@inproceedings{09e5fe0739dc4454882e7717cac6d762,
title = "A fuzzy approach for fatigue and creep analysis in a fire and tube boiler",
abstract = "A fuzzy approach for fatigue and creep analysis is proposed for a fire and tube boiler. Pressure and temperature induce cyclic stresses in boiler components, thus rendering them very susceptible to fatigue failure. Elevated temperatures in the creep regime in boiler tubes increase the probability of failure. Thus, the need has risen for an integrated Programmable Logic Controllers and fuzzy approach to come up with an adaptive controller capable of monitoring fatigue and creep. Finite Element Analysis (FEA) is performed on the boiler model using SolidWorks and the results obtained help to determine the overall integrity of the boiler. Temperature, pressure and the boiler materials are then taken as inputs to the Fuzzy Inference System (FIS) which then determines the extent of fatigue and creep damage aggregation through the rules generated in the fuzzy logic toolbox simulations in Matlab.",
keywords = "Fuzzy logic, boiler, creep, fatigue, fire and tube",
author = "T. Mushiri and Shoko, {A. Z.} and C. Mbohwa",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/IEEM.2017.8289941",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "499--503",
booktitle = "2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017",
address = "United States",
}