Failure Mode And Effect Analysis Improving Illustrated By Thin And Medium Straightener

The 3 in 1 machine tool which combine uncoiler,straightener and the feeder makes functions more complex.In general,many factors influence the machine reliability or performance much,such as width and thickness of plates,outlet side,feeding angle,roller abrasion and so on.In order to improve the total reliability of the machine tool,key factors which lead to failures should be found and solutions need be proposed.The conventional Failure Mode and Effects Analysis(FMEA)and its risk assessment have some shortcomings,thus many methods have been proposed to improve the robustness and applicability of FMEA.The improved failure mode and effects analysis(IFMEA)which combined entropy and expert evaluation is utilized to assess and improve the 3 in 1 machine.In this research,Fuzzy method is used to quantify the evaluation indexes and entropy is proposed to solve the weights among three evaluation indexes.Due to the research,human operation errors significantly have much more impact than the failures of hardware.It takes up over 55% risks.And improving the user experience of human machine interface is a pleasure cost producer nothing but can reduce the errors occurring finally improve the reliability of the 3 in 1 machine.After solving some failure modes which caused by mishandling the component or other hardware turn into bottlenecks of improving the reliability.In this research,IFMEA was built and the significance of human operation errors has been proven.