Study on Fruits Preservation in View of Surface Glossiness

2011 ◽  
Vol 338 ◽  
pp. 521-524
Author(s):  
Geng Jia Wang ◽  
Xin Guang Lv ◽  
Shu Ting Kuang ◽  
Hui Long Chen ◽  
Jing Peng
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Nondestructive Testing ◽  
Moisture Content ◽  
Linear Relation ◽  
Low Cost ◽  
Testing Method ◽  
Moisture Meter ◽  
R Value ◽  
Nondestructive Testing Method

Abstract: Nowadays, there is no low-cost fruit nondestructive testing method in China. The study aims to put forward a method about acquiring the moisture content of fruits indirectly by general photographic equipments. Firstly, general photographic equipment is used to obtain pictures of fruits or vegetables. Secondly, with the help of Matlab and Photoshop, the surface glossiness of the fruit or vegetable is gained. Thirdly, moisture content of a fruit or vegetable is measured through infrared moisture meter. Meanwhile, a Mathematical Model in Regression Analysis between the R value and the moisture content is established. Lastly, the non-linear relation between surface glossiness and moisture content of the fruit is found. Therefore, a new method about measuring the moisture content of fruits or vegetables through general photographic equipments is sought out.

Preliminary Nondestructive Testing Analysis on 3D Printed Structure Using Pulsed Thermography

2017 ◽  
Author(s):  
James R. Pierce ◽  
Nathan B. Crane
Keyword(s):  
Nondestructive Testing ◽  
Low Cost ◽  
Dimensional Solution ◽  
Pulsed Thermography ◽  
Testing Method ◽  
Post Process ◽  
Parameter Variations ◽  
3D Printed ◽  
Nondestructive Testing Method ◽  
Am Processes

Additive Manufacturing (AM) processes have vastly improved over the years and 3D-printed parts are no longer solely being used for prototyping but also as final products. Where AM parts are used in low-volume products, nondestructive testing is critical to validate product performance. This paper will discuss using an infrared thermography technique known as Pulsed Thermography (PT) based on the analysis of a theoretical one-dimensional solution as a nondestructive testing method for quantitatively measuring defect depths within a 3D-printed part made from a thermoplastic ABS. This method has previously been applied to composites, ceramics, and metals for quantification of defects, but no work has been done for thermoplastic 3D printed parts. This technique can potentially be integrated into existing equipment for online monitoring during part construction. This paper will demonstrate the ability of a low-cost PT system to characterize the surface of 3D-printed parts and detect the effect of common parameter variations. The capability of a PT system as a viable NDT method to quantitatively analyze a 3D-printed part would allow for post process quality control in comparison to initial design and simulation.

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