City Research Online

A complexity framework for self-engineering systems

Brooks, S. J. ORCID: 0000-0002-5712-7358 & Roy, R. ORCID: 0000-0001-5491-7437 (2020). A complexity framework for self-engineering systems. Smart and Sustainable Manufacturing Systems, 4(3), doi: 10.1520/ssms20200059

Abstract

To ensure extended useful life of systems during pandemics such as coronavirus disease (COVID-19), systems independent of traditional maintenance, repair, and servicing will be required. Ambitious new designs are needed, such as self-engineering (SE) systems to automatically respond to return lost functionality and improve product resilience without human intervention. Development in SE has focused on self-healing materials, self-reconfiguring electronics, and self-adapting robotics. There has been little work to evaluate SE systems holistically and develop new design tools for creating new SE systems. This paper presents a framework for evaluating the complexity of SE systems and the validation of the framework with expert interviews. There was agreement between experts and the authors for 21/24 of factors for the 8 SE examples (4 biological and 4 engineering) evaluated using the framework. Disagreements in results were caused by a lack of knowledge on the system being evaluated or misunderstanding about the system operation.

Publication Type: Article
Publisher Keywords: Self-engineering; manufacturing; repair; complexity; bioinspired; design
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Science & Technology > Engineering
SWORD Depositor:
[thumbnail of Roy+Brooks_SSMS_Technical_Note.pdf]
Preview
Text - Accepted Version
Download (544kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login