Digital Twin-Driven Analysis of Design Constraints

Yuchen Wang; Xingzhi Wang; Ang Liu

doi:10.1016/j.procir.2020.02.229

Digital Twin-Driven Analysis of Design Constraints

Yuchen Wang^*, Xingzhi Wang, Ang Liu

^*Corresponding author for this work

University of New South Wales

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

3 Citations (Scopus)

Abstract

Design constraints play a critical role in product development. Management of constraints significantly affect achievements of functions. Conventionally, constraints analysis is driven by designers' knowledge, cognition and experience. Besides, constraints analysis is an iterative work with high cost, time and efforts. As an emerging technology, digital twin enhances the information processing with its synchronization, high-quality model and real-time data exchange. Therefore, digital twin is expected to enhance the conventional constraints analysis. This report is written to envision the digital-twin driven analysis of design constraints. The envision will focus on constraints identification, boundaries detection and importance analytics. A case study of robot vacuum cleaner is used as an illustrative example. It is concluded that DT improves the overall reliability of constraints analysis while reducing human efforts into iterative work.

Original language	English
Pages (from-to)	716-721
Number of pages	6
Journal	Procedia CIRP
Volume	91
DOIs	https://doi.org/10.1016/j.procir.2020.02.229
Publication status	Published - 2020
Externally published	Yes
Event	30th CIRP Design on Design, CIRP Design 2020 - Pretoria, South Africa Duration: 5 May 2020 → 8 May 2020

Keywords

Conceptual Design
Design Constraints
Digital Twin
Virtual Simulation

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10.1016/j.procir.2020.02.229

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@article{e462659c4a494363934750bba8ce051a,

title = "Digital Twin-Driven Analysis of Design Constraints",

abstract = "Design constraints play a critical role in product development. Management of constraints significantly affect achievements of functions. Conventionally, constraints analysis is driven by designers' knowledge, cognition and experience. Besides, constraints analysis is an iterative work with high cost, time and efforts. As an emerging technology, digital twin enhances the information processing with its synchronization, high-quality model and real-time data exchange. Therefore, digital twin is expected to enhance the conventional constraints analysis. This report is written to envision the digital-twin driven analysis of design constraints. The envision will focus on constraints identification, boundaries detection and importance analytics. A case study of robot vacuum cleaner is used as an illustrative example. It is concluded that DT improves the overall reliability of constraints analysis while reducing human efforts into iterative work.",

keywords = "Conceptual Design, Design Constraints, Digital Twin, Virtual Simulation",

author = "Yuchen Wang and Xingzhi Wang and Ang Liu",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier B.V.; 30th CIRP Design on Design, CIRP Design 2020 ; Conference date: 05-05-2020 Through 08-05-2020",

year = "2020",

doi = "10.1016/j.procir.2020.02.229",

language = "English",

volume = "91",

pages = "716--721",

journal = "Procedia CIRP",

issn = "2212-8271",

}

TY - JOUR

T1 - Digital Twin-Driven Analysis of Design Constraints

AU - Wang, Yuchen

AU - Wang, Xingzhi

AU - Liu, Ang

PY - 2020

Y1 - 2020

N2 - Design constraints play a critical role in product development. Management of constraints significantly affect achievements of functions. Conventionally, constraints analysis is driven by designers' knowledge, cognition and experience. Besides, constraints analysis is an iterative work with high cost, time and efforts. As an emerging technology, digital twin enhances the information processing with its synchronization, high-quality model and real-time data exchange. Therefore, digital twin is expected to enhance the conventional constraints analysis. This report is written to envision the digital-twin driven analysis of design constraints. The envision will focus on constraints identification, boundaries detection and importance analytics. A case study of robot vacuum cleaner is used as an illustrative example. It is concluded that DT improves the overall reliability of constraints analysis while reducing human efforts into iterative work.

AB - Design constraints play a critical role in product development. Management of constraints significantly affect achievements of functions. Conventionally, constraints analysis is driven by designers' knowledge, cognition and experience. Besides, constraints analysis is an iterative work with high cost, time and efforts. As an emerging technology, digital twin enhances the information processing with its synchronization, high-quality model and real-time data exchange. Therefore, digital twin is expected to enhance the conventional constraints analysis. This report is written to envision the digital-twin driven analysis of design constraints. The envision will focus on constraints identification, boundaries detection and importance analytics. A case study of robot vacuum cleaner is used as an illustrative example. It is concluded that DT improves the overall reliability of constraints analysis while reducing human efforts into iterative work.

KW - Conceptual Design

KW - Design Constraints

KW - Digital Twin

KW - Virtual Simulation

UR - http://www.scopus.com/inward/record.url?scp=85091705377&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2020.02.229

DO - 10.1016/j.procir.2020.02.229

M3 - Conference article

AN - SCOPUS:85091705377

SN - 2212-8271

VL - 91

SP - 716

EP - 721

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 30th CIRP Design on Design, CIRP Design 2020

Y2 - 5 May 2020 through 8 May 2020

ER -

Digital Twin-Driven Analysis of Design Constraints

Abstract

Keywords

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