In view of the limitations of existing technologies in the field of hydrometallurgy regarding green environmental protection, the application value and development potential of the glycine leaching system as a new type of green hydrometallurgical leaching technology were explored. By analyzing the unique physicochemical properties of glycine and its application advantages in the hydrometallurgy industry, the development history of the glycine hydrometallurgical leaching technology was reviewed, the research status and commercial dynamics of this technology in treating different types of mineral resources were sorted out, and the main existing problems of the technology were systematically summarized. The research results show that the glycine green hydrometallurgical leaching technology can expand the existing technologies in the metallurgical industry, and has the potential to replace the traditional cyanide gold extraction technology, especially in the field of rare and precious metals. Meanwhile, from aspects such as applicable fields, leaching efficiency of target metals, universality for secondary resources, and the mechanism of synergistic leaching systems, the development direction of the technology is clarified. The glycine green hydrometallurgical leaching technology has significant application value in the field of green hydrometallurgy, and can provide references for metal resource utilization, recovery of rare and precious resources, and secondary resource processing.

Dynamic disasters such as rockburst caused by mining disturbance seriously restrict the development and utilization of deep mineral resources. It is of great significance to explore the propagation process of internal cracks in rocks to reveal the rock failure mechanism and disaster warning. Based on this, the spatial-temporal response characteristics of acoustic emission of granite under uniaxial loading were monitored. The single linkage clustering (SLC) method was used to construct the SLC structure of acoustic emission events. By introducing the spatial correlation length of acoustic emission events, the spatial correlation degree between acoustic emission events at different time scales was analyzed. The results show that the three-dimensional localization and energy properties of acoustic emission events can characterize the propagation and damage evolution process of microcracks in granite specimens. As the stress increases, the link length in the SLC structure gradually decreases, and the correlation within the crack cluster increases. The spatial correlation length has experienced three stages of high-level fluctuations, stable fluctuations and sudden increase. When it is close to the fracture of granite, the spatial correlation length increases sharply due to the redistribution and transmission of stress in the sample, which can be used as the early warning point of granite instability. The SLC method provides an effective method for studying the evolution process of rock crack propagation, which can provide a reference for the early warning and prevention of dynamic disasters such as rock burst.

With the deepening of environmental protection concepts and the continuous advancement of battery technology, the development of new energy vehicles has entered an explosive growth period, and it has also triggered a wave of disposal of retired batteries. In order to cope with the challenge of efficient and green recycling of waste lithium iron phosphate (LFP) batteries, the main literatures on the recycling of lithium iron phosphate batteries at home and abroad in recent years were comprehensively reviewed, and the latest developments of pretreatment, regeneration and repair, pyrometallurgical and wet recycling technologies were systematically introduced. By analyzing and comparing the main characteristics and shortcomings of various recovery technologies, the advantages of wet selective leaching in current recovery practice were pointed out, and the necessity of its development in the future comprehensive recovery of all components and multi-process coordination was emphasized.

The existing object detection algorithms for shaking table concentrate bands have problems such as inability to balance detection accuracy and speed, high computational costs, difficulty in compressing model size, and slow inference speed. To address these problems, a lightweight fusion network for shaking tables (YC-Lightweight Net) object detection algorithm was proposed. The YC-Lightweight Net model firstly used a repetitive visual transformation network to extract features from the images of shaking table sub-banding. Then, by introducing group space convolution, multi-scale efficient cross stage fusion modules, and using skip connections, an efficient and lightweight neck network was designed. Finally, a weight based layer adaptive pruning algorithm was used to compress the model size. The experimental results show that the accuracy, recall, mean average precision, and FPS indicators of the YC-Lightweight Net model are 98.4%, 97.9%, 98.8% and 333 frame/s, respectively. The detection accuracy and speed are significantly better than those of the compared models. The number of parameters, floating-point operations, and model size after pruning are 13.9%, 15.4% and 17.5% of the original model, respectively. The pruning operation greatly reduces the computational complexity and model size of the model. The YC-Lightweight Net model has good detection accuracy and real-time performance, meeting the requirements of industrial equipment for lightweight models in shaking table mineral processing plants. The study can provide a technical support for accurate identification of separation points in mineral bands and intelligent upgrading of the shaking table mineral processing plant equipment.

To optimize the mechanical strength performance of mine waste rock-tailings cemented backfill, the Box-Behnken design within the response surface methodology (RSM) was used to conduct a three-factor-three-level test. The synergistic effects of waste rock particle size (0 to −5 mm, +5 mm to −10 mm, +10 mm to −15 mm), mass concentration (84%, 86%, 88%), and sand-to-binder ratio (53%, 60%, 67%) on the uniaxial compressive strength of backfill at different curing ages (7 and 28 days) were systematically explored. At the same time, the traditional orthogonal test was introduced to compare the prediction accuracy and efficiency with the RSM. The RSM results reveal that particle size of waste rock predominantly governs the early-stage strength of the backfill, while mass concentration significantly influences the later-stage strength. The synergistic interaction between particle size and mass concentration is the most pronounced, jointly regulating the skeleton stability and interfacial bonding properties of the backfill. After experimental verification, the accuracy (R²) of the backfill strength prediction model obtained based on RSM is 0.994 9 (7 d) and 0.983 7 (28 d), respectively. The corresponding optimal filling material proportion condition are waste rock particle size of +5 mm to −10 mm, mass concentration of 85.5%, and sand-to-binder ratio of 58.6%. The results of the orthogonal experiment indicate that the particle size of waste rock plays a dominant role in the backfill strength in the early and later stages. Research has shown that RSM can effectively analyze the nonlinear coupling relationship of multiple factors, and the prediction accuracy is significantly improved compared to traditional orthogonal experimental methods.

