Inventory and life cycle assessment of an Italian automotive painting process

Bianco, Isabella; Panepinto, Deborah; Blengini, Gian Andrea; Onofrio, Maurizio Francesco Eugenio; Zanetti, Mariachiara

doi:10.1007/s10098-019-01780-3

Cited by 11 publications

(3 citation statements)

References 30 publications

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“…According to the ISO 14,044 standard, the Life Cycle Assessment (LCA) framework consists of four main parts: goal and scope definition, life cycle inventory, impact assessment, and result interpretation 17 .…”

Section: Methodsmentioning

confidence: 99%

Environmental impact assessment of battery boxes based on lightweight material substitution

Li,

Zhang,

Liao

et al. 2024

Sci Rep

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Power battery is one of the core components of electric vehicles (EVs) and a major contributor to the environmental impact of EVs, and reducing their environmental emissions can help enhance the sustainability of electric vehicles. Based on the principle of stiffness equivalence, the steel case of the power cell is replaced with lightweight materials, a life cycle model is established with the help of GaBi software, and its environmental impact is evaluated using the CML2001 method. The results can be summarized as follows: (1) Based on the four environmental impact categories of GWP, AP, ADP (f), and HTP, which are the global warming potential (GWP), acidification potential (AP), abiotic depletion potential (ADP (f)) and human toxicity potential (HTP), the environmental impact of lightweight materials is lower than that of the steel box. Among them, the aluminum alloy box has the largest reduction, and the Carbon Fiber Sheet Molding Compound (CF-SMC) box is the second. (2) In the sensitivity analysis of electric structure, an aluminum alloy box is still the most preferable choice for environmental impact. (3) In the sensitivity analysis of driving mileage, the aluminum alloy box body is also the best choice for vehicle life. (4) Quantitative assessment using substitution factors measures the decrease in greenhouse gas emissions following the substitution of steel battery box with lightweight materials. The adoption of aluminum alloy battery box can lead to a reduction of 1.55 tons of greenhouse gas emissions, with a substitution factor of 1.55 tC sb−1. In the case that composite materials have not been recycled commercially on a large scale, aluminum alloy is still one of the best materials for the integrated environmental impact of the whole life cycle of the battery boxes.

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Section: Methodsmentioning

confidence: 99%

Environmental impact assessment of battery boxes based on lightweight material substitution

Li,

Zhang,

Liao

et al. 2024

Sci Rep

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“…These results encourage innovation, guaranteeing important improvements both in terms of energy requirements and GWP; such innovation represents a significant shift towards the circular approach. To evaluate the impact of the vehicle painting process, Bianco et al (2020) developed an LCI and environmental assessment that aimed to evaluate results linked to the vehicle painting process in an industrial plant in Italy. Papasavva et al (2002) and Oguzcan et al ( 2016) considered different paint type combinations based on solvent-borne, waterborne, and powder-borne bases for automotive industry application; the powder paints had the least amount of environmental impact.…”

Section: Paint Sustainabilitymentioning

confidence: 99%

Sustainable options for paints through a life cycle assessment method

Paiano

Gallucci

Pontrandolfo

et al. 2021

Journal of Cleaner Production

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“…Oliveira et al combined hierarchical analysis and preference ranking organization enrichment assessment methods to evaluate vehicle painting schedules [8]. Bianco et al provide a comprehensive life cycle inventory and life cycle assessment of the automotive painting process [9]. With the spread of data intelligence and data-driven thinking, process design technologies based on intelligent algorithms are widely used in various industries [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Ship Painting Process Design Based on IDBSACN-RF

Yuan

Niu

et al. 2021

Coatings

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The painting process is an essential part of the shipbuilding process. Its quality is directly related to the service life and maintenance cost of the ship. Currently, the design of the painting process relies on the experience of technologists. It is not conducive to scientific management of the painting process and effective control of painting cost. Therefore, an intelligent design algorithm for the ship painting process is proposed in this paper. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to form categories of painting objects by cluster analysis. The grey wolf optimization (GWO) is introduced to realize the adaptive determination of clustering parameters and avoid the deviation of clustering results. Then, a painting object classification model is constructed based on the random forest (RF). Finally, the recommendation of the painting process is realized based on the multi-objective evaluation function. Effectiveness is verified by taking the outer plate above the waterline of a shipyard H1127/7 as the object. The results show that the performance of DBSCAN is significantly improved. Furthermore, the accurate classification of painting objects by RF is achieved. The experiment proves that the dry film thickness qualification rate obtained by the painting process designed by IDBSCAN-RF is 92.3%, which meets the requirements of the performance standard of protective coatings (PSPC).

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Inventory and life cycle assessment of an Italian automotive painting process

Cited by 11 publications

References 30 publications

Environmental impact assessment of battery boxes based on lightweight material substitution

Environmental impact assessment of battery boxes based on lightweight material substitution

Sustainable options for paints through a life cycle assessment method

Ship Painting Process Design Based on IDBSACN-RF

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