Product Engineering Optimizer By: Jared Garrison, Jason Brubaker, and Justin Magleby.

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Presentation transcript:

Product Engineering Optimizer By: Jared Garrison, Jason Brubaker, and Justin Magleby

Problem I-Beam Optimization –Fixed weight –Fixed length Parameters to optimize for minimizing deflection: –Height –Width –Web & Flange thickness

Optimizer Setup: Formulas can be entered to define aspects of a part CATIA will vary the free variables and select the best permutation Constraints help to set the ranges for the parameters to keep the design feasible

Optimizer Output: CATIA creates an excel document consisting of all of the iterations that it made during its analysis

Before Optimization: After Optimization: Inertia = 4.557e-005 m^4 Inertia = 6.45e-005 m^4

Possible Future Experiments Experimentation with the “only constraints” optimization. Cost analysis of optimizations, either in CATIA, or excel. Optimizing to minimize required welding or machining. Using the optimizer to improve the design of assemblies. Including constraints to allow for tool and fastener clearances.