Duck Eggshell Crack Detection by Nondestructive Sonic Measurement and Analysis

Lai, Chia-Chun; Li, Cheng-Han; Huang, Ko-Jung; Cheng, Colin C.J.

doi:10.3390/s21217299

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…In contrast, damaged shells displayed different responses at distinct equatorial locations. This research inspired several other researchers to build accurate crack detection algorithms based on the vibration of the egg [ 13 , 14 , 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 85%

Non-Destructive Eggshell Strength Assessment Using Hertz Contact Theory Part I: Theory and Applicability

Ketelaere

Corion

Adriaens

et al. 2023

Foods

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In the egg industry, fast and highly reliable quality measurements are crucial. This study presents a novel method based on Hertz contact theory that allows for non-destructive determination of eggshell strength. The goal of the study was to evaluate the material strength (Young’s Modulus) and structural strength (stiffness) of eggshells. To this end, an experimental setup was constructed to measure the collision of an eggshell with a small steel ball, which was recorded using a laser vibrometer. The study analyzed a sample of 120 eggs and found a correlation of 0.85 between the traditional static stiffness measured during quasi-static compression tests and the stiffness obtained from the Hertz contact theory. The results show that Hertz contact theory is valid for small steel spheres impacting eggshells, while a sensitivity analysis indicated that the most important factor in determining the strength of the eggshell is the contact duration between the egg and the impactor. These results open up the possibility of grading eggs based on their shell strength in a non-destructive manner.

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Section: Introductionmentioning

confidence: 85%

Non-Destructive Eggshell Strength Assessment Using Hertz Contact Theory Part I: Theory and Applicability

Ketelaere

Corion

Adriaens

et al. 2023

Foods

View full text Add to dashboard Cite

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“…Lai et al measured the acoustic signals of intact duck eggs and cracked duck eggs, and they selected the five most significant frequency features as the input vectors in logistic regression analysis. The overall detection accuracy could reach 87.6% [9]. Wang et al developed an excitation device driven by solenoids, producing sound signals by striking the eggs.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Detection of Microcracks in Poultry Eggs Based on the Electrical Characteristics Model

et al. 2022

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The eggshell is the major source of protection for the inside of poultry eggs from microbial contamination. Timely detection of cracked eggs is the key to improving the edible rate of fresh eggs, hatching rate of breeding eggs and the quality of egg products. Different from traditional detection based on acoustics and vision, this paper proposes a nondestructive method of detection for eggshell cracks based on the egg electrical characteristics model, which combines static and dynamic electrical characteristics and designs a multi-layer flexible electrode that can closely fit the eggshell surface and a rotating mechanism that takes into account different sizes of eggs. The current signals of intact eggs and cracked eggs were collected under 1500 V of DC voltage, and their time domain features (TFs), frequency domain features (FFs) and wavelet features (WFs) were extracted. Machine learning algorithms such as support vector machine (SVM), linear discriminant analysis (LDA), decision tree (DT) and random forest (RF) were used for classification. The relationship between various features and classification algorithms was studied, and the effectiveness of the proposed method was verified. Finally, the method is proven to be universal and generalizable through an experiment on duck eggshell microcrack detection. The experimental results show that the proposed method can realize the detection of eggshell microcracks of less than 3 μm well, and the random forest model combining the three features mentioned above is proven to be the best, with a detection accuracy of cracked eggs and intact eggs over 99%. This nondestructive method can be employed online for egg microcrack inspection in industrial applications.

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