It is known that estimating the wear level at a future time instant and obtaining an updated evaluation of the tool-life density is essential to keeping machined parts at the desired quality level, reducing material waste, increasing machine availability, and guaranteeing the safety requirements. In this regard, the present paper aims at showing that the tool-life model that Braglia and Castellano (Braglia and Castellano, 2014, “Diffusion Theory Applied to Tool-Life Stochastic Modeling Under a Progressive Wear Process,” ASME J. Manuf. Sci. Eng., 136(3), p. 031010) developed can be successfully adopted to probabilistically predict the future tool wear and to update the tool-life density. Thanks to the peculiarities of a stochastic diffusion process, the approach presented allows deriving the density of the wear level at a future time instant, considering the information on the present tool wear. This makes it therefore possible updating the tool-life density given the information on the current state. The method proposed is then experimentally validated, where its capability to achieve a better exploitation of the tool useful life is also shown. The approach presented is based on a direct wear measurement. However, final considerations give cues for its application under an indirect wear estimate.
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August 2015
Research-Article
Improving Tool-Life Stochastic Control Through a Tool-Life Model Based on Diffusion Theory
Marcello Braglia,
Marcello Braglia
Dipartimento di Ingegneria Civile e Industriale,
Università di Pisa
,Largo Lucio Lazzarino, Pisa 56122
, Italy
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Davide Castellano
Davide Castellano
1
Dipartimento di Ingegneria Civile e Industriale,
e-mail: davide.castellano@for.unipi.it
Università di Pisa
,Largo Lucio Lazzarino, Pisa 56122
, Italy
e-mail: davide.castellano@for.unipi.it
1Corresponding author.
Search for other works by this author on:
Marcello Braglia
Dipartimento di Ingegneria Civile e Industriale,
Università di Pisa
,Largo Lucio Lazzarino, Pisa 56122
, Italy
Davide Castellano
Dipartimento di Ingegneria Civile e Industriale,
e-mail: davide.castellano@for.unipi.it
Università di Pisa
,Largo Lucio Lazzarino, Pisa 56122
, Italy
e-mail: davide.castellano@for.unipi.it
1Corresponding author.
Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received May 14, 2014; final manuscript received March 9, 2015; published online July 8, 2015. Assoc. Editor: Robert Gao.
J. Manuf. Sci. Eng. Aug 2015, 137(4): 041005 (11 pages)
Published Online: August 1, 2015
Article history
Received:
May 14, 2014
Revision Received:
March 9, 2015
Online:
July 8, 2015
Citation
Braglia, M., and Castellano, D. (August 1, 2015). "Improving Tool-Life Stochastic Control Through a Tool-Life Model Based on Diffusion Theory." ASME. J. Manuf. Sci. Eng. August 2015; 137(4): 041005. https://doi.org/10.1115/1.4030078
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