Screening and impurity removal device to improve the accuracy of moisture content detection device for rice
Keywords:
combine harvester, parameter optimization, rice, motion characteristics, discrete element modelAbstract
An online detection device that used the capacitance method to detect the moisture content of rice in a combine harvester was designed and found a low detection accuracy because of the high impurity content of the samples. To solve this problem, a screening and impurity removal device was designed in this study, and the structural parameter range of the screw conveyor was the focus of the design. To determine the best structural parameters and operating parameters of the device, models of rice grains and short stems were established by the discrete element method. The Discrete Element Method (DEM) simulation test was carried out according to the Box-Behnken response surface method. When the rotating speed was 300 r/min, the diameter of spiral blade was 146 mm, the pitch was 80 mm, the diameter of rotating shaft was 30.6 mm, and the minimum impurity content was 0.27%. The density distributions and movement characteristics of the rice grains and short stems in the optimized screening and impurity removal device were studied. An experiment was carried out to compare data for the moisture content of rice measured by the online moisture content detection device before and after the installation of the screening and impurity removal device and the results of the 105°C drying method. The results showed that the impurity content of rice ranged from 0.26% to 0.37%, and the maximum effective screening rate was 90.99% after screening. The screening and impurity removal device significantly reduced the error in the moisture content measured by the online detection device, the error range was 0.12%-2.55%. This study provides a method for accurate online detection of moisture content and provides a reference for the design and simulation of related screening devices. Keywords: combine harvester, parameter optimization, rice, motion characteristics, discrete element model DOI: 10.25165/j.ijabe.20221506.7299 Citation: Tang H, Xu C S, Zhao J L, Wang Y J. Screening and impurity removal device to improve the accuracy of moisture content detection device for rice. Int J Agric & Biol Eng, 2022; 15(6): 113–123.References
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[2] Zheng B, Wang H, Shang W, Xie F, Li X, Chen L. Understanding the digestibility and nutritional functions of rice starch subjected to heat-moisture treatment. Journal of Functional Foods, 2018; 45: 165–172.
[3] Jain S, Mishra P K, Mishra J, Thakare V V. Design and analysis of H-shape patch sensor for rice quality detection. Materials Today: Proceedings, 2018; 29: 581–586.
[4] Keiji T, Yasuaki M, Yuta N, Ryota I, Kayo F, Kenji S. Magnetic method for measuring moisture content using diamagnetic characteristics of water. Meas Sci Technol, 2017; 28(1): 014010. doi: 10.1088/1361-6501/28/1/ 014010.
[5] Pathaveerat S, Pruengam P. Low cost measurement of moisture content in long grain paddy. Journal of Stored Products Research, 2020; 89: 101728. doi: 10.1016/j.jspr.2020.101728.
[6] Julrat S, Trabelsi S. In-line microwave reflection measurement technique for determining moisture content of biomass material. Biosyst Eng, 2019; 188: 24–30.
[7] Liu J X, Liu T, Mu G Q, Chen J H. Wavelet based calibration model building of NIR spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying. Chem Eng Sci, 2020; 226: 115867. doi: 10.1016/j.ces.2020.115867.
[8] Vera Zambrano M, Dutta B, Mercer D G, MacLean H L, Touchie M F. Assessment of moisture content measurement methods of dried food products in small-scale operations in developing countries: A review. Trends Food Sci Technol, 2019; 88: 484–96.
[9] Figueiredo Neto A, Cárdenas Olivier N, Rabelo Cordeiro E, Pequeno de Oliveira H. Determination of mango ripening degree by electrical impedance spectroscopy. Comput Electron Agric, 2017; 143: 222–226.
[10] Raja V, Shanmugasundaram S. Development of capacitance based nondestructive ripening indices measurement system for sapota (Manilkara zapota). J Food Process Eng, 2020; 43(3): e13307. doi: 10.1111/jfpe.13307.
[11] Liu D, Wang E, Wang G, Wang P, Wang C, Wang Z. Non-destructive sugar content assessment of multiple cultivars of melons by dielectric properties. J Sci Food Agric, 2021; 101(10): 4308–4314.
