Stability Prediction for Low Radial Immersion Milling

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2002/04/29
  • Indian UGC (Journal)
  • Refrences
    16
  • Citations
    135
  • M. A. Davies Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899
  • J. R. Pratt Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899
  • B. Dutterer Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899
  • T. J. Burns Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899
Abstract
Cite
Davies, M. A., et al. “Stability Prediction for Low Radial Immersion Milling”. Journal of Manufacturing Science and Engineering, vol. 124, no. 2, 2002, pp. 217-25, https://doi.org/10.1115/1.1455030.
Davies, M. A., Pratt, J. R., Dutterer, B., & Burns, T. J. (2002). Stability Prediction for Low Radial Immersion Milling. Journal of Manufacturing Science and Engineering, 124(2), 217-225. https://doi.org/10.1115/1.1455030
Davies MA, Pratt JR, Dutterer B, Burns TJ. Stability Prediction for Low Radial Immersion Milling. Journal of Manufacturing Science and Engineering. 2002;124(2):217-25.
Journal Categories
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Technology
Mechanical engineering and machinery
Description

Can we optimize machining parameters for interrupted milling? This paper presents a new stability theory for interrupted machining, focusing on scenarios where the ratio of time spent cutting to not cutting is small. It challenges traditional regenerative stability theory, predicting a doubling in the number of optimally stable spindle speeds as this ratio decreases. The assumptions underlying traditional regenerative stability theory become invalid for highly interrupted machining. Numerical simulations and experiments support the new theory. The authors anticipate that the theory will be relevant for selecting machining parameters in high-speed peripheral milling where the radial depth of cut is only a small fraction of the tool diameter. This research has implications for optimizing machining parameters in high-speed peripheral milling operations, leading to improved efficiency and reduced vibrations. The theory is particularly valuable for low radial immersion milling.

This paper, published in the Journal of Manufacturing Science and Engineering, contributes to the journal's focus on research that advances manufacturing processes. By developing a new stability theory for interrupted machining, the paper aligns with the journal's scope of improving the efficiency and precision of manufacturing operations. The work is particularly relevant to the journal's emphasis on optimizing machining parameters.

Refrences
Citations
Citations Analysis
The first research to cite this article was titled Semi‐discretization method for delayed systems and was published in 2002. The most recent citation comes from a 2024 study titled Semi‐discretization method for delayed systems . This article reached its peak citation in 2016 , with 11 citations.It has been cited in 45 different journals, 8% of which are open access. Among related journals, the The International Journal of Advanced Manufacturing Technology cited this research the most, with 23 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year