Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete
In this study, the practical application of self-healing asphalt mixtures incorporating steel wool fibers and induction heating was investigated, expanding upon previous research that primarily assessed the self-healing properties rather than optimizing the heating process. Specifically, the aim was...
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| creator | Penalva-Salinas, Marina Llopis-Castelló, David Alonso-Troyano, Carlos García, Alfredo |
| description | In this study, the practical application of self-healing asphalt mixtures incorporating steel wool fibers and induction heating was investigated, expanding upon previous research that primarily assessed the self-healing properties rather than optimizing the heating process. Specifically, the aim was to enhance the induction heating methodology for a semi-dense asphalt concrete mixture (AC 16 Surf 35/50 S). In this research, the induction heating parameters were refined to improve the self-healing capabilities, focusing on the following three key aspects: (i) energy consumption, (ii) heating rate, and (iii) heating homogeneity. The findings reveal that the current intensity, the percentage of ferromagnetic additives, and coil shape are critical for achieving optimal heating conditions. Higher current intensity and additive percentage correlate with improved heating speed and reduced energy consumption. Additionally, variations in coil shape significantly influence the heating uniformity. Although asphalt mixtures with steel slag coarse aggregates exhibit slightly higher specific heat, this aggregate type is preferable for sustainability, as it allows for the recycling of industrial waste. The optimized mixtures can rapidly reach high temperatures, facilitating effective crack repair. This innovation offers a durable, environmentally friendly, and cost-effective solution for road maintenance, thereby enhancing the longevity and performance of asphalt pavements. |
| doi_str_mv | 10.3390/ma17225602 |
| format | Article |
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Specifically, the aim was to enhance the induction heating methodology for a semi-dense asphalt concrete mixture (AC 16 Surf 35/50 S). In this research, the induction heating parameters were refined to improve the self-healing capabilities, focusing on the following three key aspects: (i) energy consumption, (ii) heating rate, and (iii) heating homogeneity. The findings reveal that the current intensity, the percentage of ferromagnetic additives, and coil shape are critical for achieving optimal heating conditions. Higher current intensity and additive percentage correlate with improved heating speed and reduced energy consumption. Additionally, variations in coil shape significantly influence the heating uniformity. Although asphalt mixtures with steel slag coarse aggregates exhibit slightly higher specific heat, this aggregate type is preferable for sustainability, as it allows for the recycling of industrial waste. The optimized mixtures can rapidly reach high temperatures, facilitating effective crack repair. This innovation offers a durable, environmentally friendly, and cost-effective solution for road maintenance, thereby enhancing the longevity and performance of asphalt pavements.</description><identifier>ISSN: 1996-1944</identifier><identifier>EISSN: 1996-1944</identifier><identifier>DOI: 10.3390/ma17225602</identifier><identifier>PMID: 39597425</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Aggregates ; Asphalt mixes ; Asphalt pavements ; Coils ; Concrete ; Cost control ; Efficiency ; Emission standards ; Energy consumption ; Ferromagnetism ; Heat treating ; Heating rate ; High temperature ; Homogeneity ; Induction heating ; Industrial wastes ; Manufacturing ; Microwave heating ; Optimization ; Road maintenance ; Roads & highways ; Self healing materials ; Steel fibers ; Temperature ; Viscoelasticity</subject><ispartof>Materials, 2024-11, Vol.17 (22), p.5602</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. 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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Aggregates Asphalt mixes Asphalt pavements Coils Concrete Cost control Efficiency Emission standards Energy consumption Ferromagnetism Heat treating Heating rate High temperature Homogeneity Induction heating Industrial wastes Manufacturing Microwave heating Optimization Road maintenance Roads & highways Self healing materials Steel fibers Temperature Viscoelasticity |
| title | Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete |
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