Use of digital image analysis as a monitoring tool for non-uniform deformation of shrinkable materials during drying
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
ไม่พบข้อมูลที่เกี่ยวข้อง
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Jinorose M., Stienkijumpai A., Devahastin S.
ผู้เผยแพร่: Taylor and Francis Group
ปีที่เผยแพร่ (ค.ศ.): 2017
วารสาร: Journal of Chemical Engineering of Japan (0021-9592)
Volume number: 50
Issue number: 10
หน้าแรก: 785
หน้าสุดท้าย: 791
จำนวนหน้า: 7
นอก: 0021-9592
eISSN: 1881-1299
ภาษา: English-Great Britain (EN-GB)
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บทคัดย่อ
Deformation is a phenomenon that is common during drying. Generally, deformation is evaluated and reported in terms of volumetric shrinkage. However, volumetric shrinkage cannot be used to describe non-uniform deformation, which commonly takes place during drying of shrinkable materials such as biopolymers, fruits and vegetables. In the present study, algorithms and software were developed to first reconstruct 3D images from 2D images, and then to monitor non-uniform deformation of such images. Agar gel with different sugar contents were used as the test materials and were allowed to undergo drying at different rates. The developed image reconstruction algorithms were successfully validated with standard geometrical shapes. Various image-based parameters, both in two dimensions, i.e. projected area, perimeter, major axis length, minor axis length, equivalent diameter, extent and fractal dimension; and in three dimensions, i.e. volume, sphericity, Wadell's sphericity, Wadell's roundness, radius ratio and Hoffmann shape entropy, were then calculated. The results showed that extent and fractal dimension could be used to identify the onset and to monitor non-uniform deformation in two dimensions, while sphericity could be used for such tasks in three dimensions. Copyright ฉ 2017 The Society of Chemical Engineers.
คำสำคัญ
Biomaterial, Shape factor
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