Tool life prediction using Bayesian updating

Transactions of the North American Manufacturing Research Institution of SME

Volumn 39, Issue , 2011, Pages 466-475

  Karandikar, Jaydeep M ^a   Schmitz, Tony L ^a   Abbas, Ali E ^b  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Bayesian updating; Discrete grid method; Taylor tool life; Tool wear

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN UPDATING; CUTTING SPEED; EMPIRICAL CONSTANTS; GRID METHODS; POWER LAW; STOCHASTIC PROCESS; TAYLOR TOOL LIFE; TEST RESULTS; TOOL LIFE; TOOL WEAR; TOOL-LIFE EQUATIONS; TOOL-WORKPIECE; WORK PIECES;

BAYESIAN NETWORKS; CARBIDES; DISTRIBUTION FUNCTIONS; FORECASTING; INDUSTRIAL RESEARCH; INFERENCE ENGINES; MANUFACTURE; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; UNCERTAINTY ANALYSIS; WEAR OF MATERIALS;

EQUIPMENT;

EID: 80455163264     PISSN: 10473025     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Creese R (1999) Introduction to Manufacturing Processes and Equipment. Marcel Dekker, Inc., New York, NY, p. 289.
2. Cui Y, Fussell B, Jerard R, Esterling D (2009) Tool wear monitoring for milling by tracking cutting force model coefficients. Transactions of the North American Manufacturing Research Institution of SME 37, 613-620.
3. Kronenberg M (1966) Machining Science and Application. Pergamon Press, Oxford, pp. 170-204.
4. Stephenson DA, Agapiou JS (2006) Metal Cutting Theory and Practice. CRC Press, Boca Raton, FL, p. 523.
5. Taylor FW (1906) On the art of cutting metals. Transactions of the ASME, 28, 31-248.