Title :
Cutting-tool reliability assessment in variable machining conditions
Author :
Liu, Huiamin ; Makis, Viliiam
Author_Institution :
Toronto Univ., Ont., Canada
fDate :
12/1/1996 12:00:00 AM
Abstract :
It is a common industrial practice to use the same cutting tool for different operations and on different part types to minimize cutting-tool change-overs and the number of cutting-tools required, and to increase part-routing flexibility. This paper derives a recursive formula to calculate the cutting-tool reliability in variable conditions if the failure-time distribution of the cutting-tool can be represented by the accelerated failure time model (AFTM). The formulae for the cutting-tool reliability when the processing time for each operation is random are also derived. The unknown parameters in the reliability function can be estimated from cutting-tool life-data obtained under either fixed conditions or variable conditions by using the method of maximum likelihood. Two examples based on real cutting-tool life-data demonstrate the computational results
Keywords :
cutting; failure analysis; machine tools; machining; maximum likelihood estimation; reliability theory; accelerated failure time model; cutting tool reliability assessment; failure time distribution; maximum likelihood method; part-routing flexibility; random processing time; recursive formula; reliability function; variable machining conditions; Acceleration; Cutting tools; Economic forecasting; Feeds; Flexible manufacturing systems; Hazards; Life estimation; Machining; Maximum likelihood estimation; Production;
Journal_Title :
Reliability, IEEE Transactions on