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  1. Instrumentation & Measurement Magazine
  2. Year : 2000 Volume : 3
  3. Issue 1
  4. New techniques for commercial bread dough mixing
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Year : 2016 Volume : 19
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Year : 2001 Volume : 4
Year : 2000 Volume : 3
Issue 4
Issue 3
Issue 2
Issue 1
Flow measurements in open irrigation channels
Sensing moisture content in grain
New techniques for commercial bread dough mixing
Advanced instrumentation for agricultural equipment
The bilinear transformation
Giving good technical presentations
Acquiring and deploying software ICs
Applied Statistics for Scientists and Engineers [Book Review]
Year : 1999 Volume : 2
Year : 1998 Volume : 1

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New techniques for commercial bread dough mixing

Content Provider IEEE Xplore Digital Library
Author Fowler, E.R.
Copyright Year 1998
Abstract Bread dough mixing is a complex and uncertain process that involves both biological and mechanical polymerization. Although a human expert can control the mixing of dough, it is difficult to model mathematically for use in a conventional control schema. Using the results of the well-known mixograph test for gluten development, expert bakers have observed that the instantaneous mechanical power needed to mix dough has a significant relationship with the dough's gluten development and hydraulic absorption. A logical conclusion based on this observation is to measure the input electrical power for automatic control of large dough mixers. Such a control system must sense the instantaneous, three-phase input power; this signal is very noisy, nonlinear, nonstationary, and time varying. Hence, fuzzy logic is a good tool for developing an automatic control system. Such a system is described.
Starting Page 21
Ending Page 25
Page Count 5
File Size 461977
File Format PDF
ISSN 10946969
Volume Number 3
Issue Number 1
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2000-03-01
Publisher Place U.S.A.
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Automatic control Polymers Humans Biological system modeling Mathematical model Testing Absorption Power measurement Electric variables measurement Nonlinear control systems
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Instrumentation
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