See how a dual convection system combines natural housing cooling and forced oven cooling to im
See how a dual convection system combines natural and forced airflow with thermal insulation to
Separates LiOH, Li2CO3, Li2SO4, and Li2O in cathode active material using ONH, CS, and ICP-OES measurements for more accurate battery evaluation.
Two-stage pressure reduction lets a quadrupole mass spectrometer quantify low-concentration Ar from furnace gas with higher accuracy.
An inert-gas pyrolysis setup automates battery heating and gas collection for precise real-time analysis while reducing ignition and explosion risk.
Combining ONH, CS, and ICP-OES measurements separates Li2O, LiOH, Li2CO3, and Li2SO4 for more accurate cathode evaluation.
A sampling loop and switching valve enable constant standard-gas injection, turning battery-material EGA into quantitative oxygen analysis.
Phased small ballasts and pressure equilibration transfer known gas moles despite varying mixtures and pressure, cutting dilution and analysis time.
A dual-temperature CO-methane sensor works with oxygen sensing to improve combustion control and detect incomplete combustion hazards.
A screw-fixed replaceable electrode tip cuts elemental analyzer replacement labor and cost while preserving crucible mounting and analysis accuracy.
Stepwise thermal desorption and chemiluminescent detection separate inorganic and organic aerosol nitrogen, including water-insoluble fractions.
Blank data from the transient gas rise sets zero-point correction, cutting element analysis time without losing accuracy.
Conductivity change confirms whether acid reached the sample, preventing TOC errors caused by hard-to-verify small acid dosing.
Reverse-flow cleaning gas flushes dust from the filter back to the heating furnace, reducing replacements while maintaining analysis accuracy.
A multi-port valve and syringe pump unify sample and absorption-liquid supply, cutting component count, size, and cost in combustion ion chromatography.
Pre-mixed oxidation and makeup gases limit isotope substitution in a heated alumina reaction tube, improving oxygen quantification accuracy.
Ashing food samples and pressing the residue into a layered pellet improves LIBS sensitivity, surface stability, and matrix-effect control.
A neural network uses coal mill and DCS data to predict coal quality in real time, reducing analyzer cost and helping prevent deflagration and coking.
A two-stage gas separation and downstream N2O reduction path isolates CO2 for CRDS carbon isotope analysis while cutting reducer maintenance.
Conductivity change confirms whether acid reached the TOC sample, preventing errors from unverified acid addition.