Predictive Performance

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Predictive Performance

Forging simulation or deformation modeling is known to reduce cost, improve forging processes, decrease lead-times, and increase the quality of forgings. In previous DLA programs, SFTC demonstrated cost savings on the order of $1.9M. Simulation is an integral part of the forging process, in particular, closed-die forgings, and improvements in simulation and forging technologies result in cost, lead-time, surge capacity, and quality benefits to the DOD.

Project: Design Experiments (DOE) & Optimization

Objective:
Investigate, develop, test and implement a methodology for applying Design of Experiments (DOE) to forging design and manufacturing processes.

Solution:
By using Design of Experiment methods in a forging simulation environment allows a variety of process conditions can be explored rapidly. Process variations and design alternatives can be studied prior to production trials.

Project: Grain Size Modeling

Objective:
Investigate, develop, test and implement an empirical grain size model for IN-625. Reducing forging process design time by understanding the trade-offs between forging load, die fill and mechanical properties.

Solution:
Building a grain size model based on test data, with data conversion enhanced using DEFORM Material Suite. Then, testing the model on production processes (hammer and press).

Principal Investigator on Both Projects:

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