辣椒籽离散元仿真模型参数标定与试验验证

王森滨, 彭霞, 张立新, 王彩萍, 胡雪

石河子大学学报(自然科学版) ›› 2026, Vol. 44 ›› Issue (3) : 286 -295.

PDF (14835KB)
石河子大学学报(自然科学版) ›› 2026, Vol. 44 ›› Issue (3) : 286 -295. DOI: 10.13880/j.cnki.65-1174/n.2026.21.005
机械·电子·电气

辣椒籽离散元仿真模型参数标定与试验验证

    王森滨1, 彭霞1, 张立新2,3, 王彩萍4, 胡雪2,3*
作者信息 +

Parameter calibration and test verification of discrete element simulation model of chili seed

    WANG Senbin1, PEMG Xia1, ZHANG Lixin2,3, WANG Caiping4, HU Xue2,3*
Author information +
文章历史 +
PDF (15190K)

摘要

为了给辣椒籽加工装置的设计与优化提供理论基础,以“红龙23号”辣椒籽为研究对象,采用离散元法对辣椒籽与钢板间的相互作用进行数值仿真研究,进行辣椒籽离散元仿真模型参数标定。首先,通过物理试验对辣椒籽基本物性参数、接触力学参数和休止角进行测定,参考物理试验测定结果选取仿真试验参数取值范围;再以辣椒籽休止角试验测量的值为响应值,由Plackett-Burman试验得到显著影响休止角的试验参数,分别为辣椒籽-辣椒籽静摩擦系数、辣椒籽-辣椒籽动摩擦系数、辣椒籽-钢板碰撞恢复系数,并在Plackett-Burman试验的基础上,通过最陡爬坡试验确定显著参数的取值范围,分别为0.20~0.40、0.10~0.42、0.10~0.34。其次,采用Box-Behnken试验设计,建立休止角与显著因素之间的二阶回归模型,以休止角物理实测值作为优化目标,对关键参数进行寻优后得到最优参数组合为辣椒籽-辣椒籽静摩擦系数0.29、辣椒籽-辣椒籽滚动摩擦系数0.16、辣椒籽-钢板恢复系数0.30。最后,通过仿真与物理试验对比,结果表明参数标定后的休止角仿真试验与物理试验的休止角形状相似,角度相对误差为1.76%,从而验证了标定参数可为辣椒籽加工装置仿真提供数据依据。

Abstract

To provide a theoretical foundation for the design and optimization of chili seed processing equipment, “Honglong No.23” chili seeds were selected as the research object. The discrete element method was employed to perform numerical simulations on the interaction between chili seeds and steel plates, accompanied by the parameter calibration of the DEM simulation model for chili seeds. Firstly, physical experiments were conducted to determine the basic physical properties, contact mechanical parameters, and repose angle of chili seeds, based on which the value ranges of simulation parameters were selected. Subsequently, with the measured repose angle of chili seeds as the response value, the Plackett-Burman experiment was carried out to identify the parameters that significantly affect the repose angle, namely the static friction coefficient between chili seeds, the dynamic friction coefficient between chili seeds, and the coefficient of restitution for collisions between chili seeds and steel plates. On the basis of the Plackett-Burman experiment, the steepest ascent experiment was used to determine the value ranges of these significant parameters, which were 0.20~0.40, 0.10~0.42, and 0.10~0.34, respectively. Secondly, the Box-Behnken experimental design was employed to construct a second-order regression model characterizing the relationship between the repose angle and its significant influencing factors. With the experimentally measured repose angle as the optimization objective, key operating parameters were systematically optimized, and the optimal parameter combination was ultimately determined as follows: the static friction coefficient between chili seeds was 0.29, the rolling friction coefficient between chili seeds was 0.16, and the coefficient of restitution between chili seeds and steel plates was 0.30. Finally, the comparison between simulation and physical tests demonstrates that the repose angle obtained from the calibrated simulation is consistent in shape with the physical test result, with a relative error of 1.76%. It is verified that the calibrated parameters can serve as a valid data reference for the simulation of chili seed processing devices.

