Digimat: Nonlinear Multi-scale Material and Structure Modeling Platform

Digimat technology provides design tools that give the user 100% confidence in their composites products thanks to an accurate description of the local composite behavior. Accurate material modeling allows one to reduce the "factor of safety" - allowing composite materials to used to 100% of their potential, maximizing their competitiveness against metal and leading to substantial weight reduction. Digimat tools integrate smoothly within the current FEA process, bridging the gap between manufacturing process and structural analysis.

Digimat technology connects the whole value chain together (Material Suppliers, Tier1 and OEMs) and helps to:

  • Investigate and predict the behavior of a large mix of composite materials
  • Design & Manufacture Innovative High-Performance Composite Parts
  • Minimize weight, cost and time-to-market optimal composite industrial parts
  • Improve prediction of structural FEA by accounting for manufacturing process
  • Reduce material testing and prototyping

More than just software, Digimat brings and organizes together the complete composite market, bridging the gap between manufacturing and performance. Digimat lets engineers do both micro- and macro-scale analyses of composites, predicting how they will perform and calculating their mechanical, thermal and electrical properties for use in all sorts of downstream FEA analyses.

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We pride ourselves on empowering each client to overcome the challenges of their most demanding projects.

Enteknograte offers a Virtual Engineering approach with FEA tools such as MSC Softwrae(Simufact, Digimat, Nastran, MSC APEX, Actran Acoustic solver), ABAQUS, Ansys, and LS-Dyna, encompassing the accurate prediction of in-service loads, the performance evaluation, and the integrity assessment including the influence of manufacturing the components.
e-xstream digimat hexagon msc

Finite element simulation of woven fabric composites

Woven composites are typically draped onto more or less complex surfaces to produce structural parts. The overall objective is to use light-weight materials with the best stiffness and strength properties possible. The draping process can have significant impact on local warp and weft angles which leads to a local variation of effective material properties. Understanding the connection between the warp / weft microstructure, the resulting material properties and finally their influence on the part performance is crucial knowledge in the design process of woven composite structure.
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Finite Element Simulation of Braided Composites

With braided composites, the reinforcement does not need to be cut to shape from a roll and laid down onto the mold. It is directly braided around a mandrel which has the shape of the part to be made. This speeds up the manufacturing process but requires a dedicated equipment. This process further makes it possible to produce more complex parts which, however, are limited to convex shapes and hollow profiles.
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Unidirectional composites (UD) Simulation-Based Design

Unidirectional composites (UD) offer a large playground to tune optimal material properties. Thermoset and thermoplastic matrices are reinforced with different types of fibers: glass, carbon, aramid, etc. UD fibers are straight and non-crimped. In the laminate, they are laid up in specific stacking sequences, varying the fiber volume fraction, the thickness and orientation of plies.
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Discontinuous Fiber Composites: Finite Element Simulation

Discontinuous fiber composites (DFC) are produced by compression molding of prepreg chips which are made of a combination of unidirectional fiber and a Thermoset or ThermoPlastic matrix. In some cases, matrix is made of thermoset which consolidate through a chemical/cure reaction at elevated temperature. However, when the curing cycle is not well monitored it can be observed some cracks that appear between the chips due to apparition of thermal stresses normal to two chips.
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Hard Metal: Finite Element Simulation for Mechanical Properties on the Microstructural Level

Hard metals are functional materials with tuned performances arising from the composite microstructure. Understanding those composites on the microstructural level is key for material suppliers who need to innovate their products. Hard metals are two-phase materials with significantly differing mechanical properties on the microstructural level. Material properties are tuned by varying the content and microstructure of a hard inclusion phase. Key to further material development is to understand and optimize microstructural stresses in the composite.
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FEA Based Simulation of Rubber Matrix Composite: Tires, anti-vibration systems, seals or hoses

Tires, anti-vibration systems, seals or hoses are rubber based components which turn into high-tech systems as soon as their material properties are tuned by embedded inclusions. A simple tire unfolds its performance due to influences from various scales. On the microscopic scale carbon black or mica particles are filled into the rubber matrix to compound materials with specific properties. On the belt edge a sophisticated weave of embedded steel fibers controls the footprint of the tire.
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Plastic materials: Thermoplastics (PA, PP, PC, POM, PPA) and Thermosets (Epoxy, Polyurethane) reinforced with short, long or continuous glass and/or carbon fibers

For Plastic Materials such as Thermoplastics (PA, PP, PC, POM, PPA) and Thermosets (Epoxy, Polyurethane) reinforced with short, long or continuous glass and/or carbon fibers, taking into account the effect of the manufacturing process, like compression and injection molding of the performance of the part, is the most important challenge in design procedure. Enteknograte engineering team use FEA based simulation and design within advanced CAE software for investigation of modal, creep, stiffness, crash, durability/fatigue of plastic material based structures.
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Composites Fatigue Finite Element Simulation

The structural durability of a component is one of the most expensive attributes to test, thus one of the most appealing for CAE. Fatigue modeling of chopped and continuous fiber polymer composites is challenging due to their anisotropic, heterogeneous and viscous material properties as well as their process-dependent microstructure. For simulation of high cycle fatigue (HCF) of fiber reinforced composites we use FEA tools Like VirtualLab Durability, nCode DesignLife , MSC CAEFatigue and FE-SAFE.
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Finite Element Simulation of Crash Test and Crashworthiness with LS-Dyna, Abaqus and PAM-CRASH

