Environmentally informed modelling and optimisation of shredding performance for recycling waste tyres

The shredding process is a crucial and foundational step in most waste tyre recycling processes, designed to reduce tyre size into smaller fragments. However, a comprehensive quantitative analysis is required to determine the optimal shredding performance with minimum energy consumption and maximum productivity. Moreover, there is a need to investigate the environmental impacts of the shredding process for sustainable waste tyre management. To address these challenges, this paper aims to optimise both shredding performance and environmental impact by using Finite Element Methods (FEM) and Life Cycle Assessment (LCA). A FEM simulation model is developed and thoroughly validated against performance criteria, including particle size & distribution and energy consumption. We establish a cradle-to-grave structure, covering material acquisition, de-beading, shredding, classifying, and embankment application. The FEM model aligns the significant inputs and the outcomes of the shredding simulation with the scope and inventory of LCA. The FEM-LCA model is employed to investigate the effects of key design and operational variables on shredding performance and environmental indicators, including particle characteristics, throughput, energy consumption, and CO 2 emissions. By constructing an input-output correlation coefficient matrix, we identify parameters that have strong correlations with both shredding performance and environmental outcomes. Shredding process with reduced shaft clearance and cutter clearance can generate 80% and 50% more (<100mm) shreds but consume 57% and 100% more energy for recycling waste tyres. However, increasing the clearances by 40 mm results in a reduction of CO 2 emissions in the shredding process by 25% and 50%, respectively. With a cutter clearance of 60 mm and a shaft clearance of 400 mm, these optimised settings improve shredding performance while enhancing environmental sustainability. • Investigated the shredding process in waste tyre recycling using the finite element method. • Developed an integrated finite element method and life cycle assessment strategy to evaluate the waste tyre recycling process. • Assessed the impact of variations in the shredding process on performance and environmental outcomes. • Optimised the shredding process to achieve an effective balance between performance efficiency and environmental sustainability.

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Publication Details

Journal
Journal of Cleaner Production
Published
2025-05-22
DOI
https://doi.org/10.1016/j.jclepro.2025.145696
Citations
4
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
3.99
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article

Environmentally informed modelling and optimisation of shredding performance for recycling waste tyres

Scott Adams, Dileep Kumar, Michael Norton, Suiyang Khoo et al.
4 citations
Journal of Cleaner Production
Recycling and Waste Management Techniques
3.99
article

Environmentally informed modelling and optimisation of shredding performance for recycling waste tyres

Scott Adams, Dileep Kumar, Michael Norton, Suiyang Khoo, Abbas Z. Kouzani, Pei Yang, Bing Han
article en
4 citations

Abstract

The shredding process is a crucial and foundational step in most waste tyre recycling processes, designed to reduce tyre size into smaller fragments. However, a comprehensive quantitative analysis is required to determine the optimal shredding performance with minimum energy consumption and maximum productivity. Moreover, there is a need to investigate the environmental impacts of the shredding process for sustainable waste tyre management. To address these challenges, this paper aims to optimise both shredding performance and environmental impact by using Finite Element Methods (FEM) and Life Cycle Assessment (LCA). A FEM simulation model is developed and thoroughly validated against performance criteria, including particle size & distribution and energy consumption. We establish a cradle-to-grave structure, covering material acquisition, de-beading, shredding, classifying, and embankment application. The FEM model aligns the significant inputs and the outcomes of the shredding simulation with the scope and inventory of LCA. The FEM-LCA model is employed to investigate the effects of key design and operational variables on shredding performance and environmental indicators, including particle characteristics, throughput, energy consumption, and CO 2 emissions. By constructing an input-output correlation coefficient matrix, we identify parameters that have strong correlations with both shredding performance and environmental outcomes. Shredding process with reduced shaft clearance and cutter clearance can generate 80% and 50% more (<100mm) shreds but consume 57% and 100% more energy for recycling waste tyres. However, increasing the clearances by 40 mm results in a reduction of CO 2 emissions in the shredding process by 25% and 50%, respectively. With a cutter clearance of 60 mm and a shaft clearance of 400 mm, these optimised settings improve shredding performance while enhancing environmental sustainability. • Investigated the shredding process in waste tyre recycling using the finite element method. • Developed an integrated finite element method and life cycle assessment strategy to evaluate the waste tyre recycling process. • Assessed the impact of variations in the shredding process on performance and environmental outcomes. • Optimised the shredding process to achieve an effective balance between performance efficiency and environmental sustainability.

Journal of Cleaner ProductionVol. 515
Deakin University (AU)
Responsible consumption and production
Openalex Percentile: Top 7%
Recycling and Waste Management Techniques
3.99
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