CMXγ
Reduce process variability with the most advanced continuous on-stream mineral analyzer for cement blends and other powder materials. Seamlessly integrating sample preparation robotics, an array of ultra-fast NOVA SxD detectors for highly accurate and repeatable detection and analysis, the CMXγ is designed for directly measuring and reporting gypsum, lime, alumina, magnesia, iron oxide and sulfur trioxide as well as pozzolans or fly-ash additions for unparalleled levels of cement blends quality control.
Industry Applications:
Mineralogical analysis for cement blends control. CMXγ is exceptionally suited to control cement setting time, control gypsum feeders or maximize limestone, fly ash, pozzolan or slag additions.
Product Details:
- Powered by ClassX software
- Dimensions: 1200 x 900 x 750mm (47 x 35 x 30 inches)
- Weight: 180kg (400lb)
- Electrical specifications: 120/220 VAC 50 or 60Hz, 900W, 1 Phase
- Optional ruggedization module for outdoor configuration
Product Details:
- Powered by ClassX software
- Dimensions: 1200 x 900 x 750mm (47 x 35 x 30 inches)
- Weight: 180kg (400lb)
- Electrical specifications: 120/220 VAC 50 or 60Hz, 900W, 1 Phase
- Optional ruggedization module for outdoor configuration
Benefits:
- Results reported in real time for automatic correction
- Designed for remote, unattended operation
- Measures key quality parameters for unparalleled quality control
- Highly representative large sample intake 150g/minute (1/4lb)
- Integrated sample preparation robotics, ultra-fast detection and analysis
- NOVA SxD array of detectors positioned in a fixed pattern to detect minerals of interest for accurate high speed XRD analysis
- Increased reliability and up-time, with minimum MTBF
- Indoor or outdoor continuous online or at-line operation
- Intuitive and simple to use
- Industrial grade HD touchscreen computer interface for easy operation, control and diagnostics
- Powered by ClassX software suite
- Ideal when multiple cements are produced in one mill:
- Minimizes product changeover time
- Reduces variability