关键词

辣椒籽 / 离散元 / 休止角 / 参数标定

Key words

chili seed / discrete element / angle of repose / parameter calibration

引用本文

引用格式 ▾
王森滨, 彭霞, 张立新, 王彩萍, 胡雪. 辣椒籽离散元仿真模型参数标定与试验验证[J]. 石河子大学学报(自然科学版), 2026, 44(3): 286-295 DOI:10.13880/j.cnki.65-1174/n.2026.21.005

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1] 邹学校,杨莎,朱凡,等.中国高口感品质鲜食辣椒产业发展与未来趋势[J].园艺学报,2024,51(1):27-38.
ZOU X X, YANG S, ZHU F, et al. Progress and trends in development of pepper industry: high quality, good taste of fresh pepper[J]. Acta Horticulturae Sinica, 2024, 51 (1): 27-38.
[2] 霍晴,赵邦宏,王哲,等.我国加工辣椒产业西迁趋势、风险与对策建议[J].中国蔬菜,2025(5):1-7.
HUO Q, ZHAO B H, WANG Z, et al. Trend, risk and countermeasures of Chinese processed pepper industry moving westward[J]. China Vegetables, 2025(5): 1-7.
[3] 褚泽军,彭思嘉,侯鹏颉,等.我国辣椒主产地特色鲜椒品质评价及加工适宜性分析[U].食品科学,2025,46(20):47-56.
CHU Z J, PENG S J, HOU P J, et al. Quality evaluation and processing suitability analysis of specialty fresh chili peppers from main production areas in China[J]. Food Science, 2025, 46(20): 47-56.
[4] 朱妞.辣椒籽综合开发利用前景分析[J].中国调味品,2014,39(1):120-123.
ZHU N. Analysis of the comprehensive development and utilization perspective of chili seeds[J]. China Condiment, 2014, 39(1): 120-123.
[5] CHEN X, DING Y, SONG J, et al. Hypolipidaemic effect and mechanism of paprika seed oil on sprague-dawley rats[J]. Journal of the Science of Food and Agriculture, 2017, 97(12): 4242-4249.
[6] PARK H, LEE S, JEONG H, et al. The nutrient composition of the herbicide-tolerant green pepper is equivalent to that of the conventional green pepper[J]. Nutrition Research, 2006, 26(10): 546-548.
[7] 马燕,徐贞贞,邹辉,等.8个品种辣椒籽成分分析与比较[J].食品科学, 2017, 38(22):178-183.
MA Y, XU Z Z, ZOU H, et al. Analysis and comparison ofconstituents in hot pepper seeds ofeight verities[J]. Food Science, 2017, 38(22): 178-183.
[8] 马燕,孟伊娜,邹淑萍,等.高压脱脂辣椒籽分离蛋白提取工艺优化及其功能特性研究[J].中国调味品, 2020, 45(8):54-60.
MA Y, MENG Y N, ZOU S P, et al. Study on extraction process optimization and functional properties of high-pressure degreased capsicum seed protein isolate[J]. China Condiment, 2020, 45(8): 54-60.
[9] 鲜诗敏,赵德刚,杨红.辣椒籽不溶性膳食纤维碱法提取工艺研究及其理化性质分析[J].食品与发酵工业, 2023, 49(10):206-212.
XIAN S M, ZHAO D G, YANG H. Study on extraction process of insoluble dietary fiber base method of pepper seed and analysis of its physicochemical properties[J]. Food and Fermentation Industries, 2023, 49(10): 206-212.
[10] 肖轲,李高阳,尚雪波,等.辣椒籽提取物对冷却肉的抗氧化性及保鲜效果[J].中国食品学报,2020,20(6):202-208.
XIAO K, LI G Y, SHANG X B, et al. The antioxidant and preservation effect of chilli seed extract on chilled meat[J]. Journal of Chinese Institute of Food Science and Technology, 2020, 20(6): 202-208.
[11] 张胜伟,张瑞雨,陈天佑,等.绿豆种子离散元仿真参数标定与排种试验[J].农业机械学报,2022,53(3):71-79.
ZHANG S W, ZHAN R Y, CHEN T Y, et al. Calibration of simulation parameters of mung bean seeds using discrete element method and verification of seed-metering test[J]. Transactions of the CSAE, 2022, 53(3): 71-79.
[12] 郑效帅,尚书旗,王东伟,等.基于离散元法的油莎豆摘果脱出物筛分分析与试验[J].农机化研究,2024,46(3):146-153.
ZHENG X S, SHANG S Q, WANG D W, et al. Sieving analysis and experiment of threshing material of cyperus esculentus based on discrete element method[J]. Agricultural Mechanization Research, 2024, 46(3): 146-153.
[13] 张荣芳,周纪磊,刘虎,等.玉米颗粒粘结模型离散元仿真参数标定方法研究[J].农业机械学报, 2022, 53(S1):69-77.
