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University of Illinois at Urbana-Champaign

Search-based real-time prediction of CAE solutions

Abstract

dc:description

Flexible hoses and cables are important components in the construction of an automobile. When designing a vehicle, it is vital to know the shape that a flexible component will take between its two endpoints. Incorrect information regarding hose routings can lead to shortened component lifespans and even costly recalls. Because of this, great lengths have been taken to predict the shape of flexible components. In the past computer simulations using mathematical models have been used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of predicting hose shapes is needed to dramatically reduce this time burden. This thesis paper proposes the idea of “looking up” a solution. Rather than calculating a hose shape, a search-based approach would be used that relies on a large database of intelligently represented solutions. A large amount of processing, indexing, and optimizing would be done offline on a backend database so a solution can be quickly generated. This method is known as the Search-based Real-time Prediction of CAE solutions (SRPCS). In this research real hose shapes were generated in a test rig and stored in a database. This database was then used to search for other flexible component shape solutions in a feasibility study. The authors of this paper found that the SRPCS method provided an accurate and very rapid solution of flexible components. We believe that the concept of search-based solutions has been proven out in this research. The potential of this method needs to be further explored, including areas outside of flexible components.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Herrmann, Tristan
Contributors dc:contributor
  • Dutta, Debasish
  • Patil, Lalit

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright 2012 Tristan Herrmann
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/30918
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/30918

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Herrmann, Tristan. Search-based real-time prediction of CAE solutions. Thesis thesis, University of Illinois at Urbana-Champaign, 2012. http://hdl.handle.net/2142/30918