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MMI ConfidentDesign™ – Digimat Quantitative Modelling - SOLVAY ENGINEERING PLASTICS

 
 
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Digimat-RP
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Fatigue failure of injection molded bow limbs - SOLVAY

 
 
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Consumer Electronics
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Stiffness of bracket in reonforced PBT - SCHNEIDER

 
 
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Automotive

Impact on a stiffener for lower B-pillar

 
 
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Automotive

Pedestrian Safety & Frontal Car Crash

 
 
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Engine Backfire in an Air Intake Manifold

 
 
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Curing of Carbon Fiber Reinforced Plastics (CFRP)

 
 
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Thermo-mechanical design of an ultra-light satellite antenna

 
 
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Continuous Fiber Reinforcement in Wind Turbine Rotor Blades

 
 
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Damage behavior of highly porous ceramics

 
 
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Barely visible damage in laminate structures

 
 
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ALTAIR - Bird strike on an aeroplane underbely fairing

 
 
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Airbag Deployment – Analysis of the Housing Strength


 
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Medicrea

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Medical Devices

Digital material design for spinal disc prosthesis

Overview:
Spinal injury and the gradual deterioration of spinal discs are the leading causes of back pain and spinal disorders. Today the most effective way of permanently treating these illnesses are through surgical intervention. One of the most promising surgical options under continuous development is the use of artificial implants to replace the patient’s natural spinal disc.
Challenge:
The challenge when designing implants made of these materials is the ability to take advantage of the flexible performance of the material based on the manufacturing process used to create it. The mechanical properties of an implant designed with fiber-reinforced plastics can vary widely depending on the properties of the constituent materials (i.e. fibers and matrix) and the process used to manufacture them into the final part.
Solution:
Digimat produces a much more accurate prediction of the material behavior for materials such as fiber reinforced plastics. The process is simple. Start with the same finite element model of the implant that is used for the existing analysis. Digimat will work with any major finite element solver. Next, request the injection mold simulation results from the manufacturer.
Results Validation:
The attention to material details result in more accurate simulations that reduce test/analysis iterations and improve performance predictions. In the case of the Medicrea design, the original isotropic simulation over-predicted the implant’s stiffness by as much as 170%! The same simulation using a Digimat material model that accounted for both changes in fiber orientations as well as plastic deformations matched the test results almost perfectly.
Benefits:
“Simulations allow both optimization of production process and mechanical efficiency of implants. They will reduce the development process for range extension already planned.” - Thomas Mosnier, R&D Manager, Medicrea

 
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