Category
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Order Code |
Product Name |
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L-02-01-M04 |
Far-Infrared Moisture Analyzer for Mining Laboratory Mineral Testing |
This Far-Infrared Moisture Analyzer adopts loss-on-drying thermogravimetric testing principle with an annular dark-field far-infrared heating unit and dual high-precision sensing system for stable moisture measurement of mineral and industrial samples. Equipped with German HBM load cell and PT1000 platinum-rhodium temperature sensor, the analyzer provides accurate weight and temperature tracking during drying cycles.
The 5-inch capacitive color touchscreen enables one-click automated operation with 96 customizable test recipes, multiple moisture calculation methods and flexible heating profiles. Supporting moisture, solid content and dry/wet ratio analysis, this compact analyzer is suitable for mining laboratory quality control, mineral testing and hydrometallurgical sample evaluation.
This Far-Infrared Moisture Analyzer supports standard mining laboratory workflows including mineral sample preparation, metallurgical testing, mineral analysis and hydrometallurgical material monitoring.
The analyzer rapidly measures moisture content of raw ore, coal, tailings, soil and mineral sand before crushing, splitting and acid digestion. Accurate moisture correction helps reduce mass deviation during dry basis calculation for subsequent XRF, ICP and fire assay analysis.
It measures solid content and dry/wet base ratios of mineral concentrates, filter residues and beneficiation by-products. Built-in calculation functions support consistent moisture data recording for mineral evaluation and batch quality control.
The adjustable mild and segmented step heating modes support testing of heat-sensitive mineral precipitates and leaching sludges. The analyzer provides moisture data for laboratory evaluation and hydrometallurgical process monitoring.
The graphical touchscreen guided operation simplifies sample tare, material loading and analysis startup. The system automatically stops after reaching constant weight equilibrium and provides immediate test data output.
The annular dark-field far-infrared heating structure provides even heat distribution across samples, helping prevent local overheating during testing of fragile mineral and chemical materials.
The imported German HBM high-stability load cell provides 0.002g weighing readability, while the PT1000 temperature probe supports 0.1℃ PID temperature adjustment for stable drying curve control.
Four heating profiles including Fast, Standard, Mild and Step Heating adapt to different material characteristics. Three termination modes including auto equilibrium stop, timed stop and manual stop support different laboratory testing requirements.
The system stores up to 96 customizable test recipes, allowing operators to preset heating temperature, mode and holding time for repeated mineral sample testing procedures.
Dynamic drying curve display and raw data recording improve test traceability. The RS232 communication interface supports connection with PCs, thermal printers, PLC and LIMS laboratory management systems.
USB offline firmware upgrade function supports long-term equipment performance optimization for mining and industrial laboratories.
| Parameter Item | Technical Index |
|---|---|
| Weighing Range | 124 g; optional 220 g / 300 g |
| Weighing Readability | 0.002 g |
| Moisture Resolution | 0.01% MC |
| Moisture Test Range | 0.00% ~ 100.00% |
| Solid Content Test Range | 0.00% ~ 100.00% DC |
| Weight Sensor | Imported German HBM high-stability load cell |
| Temperature Sensor | PT1000 precision platinum-rhodium probe |
| Heating Source | Annular dark-field far-infrared heater |
| Temperature Control Range | 40℃ ~ 200℃, customizable max 250℃ |
| Temperature Adjustment Precision | 0.1℃ PID control |
| Heating Modes | Fast, Standard, Mild, Step segmented heating |
| Test Termination Modes | Auto equilibrium stop / Timed stop / Manual stop |
| Storable Custom Test Recipes | Max 96 groups |
| Display Panel | 5-inch capacitive color touch screen |
| Data Communication Interface | RS232 serial port |
| Compatible External Equipment | PC, thermal printer, PLC, LIMS system |
| Power Supply | AC 220V ±10% 50Hz, 110V version customizable |
| Max Power Consumption | 500W |
| Overall Dimension | 315mm × 210mm × 205mm |
| Net Weight | 5.8 KG |
| Ideal Operating Temperature | 18℃ ~ 25℃, allowable range 1℃ ~ 38℃ |
| Repeatability Error | ≤ 3 divisions, practical test error ≤ 1 division |
| Optional Customization | Multiple weighing capacity models available upon consultation |
Extended 220g / 300g weighing load modules, 110V export power supply and matched thermal data printers can be configured separately to adapt different mineral sample batch sizes and regional power standards.
FKN PANDA Far-Infrared Moisture Analyzer provides reliable moisture testing performance through dual sensing technology combining German HBM load cell and PT1000 temperature measurement. The segmented heating design supports testing of sensitive mineral materials while maintaining consistent moisture correction data.
The analyzer improves laboratory efficiency through automated testing workflow, 96 stored test recipes and RS232 data transmission. These functions reduce repeated setup operations and support efficient mineral quality control procedures.
With compatibility across raw ore, coal, tailings, concentrates, soil and hydrometallurgical materials, the equipment fits mineral testing workflows from sample preparation to laboratory evaluation.
The compact integrated structure reduces laboratory space requirements, while stable heating performance and reduced maintenance frequency contribute to long-term operational reliability for mining and industrial laboratories.
Q1. How to select an infrared moisture analyzer for rapid moisture screening of ore samples in mining laboratories?
Selecting an infrared moisture analyzer for mining laboratory applications requires consideration of sample characteristics, testing workflow, required measurement speed, and integration with existing quality control procedures. Laboratories should evaluate the types of ores, concentrates, and mineral samples being tested, as well as the expected moisture range and testing frequency. The analyzer should support consistent moisture determination during sample preparation, mineral testing, and metallurgical evaluation processes. For new laboratory setup, expansion, or equipment replacement, selection should focus on compatibility with operational requirements, ease of use, calibration capability, and long-term reliability in continuous laboratory environments.
