Product behavior complexity metric for early prioritization of tolerance analysis tasks

Kristian Bjarklev; Tobias Eifler; Niels Henrik Mortensen; Steven Linnebjerg; Martin Ebro

doi:10.1017/dsj.2019.28

Product behavior complexity metric for early prioritization of tolerance analysis tasks

Kristian Bjarklev^*, Tobias Eifler, Niels Henrik Mortensen, Steven Linnebjerg, Martin Ebro

^*Corresponding author for this work

Novo Nordisk Foundation

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

In order to reduce the time spent on tolerance analysis, it is necessary to correctly identify and prioritize the key characteristics of the product. For multiple-state mechanisms, a systematic procedure for doing this is lacking. We present a new complexity metric for multiple-state mechanisms based on the product behavior, describing the impact of geometrical variation. The sequence of the structural state transitions is linked to the product composition, enabling a clear prioritization of variation-critical states and interfaces. The approach is applied on an industrial case and verified based on a comparison with the company-specified priority tolerance calculations.

Original language	English
Article number	e1
Journal	Design Science
Volume	6
Number of pages	25
DOIs	https://doi.org/10.1017/dsj.2019.28
Publication status	Published - 2020

Bibliographical note

Copyright: The Author(s) 2020. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.
org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

Tolerance analysis management
Robust design
Product behavior complexity
Key characteristics identification

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title = "Product behavior complexity metric for early prioritization of tolerance analysis tasks",

abstract = "In order to reduce the time spent on tolerance analysis, it is necessary to correctly identify and prioritize the key characteristics of the product. For multiple-state mechanisms, a systematic procedure for doing this is lacking. We present a new complexity metric for multiple-state mechanisms based on the product behavior, describing the impact of geometrical variation. The sequence of the structural state transitions is linked to the product composition, enabling a clear prioritization of variation-critical states and interfaces. The approach is applied on an industrial case and verified based on a comparison with the company-specified priority tolerance calculations.",

keywords = "Tolerance analysis management, Robust design, Product behavior complexity, Key characteristics identification",

author = "Kristian Bjarklev and Tobias Eifler and Mortensen, {Niels Henrik} and Steven Linnebjerg and Martin Ebro",

note = "Copyright: The Author(s) 2020. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.",

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doi = "10.1017/dsj.2019.28",

language = "English",

volume = "6",

journal = "Design Science",

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T1 - Product behavior complexity metric for early prioritization of tolerance analysis tasks

AU - Bjarklev, Kristian

AU - Eifler, Tobias

AU - Mortensen, Niels Henrik

AU - Linnebjerg, Steven

AU - Ebro, Martin

N1 - Copyright: The Author(s) 2020. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2020

Y1 - 2020

N2 - In order to reduce the time spent on tolerance analysis, it is necessary to correctly identify and prioritize the key characteristics of the product. For multiple-state mechanisms, a systematic procedure for doing this is lacking. We present a new complexity metric for multiple-state mechanisms based on the product behavior, describing the impact of geometrical variation. The sequence of the structural state transitions is linked to the product composition, enabling a clear prioritization of variation-critical states and interfaces. The approach is applied on an industrial case and verified based on a comparison with the company-specified priority tolerance calculations.

AB - In order to reduce the time spent on tolerance analysis, it is necessary to correctly identify and prioritize the key characteristics of the product. For multiple-state mechanisms, a systematic procedure for doing this is lacking. We present a new complexity metric for multiple-state mechanisms based on the product behavior, describing the impact of geometrical variation. The sequence of the structural state transitions is linked to the product composition, enabling a clear prioritization of variation-critical states and interfaces. The approach is applied on an industrial case and verified based on a comparison with the company-specified priority tolerance calculations.

KW - Tolerance analysis management

KW - Robust design

KW - Product behavior complexity

KW - Key characteristics identification

U2 - 10.1017/dsj.2019.28

DO - 10.1017/dsj.2019.28

M3 - Journal article

SN - 2053-4701

VL - 6

JO - Design Science

JF - Design Science

M1 - e1

ER -

Product behavior complexity metric for early prioritization of tolerance analysis tasks

Abstract

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Keywords

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