Request Evaluation

MCQ

MCQs

MCQ (Material Characterization & Qualification) is the material modeling tool that enables ultra-rapid design and analysis of advanced composite materials, such as continuous & discontinuous PMC, CMC and MMC. MCQ is analytically based utilizing a unit cell approach for assessing material behavior. It models all types of composite architecture, including 2D/3D woven and braided material using multi-scale physics-based micro/macro mechanics formulations. It accounts for “as built” and “as-is” states taking into consideration manufacturing defects, and effect of uncertainties in material properties and specimen geometry. MCQ output can be used as input into finite element solvers such as Abaqus, Ansys, Ls-dyna, NX-Nastran, and MSC-Nastran. Fast, powerful and an easy to use, MCQ is the solution for your material modeling needs.

BUSINESS VALUE

  • Rapid assessment of properties
  • Reduction in testing with cost savings
  • Validated material library
  • Strength allowable for reliability
  • Identification of damage initiation/propagation to failure
  • Identification of damage/failure modes
  • Results verified with test data
  • Multi-scale progressive failure analysis

Modules

Case Studies

Download the latest case study.

PDF-Icon

Datasheet

Download the latest datasheets.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from Youtube
Vimeo
Consent to display content from Vimeo
Google Maps
Consent to display content from Google
Spotify
Consent to display content from Spotify
Sound Cloud
Consent to display content from Sound
Request Evaluation