SPECTRO Analytical Instruments has introduced the eighth generation of its SPECTROMAXx with iCAL 2.0 ARC/SPARK OES Analyser, improved with new capabilities and advancements in performance to achieve faster, more accurate elemental analysis tuned for material control and foundry applications.
The newest generation instrument features has been designed for speed, quick and simple standardisation, reliable and accurate results, minimal gas consumption, and a low cost of ownership for a more intelligent elemental analysis of incoming source materials, for in-process testing and traceability, and for final quality inspection.
The new SPECTROMAXx analyser’s faster measurement times and low consumables consumption provide greater productivity, analytical performance, ease of use, and cost-effectiveness than previous models.
The instrument achieves high speed with optimised spark parameters for a 12% reduction in measurement times. The fast information enables users to quickly react to changing process conditions, for savings in both time and energy costs.
The new analyser also features SPECTRO’s proprietary iCAL 2.0 calibration logic, which needs only 5 minutes and a single sample per day rather than the 30 or more minutes needed by conventional analysers. SPECTROMAXx with iCAL 2.0 compensates for most changes in environmental temperature or pressure without requiring reruns. Moreover, the instrument’s software features a simplified operator view and programmable application profiles for ease of use for less experienced personnel.
The product additionally minimises the use of costly argon gas without sacrificing analytical performance, while its advanced diagnostics with critical status indicators are hoped to make maintenance easier and prevent downtime.
OES technology enables SPECTROMAXx to detect and analyse samples containing free graphite, with results comparable to those achieved by combustion analysis. The analyser can monitor carbon during the pre-spark phase to detect free graphite and minimise its effects by selecting analytical conditions. This approach also uses a statistical method to detect bad samples automatically.
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