TY - JOUR
T1 - Life cycle assessment of self-healing products
AU - Cseke, Akos
AU - Haines-Gadd, Merryn
AU - Mativenga, Paul
AU - Charnley, Fiona
AU - Thomas, Bradley
AU - Downs, Robert
AU - Perry, Justin
N1 - Funding information: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) funded project on New Industrial Systems: Manufacturing Immortality (EP/R020957/1). The authors are also grateful to the Manufacturing Immortality consortium.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Self-healing products sense and repair damage and should help to improve product circularity and safety. Such products are at an early stage in research and development. Existing models for product life extension in life cycle assessment (LCA) were not developed for self-healing products. It is timely and urgent therefore to develop a framework for life cycle assessment for self-healing products so that their environmental impact can be optimised early at the design stage. This paper presents a new framework for LCA, based on a restoration of a product’s function, and thus linking self-healing to product life extension and user acceptance. The model used within this framework uses the probabilities of self-healing, failure and user acceptance at the end of each life to quantify a product’s service life extension and consequential avoided or delayed new production. The model takes into consideration multiple healing cycles with varying healing efficiencies. A case study scenario of self-healing propeller blades of an unmanned air vehicle employed for site inspection was used to test the application of the framework. The paper shows the positive contribution of self-healing in reducing life cycle impact. Sensitivity analysis revealed a tipping point where the benefits of avoided emissions outweigh the embedded impacts of self-healing technology. This clearly shows the importance of the life cycle assessment framework to understand under which conditions the environmental gains of using self-healing products are maximised.
AB - Self-healing products sense and repair damage and should help to improve product circularity and safety. Such products are at an early stage in research and development. Existing models for product life extension in life cycle assessment (LCA) were not developed for self-healing products. It is timely and urgent therefore to develop a framework for life cycle assessment for self-healing products so that their environmental impact can be optimised early at the design stage. This paper presents a new framework for LCA, based on a restoration of a product’s function, and thus linking self-healing to product life extension and user acceptance. The model used within this framework uses the probabilities of self-healing, failure and user acceptance at the end of each life to quantify a product’s service life extension and consequential avoided or delayed new production. The model takes into consideration multiple healing cycles with varying healing efficiencies. A case study scenario of self-healing propeller blades of an unmanned air vehicle employed for site inspection was used to test the application of the framework. The paper shows the positive contribution of self-healing in reducing life cycle impact. Sensitivity analysis revealed a tipping point where the benefits of avoided emissions outweigh the embedded impacts of self-healing technology. This clearly shows the importance of the life cycle assessment framework to understand under which conditions the environmental gains of using self-healing products are maximised.
UR - http://www.scopus.com/inward/record.url?scp=85126149155&partnerID=8YFLogxK
U2 - 10.1016/j.cirpj.2022.02.013
DO - 10.1016/j.cirpj.2022.02.013
M3 - Article
SN - 1755-5817
VL - 37
SP - 489
EP - 498
JO - CIRP Journal of Manufacturing Science and Technology
JF - CIRP Journal of Manufacturing Science and Technology
ER -