Optimization of rheological parameter for micro-bubble drilling fluids by multiple regression experimental design

In order to optimize plastic viscosity of 18 mPa·s circulating micro-bubble drilling fluid formula,orthogonal and uniform experimental design methods were applied,and the plastic viscosities of 36 and 24 groups of agent were tested,respectively.It is found that these two experimental design methods show drawbacks,that is,the amount of agent is difficult to determine,and the results are not fully optimized.Therefore,multiple regression experimental method was used to design experimental formula.By randomly selecting arbitrary agent with the amount within the recommended range,17 groups of drilling fluid formula were designed,and the plastic viscosity of each experiment formula was measured.Set plastic viscosity as the objective function,through multiple regressions,then quadratic regression model is obtained,whose correlation coefficient meets the requirement.Set target values of plastic viscosity to be 18,20 and 22 mPa·s,respectively,with the trial method,5 drilling fluid formulas are obtained with accuracy of 0.000 3,0.000 1 and 0.000 3.Arbitrarily select target value of each of the two groups under the formula for experimental verification of drilling fluid,then the measurement errors between theoretical and tested plastic viscosity are less than 5%,confirming that regression model can be applied to optimizing the circulating of plastic-foam drilling fluid viscosity.In accordance with the precision of different formulations of drilling fluid for other constraints,the methods result in the optimization of the circulating micro-bubble drilling fluid parameters.

Modeling Approach and Analysis of the Structural Parameters of an Inductively Coupled Plasma Etcher Based on a Regression Orthogonal Design

The geometry of an inductively coupled plasma （ICP） etcher is usually considered to be an important factor for determining both plasma and process uniformity over a large wafer. During the past few decades, these parameters were determined by the ＂trial and error＂ method, resulting in wastes of time and funds. In this paper, a new approach of regression orthogonal design with plasma simulation experiments is proposed to investigate the sensitivity of the structural parameters on the uniformity of plasma characteristics. The tool for simulating plasma is CFD-ACE＋, which is commercial multi-physical modeling software that has been proven to be accurate for plasma simulation. The simulated experimental results are analyzed to get a regression equation on three structural parameters. Through this equation, engineers can compute the uniformity of the electron number density rapidly without modeling by CFD-ACE＋. An optimization performed at the end produces good results.

Orthogonal genetic algorithm for solving quadratic bilevel programming problems

A quadratic bilevel programming problem is transformed into a single level complementarity slackness problem by applying Karush-Kuhn-Tucker（KKT） conditions.To cope with the complementarity constraints,a binary encoding scheme is adopted for KKT multipliers,and then the complementarity slackness problem is simplified to successive quadratic programming problems,which can be solved by many algorithms available.Based on 0-1 binary encoding,an orthogonal genetic algorithm,in which the orthogonal experimental design with both two-level orthogonal array and factor analysis is used as crossover operator,is proposed.Numerical experiments on 10 benchmark examples show that the orthogonal genetic algorithm can find global optimal solutions of quadratic bilevel programming problems with high accuracy in a small number of iterations.

Mathematical model for abrasive suspension jet cutting based on orthogonal test design

This paper describes the application of orthogonal test design coupled with non-linear regression analysis to optimize abrasive suspension jet （AS J） cutting process and construct its cutting model. Orthogonal test design is applied to cutting stainless steel. Through range analysis on experiment results, the optimal process conditions for the cutting depth and the kerr ratio of the bottom width to the top width can be determined. In addition, the analysis of ranges and variances are all employed to identify various factors： traverse rate, working pressure, nozzle diameter, standoff distance which denote the importance order of the cutting parameters affecting cutting depth and the kerf ratio of the bottom width to the top width. ~rthermore, non-linear regression analysis is used to establish the mathematical models of the cutting parameters based on the cutting depth and the kerr ratio. Finally, the verification experiments of cutting parameters＇ effect on cutting performance, which show that optimized cutting parameters and cutting model can significantly improve the prediction of the cutting ability and quality of ASJ.

