武照云, 鱼鹏飞, 刘晓霞, 李丽, 阮竞兰. 粮食加工机械装备多目标耦合优化设计技术研究[J]. 河南工业大学学报自然科学版, 2020, 41(3): 78-83. DOI: 10.16433/j.1673-2383.2020.03.013
    引用本文: 武照云, 鱼鹏飞, 刘晓霞, 李丽, 阮竞兰. 粮食加工机械装备多目标耦合优化设计技术研究[J]. 河南工业大学学报自然科学版, 2020, 41(3): 78-83. DOI: 10.16433/j.1673-2383.2020.03.013
    WU Zhaoyun, YU Pengfei, LIU Xiaoxia, LI Li, RUAN Jinglan. Research on multi-objective coupling optimization design technology for grain processing equipment[J]. Journal of Henan University of Technology(Natural Science Edition), 2020, 41(3): 78-83. DOI: 10.16433/j.1673-2383.2020.03.013
    Citation: WU Zhaoyun, YU Pengfei, LIU Xiaoxia, LI Li, RUAN Jinglan. Research on multi-objective coupling optimization design technology for grain processing equipment[J]. Journal of Henan University of Technology(Natural Science Edition), 2020, 41(3): 78-83. DOI: 10.16433/j.1673-2383.2020.03.013

    粮食加工机械装备多目标耦合优化设计技术研究

    Research on multi-objective coupling optimization design technology for grain processing equipment

    • 摘要: 为了解决我国粮机装备可靠性差、故障率高、工艺效果不佳等问题,提出了粮食加工机械装备多目标耦合优化设计技术。针对粮机装备制造行业的现状,分析了面粉加工、大米加工等粮机装备的类型划分与行业特点,构建了粮机装备多目标耦合优化设计技术的体系模型。对粮机装备系列化模型快速生成、结构强度灵敏度分析、结构可靠性灵敏度分析、工艺性能参数灵敏度分析、多目标耦合优化设计方法等关键技术进行了深入研究。基于这些技术的应用,设计并开发了粮机装备数字化设计平台。实际应用案例表明,该技术体系对提高粮机装备的综合性能具有重要意义。

       

      Abstract: In order to solve the problems of poor reliability, high failure rate and poor process effect of grain equipment in China, the multi-objective coupling optimization design technology for grain equipment was put forward in this study. According to the present situation of grain equipment manufacturing industry, the classification and characteristics of grain equipment such as flour processing and rice processing were analyzed. The technical system model of multi-objective coupling optimization design for grain equipment was established. The key technologies were presented in detail, including the rapid generation of grain equipment serialization model, structural strength sensitivity analysis, structural reliability sensitivity analysis, process performance parameter sensitivity analysis and multi-objective coupling optimization design method. Based on the above key technologies, a digital design platform for grain equipment was designed and developed. The practical application case showed that this technology is of great significance to improve the comprehensive performance of grain equipment.

       

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