本数据集聚焦复杂微细粒毒砂型金矿的选择性磨矿与解离过程，系统涵盖磨矿工艺参数、分级设备参数对磨矿细度、分级效率及矿物解离度的影响数据。包括不同磨矿介质、pH 值、时间、浓度、钢球充填率、返砂比对磨矿效果的影响，旋流器给矿细度、压力、沉砂嘴直径对分级产品的影响，以及选择性磨矿解离 - 分级技术应用前后分级效率、毒砂与黄铁矿单体解离度的变化数据。该数据集为优化磨矿分级工艺、提升载金矿物解离效率及浮选指标提供基础数据支撑。\n
本数据主要涵盖磨矿介质、pH值、磨矿时间、磨矿浓度、钢球充填率、返砂比对磨矿细度和浮选指标的影响，分级给矿细度对旋流器溢流、底流细度的影响，旋流器给矿压力对分级效率的影响，沉砂嘴直径对分级产品的影响，选择性磨矿解离-分级技术应用前后对分级效率、毒砂及黄铁矿单体解离情况的影响相关实验数据。\n
1. 名称解释：磨矿介质：指磨矿过程中使用的介质类型；磨矿细度：磨矿产品中某一粒级的含量占比；钢球充填率：磨机内钢球体积占磨机有效容积的百分比；返砂比：磨矿循环中返砂量与原矿量的比值；分级效率：旋流器等分级设备分离合格粒级产品的效率；单体解离度：某矿物单体颗粒占该矿物总颗粒数的百分比。\n
2.量纲（度量单位）：磨矿浓度、钢球充填率、返砂比、分级效率、单体解离度单位为百分比（%）；磨矿时间单位为分钟（min）；磨矿细度（如 - 0.074mm 含量）单位为百分比（%）；旋流器给矿压力以给矿泵频率表示，单位为赫兹（Hz）；沉砂嘴直径单位为毫米（mm）；粒度单位为微米（μm）。\n
3. 数据精度：磨矿细度、分级效率、单体解离度精确至 0.01%；磨矿时间精确至 1min；给矿泵频率精确至1Hz；沉砂嘴直径精确至 1mm；钢球充填率、返砂比精确至 0.1%。", "ds_source": "
本数据集数据来源于试验观测，样品为青海都兰金辉矿业有限公司黄龙沟金矿（国内典型复杂微细粒毒砂型金矿）。试验过程中使用的仪器与方法包括：球磨机（MQYG 系列）进行磨矿试验，水力旋流器（FX100-GK 等型号）开展分级试验，激光粒度仪测定磨矿细度，光学显微镜及MLA系统分析矿物单体解离度，浮选机测定浮选指标；通过调整磨矿介质、工艺参数（浓度、时间等）及分级设备参数（压力、沉砂嘴直径等），获取不同条件下的试验数据。", "ds_process_way": "
本数据集数据为试验观测数据，加工过程如下：首先对金矿样品进行标准化制备，采用缩分法确保代表性；通过球磨机开展不同介质、参数组合的磨矿试验，同步记录磨矿时间、浓度等参数；利用水力旋流器进行分级试验，监测给矿压力、沉砂嘴直径等参数对溢流/底流细度的影响；采用粒度仪、显微镜等设备测定磨矿细度、单体解离度等指标；所有原始数据经重复试验验证、异常值剔除及精度校准后整理入库，确保数据准确性。", "ds_quality": "
数据准确，达到精度要求。", "ds_acq_start_time": "2023-07-01 00:00:00", "ds_acq_end_time": "2025-06-30 00:00:00", "ds_acq_place": "青海柴达木盆地", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 60019, "ds_files_count": 2, "ds_format": "*.docx", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "05ee9f10-4e91-4982-9d98-a9430468174b.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "761408cf-66c4-498b-b9f7-eacf2f1b43c2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.5021" ], "quality_level": 3, "publish_time": "2025-09-29 19:59:45", "last_updated": "2025-10-15 17:21:09", "protected": false, "protected_to": "2027-09-29 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.EMXK_01.DB6975.2025", "i18n": { "en": { "title": "Data on Selective Grinding and Liberation of Complex Fine and Ultra-fine Grained Arsenopyrite-type Gold Ore", "ds_format": "", "ds_source": "
The data in this dataset is sourced from experimental observations, with the sample being the Huanglonggou gold mine of Qinghai Dulan Jinhui Mining Co., Ltd. (a typical complex fine-grained toxic sand type gold mine in China). The instruments and methods used in the experimental process include: ball mill (MQYG series) for grinding tests, hydraulic cyclone (FX100-GK and other models) for grading tests, laser particle size analyzer for measuring grinding fineness, optical microscope and MLA system for analyzing mineral monomer dissociation degree, and flotation machine for measuring flotation indicators; By adjusting the grinding medium, process parameters (concentration, time, etc.), and grading equipment parameters (pressure, settling nozzle diameter, etc.), experimental data under different conditions can be obtained.", "ds_quality": "
The data is accurate and meets the precision requirements.", "ds_ref_way": "", "ds_abstract": "
This dataset focuses on the selective grinding and dissociation process of complex fine-grained toxic sand gold mines, covering the impact of grinding process parameters and grading equipment parameters on grinding fineness, grading efficiency, and mineral dissociation degree. This includes the effects of different grinding media, pH values, time, concentration, steel ball filling rate, sand return ratio on grinding efficiency, the influence of cyclone feed fineness, pressure, and sand settling nozzle diameter on grading products, as well as data on the changes in grading efficiency and the dissociation degree of arsenopyrite and pyrite monomers before and after the application of selective grinding dissociation grading technology. This dataset provides basic data support for optimizing the grinding and grading process, improving the dissociation efficiency of gold bearing minerals, and improving flotation indicators.\n
