The two greatest impediments to the acceptances of additive manufacturing is culture and the lack of material property data. The lack of material property data can be addressed by developing modeling software and techniques that accurately predict material properties at various temperatures, processes, thick to thin transitions, geometry, performance, and distortion as these items relate to both single and multi-laser technologies. The conventional approach of printing and heat treating and then testing is too time consuming and too expensive for industry to quickly advance the science of additive manufacturing. In an economy that is struggling with near recession, work force shortages, growth in the number of different alloys used with additive, doing things the same way we did 20 40 years ago is not acceptable. Additive Manufacturing and its supporting technologies must be more responsive to the needs of engineers and scientists with repeatable and verifiable accuracy.
There must also be models that more accurately predict the probability of defects along with the probability of detection to help lower the cost of post build qualification. Companies cannot CT scan or X-ray every part. AM Technology must respond to market needs faster and with less cost and that is going to involve modeling technologies.
While it is recognized the development and validation of AM computational models is the future, today the Federal Aviation Administration and most customers demand performance-based data derived from testing. Machine repeatability is the foundation of Validation and Verification for aviation.
Learning Objectives:
- The engineering community will better understand how to apply ICME techniques for high value printed components
- The engineers will better understand how to implement ICME technology when using AM Technology
- Understand where and how best to apply ICME techniques