不同缺陷类型双层石墨烯旋转摩擦特性

采用分子动力学模拟方法,构建双层石墨烯旋转摩擦的原子模型,研究缺陷类型、浓度、尺寸效应、石墨烯堆叠方式等因素对其层间旋转摩擦特性的影响,并探讨应变工程的减摩效应.实验结果表明,缺陷类型和堆叠方式对石墨烯旋转摩擦特性的影响较为显著,缺陷类型的影响程度最高.当对底层石墨烯引入拉伸应变后,其旋转摩擦阻力发生衰减,且单空位缺陷与无缺陷模型的力矩递减趋势最为相似.对比研究底层石墨烯的压缩应变,发现其在一定范围内使得层间摩擦增大.本研究有助于缺陷石墨烯层间旋转摩擦特性理论的进一步完善.

基于二次回归正交旋转组合的原油稳定流程能耗优化研究

为降低联合站内原油稳定流程的能耗水平,基于工艺模拟软件建立了汽提负压闪蒸原油稳定流程,以工艺能耗为指标,以稳定塔压力、稳定塔温度和汽提气流量为变量,通过二次回归正交旋转组合实验建立了回归方程。结果表明,稳定塔压力与工艺能耗呈负相关,稳定塔温度、汽提气流量与工艺能耗呈正相关;回归方程的拟合效果较好,当稳定塔压力为70 kPa,稳定塔温度为55℃,日汽提气流量为350 m^(3)时,工艺能耗最低;优化前后的工艺能耗从2266 kW降低为1538 kW,降幅32.1%。

深沟球轴承的二次回归通用旋转组合设计

以Romax软件为平台,针对型号为6212的深沟球轴承,采取二次回归通用旋转组合设计方法建立轴承的回归模型;利用回归方程和加权优化算法,对深沟球轴承的双目标参数优化设计,并将优化的结果进行了仿真验证,对比分析发现,寿命和径向刚度的仿真值和预测值比较接近;轴承的寿命和径向刚度随着内、外圈沟曲率系数的增大而降低;内、外圈沟曲率系数fi和fe的交互影响对轴承的径向刚度影响总体大于对寿命的影响,表明优化模型和计算方法正确有效,可用于深沟球轴承寿命和径向刚度的分析和预测。

密度与肥料对泽泻产量的影响

[目的]探究密度和肥料的不同配比泽泻产量及其互作影响,筛选出科学的密肥水平,为泽泻规范化栽培提供理论依据和实践经验。[方法]以川泽泻为试验材料,采用4因素5水平二次正交旋转组合设计进行大田试验,建立密度、氮肥、磷肥、钾肥与泽泻产量的效应函数。[结果]建立的二次回归方程R^(2)=0.9097,所建立的数学模型拟合程度较为可靠。各因素对泽泻产量的影响为密度>氮肥>钾肥>磷肥,其中密度和肥料的互作效应达显著水平。根据统计频数选优,得到泽泻目标产量大于3300 kg/hm^(2)的最优农艺措施为密度14.69万~15.08万株/hm^(2)、氮肥219.10~234.50 kg/hm^(2)、磷肥124.80~150.00 kg/hm^(2)、钾肥152.55~179.55 kg/hm^(2)。[结论]合理的密度和肥料施用量均能有效提高泽泻产量,以密度增产效果最佳,氮肥次之,钾肥和磷肥的增产效果较小,在保障密度和氮肥的基础上,配合合理的磷钾肥能达到泽泻高产目标。

基于SVR的PFC微观参数辅助标定方法研究

PFC数值模拟所需的微观参数通常通过人工试算的方式进行标定,该方法受标定人员经验的影响,效率较低,难以快速处理大量岩石试件。以平行黏结模型为例,建立微观参数正交试验表并进行数值模拟,以此为样本分别使用支持向量回归机(SVR)和BP神经网络模型进行训练,对室内测得的宏观参数进行预测,得到的微观参数进行数值模拟分析预测效果,若效果不佳则将模拟数据加入样本继续训练直至获得理想的结果。研究表明:利用数值模拟和机器学习相结合的正反演方法,可以高效标定微观参数,其中BP神经网络模型需要试算7次,而支持向量机模型仅需试算3次,标定效率更高。因此,基于正反演结合的SVR微观参数辅助标定方法不仅效率高、可重复性强、不受标定人员经验影响,而且适用于批量试件的标定工作。

A CASE STUDY IN THE APPLICATION OF SUPERSATURATED DESIGNS TO COMPUTER EXPERIMENTS

Supersaturated design is essentially a fractional factorial design in which the number of potential effects is greater than the number of runs. In this article, the supersaturated design is applied to a computer experiment through an example of steady current circuit model problem. A uniform mixed-level supersaturated design and the centered quadratic regression model are used. This example shows that supersaturated design and quadratic regression modeling method are very effective for screening effects and building the predictor. They are not only useful in computer experiments but also in industrial and other scientific experiments.

