Research on Damage Properties of Apples Based on Static Compression Combined with the Finite Element Method

Liu, Xiaopeng; Cao, Zhentao; Yang, Liu; Chen, Huan; Zhang, Yonglin

doi:10.3390/foods11131851

Cited by 12 publications

(5 citation statements)

References 30 publications

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“…In this paper, the relationship between maturity, deformation and damage area of Korla fragrant pears is explored. The damage area increases with the increase in maturity and deformation, which is consistent with the research results of Mazhar, M et al [26], Liu et al [27], and Yu et al [17]. This is because the increase in maturity causes the decrease in fruit hardness [28], thus the fruit becomes softer, the resistance to extrusion load is weakened and the degree of damage rises.…”

Section: Discussionsupporting

confidence: 89%

Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

Liu

Niu

et al. 2023

Agronomy

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For a fast and accurate evaluation of the values of damaged fragrant pears, a prediction method of the damage degree of Korla fragrant pears was proposed. To study variation laws of damages of fragrant pears under different volumes of squeezing deformation, the partial least squares regression (PLSR), the generalised regression neural network (GRNN) and the adaptive neural fuzzy inference system (ANFIS) were chosen to predict the damage degree of fragrant pears and establish the optimal prediction model. The results demonstrated that with the increase of ripeness or deformation value, the damage degree of fragrant pears increases gradually. For performance comparison of prediction models based on PLSR, GRNN and ANFIS, it was found that the trained PLSR, GRNN and ANFIS can all predict the damage degree of Korla fragrant pears. The ANFIS, which inputs the membership function of dsigmf (R2 = 0.9979, RMSE = 46.6) and psigmf (R2 = 0.9979, RMSE = 46.6), achieves the best performance. Research results can provide theoretical references to the evaluation of the commodity value of damaged fragrant pears, quality grading of fragrant pears and design of the picking machine.

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Section: Discussionsupporting

confidence: 89%

Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

Liu

Niu

et al. 2023

Agronomy

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“…The PLA board is 3D printed and fixed with jackscrews, which are also used to ensure that the distance between the rollers is fixed during the rotation, and the PLA board is fixed to the transparent PMMA plate by hot melt adhesive, as shown in Figure 4c. The used TPU95A roller material has some elasticity to better protect the apple from damage during the rotation [32]. The 42 stepper motor is used to rotate the roller.…”

Section: Construction Of the Orientation Test Platform 231 Double Rol...mentioning

confidence: 99%

Theoretical Analysis and Experimental Research on the Apple Auto-Orientation Based on Flexible Roller

Luo,

Zhou,

Zhang

et al. 2023

Horticulturae

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After automatic in-field picking, apple stem shortening requires fixing the apple position and maintaining a relatively stable posture, which puts high demands on the automatic apple-orienting structure. In this paper, a novel dual roller compact apple field orientation structure with dual rollers rotating in the same direction is proposed. It can realize the uniform orientation of apples after automatic picking in any attitude, and the apple auto-orientation phenomenon is theoretically analyzed based on the accurately established apple model, then the apple orientation test platform was set up and a monocular camera combined with YOLOv5m was used to determine the time of apple orientation. The results showed that 70.21% and 96.81% of the apples were respectively oriented within 7 s and 28 s with only two flexible rollers rotating in the corresponding direction. All the apples were oriented, and 95.24% of them moved along the axis toward the calyx end. The generalizability of the apple orientation device for different shapes of apples was then verified, and the relationship between the shape characteristics of apples and orientation speed was later illustrated. A structural basis was finally presented for automatic stem shortening and surface damage detection in the apple field.

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“…Apart from measurement methods, an alternative approach is to estimate stresses using finite element (FE) analysis, which provides a user-friendly format for interpreting bruise formation in fruits. Several studies have reported on the analysis of static and dynamic contact pressure on fruits with the FE method [4,19,[43][44][45][46][47]. Nonetheless, there are some limitations to FE in predicting bruise area without data support and guidance from contact pressure measurements.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Contact Pressure Distribution and Bruising Prediction of Apple under Compression Loading

Wang,

2024

Processes

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The pressure distribution characteristics of an apple subjected to compressive loading were investigated using the pressure-sensitive film (PSF) technique combined with apple bruise measurements. Pressure was unevenly distributed in the elliptical contact region. The average pressure had no effect on bruising because it changed slightly in the range of 0.26–0.31 MPa with increasing load. Pressures of 0.20–0.40 MPa accounted for 72% of the total pressure area. Comparatively, the area where pressure over 0.50 MPa was distributed could be ignored and showed little contribution to the bruise area. The contact edge subjected to pressure below 0.10 MPa showed that no bruising occurred. As a result, the relationship between the ≥0.10 MPa pressure area strongly correlated with the bruise area according to a linear equation, with a correlation coefficient of ≥0.99. When this relationship was applied to determine the bruise area with FE, satisfactory predicted results were obtained with minor error rates of 0–7.89% for loads of 54–80 N. But larger prediction errors occurred when the load was above 90 N, suggesting that the linear elastic FE model may not be appropriate for accurately predicting apple bruising.

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Research on Damage Properties of Apples Based on Static Compression Combined with the Finite Element Method

Cited by 12 publications

References 30 publications

Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

Comparison of Prediction Models for Determining the Degree of Damage to Korla Fragrant Pears

Theoretical Analysis and Experimental Research on the Apple Auto-Orientation Based on Flexible Roller

Characterization of Contact Pressure Distribution and Bruising Prediction of Apple under Compression Loading

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