Predicting Design Solutions with Scenarios Considering the Quality of Materials and Products Based on a Life Cycle Assessment (LCA)

• Published in: Materials Vol. 17; no. 4; p. 951
• Main Authors: Siwiec, Dominika, Pacana, Andrzej
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.02.2024
• Subjects: Air pollution; BEV; Emissions; Energy minerals; Environmental impact; Environmental impact assessment; Fossil fuels; Global temperature changes; GRA; Greenhouse gases; ICEV; Impact analysis; Innovations; Insurance industry; LCA; Life cycle assessment; Lithium-ion batteries; Product development; Production processes; quality; Quality management; Rechargeable batteries; vehicle; BEV; mechanical engineering; GRA; ICEV; LCA; production engineering; quality; vehicle
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma17040951

The advancement of quality and environmentally sustainable materials and products made from them has improved significantly over the last few years. However, a research gap is the lack of a developed model that allows for the simultaneous analysis of quality and environmental criteria in the life-cycle assessment (LCA) for the selection of materials in newly designed products. Therefore, the objective of the research was to develop a model that supports the prediction of the environmental impact and expected quality of materials and products made from them according to the design solution scenarios considering their LCA. The model implements the GRA method and environmental impact analysis according to the LCA based on ISO 14040. The model test was carried out for light passenger vehicles of BEV with a lithium-ion battery (LiFePO ) and for ICEV. The results indicated a relatively comparable level of quality, but in the case of the environmental impact throughout the life-cycle, the predominant amount of CO emissions in the use phase for combustion vehicles. The originality of the developed model to create scenarios of design solutions is created according to which the optimal direction of their development in terms of quality and environment throughout LCA can be predicted.