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Investigating the damage characteristics of kiwifruits through the integration of compressive load and finite element method

文献类型： 外文期刊

作者： Ban, Zhaojun 1 ; Chen, Haobin 1 ; Fang, Chenyu 1 ; Jin, Linxuan 1 ; Kitazawa, Hiroaki 2 ; Chen, Cunkun 3 ; Liu, Lingling 1 ; Lu, Jiancai 4 ;

作者机构： 1.Zhejiang Univ Sci & Technol, Sch Biol & Chem Engn, Zhejiang Prov Collaborat Innovat Ctr Agr Biol Reso, Zhejiang Prov Key Lab Chem & Biol Proc Technol Far, Hangzhou 310023, Peoples R China

2.Japan Womens Univ, Fac Human Sci & Design, Dept Food & Nutr, Tokyo 1128681, Japan

3.Tianjin Acad Agr Sci, Natl Engn Technol Res Ctr Preservat Agr Prod, Key Lab Postharvest Physiol & Storage Agr Pro Duct, Inst Agr Prod Preservat & Proc Technol,Minist Agr, Tianjin 300384, Peoples R China

4.Qiandao Lake Tingyuan Family Farm Chunan Cty, Hangzhou 311799, Peoples R China

关键词： Kiwifruit; Finite element method; Bruise volume

期刊名称：JOURNAL OF FOOD ENGINEERING （ 影响因子：5.3； 五年影响因子：5.3 ）

ISSN： 0260-8774

年卷期： 2024 年 383 卷

页码：

收录情况： SCI

摘要： Fruits are susceptible to various forms of mechanical damage after harvesting. Compression-induced bruising is the most common damage incurred, and it crucial to mitigate this for reducing economic losses associated with fruit. This study investigates the impact of compression on kiwifruit. Experiments combined with finite element method simulations were conducted to analyze the relationship between compression distance and bruise volume of kiwifruits under different storage times. This study's results found that compression distance and storage time are linearly positively correlated with the bruise volume of kiwifruit. The difference in bruising volume between simulation results and actual results is less than 14 %. The aforementioned results indicate that our employed compression model is capable of simulating real compression scenarios. This study provides significant theoretical insights into predicting and evaluating potential damages that may occur during post-harvest processing of kiwifruits under compression conditions.

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