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Optimizing the Geometry of Flexure System Topologies Using the Boundary Learning Optimization Tool
Joint Authors
Hatamizadeh, Ali
Song, Yuanping
Hopkins, Jonathan B.
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We introduce a new computational tool called the Boundary Learning Optimization Tool (BLOT) that identifies the boundaries of the performance capabilities achieved by general flexure system topologies if their geometric parameters are allowed to vary from their smallest allowable feature sizes to their largest geometrically compatible feature sizes for given constituent materials.
The boundaries generated by the BLOT fully define the design spaces of flexure systems and allow designers to visually identify which geometric versions of their synthesized topologies best achieve desired combinations of performance capabilities.
The BLOT was created as a complementary tool to the freedom and constraint topologies (FACT) synthesis approach in that the BLOT is intended to optimize the geometry of the flexure topologies synthesized using the FACT approach.
The BLOT trains artificial neural networks to create models of parameterized flexure topologies using numerically generated performance solutions from different design instantiations of those topologies.
These models are then used by an optimization algorithm to plot the desired topology’s performance boundary.
The model-training and boundary-plotting processes iterate using additional numerically generated solutions from each updated boundary generated until the final boundary is guaranteed to be accurate within any average error set by the user.
A FACT-synthesized flexure topology is optimized using the BLOT as a simple case study.
American Psychological Association (APA)
Hatamizadeh, Ali& Song, Yuanping& Hopkins, Jonathan B.. 2018. Optimizing the Geometry of Flexure System Topologies Using the Boundary Learning Optimization Tool. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1205482
Modern Language Association (MLA)
Hatamizadeh, Ali…[et al.]. Optimizing the Geometry of Flexure System Topologies Using the Boundary Learning Optimization Tool. Mathematical Problems in Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1205482
American Medical Association (AMA)
Hatamizadeh, Ali& Song, Yuanping& Hopkins, Jonathan B.. Optimizing the Geometry of Flexure System Topologies Using the Boundary Learning Optimization Tool. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1205482
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205482