ZHANG R F, ZHOU J L, LIU H, et al. Determination of interspecific contact parameters of corn and simulation calibration of discrete element[J]. Transactions of the CSAE, 2022, 53(S1): 69-77.
[14] 杨亮,王方艳.基于堆积试验的包衣胡萝卜种子离散元参数标定[J].农机化研究,2023,45(5):143-150.
YANG L, WANG F Y. Calibration of parameters of coated carrot seeds required in discrete element method simulation based on repose angle of particle heap[J]. Agricultural Mechanization Research,2023, 45(5): 143-150.
[15] 牟家宏,杨发展,杨云鹏,等.基于流固耦合仿真水稻种子建立与参数标定[J].农机化研究,2022,44(7):14-20.
MOU J H, YANG F Z, YANG Y P, et al. Building and calibration of parameters of rice seeds for fluid-solid coupling simulation[J]. Agricultural Mechanization Research, 2022, 44(7): 14-20.
[16] 于英杰,崔杰,马二登,等.烟草包衣种子离散元仿真参数标定与试验[J].中国农机化学报, 2025, 46(9):264-269.
YU Y J, CUI J, MA E D, et al. Calibration and experiment of discrete element simulation parameters for tobacco coated seed[J]. Journal of Chinese Agricultural Mechanization, 2025, 46(9): 264-269.
[17] 马永超,王尊,石林榕,等.冬小麦种子颗粒离散元仿真参数标定[J].中国农业大学学报,2025,30(3):175-184.
MA Y C, WANG Z,S HI L R, et al. Determination the intrinsic parameters and calibration of contact parameters for wheat seed particles[J]. Joumal of China Agricultural University, 2025, 30(3): 175-184.
[18] 徐庄威,王士林,易中懿,等.基于JKR模型的辣椒籽离散元参数标定[J].中国农机化学报,2023,44(9):85-95.
XU Z W, WANG S L, YI Z Y , et al. Parameter calibration of chili seed discrete element based on JKR model[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(9): 85-95.
[19] CHEN X, WANG X, BAI J, et al. Virtual parameter calibration of pod pepper seeds based on discrete element simulation[J]. Heliyon, 2024, 10(11),e31686.
[20] 宁新杰,金诚谦,李庆伦,等.黄淮海地区两种大豆脱出物物理特性测定与分析[J].农机化研究,2021,43(1):163-168,175.
NING X J, JIN C Q, LI Q L, et al. Effects of soil porosity and water content on natural frequency of cultivated soil[J]. Agricultural Mechanization Research, 2021, 43(1): 163-168,175.
[21] 石林榕,马周泰,赵武云等.胡麻籽粒离散元仿真参数标定与排种试验验证[J].农业工程学报,2019,35(20):25-33.
SHI L R, MA Z T, ZHAO W Y, et al. Calibration of simulation parameters offlaxed seeds using discrete element method and verification of seed-metering test[J]. Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE), 2019, 35(20): 25-33.
[22] CHEN X, BAI J, WANG X, et al. Calibration and testing of discrete elemental simulation parameters for pod pepper seeds[J]. Agriculture, 2024, 14(6): 831.
[23] YANG Y, SCHROCK M D. Analysis of grain kernel rebound motion[J]. Transactions of the ASAE, 1994, 37(1):27-31.
[24] 崔涛,刘佳,杨丽,等.基于高速摄像的玉米种子滚动摩擦特性试验与仿真[J].农业工程学报,2013,29(15):34-41.
CUI T, LIU J, YANG L, et al. Experiment and simulation of rolling friction characteristic of corn seed based onhigh-speed photography[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) 2013 29(15): 34-41.
[25] YU S, BU H, DONG W, et al. Calibration of physical characteristic parameters of granular fungal fertilizer based on discrete element method[J]. Processes. 2022, 10(8): 1564.
[26] BU H, YU S, DONG W, et al. Calibration and testing of discrete element simulation parameters for urea particles[J]. Processes. 2022, 10(3): 511.

基金资助

新疆生产建设兵团农业关键核心技术攻关项目(NYHXGG2023AA501)

AI Summary AI Mindmap
PDF (14835KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/