Gradient Ultra-fine Grained Surface Layer in 6063 Aluminum Alloy Obtained by Means of Rotational Accelerated Shot Peening

Gradient ultra-fine grained surface layer in 6063 aluminum alloy was obtained by means of a novel surface self-nanocrystallization technique,namely rotational accelerated shot peening(RASP)treatment.The average grain sizes along the vertical section vary from hundreds of nanometers in the top surface to micrometers in the matrix.By using orthogonal experimental design to compare roughness values and hardness values,we synthesized the processing parameters to obtain sample of smaller roughness values and higher hardness.

Design-Expert预测大采高工作面瓦斯涌出量试验

随着矿井采深的加大,煤层赋存及采煤工作面地质条件愈来愈复杂,导致影响瓦斯涌出量的因素众多。为更有针对性、更准确地预测综采工作面瓦斯涌出量,将试验设计理论引入瓦斯涌出量预测中。结合现场实测瓦斯浓度数据,分析影响某矿18205大采高工作面瓦斯涌出量的4个因素,采用Design-Expert数值软件,以Central Composite Design构建出5个水平4个因素的试验设计,获得了某矿18205大采高工作面瓦斯涌出量影响因素的二次回归模型,同时进行瓦斯涌出量预测。研究结果表明:预测相对误差在4.14%~10.57%,基于试验设计思想的瓦斯涌出量预测更加具有针对性,可以满足现场的实践应用。

微径球头铣刀微铣削有限元仿真及微铣削力预测

变螺旋角螺旋线的切削刃使得微径球头铣刀微铣削过程复杂且实验研究难度较大,对此,提出有限元建模仿真与多元线性回归分析相结合的微铣削过程量化分析和微铣削力预测方法。结合球面螺旋线模型和实测建立微径球头铣刀的三维模型,以此为基础实现全槽微铣削的有限元仿真,并通过实验验证仿真的正确性。针对主轴转速、进给速度与铣削深度三因素,利用正交实验设计方法确定三因素三水平的微铣削仿真方案,得到不同工艺参数组合下的微铣削力数据,通过多元线性回归分析建立预测微铣削力峰值的经验模型,其拟合优度分析表明预测模型具有较好的准确度和可靠性,可用于工艺参数对微铣削力峰值的影响规律分析,优化控制微铣削过程。

杉木组培苗增殖光环境优化

为获得杉木组培苗增殖的最佳光照条件,采用3因素5水平的二次正交旋转组合设计对其增殖系数、生长量和光合特性参量等进行研究。结果表明:光质对杉木组培苗不定芽增殖系数和叶片光系统Ⅱ(PSⅡ)的最大光化学效率(F_(v)/F_(m))的作用大小均为蓝光>红光>绿光,蓝光和红光对增殖系数的影响显著(P<0.05),蓝光对F_(v)/F_(m)的影响显著(P<0.05);增殖系数随各光质的光强增大而增大,F_(v)/F_(m)随蓝光和红光光强增大而增大、随绿光光强增大而减小;红光和蓝光、红光和绿光的交互作用分别对增殖系数和F_(v)/F_(m)的影响达极显著(P<0.01)和显著(P<0.05)水平;增殖的最优光质光强组合为开放科学标识码(OSID码)红光20.0μmol·m^(-2)·s^(-1)、绿光2.1μmol·m^(-2)·s^(-1)、蓝光30.0μmol·m^(-2)·s^(-1),可获得最大增殖系数(3.57);Fv/Fm的最优光质光强组合为红光20.0μmol·m^(-2)·s^(-1)、绿光2.0μmol·m^(-2)·s^(-1)、蓝光23.8μmol·m^(-2)·s^(-1),可获得最大Fv/Fm值(0.78)。光质主效应对鲜重的作用大小为绿光>红光>蓝光,红光对鲜重的影响显著(P<0.05),鲜重的最优光质光强组合为红光28.0μmol·m^(-2)·s^(-1)、绿光2.0μmol·m^(-2)·s^(-1)、蓝光30.0μmol·m^(-2)·s^(-1),可获得最大鲜重(0.21 g)。此外,各光质光强组合对株高和叶面积的影响差异极显著(P<0.01),但对叶绿素(a+b)含量的影响差异不显著。红光有利于提高杉木组培苗生物量,蓝光有利于提高杉木组培苗的光合能力,红光和蓝光有利于提高杉木组培苗不定芽的增殖系数;光质对杉木组培苗不定芽的增殖系数和F_(v)/F_(m)的影响具有一定的相关性,暗示光质通过调控光合作用进而调控杉木不定芽的增殖能力。

