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模塊化自動升降式深海網(wǎng)箱設計與仿真
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國家重點研發(fā)計劃項目(2019YFD0900800)、現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術體系專項資金項目(CARS-50)和威海市科技發(fā)展計劃項目(2018NS05)


Design and Simulation of Modular Automatic Lifting Deep-sea Cage
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    摘要:

    為了提高深海養(yǎng)殖網(wǎng)箱抵抗強風暴襲擊的能力,同時解決在海區(qū)缺少大型工程安裝設備的情況下,完成大型深海網(wǎng)箱的高效組裝及后期部件便捷更換等問題,設計了一種模塊化自動升降式智能化深海網(wǎng)箱。以1.5×104m3型網(wǎng)箱為研究對象,通過理論論證、實體建模和仿真計算,系統(tǒng)研究了深海網(wǎng)箱在風暴海況時的升降狀態(tài)、主要組件的受力及升降過程中平衡技術的實現(xiàn)。仿真分析表明,在遭遇風暴不升降時,網(wǎng)箱最大應力為2.58×108N/m2,超出了鋼材的屈服強度,在網(wǎng)箱降至海面以下10m時,應力僅為在海面時的13%,大幅降低了網(wǎng)箱的受力變形;通過多層多節(jié)智能控制能夠?qū)崿F(xiàn)網(wǎng)箱的平衡升降。該網(wǎng)箱克服了傳統(tǒng)網(wǎng)箱普遍存在的抗風浪能力差、制造運輸不方便、網(wǎng)箱容積受限、使用穩(wěn)定性不足以及智能化程度低等問題,在制造成本、運輸、組裝、維修和使用等方面滿足深海規(guī)模化養(yǎng)殖的需求,為復雜海況、深海大型網(wǎng)箱的設計提供了設計依據(jù),為實現(xiàn)規(guī)模化深海養(yǎng)殖工程提供了合理的設計方案。

    Abstract:

    A modularized automatic lifting type intelligent deep-sea cage was presented. The objective was to improve the deep-sea cages cultivation volume and its ability to resist strong storm attacks. The cage was facilitated a high-efficiency assembly process and a convenient replacement of old components, in particular in the absence of large-scale installation equipment. A 1.5×104m3 cage was taken as a research example. Based on theoretical prediction, modeling and simulation, the lifting states of cages in sea storm conditions were compared, the force and fluid analysis of the main components were carried out, and the cage’s balancing during the lifting process was realized. The simulation result showed that when the cage kept its normal position near the water surface during sea storm, the highest pressure (from the storm) on the cage would be up to 2.58×108N/m2, which exceeded the yield strength of the cage’s steel, leading to a cage deformation and even damage. On the other hand, when the cage was dropped to 10m below the sea surface, the pressure would be decreased to 13% of its peak value. The lifting method can greatly reduce the forces on the cages and their deformation. The balanced lifting of the cage can be realized through multi-layer and multi-section intelligent control. This cage overcame several problems of traditional counterparts, including poor resistance to wind and wave, inconvenient production and transportation, limited cage volumes, insufficient stability in use, and low degree of intelligence. Therefore, it can meet the needs of large-scale deep-sea aquaculture in terms of production cost, transportation, assembly, maintenance and other aspects. The research result provided a theoretical basis for the design of different demand, high-sea conditions, and large-scale deep-water cages, leading to a reasonable solution for large-scale deep-sea aquaculture projects, and showing certain values in engineering applications.

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譚永明,樓上游,袁世鵬,楚樹坡,王志勇,諶志新.模塊化自動升降式深海網(wǎng)箱設計與仿真[J].農(nóng)業(yè)機械學報,2020,51(11):196-203. TAN Yongming, LOU Shangyou, YUAN Shipeng, CHU Shupo, WANG Zhiyong, CHEN Zhixin. Design and Simulation of Modular Automatic Lifting Deep-sea Cage[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(11):196-203.

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  • 收稿日期:2020-06-27
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  • 在線發(fā)布日期: 2020-11-10
  • 出版日期: 2020-11-25
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