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Coffee roasting acoustics.

Preston S Wilson1

  • 1Department of Mechanical Engineering, The University of Texas at Austin, 1 University Station C2200, Austin, Texas 78712 pswilson@mail.utexas.edu.

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|June 9, 2014
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Summary
This summary is machine-generated.

Automated coffee roast monitoring can be achieved by analyzing "cracking" sounds. Distinct acoustic parameters of first crack and second crack sounds differentiate roasting stages for precise control.

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Area of Science:

  • Food Science
  • Acoustics
  • Process Engineering

Background:

  • Coffee roasting involves complex physical and chemical changes.
  • Traditional monitoring relies on visual cues and time, lacking precision.
  • Acoustic emissions during roasting offer potential for real-time process analysis.

Purpose of the Study:

  • To investigate the acoustic properties of coffee bean cracking sounds.
  • To determine the feasibility of using these sounds for automated roast monitoring.
  • To identify key acoustic parameters that distinguish different roasting phases.

Main Methods:

  • Recording and analyzing acoustic signals emitted by coffee beans during roasting.
  • Quantifying parameters such as acoustic amplitude, frequency energy, and crack rate.
  • Comparing acoustic characteristics of "first crack" and "second crack" events.

Main Results:

  • "First crack" sounds exhibit higher acoustic amplitude compared to "second crack."
  • "First crack" emits more low-frequency energy than "second crack."
  • The rate of cracks during "second crack" is significantly higher than during "first crack."

Conclusions:

  • Acoustic analysis of coffee bean cracking sounds provides a viable method for automated roast monitoring.
  • Distinct acoustic signatures of "first crack" and "second crack" allow for differentiation of roasting stages.
  • This technique offers potential for improved consistency and quality control in coffee roasting.