Characterization of Waterjet Cutting Process on Different Machines on MIT Campus

Authors: Keval Babu, Rachel Deghuee, Rushil Batra, Tiankai Chen

DOI: https://doi.org/10.5281/zenodo.15086746

Short DOI: https://doi.org/g89tkx

Country: United States

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Abstract: Three waterjet machines on MIT’s campus were evaluated for dimensional accuracy through a range of cutting parameters. The quality parameter (set by the machine software) which dictates the traverse speed and the z-offset which affects kerf width were used in 22 full factorial experiments with center-points. Linear models were fit to the data and two out of the three regression models were found to have significant curvature. To a 95% confidence level, the statistically significant factors affecting cut dimension are quality and machine selection. Expected Quality Loss (EQL) and Grey Relational Analysis (GRA) were used to find the optimal machine and cutting parameter combination for maximizing the dimensional accuracy and minimizing the cutting time. The machine located in the MakerWorks provides the best dimensional accuracy at fastest cutting time. The optimal cutting settings are 0.060-inch z-offset and quality 5.

Keywords: abrasive, aluminum, ANOVA, DOE, EQL, factorial design, GRA, regression, stand-off distance, waterjet.

Paper Id: 232284

Published On: 2018-04-18

Published In: Volume 6, Issue 2, March-April 2018

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