Raul E. Zapata Ramos

Advisor

Dr. Tony Schmitz

Project Description

Raul Zapata is working with Dr. Tony L. Schmitz to develop a framework for incorporating multiple process limitations into a milling optimization scheme. Process limitations in milling come from system dynamics (stability), restrictions set by the user (e.g., surface roughness), or both (allowable surface location error). This framework uses decision analysis to relate the constraints to the profit obtained from the production and sale of the part and incorporate the inherent uncertainties; the end goal is optimized milling parameter selection. This approach has other added benefits, such as the ability to update the available information and the conclusions obtained from it given new information about the system from experiments and other sources. Raul is also working on the implementation of the "super-diagram", a summary diagram that combines the information from various process limiters into a relevant format specific to the individual user's requirements.

Education

  • B.S., University of Puerto Rico, Mayaguez Campus, Mechanical Engineering, 2004
  • M.S., University of Florida, Mechanical Engineering, 2006

Awards

  • 2006 Finalist, Manufacturing Engineering Student Design Competition, 2006 International Conference on Manufacturing Science and Engineering sponsored by the American Society of Mechanical Engineering

Publications

  1. Zapata, R. and Schmitz, T., 2009, A New “Super Diagram” for Describing Milling Dynamics, Transactions of NAMRI/SME, 36 (accepted).
  2. Zapata, R., Schmitz, T., Traverso, M., and Abbas, A., 2008, Value of Information and Experimentation in Milling Profit Optimization, International Journal of Mechatronics and Manufacturing Systems (accepted).
  3. Abbas, A., Yang, L., Zapata, R., and Schmitz, T., 2009, Application of Decision Analysis to Milling Profit Maximisation: An Introduction, International Journal of Materials and Product Technology, 35(1-2): 64-88.
  4. Abbas, A., Schmitz, T., Traverso, M., and Zapata, R., 2009, Bayesian Methods for Milling Stability Prediction, Proceedings of 2009 NSF Engineering Research and Innovation Conference, June 22-25, Honolulu, HI (on CD, 7 pages).
  5. Schmitz, T., Ziegert, J., Canning, J.S., and Zapata, R., 2008, Case Study: A Comparison of Error Sources in Milling, Precision Engineering, 32(2): 126–133.
  6. Zapata, R., Traverso, M., Abbas, A., and Schmitz, T., 2008, Bayesian Updating of Stability Beliefs, Proceedings of American Society for Precision Engineering Annual Meeting, October 19-24, Portland, OR (on CD, 4 pages).
  7. Schmitz, T., Zapata, R., and DeMarco, C., 2008, The Milling Dynamics “Super Diagram”: Combining Stability and Surface Location Error, Proceedings of American Society for Precision Engineering Annual Meeting, October 19-24, Portland, OR (on CD, 4 pages).
  8. Abbas, A., Schmitz, T., Zapata, R., Hafiz, R., and Yang, L., 2008, Application of Decision Analysis to Milling Profit Maximization, NSF CMMI Engineering Research and Innovation Conference 2008, January 7-10, Knoxville, TN (on CD, 17 pages).
  9. Zapata, R., Schmitz, T., Abbas, A., and Liu, Y., 2007, Quantifying the Stability Uncertainty in a Milling Model, Proceedings of American Society for Precision Engineering Annual Meeting, October 14-19, Dallas, TX (on CD, 4 pages).
  10. Schmitz, T., Ziegert, J., Zapata, R., and 1Canning, J.S., 2006, Part Accuracy in High-Speed Machining: Preliminary Results, ASME International Manufacturing Science and Engineering Conference (MSEC), Ypsilanti, MI, October 8-11 (on CD, 8 pages).
  11. Canning, J.S., Zapata, R., Ziegert, J., and Schmitz, T., 2006, A Comparative Study of Part Error Contributors in High-Speed Machining, Proceedings of American Society for Precision Engineering Annual Meeting, October 15-20, Monterey, CA (on CD, 4 pages).