Advance on rock-breaking cutter steels: A review of characteristics, failure modes, molding processes and strengthening technology

Journal of Materials Research and Technology, Год журнала: 2024, Номер 31, С. 2328 - 2354

Опубликована: Июнь 28, 2024

Rock breaking has always been a challenging problem that must be solved in projects such as excavating mountains, drilling wells, and constructing railways. Among the rock-breaking cutter steels, AISI H13 steel wear-resistant high manganese have become best choices. From characteristics failure modes of two, steels should simultaneously strength, toughness wear resistance to avoid short-term fracture/damage cost increase. Analyzing problems existing molding process die casting, forging, hot stamping, traditional strengthening technologies alloying optimization, heat treatment, surface treatment can achieve certain performance enhancement. After reaching limits technologies, series nanoparticle came into being. The selection, addition amount, method nanoparticles all affect microstructure, mechanical properties wear. To this end, article summarizes research progress challenges discusses mainstream technologies. It provides reference for future development high-quality high-performance with aim expand their application potentials other fields.

Язык: Английский

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A novel identification technology and real-time classification forecasting model based on hybrid machine learning methods in mixed weathered mudstone-sand-pebble formation

Tunnelling and Underground Space Technology, Год журнала: 2024, Номер 153, С. 106045 - 106045

Опубликована: Сен. 4, 2024

Язык: Английский

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Prediction of disc cutter wear of shield machines based on transfer learning

Tunnelling and Underground Space Technology, Год журнала: 2025, Номер 162, С. 106633 - 106633

Опубликована: Апрель 14, 2025

Язык: Английский

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Data-driven disc cutter wear prediction for shield tunneling in complex strata: model comparison and interpretation

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 155, С. 111041 - 111041

Опубликована: Май 9, 2025

Язык: Английский

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Optimized Data Preprocessing and Model Selection for TBM Cutter Wear Prediction

Coatings, Год журнала: 2025, Номер 15(5), С. 564 - 564

Опубликована: Май 9, 2025

The estimation of disc cutter life is important due to the high equipment replacement cost in tunnel boring machines (TBMs). In this paper, we propose a comprehensive method for predicting wear, integrating dimensionality reduction shield tunneling parameters, data input preprocessing, and optimized model selection. First, select core TBM operation parameters as inputs through principal component analysis (PCA) PCA directly. And, then, based on characteristics preprocessing time series models. This uses excavation rings units, providing more accurate representation actual process. Furthermore, by evaluating prediction accuracy, training efficiency, inference efficiency various models, demonstrate that combined + Min Max Scaler gated recurrent unit (GRU) achieves most results while offering real-time capabilities.

Язык: Английский

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Experimental and numerical investigation of the TBM disc cutter wear using a new tunnel boring machine laboratory simulator

Heliyon, Год журнала: 2024, Номер 10(17), С. e37148 - e37148

Опубликована: Авг. 29, 2024

Язык: Английский

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Evaluation method and application for cutter wear of large-diameter shield in composite stratum: A case study

Measurement, Год журнала: 2024, Номер unknown, С. 115789 - 115789

Опубликована: Сен. 1, 2024

Язык: Английский

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Settlement prediction of Nanjing Metro Line 10 with HOA-VMD-LSTM

Measurement, Год журнала: 2024, Номер unknown, С. 116477 - 116477

Опубликована: Дек. 1, 2024

Язык: Английский

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