Prediction of remaining useful life, Reliability and hazard rate of a tool

Abhishek Baghel
2019 Industrial Engineering Journal  
In general, leftover materials comes out from industries and are disposed-off in a landfill areas which causes environmental hazard. Outcome of the remaining useful life of tool is an example of reuse in green manufacturing. Tools are discarded much prior using its full potential. Such rejected tools have some remaining potential which can be used for further production. The basic principle of finding remaining useful life is to find out reuse potential of the tool. Prediction of tool life
more » ... is also known as predicted tool life (L P ) is determined by regression model developed in methodology by using experimental data. To determine experimental data Taguchi method is used as it reduces number of trial. Remaining useful life is determined by predicted life and consumed life (L C ). Reliability provides the potential of the tool to perform its function in given time for some set of condition. As tool is used its reliability goes on decreasing. Hazard rate is the depreciation of tool w.r.t. to time. Weibull model is developed to determine reliability and hazard rate. By using experimental data weibull constants are determined which gives an equation for calculating reliability and hazard rate. The basic purpose of the work is to determine RUL in line with reliability and hazard rate.
doi:10.26488/iej.12.3.1160 fatcat:hnunycggtrcldl67p3eggypg5i