Mechanical bruising of young coconut

Kitthawee, Udomsak; Pathaveerat, Siwalak; Srirungruang, Tanarat; Slaughter, David C.

doi:10.1016/j.biosystemseng.2011.04.002

Cited by 45 publications

(14 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mechanical damage is a primary cause of quality loss and degradation for apples according to investigations and the most important cause of bruising is conducted by excessive impact forces. [3] Due to the red skin of Fuji apples, it is difficult to detect the bruise damage which took place beneath the peel at an early stage. [4] Economic losses cannot be accurately estimated due to the lack of an approach for an objective quantitative evaluation of the degree of apple damage.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of impact damage to apples using NIR hyperspectral imaging

Zhang

Wang

et al. 2021

International Journal of Food Properties

View full text Add to dashboard Cite

Impact damage to apples is one of the most crucial quality factors and needs to be detected in postharvest quality sorting processes. In this study, the impact damage of the 'Red Fuji' apple fruit was investigated quantitatively by hyperspectral imaging technology. A total of 240 samples were prepared with six groups for different damage degrees. The hyperspectral imaging technique based on near-infrared (NIR) spectrometry in the range of 900-1700 nm was used to measure mechanical parameters, such as the average pressure, contact load, damaged area, absorbed energy, and damaged firmness. Four types of spectral pre-treatment, including the standard normal variate, multiplicative scatter correction, first-order derivative, and second-order derivative, were adopted to improve the model's predictive performance. The quantitative relationships between spectra and mechanical parameters were successfully modeled based on partial least squares (PLS) regression. For 'Red Fuji' apples, raw spectral data without pretreatment performed better than those after spectral pre-treatments. In this model, the characteristic wavelengths were selected by the Savitzky-Golay second-order derivative (SG 2 nd Der) and competitive adaptive reweighted sampling (CARS) method. The results indicate that the CARS-PLS regression model produced better results than the SG 2 nd Der-PLS regression model. The good prediction performances were presented by the coefficient of determination (R P 2 ) and root mean square errors of prediction (RMSEP) values. The R P 2 and RMSEP results of the average pressure, contact load, damaged area, absorbed energy, and damaged firmness are 0.66 and 0.02 MPa, 0.86 and 53.80 N, 0.83 and 116.37 mm 2 , 0.81 and 0.24 J, and 0.64 and 0.19 N, respectively. This study demonstrates the potential of the NIR hyperspectral imaging technique as a highly accurate way to quantitatively predict the mechanical parameters of apples.

show abstract

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of impact damage to apples using NIR hyperspectral imaging

Zhang

Wang

et al. 2021

International Journal of Food Properties

View full text Add to dashboard Cite

show abstract

“…There are many ways to study the mechanics of fruit deformation. Fruit mechanics is usually characterized by rigid plate‐probe uniaxial compression experiment, which is widely used for apples (Abbott & Lu, 1996), peaches (Kabas & Vladut, 2014), tomatoes, and other fruits (Chen, De Baerdemaeker, & Bellon, 1996; Kitthawee, Pathaveerat, Srirungruang, & Slaughter, 2011; Li, Andrews, & Wang, 2017; Stropek & Gołacki, 2015).…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of blueberry stack damage

Zheng

Jing-hui

Tian

et al. 2021

J Food Process Engineering

View full text Add to dashboard Cite

Blueberries are prone to mechanical damage during the processes of grading, packaging, transportation, and selling, and stack damage is one of the important causes of blueberry quality loss. The mechanical parameters of blueberry should be obtained firstly to create the mechanical model for analyzing the stack problems of multilayer blueberries. Precise mechanical parameters were obtained for the first time by performing a compression experiment and analyzing an explicit dynamics simulation based on the finite element model. It was found that the elastic modulus of the blueberries was 0.225 MPa and that the Poisson's ratio of the blueberries was 0.35. The placement direction of the blueberries had the greatest impact on the rupture force, followed by the number of stacked layers and the loading speed. A regression model

show abstract

“…Furthermore, various studies have focused on the minimum energy causing agricultural material damage. Specifically, Kitthawee et al found that the probability of incurring a bruise on a young coconut fruit was well correlated with compression or impact energy below the bruise threshold [19]. Accordingly, young coconut fruit was found to be much more susceptible to bruising under impact than under compression based on the variations in the minimum energy level required to bruise the fruit.…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of Low-Damage Maize Snapping Mechanism Based on Deformation Energy Conversion

Zhang

Geng

2021

Applied Sciences

View full text Add to dashboard Cite

Reducing ear damage is the key to improving the quality of maize harvests. In order to reduce the impact and damage of the ear caused by the ear snapping mechanism, this paper proposes a method to convert ear deformation energy during collision into elastic potential energy in the ear snapping mechanism. According to the above method, a low-damage maize snapping mechanism was designed. In order to verify the feasibility of energy conversion in reducing damage, the dynamic model of the contact between the ear and the snapping plate was established, and a dynamic simulation analysis was carried out based on the finite element method (FEM). In order to obtain better parameters for the improved mechanism, a test rig was established, after which a performance test was carried out on the test rig. The results showed that the primary and secondary order that affected the ear damage rate was the rotational speed of the snapping roller, the spring stiffness and the forward speed. The data processing software Design Expert was used to optimize the parameters, it was concluded that when the rotational speed was 805 r·min−1, the forward speed was 1.29 m·s−1, the spring stiffness was 33.5 N·mm−1, the model predicted that the ear damage rate was 0.023%. Therefore, this paper could provide further reference for research into maize low-damage ear snapping technology.

show abstract

Mechanical bruising of young coconut

Cited by 45 publications

References 15 publications

Quantitative evaluation of impact damage to apples using NIR hyperspectral imaging

Quantitative evaluation of impact damage to apples using NIR hyperspectral imaging

Finite element analysis of blueberry stack damage

Development and Evaluation of Low-Damage Maize Snapping Mechanism Based on Deformation Energy Conversion

Contact Info

Product

Resources

About