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基于多重网格控制体方法的皮米磁头气膜压强求解 被引量:4
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作者 阮海林 王玉娟 +1 位作者 段传林 陈云飞 《传感技术学报》 CAS CSCD 北大核心 2006年第05B期2260-2263,共4页
磁头磁盘系统的发展越来越快,在磁头的开发设计阶段,就需要对磁头的飞行姿态作出快速、准确的数值预测.本文提出一种计算效率高的、基于叠加修正策略的多重网格控制体方法,解决轴承数很大和导轨形状复杂的气膜承载问题.运用这种方法求解... 磁头磁盘系统的发展越来越快,在磁头的开发设计阶段,就需要对磁头的飞行姿态作出快速、准确的数值预测.本文提出一种计算效率高的、基于叠加修正策略的多重网格控制体方法,解决轴承数很大和导轨形状复杂的气膜承载问题.运用这种方法求解Pico磁头(30%,1.25mm×1.0mm,飞高7nm)的气膜承载压强,相比较单网格方法,多重网格方法求解性能提高显著. 展开更多
关键词 磁头磁盘系统 ACM(additive CORRECTION multigrid)方法 皮米磁头 气膜承载压强
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Genotype×year interaction of pod and seed mass and stability of Pongamia pinnata families in a semi-arid region
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作者 G.R.Rao B.Sarkar +3 位作者 B.M.K.Raju P.Sathi Reddy A.V.M.Subba Rao Jessie Rebecca 《Journal of Forestry Research》 SCIE CAS CSCD 2020年第4期1333-1346,共14页
Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable,high-yielding families.The trial was conducted in a randomized complete block design ... Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable,high-yielding families.The trial was conducted in a randomized complete block design with three replications.Each family,consisting of nine trees per replication,was planted at a spacing of3 m x 3 m.Yield stability was analyzed using(1)Eberhart and Russel’s regression coefficient(β_i)and deviation from regression(S_d^2),(2)Wrike’s ecovalence(W_i);(3)Shukla stability variance(σ_i^2);and(4)Piepho and Lotito’s stability index(L_i).Families were also analyzed for adaptability and stability using AMMI and GGE biplots graphical methods.The study revealed significant variances due to family and family x year interaction for pod and seed yield.Families performed differently and ranked differently across years.The performance of families was influenced by both genetic factor and environmental conditions in different years.Among families tested,TNMP20,Acc14,TNMP14 and Acc30 were high yielders for pods,and Acc14,Acc30,TNMP6,RAK19 and TNMP14 were high for seed yield.According to the Eberhart and Russell model,Acc30,TNMP14 and TNMP3 were stable across years.In the graphical view of family x year interaction based on AMMI methods,TNMP3,TNMP4 and TNMP14 had greater stability with moderate seed yield,and Acc14 and Acc30 had moderate stability with high seed yield.On the other hand,GGE biplots revealed Acc14,Acc30 and TNMP14 as high yielders with moderate stability.AMMI and GGE biplots were able to capture nonlinear parts of the family x year interaction that were not be captured by the Eberhart and Russel model while also identifying stable families.Based on different methodologies,Acc14,Acc30 and TNMP14 were identified as high yielding and stable families for promoting pongamia cultivation as a biofuel crop for semi-arid regions. 展开更多
关键词 BIOFUEL Pongamia Genetic diversity STABILITY AMMI (additive main effects multiplicative interaction) GGE biplots Multi-year trial SVD(singular value decomposition)
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