AMIIC offers training to facilitate government and industry adoption and individual credentialing, in order to respond to the evolving supply and demand of the workforce pipeline. All courses and learning objectives have been developed to meet the advanced manufacturing requirements of Redstone Arsenal. Training will be offered in live, virtual, hands-on and hybrid formats. View our course training opportunities below to view their full descriptions.
-Learn the requirements and guidance detailed in the DA Policy
-Describe the basic principles of Advanced Manufacturing (AdvM)
-Understand the behaviors necessary to incorporate AdvM into the materiel life cycle- practical considerations, organizational responsibilities, etc.
– Summary: Overall survey of current MBSE applications and value to the organization such as paperless reviews, single source of truth data (configuration management linkage), and expedited Design, Development, Test & Evaluation (DDT&E) life-cycle
– Summary: Deeper discussion of available tools and effective approaches in applying the SysML operating language appropriate for casual users and peer groups that will interact with the models
-Understand the types of optical measurement tools and their applications
-Understand data output types and post-processing techniques
-Understand uses of measurement tools for inspection
-Describe the uses of Digital Image Correlation
-Describe key features and benefits of digital assemblies and digital twins
-Identify the seven process categories of Additive Manufacturing (AM)
-Understand the AM workflow (design, fabrication, post-processing, etc.)
-Learn the benefits and limitations of AM
-Understand reverse engineering and 3D scanning basics
– Participate in live demonstration on an ATOS scanner
– Apply basic data capture techniques using optical measurement systems and tools
– Describe system calibration process and importance
– Describe basics of the reverse engineering process
– Understand basics of 3D inspection techniques
– Summary: Best practice modeling building blocks and applications across the system engineering life cycle. Expands on the 8-hour Introduction to demonstrate model interactions/behaviors application across physical/digital system engineering life cycle of requirements, design, analysis, verification and validation.