2015
DOI: 10.1007/s00158-015-1280-6
|View full text |Cite
|
Sign up to set email alerts
|

Structural optimization of multibody system components described using level set techniques

Abstract: The structural optimization of the components in multibody systems is performed using a fully coupled optimization method. The design's predicted response is obtained from a flexible multibody system simulation under various service conditions. In this way, the resulting optimization process enhances most existing studies which are limited to weakly coupled (quasi-) static or frequency domain loading conditions. A level set description of the component geometry is used to formulate a generalized shape optimiza… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
16
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 22 publications
(16 citation statements)
references
References 25 publications
0
16
0
Order By: Relevance
“…A graph theory-based approach has been used [4] to estimate the type synthesis while the best dimension parameters are calculated by the precision position method. On the dimensional level, shape optimization of the link of the robot using level set techniques have been dealt with in [5]. On the type level, the critical point in most works is the graph theory [6], where possible topologies are enumerated to get the best type.…”
Section: Introductionmentioning
confidence: 99%
“…A graph theory-based approach has been used [4] to estimate the type synthesis while the best dimension parameters are calculated by the precision position method. On the dimensional level, shape optimization of the link of the robot using level set techniques have been dealt with in [5]. On the type level, the critical point in most works is the graph theory [6], where possible topologies are enumerated to get the best type.…”
Section: Introductionmentioning
confidence: 99%
“…1 The first stage deployment of a spinning solar sail [6] Topology optimization of an FMBS has called considerable attention in recent years to reduce the moving weight, improve the energy efficiency and enhance the dynamic performance. Since the pioneering work by Bendsøe and Kikuchi [13], several approaches [14] have been studied for the topology optimization of fluids, acoustics, electromagnetics and optics, as well as FMBS [15][16][17][18][19], but not yet for any FMBS with variable-length subject to both large overall motion and large deformation. This is probably due to the fact that the variable-length gives rise to three challenges for the topology optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, the topology optimization can be performed using the method of the equivalent static loads (ESL) or directly from the dynamic simulation of an FMBS. The former is named the ESL method [15,18,[27][28][29][30][31], while the latter is called the integrated optimization method [16,32]. For an FMBS with variable-length bodies, the design domain varies over time.…”
Section: Introductionmentioning
confidence: 99%
“…Several works were realized using this weakly coupled method, for example [7][8][9]. The weakly coupled method contrasts with the fully coupled method [10][11][12][13] wherein the optimization process considers the time response coming directly from the MBS simulation.In [6], the ESL derivation is carried out for MBS described with a floating frame of reference formulation. This formalism is suitable to define ESL because the flexibility of the components is introduced within a body-attached frame and that the component responses are described with respect to this frame.…”
mentioning
confidence: 99%
“…Several works were realized using this weakly coupled method, for example [7][8][9]. The weakly coupled method contrasts with the fully coupled method [10][11][12][13] wherein the optimization process considers the time response coming directly from the MBS simulation.…”
mentioning
confidence: 99%