Gomez, M. and Schmitz, T., 2020, Low-cost, Constrained-motion Dynamometer for Milling Force Measurement, Manufacturing Letters, submitted.

Schmid, S., Wang, J., Saha, P., and Schmitz, T., 2020, Developments in Tribology of Manufacturing Processes, ASME Journal of Manufacturing Science and Engineering, submitted.

Bhattacharyya, A., Schueller, J.K, Mann, B., Schmitz, T., and Gomez, M., 2020, Uncertainty Propagation through an Empirical Model of Cutting Forces in End Milling, ASME Journal of Manufacturing Science and Engineering, submitted.

Altintas, Y., Stepan, G., Budak, E., Schmitz, T., Zekai, M.K., 2020, Chatter Stability of Machining Operations, ASME Journal of Manufacturing Science and Engineering, accepted.

Betters, E., West, J., Noakes, M., Nycz, A., Smith, S., and Schmitz, T., 2020, Dynamic Stiffness Modification by Internal Features in Additive Manufacturing, Precision Engineering, accepted.

Gomez, M., No, T., Smith, S., and Schmitz, T., 2020, Cutting Force and Stability Prediction for Inserted Cutters, Procedia Manufacturing, accepted.

Schmitz, T., 2020, Modal Interactions for Spindle, Holders, and Tools, Procedia Manufacturing, accepted.

Karandikar, J., Honeycutt, A., Schmitz, T., and Smith, S., 2020, Stability Boundary and Optimal Operating Parameter Identification in Milling using Bayesian Learning, Procedia Manufacturing, accepted.

Gomez, M., No, T., and Schmitz, T., 2020, Digital Force Prediction for Milling, Procedia Manufacturing, accepted.

Karandikar, J., Schmitz, T., and Smith, S., 2020, Machine Learning Classification for Tool Life Modeling in a Production Environment using Shop-floor Wear Data, Manufacturing Letters, accepted.

Cong, D.C., Hwang, J., Shim, J., Ro, S.-K., and Schmitz, T., 2020, Enhancement of Tool Point FRF Estimation on Multipurpose Aerostatic Spindle by Compensation of Contact Parameter, Procedia Manufacturing, accepted.

Karandikar, J., Honeycutt, A., Schmitz, T., and Smith, S., 2020, Stability Boundary and Optimal Operating Parameter Identification in Milling using Bayesian Learning, Journal of Manufacturing Processes, available online.

Schmitz, T., Betters, E., and West, J., 2020, Increased Damping through Captured Powder in Additive Manufacturing, Manufacturing Letters, 25: 1-5.

Copenhaver, R. and Schmitz, T., 2020, Modeling and Simulation of Modulated Tool Path (MTP) Turning Stability, Manufacturing Letters, 24: 67-71.