Rotačný delič PT 100

Technické informácie (1)

Technické správy (10)

  • Quality control of coal: The influence of sample preparation on elemental analysis results

    The most common types of coal (lignite, bituminous and anthracite) are distinguished by their different chemical and physical properties. The calorific value of coal can be determined by analyzing its carbon content, for example with combustion analyzers. In addition, efficient management of the desulfurization plant requires control of the sulfur content. Compared to the large amount of coal a typical laboratory sample consists of - a 10 liter bucket or even more - the sample volume required for analysis is fairly low, only approx. 1 g. The standard DIN 51701 defines the sample amount to be tested as this relates to the particle size: The bigger the particles are, the more sample material is required.
  • Sample Preparation and Analysis of Arsenic in Rice

    Considerable care must be taken when analyzing a sample like rice in order to achieve an accurate result. The major source of error when analyzing a bulk material comes not from the analytical measurement itself, but from the sample handling, i.e., sampling, sample division, grinding, digestion, etc.
  • Recycled glass - a valuable resource

    Today, recycled glass is the most important resource for the glass industry. The processed glass can be reintroduced to the melting process any number of times and made into new products. In Germany, currently up to 95 % of recycled glass is used for producing glass, which has various advantages: energy saving, less consumption of primary raw materials (such as lime and silica sand) and the reduction of landfill costs for waste glass.
  • Representative Analysis Results Require Adequate Sample Preparation

    A faultless and comparable analysis is closely linked to an accurate sample handling. Only a sample representative of the initial material can provide meaningful analysis results. Rotating dividers and rotary tube dividers are an important means to ensure the representativeness of a sample and thus the reproducibility of the analysis. Correct sample handling consequently minimizes the probability of a production stop due to incorrect analysis results. Thus correct sample handling is the key to effective quality control.
  • Detection of Mycotoxins in Nuts

    Preliminary and fine size reduction
  • Sample Preparation of Solid Materials for the XRF-analysis

    X-Ray fluorescence is one of the most versatile methods to determine elements in a sample. The material is exposed to x-rays that cause each element to emit its own unique fluorescent x-ray. The subsequent analysis of the results is based on comparisons to standard samples with given chemical composition.
  • Representative results require adequate sample preparation

    The following situation is typical for many production plants: After a routine quality check, the production process is stopped or an already produced batch is suspended, because the analysis results were not within the relevant critical values. But does the tested product really deviate from the specifications? The quality control managers are convinced of this because modern analysis instruments provide results with very low tolerances. The sample in question was tested several times and the result was confirmed. The question is why the product does not match the specifications although the production parameters have not been changed in any way.
    The possibility that the tested product is indeed deficient cannot be excluded. However, it is often not the product itself which causes irregular analysis results but a lack of understanding of the steps which come before the analysis.
  • Comparative investigations on spinning rifflers

    The influence of the degree of mixing of the material and the influence of the operating data of the apparatus were investigated in two spinning rifflers.
  • Fine Tuning Sieve Analysis for Accurate Particle Size Measurement

    All to often, this useful method is overlooked. But if followed, these principles deliver accurate and reliable results at an affordable price.
  • Put the squeeze on

    Sieving is cost effective for particle sizes greater than 75 μ, although the technique can be used for some materials of smaller size if the method can be validated. Assuming the relevant standards and clean, wellmaintained equipment that conforms to the standards are used, sieving can provide an accurate and reproducible measure of particle size distribution within a sample.

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