[12] Wang R, Wang D, Ren X, Ma H. Nondestructive detection of apple watercore disease based on electric features. Transactions of the CSAE, 2018; 34(5): 129–136. (in Chinese)
[13] Besharati B, Lak A, Ghaffari H, Karimi H, Fattahzadeh M. Development of a model to estimate moisture contents based on physical properties and capacitance of seeds. Sensors Actuators, A Phys, 2021; 318: 112513. doi: 10.1016/j.sna.2020.112513
[14] Wang J W, Tang T Y, Tang H, Xu C S, Zhou W Q, Wang Q. Design and experiment of on-line detection device for capacitive paddy rice moisture content of combine harvester. Transactions of the CSAM, 2021; 52(3): 143–52. (in Chinese)
[15] Mai Z, Li C, Xu F, Fang Z. Design and test of grain moisture online measuring system based on floating ground capacitance. Transactions of the CSAM, 2014; 45(10): 207–213. (in Chinese)
[16] Wan L, Tang H Y, Ma G Y, Che G, Zou D D, Sun W S. Optimization design and experiment on finned double plates rice moisture content measuring device. Transactions of the CSAM, 2021; 52(2): 320–328. (in Chinese)
[17] Zhang B H, Qian C Q, Jiao J K, Ding Z H, Zhang Y, Cui H G, et al. Rice moisture content detection method based on dielectric properties and SPA-SVR algorithm. Transactions of the CSAE, 2019; 35(18): 237–244. (in Chinese)
[18] Liang Z, Xu L, Baerdemaeker J De, Li Y, Saeys W. Optimisation of a multi-duct cleaning device for rice combine harvesters utilising CFD and
experiments. Biosyst Eng, 2020; 190: 25–40.
[19] Jia H L, Deng J Y, Deng Y L, Chen T Y, Wang G, Sun Z J, et al. Contact parameter analysis and calibration in discrete element simulation of rice straw. Int J Agric & Biol Eng, 2021; 14(4): 72–81.
[20] Roessler T, Katterfeld A. DEM parameter calibration of cohesive bulk materials using a simple angle of repose test. Particuology, 2019; 45: 105–115.
[21] Zhang S, Tekeste M Z, Li Y, Gaul A, Zhu D, Liao J. Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow. Biosyst Eng, 2020; 194: 196–212.
[22] Wu X J, Tang N, Liu B, Long Z L. A novel high precise laser 3D profile scanning method with flexible calibration. Opt Lasers Eng, 2020; 132: 105938. doi: 10.1016/j.optlaseng.2019.105938
[23] Zhou L, Yu J Q, Wang Y, Yan D X, Yu Y J. A study on the modelling method of maize-seed particles based on the discrete element method. Powder Technol, 2020; 374: 353–376.
[24] Jiang Z, Du J, Rieck C, Bück A, Tsotsas E. PTV experiments and DEM simulations of the coefficient of restitution for irregular particles impacting on horizontal substrates. Powder Technol, 2020; 360: 352–365.
[25] Wang Q R, Mao H P, Li Q L. Modelling and simulation of the grain threshing process based on the discrete element method. Comput Electron Agric, 2020; 178: 105790. doi: 10.1016/j.compag.2020.105790.
[26] Zhang R F, Jiao W, Zhou J L, Qi B, Liu H, Xia Q Q. Parameter calibration and experiment of rice seeds discrete element model with different filling particle radius. Transactions of the CSAM, 2020; 51(S1): 227–235. (in Chinese)
[27] Xu L, Li Y, Sun P, Pang J. Vibration measurement and analysis of tracked-whole feeding rice combine harvester. Transactions of the CSAE, 2014. (in Chinese)
[28] Wu W F, Chen J Y, Cheng R M, Jin Y, Wei X S, Xiao B L, et al. Coupling relationship between content of unsaturated fatty acid and drying system of corn grain after variable temperature and humidity drying. Transactions of the CSAE, 2019; 35(16): 328–333. (in Chinese)
[29] Liu Y, Han Y L, Jia F G, Yao L N, Wang H, Shi Y F. Numerical simulation on stirring motion and mixing characteristics of ellipsoid particles. Acta Phys Sin, 2015; 64(11): 114501. doi: 10.7498/ aps.64.114501.
[30] Wang J W, Xu C S, Xu Y N, Wang Z M, Qi X, Wang J F, et al. Influencing factors analysis and simulation calibration of restitution coefficient of rice grain. Appl Sci, 2021; 11(13): 5884. doi: 10.3390/ app11135884.
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Published
2022-12-27
How to Cite
Tang, H., Xu, C., Zhao, J., & Wang, Y. (2022). Screening and impurity removal device to improve the accuracy of moisture content detection device for rice. International Journal of Agricultural and Biological Engineering, 15(6), 113–123. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/7299
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Power and Machinery Systems
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