Prediction of tool wear using regression and ANN models in end-milling operation

International Journal of Advanced Manufacturing Technology

Volumn 37, Issue 1-2, 2008, Pages 29-41

  Palanisamy, P ^a   Rajendran, I ^b   Shanmugasundaram, S ^c  

^a KUMARAGURU COLLEGE OF TECHNOLOGY   (India)

^b BANNARI AMMAN INSTITUTE OF TECHNOLOGY   (India)

^c GOVERNMENT COLLEGE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network (ANN); Design of Experiments (DOE); Regression model; Tool wear

Indexed keywords

CUTTING TOOLS; DESIGN OF EXPERIMENTS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; RELIABILITY ANALYSIS;

END-MILLING OPERATIONS; PRODUCT QUALITY; REGRESSION MODELS; TOOL WEAR;

WEAR OF MATERIALS;

EID: 43249130728     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-0948-5     Document Type: Article

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