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What Formulas Are Used to Determine a Crusher's Hourly Output?

Determining a crusher's hourly output involves considering several factors and using specific formulas related to mechanical and operational aspects. Here are some aspects and formulas used to determine a crusher's output:

  1. Crusher Throughput Capacity:

    • The capacity of a crusher is given by the formula: Q=w×s×f×nk where:
      • ( Q ) is the capacity (in tons per hour),
      • ( w ) is the width of the discharge opening (typically in meters),
      • ( s ) is the stroke length (in meters),
      • ( f ) is the frequency of the crushing cycle (number of cycles per minute),
      • ( n ) is the bulk density of the material (in tons per cubic meter),
      • ( k ) is a constant that varies depending on the type of crusher and material.
  2. Crushing Efficiency:

    • Efficiency can be estimated from the power consumption and the size reduction ratio, given by: Efficiency=(Output SizeInput Size)×100%
  3. Material Hardness and Size:

    • The characteristics of the material being processed (such as hardness and moisture content) can influence throughput.
    • Hard materials might lower the crusher capacity, whereas excessive moisture can affect the throughput rate by causing blockages or reduced feed rates.
  4. Adjustment Factors:

    • Downtime due to maintenance or equipment adjustments,
    • The operational settings such as closed side settings (CSS),
    • Wear and tear which might reduce overall efficiency and throughput.
  5. Empirical Equations:

    • Empirical data and manufacturer guidelines provide charts and tables that give expected production rates for different settings and feed characteristics.
  6. Power Consumption:

    • The energy consumed by the operation can be used to estimate output: Power Consumption=Capacity×Material Work IndexTotal Crusher Efficiency

By analyzing these aspects, you can objectively determine a crusher's potential production output per hour. Practically, field testing and adjustments based on onsite conditions provide the most accurate capacity figures.

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