NDLI: A fuzzy evaluating approach for load sharing characteristics of EGT based on manufacturing and assembly error characteristics

Content Provider	Springer Nature Link
Author	Ping, Yang JianNin, Din JiChang, Yang
Copyright Year	2005
Abstract	This paper presents a new method for calculation and quality evaluation of load sharing characteristics of epicyclic gear trains (EGT) on the basis of the systematic design and evaluation method. Based on the statistical properties of the errors that originated by manufacturing errors and assembly variations of EGT, the load sharing characteristics of an EGT system can be represented by some random-fuzzy vector chains. By applying the probabilistic-fuzzy theory to the analysis of the equivalent error of the equal-load link, the load sharing failure event of an EGT is induced as a bilateral fuzzy event. The new design criterion is presented for this key performance. It is described as “design variable must be equal in fuzzy to the corresponding allowable value of itself”. Three combinational associative functions for a bilateral fuzzy event are presented and discussed in detail. So the fuzzy-reliability design&quality evaluation model is established for load sharing of the EGT. Finally, a simple example is discussed to apply the method. The result shows the method is valid for design and evaluation of load sharing characteristics of EGT.
Starting Page	1115
Ending Page	1120
Page Count	6
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	26
Issue Number	9-10
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-07-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Epicyclic gear trains Equivalent error Fuzzy reliability Manufacturing and assembly error Random vector Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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