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The role of design of experiments in predictive design analysis

Eriksson, Martin LU and Burman, Åke LU (1999) INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, 1999
Abstract
During recent years the increasing power of computers has led to the use of more sophisticated analysis tools within the mechanical engineering design process, or design process for short. Projects whose objective has been to introduce the Finite Element (FE) analysis into the early phases of the design process have been carried out at the Department of Machine Design, see e.g. [1]. These works clearly highlight the usefulness of introducing design analysis early in the design process. It is argued that the full power of design analysis can be achieved when it is used not only to verify a design but also to predict the final performance of a product to be. Predictive Design Analysis (PDA) is one important approach in this research, where... (More)
During recent years the increasing power of computers has led to the use of more sophisticated analysis tools within the mechanical engineering design process, or design process for short. Projects whose objective has been to introduce the Finite Element (FE) analysis into the early phases of the design process have been carried out at the Department of Machine Design, see e.g. [1]. These works clearly highlight the usefulness of introducing design analysis early in the design process. It is argued that the full power of design analysis can be achieved when it is used not only to verify a design but also to predict the final performance of a product to be. Predictive Design Analysis (PDA) is one important approach in this research, where the objective is to predict the final behavior of a product by utilizing valuable information from different analysis techniques. Design Of Experiments (DOE) technique has successfully been used, in specific problems, to extract valuable results from design analyses, see e.g. [2], with fewer analyses performed.



The objective set out for the work presented in this paper has been to combine design analysis methods with statistical methods in order to give the designer an efficient tool to be used at all levels of abstraction in the design process. The applicability of DOE within PDA is discussed. Further, the use and implementation of DOE together with PDA in the design process is utilized. Throughout the work the DOE is based on a 2-level factorial approach, and FE analysis is used to exemplify design analysis. (Less)
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author
and
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Design Of Experiments, Mechanical engineering design process, Predictive Design Analysis, Predictive Engineering
pages
4 pages
conference name
INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, 1999
conference location
Munich, Germany
conference dates
1999-08-24 - 1999-08-26
language
English
LU publication?
yes
id
63247fa3-cd04-48ef-84ff-50c5d59ad9c7 (old id 1024338)
date added to LUP
2016-04-04 13:22:09
date last changed
2018-11-21 21:13:30
@misc{63247fa3-cd04-48ef-84ff-50c5d59ad9c7,
  abstract     = {{During recent years the increasing power of computers has led to the use of more sophisticated analysis tools within the mechanical engineering design process, or design process for short. Projects whose objective has been to introduce the Finite Element (FE) analysis into the early phases of the design process have been carried out at the Department of Machine Design, see e.g. [1]. These works clearly highlight the usefulness of introducing design analysis early in the design process. It is argued that the full power of design analysis can be achieved when it is used not only to verify a design but also to predict the final performance of a product to be. Predictive Design Analysis (PDA) is one important approach in this research, where the objective is to predict the final behavior of a product by utilizing valuable information from different analysis techniques. Design Of Experiments (DOE) technique has successfully been used, in specific problems, to extract valuable results from design analyses, see e.g. [2], with fewer analyses performed.<br/><br>
<br/><br>
The objective set out for the work presented in this paper has been to combine design analysis methods with statistical methods in order to give the designer an efficient tool to be used at all levels of abstraction in the design process. The applicability of DOE within PDA is discussed. Further, the use and implementation of DOE together with PDA in the design process is utilized. Throughout the work the DOE is based on a 2-level factorial approach, and FE analysis is used to exemplify design analysis.}},
  author       = {{Eriksson, Martin and Burman, Åke}},
  keywords     = {{Design Of Experiments; Mechanical engineering design process; Predictive Design Analysis; Predictive Engineering}},
  language     = {{eng}},
  title        = {{The role of design of experiments in predictive design analysis}},
  url          = {{https://lup.lub.lu.se/search/files/6102918/1024367.pdf}},
  year         = {{1999}},
}