this work is to present the main constraints to deal with the Kalray architecture. In particular, we focused on memory management and communication. We assess the use of NoC and shared memory on Kalray. Unlike shared memory, the implementation of Message-Passing on NoC is not transparent from programmer point of view. The synchronization among processing elements and NoC is other of the challenges to deal with in the Karlay processor. Although the synchronization using Message-Passing is more complex and consuming time than using shared memory, we obtain an overall speedup close to 6 when using Message-Passing on NoC with respect to the use of shared memory. Additionally, we have measured the power consumption of both approaches. Despite of being faster, the use of NoC presents a higher power consumption with respect to the approach that exploits shared memory. This additional consumption in Watts is about a 50%. However, the reduction in time by using NoC has an important impact on the overall power consumption as well

Time-resolved Adaptive Direct FEM Simulation of High-lift Aircraft Configurations

Our simulation methodology is referred to as Direct FEM Simulation (DFS), or General Galerkin (G2) and uses a finite element method (FEM) with piecewise linear approximation in space and time, and with numerical stabilization in the form of a weighted least squares method based on the residual. The incompressible Navier-Stokes Equations (NSE) are discretized directly, without applying any filter. Thus, the method does not result in Large Eddy Simulation (LES) filtered solutions, but is instead an approximation of a weak solution satisfying the weak form of the NSE. In G2 we have a posteriori error estimates for quantities of interest that can be expressed as functionals of a weak solution. These a posteriori error estimates, which form the basis for our adaptive mesh refinement algorithm, are based on the solution of an associated adjoint problem with a goal quantity (the aerodynamic forces in this work) as data, similarly to an optimal control problem. We provide references to related work below. The methodology and software have been previously validated for a number of turbulent flow benchmark problems, including one of the HiLiftPW-2 high Reynolds number cases. The DFS method is implemented in the Unicorn solver, which uses the open source software framework FEniCS-HPC, designed for automated solution of partial differential equations on massively parallel architectures using the FEM. In this chapter we present adaptive results from the Third AIAA High Lift Prediction Workshop in Denver, Colorado based on our DFS methodology and Unicorn/FEniCS-HPC software. We show that the methodology quantitavely and qualitatively captures the main features of the experiment - aerodynamic forces and the stall mechanism with a novel numerical tripping, with a much coarser mesh resolution and cheaper computational cost than the standard in the field

Impact of sand organic carbon and climatic changes on the population density and morphometric characters of Emerita asiatica in the East Coast of Southern India

240-244A population density of Emerita asiatica in relation to sand organic carbon in the Nemmeli beach, East coast, Kanchipuram District of Tamil Nadu was studied. Specimens were collected once in a fortnight from April 2017 to March 2018 by hand picking method in the intertidal region of Nemmeli beach. The total sand organic carbon level was recorded once in a fortnight. The population presented a smaller incidence of males in relation to females (48.66:51.34); however, in May 2017 an inverse pattern occurred (73:27). Ovigerous females were present in all samples with greater frequencies in October and November 2017 whereas, the highest juveniles were present in May and September 2017. The variation noted in a population of Emerita asiatica showed there is a relationship to sand organic carbon fluctuations; it can be determined that the sand organic carbon fluctuations have an influence on the population density of this species in Nemmeli beach. Hence, the rather stable sand organic carbon throughout the year and moderate changes in the sand may well be conducive to population biology of Emerita asiatica

Impact of sand organic carbon and climatic changes on the population density and morphometric characters of Emerita asiatica in the East Coast of Southern India

A population density of Emerita asiatica in relation to sand organic carbon in the Nemmeli beach, East coast, Kanchipuram District of Tamil Nadu was studied. Specimens were collected once in a fortnight from April 2017 to March 2018 by hand picking method in the intertidal region of Nemmeli beach. The total sand organic carbon level was recorded once in a fortnight. The population presented a smaller incidence of males in relation to females (48.66:51.34); however, in May 2017 an inverse pattern occurred (73:27). Ovigerous females were present in all samples with greater frequencies in October and November 2017 whereas, the highest juveniles were present in May and September 2017. The variation noted in a population of Emerita asiatica showed there is a relationship to sand organic carbon fluctuations; it can be determined that the sand organic carbon fluctuations have an influence on the population density of this species in Nemmeli beach. Hence, the rather stable sand organic carbon throughout the year and moderate changes in the sand may well be conducive to population biology of Emerita asiatica

Finite Element Simulations of Two-phase Flow and Floating Bodies Using FEniCS-HPC

We present a variational multiscale stabilized finite element method to solve the variable density incompressible Navier-Stokes equations for the simulation of two-phase flow. We introduce a level-set method based on the compression technique similar to [1]. For the simulation of floating devices we make use of a simplified rigid body motion scheme and a deforming mesh approach [2]. The mesh deforms elastically following the movement of the body. An implicit turbulence model is used where turbulence is modelled by the numerical stabilization. The described methods are implemented in the open source software framework FEniCS-HPC [3] provided with an automated methodology for discretization and error control. We are working in a project for marine energy generation together with Tecnalia R&I. In this context we simulate floating platforms that will be used for marine energy generation or device experimentation in the ocean. The aim is to study the dynamics of this kind of off-shore devices. Our simulation results are compared against the experimental data obtained by Tecnalia R&I company in the experimental tank of CEHIPAR in Spain. We also participate in the IEA-OES Task 10 project where different simulations of floating bodies are carried out. The results are compared against other groups simulations that use different methodologies