基于二次回归正交旋转探究不同植物生长调节剂对3种葡萄砧木茎段快繁的影响

【目的】通过对5BB、1103P、SO4葡萄砧木在初代培养、继代培养、生根培养过程中不同培养基和植物生长调节剂的筛选,建立高效茎段快繁体系。【方法】以3种葡萄砧木的单芽茎段为材料,应用二次回归正交旋转组合设计的试验方案进行增殖培养,探究不同的植物生长调节剂对繁殖系数的影响。【结果】适用于3种葡萄砧木的初代培养的培养基均为MS培养基,并添加2.00 mg·L^(-1)6-BA、0.20 mg·L^(-1)IBA、0.20 mg·L^(-1)GA_(3),萌发率均可达100%。影响5BB和1103P葡萄砧木增殖培养的3种植物生长调节剂的主次顺序为IBA>GA_(3)>6-BA,最适宜的增殖培养配方为MS+2.00 mg·L^(-1)6-BA+0.25 mg·L^(-1)IBA+0.50 mg·L^(-1)GA_(3);影响SO4葡萄砧木增殖培养的3种植物生长调节剂的主次顺序为6-BA>GA_(3)>IBA,最适宜的增殖培养配方为MS+1.52 mg·L^(-1)6-BA+0.25 mg·L^(-1)IBA+0.36 mg·L^(-1)GA_(3)。最适宜5BB、SO4葡萄砧木的生根培养配方为1/2MS+1.50 mg·L^(-1)IBA+0.10 g·L^(-1)Ac,并进行7 d暗培养;最适宜1103P砧木的生根培养配方为1/2MS+1.00 mg·L^(-1)IBA+0.10 g·L^(-1)Ac,并进行7 d暗培养。【结论】最适宜3种葡萄砧木初代培养的培养基均为MS培养基。最适宜5BB和1103P葡萄砧木的6-BA质量浓度为2.00 mg·L^(-1)、IBA质量浓度为0.25 mg·L^(-1)、GA_(3)质量浓度为0.50 mg·L^(-1);最适宜SO4葡萄砧木的6-BA质量浓度为1.52 mg·L^(-1)、IBA质量浓度为0.25 mg·L^(-1)、GA_(3)质量浓度为0.36 mg·L^(-1)。最适宜3种葡萄砧木生根培养的暗培养时间均为7 d,Ac质量浓度均为0.10 g·L^(-1),最适宜5BB、SO4葡萄砧木生根培养的IBA质量浓度为1.50 mg·L^(-1),5BB葡萄砧木的生根系数可达2.60,SO4葡萄砧木的生根系数可达1.47;最适宜1103P葡萄砧木生根培养的IBA质量浓度为1.00 mg·L^(-1),生根系数可达2.30。

金属材料铣削力及振幅预测模型

为了实现对加工过程中铣削力动态变化的预测,课题组构建了金属材料铣削力及振幅的预测模型。首先通过仿真与试验相结合的方法,探究不同材料在不同主轴转速和轴向切深下的铣削力特性;在确认仿真模型准确的基础上进行铣削力的正交仿真,采用回归分析的方法构建平均铣削力及振幅的预测模型。结果表明:不同材料的平均铣削力受主轴转速和轴向切深的影响不同,但铣削力的振幅大小与主轴转速和轴向切深均呈正相关。课题组所提出的铣削力及振幅预测模型可以为铣削参数的合理选择提供参考。

