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Design and Test of Improved Porcine Backfat Trimming Machine

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Title: Design and Test of Improved Porcine Backfat Trimming Machine
Author: Hummel, Thomas
Department: School of Engineering
Program: Engineering
Advisor: Abdullah, HusseinMittal, Gauri
Abstract: This work examines the design and test of a lab scale, improved automated fat trimming machine, that attempts to reduce or eliminate the need of human post processing by increasing the accuracy of the resulting back-fat layer for industrial pork loin processing. This involved the design, implementation, and experimentation of an ultrasonic fat-thickness detection algorithm using adaptive optimal filtering, integrated with a product shape modification mechanism and associated control algorithms. It was found that the ultrasound thickness detection methods was accurate to within 1.6 mm for fat thickness between 8 and 18 mm. Testing of the fully integrated machine yielded multiple mean thickness errors, with the most significant error being 2 mm. Due to mechanical issues related to the machine's feed mechanism, and low degrees of freedom in the shape modification assembly, further work is required to optimize the machine's performance for industrial testing.
Date: 2015-12
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