Crashworthiness focuses on occupant protection to reduce the number of fatal and serious injuries. This research is responsible for developing and upgrading test procedures for evaluating motor vehicle safety. Crashworthiness research encompasses new and improved vehicle design, safety countermeasures and equipment to enhance occupant safety. Finite Element Analysis (FEA) has been the trend in virtual crash design over the last decade. The predictive capabilities of FEA allow engineers to fully understand a crash event in a virtual environment, thus limiting the number of physical tests that need to be executed and thus saving costs.
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Seat Design: Finite Element and CFD Simulation for Static & Dynamic Comfort, Whiplash, Acoustic & Thermal Comfort, Crash Test

Simulation Based Design can help us to ensure the right occupant posture, which is essential for safety, Static and Dynamic Comfort, for example by predicting the H-Point and incorporating whiplash, thermal and Acoustic comfort simulation. The ability to predict the comfort of innovative seat designs using simulation tools, a library of human models with our team experience in CFD (Siemens Start-ccm+, Ansys Fluent and OpenFoam) and FEA (Ansys LS-DYNA, Simulia Abaqus, ESI Pam-Crash and Altair RADIOSS) simulation software with integrated Artificial Intelligence and Machine Learning for innovative design, can help manufacturers to create seats that provide a superior driving experience for their customers.
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Acoustics and Vibration: FEA and CFD for AeroAcoustics, VibroAcoustics and NVH Analysis

Noise and vibration analysis is becoming increasingly important in virtually every industry. The need to reduce noise and vibration can arise because of government legislation, new lightweight constructions, use of lower cost materials, fatigue failure or increased competitive pressure. With deep knowledge in FEA, CFD and Acoustic simulation, advanced Acoustic solvers and numerical methods used by Enteknograte engineers to solve acoustics, vibro-acoustics, and aero-acoustics problems in automotive manufacturers and suppliers, aerospace companies, shipbuilding industries and consumer product manufacturers.
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FEA Based Composite Material Design and Optimization: MSC Marc, Abaqus, Ansys, Digimat and LS-DYNA

Finite Element Method and in general view, Simulation Driven Design is an efficient tool for development and simulation of Composite material models of Polymer Matrix Composites, Metal Matrix Composites, Ceramic Matrix Composites, Nanocomposite, Rubber and Elastomer Composites, woven Composite, honeycomb cores, reinforced concrete, soil, bones ,Discontinuous Fiber, UD Composit and various other heterogeneous materials.
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Heat Transfer and Thermal Analysis: Fluid-Structure Interaction with Coupled CFD and Finite Element Based Simulation

We analyze system-level thermal management of vehicle component, including underhood, underbody and brake systems, and design for heat shields, electronics cooling, HVAC, hybrid systems and human thermal comfort. Our Finite Element (LS-Dyna, Ansys, Abaqus) and CFD simulation (Siemens Start-ccm+, Ansys Fluent , Ansys CFX and OpenFoam) for heat transfer analysis, thermal management, and virtual test process can save time and money in the design and development process, while also improving the thermal comfort and overall quality of the final product.
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Integrated Artificial Intelligence (AI) & Machine Learning - Deep Learning with CFD & FEA Simulation

Machine learning is a method of data analysis that automates analytical model building. It is a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. With Artificial Intelligence (AI) applications in CAE, that is Mechanical Engineering and FEA and CFD Simulations as design tools, our CAE engineers evaluate the possible changes (and limits) coming from Machine learning, whether Deep Learning (DL), or Support vector machine (SVM) or even Genetic algorithms to specify definitive influence in some optimization problems and the solution of complex systems.
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Vibration Fatigue Finite Element Simulation: Time & Frequency Domain

Structural vibration can be a source for many product related problems; it can cause fatigue and durability problems as well as adverse reactions to the user or bystanders in the form of undesirable vibrations that can be felt or heard. As well, undesired structural vibrations can prevent products from operating as required and potentially becoming a safety concern. The Vibration Fatigue simulation predict fatigue in the frequency domain and it is more realistic and efficient than time-domain analysis for many applications with random loading such as wind and wave loads.
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eVTOL (Electric Vertical Take-Off and Landing) & UAM (Urban Air Mobility)

FEA & CFD Based Simulation for Airworthiness Certification, Aerodynamics, Aeroacoustics and Crashworthiness
The VTOL, eVTOL and UAM market is constantly changing and evolving, so maintaining a competitive edge both within the industry and supporting mission effectiveness requires significant research and development activities. Enteknograte offers the industry’s most complete simulation solution for Urban Air Mobility (UAM) and Vertical Take off and Landing (VTOL) aircrafts.
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Finite Element Analysis of Durability and Fatigue Life

Vibration Fatigue, Creep, Welded Structures Fatigue, Elastomer and Composite Fatigue with Ansys Ncode, Simulia FE-Safe, MSC CAEFatigue, FEMFAT
Durability often dominates development agendas, and empirical evaluation is by its nature time-consuming and costly. Simulation provides a strategic approach to managing risk and cost by enabling design concepts or design changes to be studied before investment in physical evaluation. The industry-leading fatigue Simulation technology such as Simulia FE-SAFE, Ansys Ncode Design Life and FEMFAT used to calculate fatigue life of multiaxial, welds, short-fibre composite, vibration, crack growth, thermo-mechanical fatigue.
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Additive Manufacturing and 3D Printing

FEA Based Design and Optimization with Simufact, Abaqus, ANSYS and MSC Apex for powder bed fusion (PBF), directed energy deposition (DED) and binder jetting processes
With additive manufacturing, the design is not constrained by traditional manufacturing requirements and specific number of design parameters. Nonparametric optimization with new technologies such as Artificial Intelligence in coupled with Finite Element method, can be used to produce functional designs with the least amount of material. Additive manufacturing simulations are key in assessing a finished part’s quality. Here at Eneteknograte, dependent of the problem detail, we use advanced tools such as MSC Apex Generative Design, Simufact Additive, Digimat, Abaqus and Ansys.
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