锻压技术

基于响应面与NSGA-Ⅱ的香菇菌渣成型参数优化

英文标题：Optimization on molding parameters for mushroom residue based on response surface and NSGA-Ⅱ

分类号：TK6

出版年,卷(期):页码：2025,50(7):153-159

摘要：

为解决香菇菌渣燃料颗粒生产过程中出现的成型质量差和成型能耗高的问题。采用响应面法分析香菇菌渣颗粒成型工艺参数对成型颗粒稳定密度、抗跌落破损率和比能耗的影响规律，建立其输入与输出的多目标数学模型。同时，以稳定密度和抗跌落破损率最大、比能耗最小为目标，采用非支配排序遗传算法（NSGA-Ⅱ）对成型工艺参数进行多目标优化，并通过实验验证优化结果的准确性。结果表明：当含水率为14%、压制速度为103 mm·min-1、保压时间为22 s时，成型颗粒稳定密度可达到1.114 g·cm-3，抗跌落破损率和比能耗分别为98.80%和4.06 J·g-1，且预测值与实验值相对误差较小，表明了优化结果的可靠性。

In order to solve the problems of poor molding quality and high molding energy consumption in the production process of mushroom residue fuel pellets, the influence laws of the molding process parameters of mushroom residue pellet on the stable density, drop resistance breakage rate and specific energy consumption of the formed pellets were analyzed by the response surface method, the multi-objective mathematical model of its input and output was established. Then, at the same time, with the goal of maximizing the stable density and drop resistance breakage rate and minimizing the specific energy consumption, the multi-objective optimization on the molding process parameters was conducted by the non-dominated sorting genetic algorithm (NSGA-II), the accuracy of the optimization results was verified by experiments. The results show that when the moisture content is 14%, the pressing speed is 103 mm·min-1 and the holding time is 22 s, the stable density of the formed pellets reaches 1.114 g·cm-3, the drop resistance breakage rate and the specific energy consumption are 98.80% and 4.06 J·g-1, respectively. The experimental verification shows that the relative error between the predicted and experimental values is small, indicating the reliability of the optimization results.

基金项目：

国家自然科学基金资助项目(52366018);内蒙古自治区鄂尔多斯科技局项目(YF20232302);高校基本科研业务费项目(2024RCTD006);内蒙古自然科学基金资助项目(2025MS05072)

作者简介：李震（1973-），男，博士，教授 E-mail：lizhen_730106@126.com 通信作者：乔志忠（1995-），男，硕士研究生 E-mail：1453151249@qq.com

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