This data mainly covers the effects of grinding medium, pH value, grinding time, grinding concentration, steel ball filling rate, sand return ratio on grinding fineness and flotation indicators, the influence of grading feed fineness on cyclone overflow and bottom flow fineness, the influence of cyclone feed pressure on grading efficiency, the influence of sand settling nozzle diameter on grading products, and the experimental data related to the effects of selective grinding dissociation grading technology on grading efficiency, arsenopyrite and pyrite monomer dissociation before and after application.\n
1. Name explanation: Grinding medium: refers to the type of medium used in the grinding process; Grinding fineness: the proportion of a certain particle size in the grinding product; Steel ball filling rate: the percentage of the volume of steel balls inside the mill to the effective volume of the mill; Return sand ratio: the ratio of the amount of sand returned in the grinding cycle to the amount of raw ore; Classification efficiency: the efficiency of separating qualified particle size products using classification equipment such as cyclones; Monomer dissociation degree: the percentage of individual mineral particles in the total number of mineral particles.\n
2. Dimensions (units of measurement): Grinding concentration, steel ball filling rate, sand return ratio, grading efficiency, and monomer dissociation degree are measured in percentages (%); The unit of grinding time is minutes (min); Grinding fineness (such as -0.074mm content) is measured in percentage (%); The feed pressure of the cyclone is expressed in Hertz (Hz) as the frequency of the feed pump; The diameter of the sand settling nozzle is measured in millimeters (mm); The particle size unit is micrometers (μ m).\n
3. Data accuracy: Grinding fineness, grading efficiency, and monomer dissociation degree are accurate to 0.01%; Grinding time accurate to 1 minute; The frequency of the ore feeding pump is accurate to 1Hz; the diameter of the sand settling nozzle is accurate to 1mm; the steel ball filling rate and sand return ratio are accurate to 0.1%.
", "ds_time_res": "", "ds_acq_place": "Chaidamu Basin, Qinghai Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data in this dataset is experimental observation data, and the processing process is as follows: firstly, the gold ore samples are standardized and prepared, and the reduction method is used to ensure representativeness; Conduct grinding experiments using ball mills with different media and parameter combinations, and synchronously record grinding time, concentration, and other parameters; Conduct classification tests using a hydraulic cyclone to monitor the effects of feed pressure, sand settling nozzle diameter, and other parameters on the fineness of overflow/bottom flow; Using equipment such as particle size analyzer and microscope to measure indicators such as grinding fineness and monomer dissociation degree; All raw data are verified through repeated experiments, outlier removal, and accuracy calibration before being sorted and stored to ensure data accuracy.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "选择性磨矿", "矿物解离", "分级效率", "磨矿参数", "旋流器" ], "ds_subject_tags": [ "矿物学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海柴达木盆地" ], "ds_time_tags": [ 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "ds_managers": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "category": "其他" }