This study evaluates and optimizes the comprehensive property of desulfurization gypsum-based composites(DGCs).The water-gypsum ratio(A),ratio of dihydrate to hemihydrate desulfurization gypsum(B),and dosage of silica...This study evaluates and optimizes the comprehensive property of desulfurization gypsum-based composites(DGCs).The water-gypsum ratio(A),ratio of dihydrate to hemihydrate desulfurization gypsum(B),and dosage of silica fume(C)were selected as multifactorial factors to design the three-level response surface methodology(RSM)experiments.Additionally,X-ray powder diffraction and scanning electron microscope(SEM)were used.The results indicate that the interactions of factor AC,BC and AB have the most significant effect towards the mechanical performances,thermal insulation as well as water resistance of DGCs,respectively.The water-gypsum ratio has the greatest influence on the overall performance of DGCs.In addition,the relative errors between the RSM test values and the model predictions do not exceed 5%,indicating that the RSM optimization models are highly accurate and well-fitted.展开更多
为改善440C不锈钢航空精密液压滑阀零件的加工质量和效率,开展了基于响应曲面法(response surface methodology,RSM)和多目标灰狼优化算法(multi-objective grey wolf optimizer,MOGWO)的磨削工艺参数优化研究。利用响应曲面法分别建立...为改善440C不锈钢航空精密液压滑阀零件的加工质量和效率,开展了基于响应曲面法(response surface methodology,RSM)和多目标灰狼优化算法(multi-objective grey wolf optimizer,MOGWO)的磨削工艺参数优化研究。利用响应曲面法分别建立了表面粗糙度和圆柱度的回归模型;通过方差分析和响应曲面图分析,明确了磨削参数对试件表面粗糙度和圆柱度的交互影响;综合考虑加工质量和效率,采用MOGWO算法获得了多目标磨削工艺参数优化的Pareto解集,并结合层次分析法(analytic hierarchy process,AHP)和优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS)得到了决策解。结果表明,在保证加工质量的前提下,材料去除率提升约20%,具有较高的工程应用价值。展开更多
为有效求解边坡可靠度,采用拉丁超立方(LHS)抽样提出了基于响应面法(RSM)数据表的边坡可靠度计算模型。考虑影响边坡稳定性的主要强度参数c,φ的不确定性,采用LHS抽样构建RSM随机样本点,借助岩土工程极限平衡的Slide程序获取样本响应值...为有效求解边坡可靠度,采用拉丁超立方(LHS)抽样提出了基于响应面法(RSM)数据表的边坡可靠度计算模型。考虑影响边坡稳定性的主要强度参数c,φ的不确定性,采用LHS抽样构建RSM随机样本点,借助岩土工程极限平衡的Slide程序获取样本响应值;通过将数据表法与RSM结合求解边坡可靠指标及失效概率。以Monte Carlo法计算结果作为可靠性分析的基准解,并与基本2层土坡模型和托巴110 k V施工变电站边坡计算结果进行对比分析,结果表明此方法不仅精度满足要求,且计算量较小、效率高,对实际工程边坡可靠度分析具有一定指导意义。展开更多
用RSM法以MRS培养基为基础对副干酪乳杆菌HD1.7的液体培养基进行优化。首先采用Plackett-Burman试验设计筛选显著因子,确定了影响细菌素产生的主要成分:牛肉膏、葡萄糖、酵母粉;运用最陡爬坡试验逼近最大细菌素产生区域;利用RSM法对培...用RSM法以MRS培养基为基础对副干酪乳杆菌HD1.7的液体培养基进行优化。首先采用Plackett-Burman试验设计筛选显著因子,确定了影响细菌素产生的主要成分:牛肉膏、葡萄糖、酵母粉;运用最陡爬坡试验逼近最大细菌素产生区域;利用RSM法对培养基进行优化。试验结果表明培养基最佳配方为酵母粉0.26%、牛肉膏0.88%、蛋白胨1.5%、葡萄糖2.45%、Mg-SO40.06%、K2HPO40.2%、吐温80 0.1%、MnSO40.005%、NaC l 0%。展开更多
基金Funded by the National Natural Science Foundation of China(Nos.52168027 and 51968009)the Guizhou Provincal Science and Technology Project(Nos.[2020]1Y244 and[2022]027)。
文摘This study evaluates and optimizes the comprehensive property of desulfurization gypsum-based composites(DGCs).The water-gypsum ratio(A),ratio of dihydrate to hemihydrate desulfurization gypsum(B),and dosage of silica fume(C)were selected as multifactorial factors to design the three-level response surface methodology(RSM)experiments.Additionally,X-ray powder diffraction and scanning electron microscope(SEM)were used.The results indicate that the interactions of factor AC,BC and AB have the most significant effect towards the mechanical performances,thermal insulation as well as water resistance of DGCs,respectively.The water-gypsum ratio has the greatest influence on the overall performance of DGCs.In addition,the relative errors between the RSM test values and the model predictions do not exceed 5%,indicating that the RSM optimization models are highly accurate and well-fitted.
文摘为改善440C不锈钢航空精密液压滑阀零件的加工质量和效率,开展了基于响应曲面法(response surface methodology,RSM)和多目标灰狼优化算法(multi-objective grey wolf optimizer,MOGWO)的磨削工艺参数优化研究。利用响应曲面法分别建立了表面粗糙度和圆柱度的回归模型;通过方差分析和响应曲面图分析,明确了磨削参数对试件表面粗糙度和圆柱度的交互影响;综合考虑加工质量和效率,采用MOGWO算法获得了多目标磨削工艺参数优化的Pareto解集,并结合层次分析法(analytic hierarchy process,AHP)和优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS)得到了决策解。结果表明,在保证加工质量的前提下,材料去除率提升约20%,具有较高的工程应用价值。
文摘为有效求解边坡可靠度,采用拉丁超立方(LHS)抽样提出了基于响应面法(RSM)数据表的边坡可靠度计算模型。考虑影响边坡稳定性的主要强度参数c,φ的不确定性,采用LHS抽样构建RSM随机样本点,借助岩土工程极限平衡的Slide程序获取样本响应值;通过将数据表法与RSM结合求解边坡可靠指标及失效概率。以Monte Carlo法计算结果作为可靠性分析的基准解,并与基本2层土坡模型和托巴110 k V施工变电站边坡计算结果进行对比分析,结果表明此方法不仅精度满足要求,且计算量较小、效率高,对实际工程边坡可靠度分析具有一定指导意义。
文摘用RSM法以MRS培养基为基础对副干酪乳杆菌HD1.7的液体培养基进行优化。首先采用Plackett-Burman试验设计筛选显著因子,确定了影响细菌素产生的主要成分:牛肉膏、葡萄糖、酵母粉;运用最陡爬坡试验逼近最大细菌素产生区域;利用RSM法对培养基进行优化。试验结果表明培养基最佳配方为酵母粉0.26%、牛肉膏0.88%、蛋白胨1.5%、葡萄糖2.45%、Mg-SO40.06%、K2HPO40.2%、吐温80 0.1%、MnSO40.005%、NaC l 0%。