基于挤压模拟试验的苜蓿草颗粒成型工艺参数优化

为了确定最佳的苜蓿草颗粒产品制粒成型工艺,以苜蓿草粉为制粒物料,通过环模制粒过程的模拟试验,利用二次回归正交旋转试验设计,探讨了制粒密度与挤出力、物料含水率、草粉粒度的关系,建立了各因素与制粒密度之间的数学模型。试验数据分析显示:建立的回归方程显著;3个因子对制粒密度影响大小顺序为挤出力、含水率、草粉粒度;通过方程模拟选优得出模拟试验条件下的最优参数组合为:挤出力5.47kN、含水率16.96%、草粉粒度6.34mm,即制粒密度为最大值1.241g/cm3。该研究可为提高草颗粒及其它颗粒物料产品的质量提供指导。

化肥与有机肥配施对川芎产量的影响

目的:研究不同氮、磷、钾及有机肥施肥量对川芎产量的影响,为川芎规范化栽培技术的建立提供理论依据。方法:以彭山种植的川芎为材料,采用四因素五水平二次正交旋转组合设计,进行田间肥料试验,建立施肥与川芎产量函数模型。结果:通过模型解析,氮、磷、钾及有机肥对川芎产量有显著影响。肥料对川芎产量贡献率大小依次为钾肥>有机肥>氮肥>磷肥;氮肥和磷肥、氮肥和有机肥、钾肥和有机肥对川芎产量的互作效应达到了显著影响,中高水平的氮肥磷肥、氮肥有机肥、钾肥有机肥有利于川芎产量的提高。川芎高产的最优施肥方案为氮肥148.20~172.28 kg/hm^2,磷肥511.92~599.40 kg/hm^2,钾肥249.70~282.37 kg/hm^2,有机肥940.00~1 104.00kg/hm^2。结论:氮磷钾及有机肥配施会影响川芎产量,钾肥和有机肥会显著提高川芎的产量,建议适量多施钾肥和有机肥,适当增施氮肥。

爆仗竹组培快繁6-BA与NAA组合浓度配比优化分析

以爆仗竹顶芽与带腋芽的茎段为外植体,采用二次回归正交设计方法研究了爆仗竹组织培养快速繁殖中不定芽增殖系数与继代培养基中6BA和NAA组合及其浓度配比之间的关系。通过对所建模型的解析得出,6BA1.27mgL、NAA0.36mgL时,不定芽增殖系数最高,达4.6。不定芽增殖系数大于4的6BA、NAA浓度的95%置信区间分别为1.14～2.11mgL和0.04～0.53mgL。

番茄综合营养品质指标构建及其对水肥供应的响应

为构建番茄综合营养品质指标,分析其对水肥供应的响应,该文以灌水量和氮、磷、钾肥用量为试验因素,按照四元二次正交旋转组合设计,进行番茄盆栽试验,监测番茄可溶性固形物、可溶性糖、可滴定酸、糖酸比、番茄红素和维生素C 6项单一品质指标,根据主观层次分析法与客观熵权法和基于博弈论的组合赋权法,确定番茄单一营养品质评价指标权重,次序为:番茄红素>糖酸比>维生素C>可溶性糖>可溶性固形物>可滴定酸;通过近似理想解法,构建番茄果实综合营养品质评价指标。在此基础上,通过回归分析建立番茄综合营养品质与水肥因子的数学模型,分析其对水肥因子的响应关系。结果表明,各水肥因子对番茄综合营养品质的主效应表现为:施磷量>施氮量>灌水量>施钾量。当其他因素为中间水平时,番茄营养品质随灌水量或施氮量的增加呈开口向下的抛物线型变化,随磷肥用量的增加线性增加,随施钾量的增加呈开口向上的抛物线型变化。交互作用表现为,灌水量与施氮量、磷与钾肥用量之间存在显著交互作用。表明灌水量、氮肥用量过高不利于番茄综合营养品质的提高,合理增施磷肥和钾肥可有效提高番茄营养品质。