Improving machine tool performance through structural and process dynamics modeling

Tony L. Schmitz, Jaydeep Karandikar, Raul Zapata, Uttara Kumar, Mathew Johnson

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

There are many factors that influence the performance of computer-numericallycontrolled machining centers. These include tool wear, positioning errors of the toolrelative to the part, spindle error motions, fixturing concerns, programming challenges,and the machining process dynamics. In this study, the limitations imposed by theprocess dynamics are considered. Algorithms used to predict the tool point frequencyresponse function and, subsequently, the stability and surface location error (due toforced vibrations) are described. This information is presented graphically in the form ofthe milling "super diagram", which also includes the effect of tool wear and incorporatesuncertainty in the form of user-defined safety margins. Given this information at theprocess planning stage, the programmer can select optimized operating parameters thatincrease the likelihood of first part correct production and reduce the probability ofdamage to the tool, spindle, and/or part due to excessive forces and deflections.

Original languageEnglish
Title of host publicationMachine Tools
Subtitle of host publicationDesign, Reliability and Safety
PublisherNova Science Publishers, Inc.
Pages117-151
Number of pages35
ISBN (Print)9781612091440
StatePublished - 2011
Externally publishedYes

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