Q2. What sample preparation protocols ensure representative moisture measurement using infrared analyzers for mining samples?
Representative sample preparation is essential for reliable infrared moisture analysis in mining laboratories. Before measurement, samples should be properly collected, homogenized, and prepared according to the characteristics of the ore, concentrate, or mineral material. Factors such as particle size distribution, sample mixing, and surface condition can influence moisture evaporation behavior during testing. A consistent preparation procedure helps reduce variation between measurements and improves correlation with other moisture determination methods. In mining workflows, proper sample preparation supports accurate evaluation from sample collection through mineral testing and provides more reliable information for process decisions.
Q3. How does infrared heating penetration depth affect moisture measurement accuracy in ore samples?
Infrared moisture measurement performance can be influenced by how heating energy interacts with the sample surface and internal moisture distribution. Different mineral materials, particle sizes, colors, and structures may respond differently during drying. For heterogeneous ore samples or layered materials, laboratories should establish suitable measurement procedures to ensure the tested portion represents the overall sample condition. Understanding sample behavior helps engineers select appropriate testing methods and avoid measurement errors caused by uneven moisture release. Infrared moisture analyzers are commonly evaluated together with sample preparation practices and reference methods to maintain consistent laboratory quality control.
Q4. How to optimize infrared analyzer calibration for different ore mineralogy and moisture content ranges?
Calibration optimization is important when applying infrared moisture analyzers to different mineral materials, including ores, concentrates, and processing products. Since mineral composition, particle size, and moisture characteristics can vary between samples, calibration procedures should be developed using representative reference materials and verified against established moisture determination methods. Regular calibration checks help maintain measurement consistency during routine laboratory operation. For mining applications, a suitable calibration approach supports reliable moisture monitoring in exploration testing, metallurgical studies, and production quality control, allowing laboratory personnel to obtain data that is suitable for technical evaluation and process decision-making.
Q5. How to integrate infrared moisture analyzers into a complete mine-to-mill moisture monitoring and control workflow?
Infrared moisture analyzers can be integrated into mining workflows as part of a broader moisture control process covering sampling, preparation, testing, and operational evaluation. In laboratories, moisture data can support ore characterization, concentrate quality assessment, and metallurgical testing programs. In production environments, measurement information may assist with process monitoring and material handling decisions. Successful integration requires consideration of sampling location, measurement procedures, data management requirements, and communication with existing laboratory or process systems. The analyzer should complement the overall workflow from sample collection to process decision rather than operate as an isolated testing device.
Q6. Which parameters most influence measurement repeatability and correlation with gravimetric methods in infrared moisture analysis?
Measurement repeatability in infrared moisture analysis depends on several factors, including sample preparation consistency, measurement conditions, calibration quality, and sample characteristics. The relationship between infrared results and gravimetric reference methods should be evaluated using representative materials from the intended mining application. Variations in particle size, mineral composition, moisture distribution, and sample handling procedures may affect correlation. Establishing standardized operating procedures allows laboratory technicians to maintain consistent testing performance. For mineral processing and metallurgical laboratories, repeatable moisture data supports better comparison between samples and improves confidence in technical evaluations.
Q7. What factors should be considered when specifying an infrared moisture analyzer for high-throughput mining applications?
For high-throughput mining laboratory or production applications, infrared moisture analyzer selection should consider testing volume, workflow requirements, sample characteristics, and operational environment. Important factors include measurement speed, repeatability, calibration management, maintenance requirements, and compatibility with existing quality control procedures. In mineral processing operations, rapid moisture information can support timely decisions related to material handling, concentrate evaluation, and process optimization. Laboratories should also consider operator requirements and long-term operational stability when selecting equipment for continuous use, especially where frequent sample measurements are required across multiple shifts.
Q8. How does sample surface condition affect infrared moisture measurement accuracy in mining applications?
Sample surface condition can influence infrared moisture measurement because surface characteristics affect energy absorption and moisture release behavior. Factors such as particle distribution, surface roughness, color, and material composition may create differences in measurement response. To improve consistency, mining laboratories should apply controlled sample preparation and handling procedures before testing. Evaluating these factors is particularly important for heterogeneous ores, concentrates, and processed mineral materials. A clear understanding of sample characteristics helps laboratory personnel establish appropriate operating methods and ensures that moisture data provides meaningful support for mineral testing and metallurgical evaluation.
Q9. What maintenance is required for infrared moisture analyzers during long-term mining laboratory operation?
Regular maintenance helps maintain stable infrared moisture analyzer performance during continuous laboratory operation. Maintenance practices generally include cleaning measurement areas, checking sensor conditions, verifying calibration status, and inspecting components according to manufacturer recommendations. In mining environments, dust, mineral particles, and frequent sample handling may affect equipment performance if not properly managed. A preventive maintenance approach supports reliable operation during routine moisture testing and reduces unexpected interruptions. For laboratories involved in exploration, mineral processing research, or production quality control, maintaining equipment condition is an important part of ensuring consistent analytical workflow performance.
Q10. How to correlate infrared moisture analyzer data with production and downstream processing requirements?
Correlating infrared moisture analyzer data with production requirements requires understanding the relationship between measured moisture values, material characteristics, and operational objectives. In mining operations, moisture information may influence material transportation, concentrate handling, metallurgical testing, and process evaluation. Reliable correlation depends on representative sampling, appropriate calibration, and comparison with established laboratory methods. When properly integrated into quality control procedures, moisture measurement data can provide useful information for technical teams managing mineral processing workflows. The value of the analyzer is determined by how effectively the measurement results support operational decisions throughout the mining process.
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