Company:

SABIC

Products:

Digimat

Industries:

Medical Devices

Accurate prediction of part performance in response to static loads for short fiber reinforced composites - SABIC

Overview:

SABIC uses Digimat for high-fidelity anisotropic simulation, considering manufacturing effects and non-linear material behavior


 
DOWNLOAD

Company:

Products:

Digimat

Industries:

Medical Devices

Anisotropic explicit simulation, considering manufacturing effects and nonlinearity - SABIC

Overview:
For short fiber reinforced composites, SABIC uses Digimat to define nonlinear strain rate dependent material model for accurate prediction of part performance under impact loads.

 
DOWNLOAD

Company:

Products:

Digimat
Digimat Virtual Allowables
MaterialCenter
Objectives
Overview
Technology

Industries:

Aerospace
Automotive
Autonomous driving
Latest Digimat release
Material Suppliers
Others

Validating Digimat-VA from the coupon tests (NAL)

Overview:

Challenge: Characterization of CFRP using virtual allowable

Solution: Multiscale non-linear VA simulation

 
 
DOWNLOAD

Company:

Products:

Digimat
Digimat-RP
Technology

Industries:

Automotive
Consumer Electronics
Latest Digimat release
Material Suppliers
Others

Influence of fibre orientation in the design of a collector box ground cable retention feature - INTEVA

Challenge:
Evaluate the strength of the retention feature during its assembly with the stator-can and satisfy the retention force requirement using Digimat coupled simulations
Solution:
Anisotropic non-linear simulation, considering manufacturing effects and stiffness and strength predictions

 
DOWNLOAD

Company:

Products:

Digimat
Digimat-RP
Fatigue & Durability
Interfaces to Fatigue
Interfaces to FEA
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Automotive
Autonomous driving
Latest Digimat release
Material Suppliers

Fatigue lifetime prediction of short fiber reinforced plastics (SFRP) - DSM

Overview:

SFRPs are increasingly used, especially in the automotive industry.

Metal replacement for assembly reduction and light weighting are the first drivers. But after having tackled the spatially varying stiffness and anisotropy and more recently the failure prediction, more advanced performances have to be addressed such as durability.


 
DOWNLOAD

Company:

Products:

Digimat
Digimat-RP
Fatigue & Durability
Interfaces to Fatigue
Interfaces to FEA
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Automotive
Autonomous driving
Latest Digimat release
Material Suppliers

Database management for static and enhanced CAE analysis - RADICI GROUP

Overview:

Radici Group is an Italian privately held company acting worldwide in the chemical, synthetic fibers and engineering plastics sector. In the High Performance Polymer Division, they produce materials for engineering applications. CAE support is often required during this process, where it is crucial to generate and store simulated material cards in an easy to use and reliable manner.

Digimat with its many tools not just offers a powerful solution for reverse engineering experimental data, but also makes that data easily accessible through its own database (Digimat-MX). Thanks to compatibility with all CAE simulation techniques commonly used in the industry, Digimat effectively gives Radici Group a way to handle all their activities within just one unified platform.


 
DOWNLOAD

Company:

Products:

Digimat
Digimat Virtual Allowables
Interfaces to FEA
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Aerospace
Latest Digimat release
Material Suppliers
Others

Digimat allows to significantly decrease safety margins and reduce weight - SONACA


 
DOWNLOAD

Company:

Products:

Digimat
Digimat-RP
Fatigue & Durability
Interfaces to Fatigue
Interfaces to FEA
Material Engineering
Structural Engineering
Technology

Industries:

Automotive
Material Suppliers
Others

Simulating SMC part response with greater confidence using Digimat - Auto OEM

Overview:
While Sheet Molded Compound (SMC) materials have been widely used in the automotive industry for some time, recently there has been a move to apply SMCs on more structurally demanding components. Though the material has long been considered quasi-isotropic with relative success, it has become apparent in industry that due to the complex manufacturing process, optimal structural design is not possible without considering the real anisotropic nature of the material.. With growing demand from the market, now is the time to leverage advanced SMC modeling capabilities targeting crash performance.

