Company Profile

e-Xstream engineering; The Material Modeling Company

e-Xstream engineering is a simulation software company, 100% focused on the modeling of plastic and rubber matrix composites for the optimal, time and costs efficient design of composite parts

e-Xstream engineering develops and commercializes DIGIMAT suite of software, a state of the art multi-scale material modeling platform that fasten the development of optimal composite materials and parts time and cost efficiently for material suppliers and end users in the automotive, aerospace, consumer goods and industrial equipments industries.

DIGIMAT is a set of interoperable modules that allow advanced:

• Material Engineering through the Digimat-MF, Digimat-FE, Digimat-MX modules
• Structural engineering through DIGIMAT' interfaces with FE codes (Abaqus, ANSYS, LS-DYNA, ...)
• Analysis of reinforced plastics parts through DIGIMAT' interfaces with injection molding codes (Moldflow, Moldex3D, Sigmasoft, ...) and its mapping tool Map

DIGIMAT for Plastic
DIGIMAT platform allows accurate modeling of warpage, vibration, stiffness, creep, relaxation and strength of plastic parts subject to quasi-static or crash type of loading conditions by taking into account the fiber orientation, residual stresses and temperature induced by the injection molding process.

DIGIMAT for Rubber
DIGIMAT platform offers basic and advanced tools for homogeneous or composite materials with rubber matrix or rubber blends, taking account of all relevant material behavior.

Our material modeling solution, DIGIMAT; The nonlinear multi-scale materials & structures modeling platform, is an efficient predictive tool that helps simulation engineers, material scientists, chemists, ... designing and manufacturing innovative and optimal composite materials and parts time and costs efficiently.

DIGIMAT addresses the market needs technology to:

• Reduce material testing and parts prototyping
• Improve material understanding and optimize micromechanical pefromance (conductivity, stiffness,...)
• Enhance FEA predictivity and accuracy
• Bridge the gap between the process (e.g injection) and the structure