2017
DOI: 10.1080/15397734.2017.1322976
|View full text |Cite
|
Sign up to set email alerts
|

Shaft design: A semi-analytical finite element approach

Abstract: This work deals with the practical use of semi-analytical finite elements in the machine design. The case of mechanical shafts is considered. The most usual loading condition characterized by the presence of axial, torsional, bending, and shear loads can be modeled by over imposing an axi-symmetric, an axi-antisymmetric and a harmonic load, corresponding to the first three terms of the Fourier series expansion, if semi-analytical plane finite element is used. A practical case is presented and the advantages, w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…The axial and bending loading conditions may be modelled exactly with the Fourier series, with a substantial reduction of the computing time with respect to a 3D model. 41,42 Symmetry conditions have been applied, where applicable. The SCF depends on r/d and D/d, and on Poisson’s ratio ν.…”
Section: Groove Geometry and Numerical Assessmentmentioning
confidence: 99%
“…The axial and bending loading conditions may be modelled exactly with the Fourier series, with a substantial reduction of the computing time with respect to a 3D model. 41,42 Symmetry conditions have been applied, where applicable. The SCF depends on r/d and D/d, and on Poisson’s ratio ν.…”
Section: Groove Geometry and Numerical Assessmentmentioning
confidence: 99%
“…Moreover, FEA consider geometric details and non-linear behaviour of PMs, requiring expensive software/hardware, large computational time, and large drive memory due to repeated iteration [22]. To decrease dependency on FEA, cope with computational complexity, computational time [23], computer memory and drive storage, alternate modelling approaches are developed for design of LFSM. Despite of reduction in computational time, analytical methods have high accuracy with discrepancy less than 5.0% [24].…”
Section: Introductionmentioning
confidence: 99%