 
DOWNLOAD

Company:

Products:

Complete Solution to Accelerate the Design of Reinforced Plastic Parts
Digimat
Digimat-AM
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Aerospace
Automotive
Consumer Electronics
Latest Digimat release
Material Suppliers
Medical Devices
Others

Simulating effects of warpage in an additively manufactured composite layup tool - STRATASYS


 
DOWNLOAD

Company:

Ford Motor Company

Products:

Complete Solution to Accelerate the Design of Reinforced Plastic Parts
Digimat
Digimat-AM
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Automotive
Material Suppliers

Advanced anisotropic damping modeling for NVH optimization - FORD MOTOR COMPANY

Overview:
The Ford Motor Company uses glass fiber reinforced plastic materials for powertrain parts such as engine covers, air intakes and engine oil pans. These materials offer numerous benefits with regards to automotive component design including lightweighting and a better damping compared to metal. However, due to the complexities of the composite material microstructure which arise due to the manufacturing process, both the stiffness and damping of reinforced plastic materials are frequency dependent and locally anisotropic. The efficient design of such components from an NVH perspective requires the use of adapted techniques that can account for these specificities, from the material characterization stage up to the performance prediction of each design iteration.
Challenge:
The challenge can be framed as follows: • How to build a material model capable of capturing the correct local anisotropic stiffness and damping behaviors depending on the frequency and the local fiber orientation? • How do the microstructure parameters influence the part’s NVH behavior? The Ford Motor Company can see a great opportunity to employ this technique not only as a predictive simulation methodology but also as a tool to fine-tune the parameters which drive a given part’s microstructure. This brings 2 benefits: • The part’s NVH performance as well as weight will be optimized • It reduces the need for corrective actions which typically increase component weight in order to meet acoustic targets
Solution:
The technology developed by e-Xstream engineering in Digimat has been applied on 2 components: • An engine oil pan in order to: - Apply the procedure to create a visco-elastic material model from DMA test data - Demonstrate the accurate prediction of eigenfrequencies and acceleration peaks when applied on a FRF FEA compared to experiment. • An engine bracket in order to: - Estimate the extent to which fiber orientation, fiber mass fraction and fiber length can influence a component’s NVH behavior For each application, the fiber orientation distributions have been mapped onto the Nastran structural meshes. The effect of the manufacturing process on the prediction of the components behavior is taken into account via the mapped fiber orientations which have been associated with a multi-scale visco-elastic material model in FEA. For the engine bracket application, the mass fraction and the fiber length have been modified directly in the material file in order to gauge their influence on the simulation.
Results Validation:
The engine oil pan case study has demonstrated a significant improvement in how frequencies and acceleration peaks are identified compared to the usual isotropic method applied by Ford Motor Company: see Fig. 1 The engine bracket case study reveals that each microstructure parameter (the fiber orientation, the fiber length and the fiber mass fraction) has a significant potential influence on the component’s performance, enabling them to be considered as design parameters. Hence, by fine-tuning the material microstructure of the injected composite, a design engineer can optimize the component’s performance in terms of damping and lightweighting: see Fig. 2

 
DOWNLOAD

Company:

Products:

Digimat-RP

Industries:

Automotive

Digimat helps shortening the early design development cycle of an SFRP - SOKARIS


 
DOWNLOAD

Company:

Products:

Digimat
Digimat Virtual Allowables

Industries:

Aerospace

Computation of Allowable Values for CFRP - LEONARDO COMPANY


 
DOWNLOAD

Company:

Products:

Digimat-RP
Interfaces to Injection Molding

Industries:

Aerospace
Automotive

Acoustic Simulation of Anisotropic Injection Moulded Parts - IPPS

 
 
DOWNLOAD

Company:

Products:

Digimat
Digimat-AM
Digimat-RP
Interfaces to Injection Molding
Material Engineering
Objectives
Overview
Structural Engineering
Technology

Industries:

Aerospace
Automotive
Consumer Electronics
Latest Digimat release
Material Suppliers
Medical Devices
Others

Ultimate strength prediction of a plenum under pressure produced by selective laser sintering - SOLVAY


 
DOWNLOAD

Company:

Products:

Digimat-RP

Industries:

Automotive
Consumer Electronics
Material Suppliers
Others

Identifying the best design configuration with Digimat-RP/Moldex3D


 
DOWNLOAD

Pages