Fiber-reinforced wet-mix shotcrete has excellent properties such as deformation resistance and crack resistance. To evaluate the support performance of fiber-reinforced wet-mix shotcrete, a series of tests were conducted, including uniaxial compressive tests, notched beam flexural toughness tests, and disk flexural tests. The test results indicate that, although the addition of fibers slightly reduces the compressive strength of wet-mix shotcrete, the flexural strength and energy absorption capacity have been significantly enhanced. The roadway support test results shows that the compressive strength of the steel fiber wet-mix shotcrete can reach 25 MPa, the thickness of the spray layer is maintained at 100−150 mm, with a minimal rebound and notable support effectiveness.

With the widespread application of lithium-ion batteries in underground mines, the safety issue of mining batteries has become increasingly prominent. The thermal runaway characteristics of large capacity lithium iron phosphate batteries for mining were studied by overcharging tests of 200 Ah LiFePO₄/C battery cell and battery module under different overcharging rates (0.5 C, 1 C, 1.5 C). The results show that the thermal runaway behaviors of the lithium iron phosphate batteries are divided into three stages: shell expansion, slow flue gas injection, and violent flue gas injection with subsequent natural cooling. As overcharging rate increases, the overcharged capacity required in each stage gradually decreases. The temperature after thermal runaway of the battery can reach up to more than 400 ℃, and the maximum temperature in the battery module test is significantly higher than that in the battery cell test. High temperature will pose a severe challenge to the safety of underground mines, and corresponding cooling and protective measures need to be taken. The thermal runaway effect of overcharged battery in the battery module does not cause thermal runaway reactions of adjacent batteries. The critical conditions for the thermal runaway chain reaction of mining batteries still need further study.

Based on the first-principles of density functional theory, quantum chemical calculations were performed using the CASTEP module of Materials Studio (MS) software to simulate and optimize the crystal structure, cleavage surface, and adsorption models of magnesite and hornblende in adsorption with reagents. On this basis, the band structure and density of states of magnesite and hornblende were analyzed. The adsorption energies of dodecylamine and the novel collector KDLX on the magnesite (104) and amphibole (110) surfaces were obtained, respectively. The results show that the band gap widths of magnesite and hornblende are 4.920 eV and 3.962 eV. The optimized crystal structure has a better stability. The ammonium hydrogen atoms in dodecylamine and KDLX undergo hydrogen bonding and physical adsorption with the oxygen atoms of minerals. Compared with dodecylamine, KDLX has a stronger adsorption capacity for hornblende and it is predicted that the collector can be used for flotation removal of silica-containing gangue minerals in magnesite ore. This study has revealed the surface characteristics of minerals and the adsorption mechanism of reagents, which has a guiding significance for the flotation separation of magnesite and hornblende and the selection of flotation reagents.

In order to better monitor the filling morphology effect of goaf, a study on the characterization of grouting filling morphology effect with polarizability as the target was carried out based on resistivity parameters. Seven different kinds of cement were selected and prepared with five different contents of graphite powder. The variation of resistivity and polarizability of cement-based grouting filling materials was analyzed. The electrical characteristics and compressive strength of grouting filling materials under different cement types and ratios were studied, and the application test was carried out. The indoor test results indicate that with the increase of graphite powder conten, the compressive strength decreases, and the polarizability increases. When the ratio of cement to graphite is less than 10:1, the polarizability increases rapidly. In addition to sulphoaluminate cement, the content of graphite powder has little effect on the resistivity of cement-based grouting filling materials. Under the condition that the resistivity difference before and after grouting filling in goaf is not obvious, the visual characterization of filling morphology effect can be realized by polarizability (when the polarizability value of filling material is more than 3 times that of surrounding rock, the characterization effect is obvious). The research finding which is of great significance for broadening the field of grouting geophysical monitoring and improving the monitoring effect.

In order to explore the influences of different cutting parameters on the cutting performance of the oscillating cutting disc, the Discrete Element Method was used to simulate the cutting process of the oscillating cutting disc, and the influences of eccentricity distance, oscillating frequency, feed rate and cutting depth on the cutting performance were studied. The results show that the average load of rock breaking with the oscillating cutting disc is obviously lower than that of the non-oscillating cutting disc. When the feed rate is 60 mm/s, 90 mm/s, 120 mm/s, 150 mm/s and 180 mm/s respectively, compared with the non-oscillating condition, the average load of the cutting disc under the oscillating condition is reduced by 37.37%, 44.19%, 57.47%, 60.32% and 61.25% respectively. Under the same condition, with the increase of eccentricity distance, the average load decreases firstly and then tends to be stable. With the increase of feed rate, the average load decreases gradually, and the maximum load increases gradually and then tends to be stable. When the feed rate is less than or equal to 90 mm/s, the average load increases with the increase of the oscillating frequency. When the feed rate is greater than 90 mm/s, the larger the oscillating frequency, the smaller the average load. When the cutting depth is 40 mm, the average load and the maximum load are the smallest. When the eccentricity distance, oscillating frequency, feed rate and cutting depth of the oscillating cutting disc are 3 mm, 60 Hz, 150 mm/s and 40 mm, the cutting performance is the best. The research results can provide a reference for the determination of the cutting parameters of the oscillating cutting disc.