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Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs
Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM
《机械工程前沿(英文)》 2012年 第7卷 第3期 页码 279-287 doi: 10.1007/s11465-012-0329-0
Through a pin-on-disc type wear setup, the dry sliding wear behavior of SiC-reinforced aluminum composites produced using the molten metal mixing method was investigated in this paper. Dry sliding wear tests were carried on SiC-reinforced metal matrix composites (MMCs) and its matrix alloy sliding against a steel counter face. Different contact stresses, reinforcement percentages, sliding distances, and sliding velocities were selected as the control variables, and the responses were selected as the wear volume loss (WVL) and coefficient of friction (COF) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Initially, the optimization of the dry sliding performance of the SiC-reinforced MMCs was performed using grey relational analysis (GRA). Based on the GRA, the optimum level parameters for overall grey relational grade in terms of WVL and COF were identified. Analysis of variance was performed to determine the effect of individual factors on the overall grey relational grade. The results indicated that the sliding velocity was the most effective factor among the control parameters on dry sliding wear, followed by the reinforcement percentage, sliding distance, and contact stress. Finally, the wear surface morphology and wear mechanism of the composites were investigated through scanning electron microscopy.
关键词: aluminum ANOVA (analysis of variance) grey relational analysis metal matrix composites SiC particulates Taguchi
Rupesh CHALISGAONKAR, Jatinder KUMAR
《机械工程前沿(英文)》 2013年 第8卷 第2期 页码 201-214 doi: 10.1007/s11465-013-0256-8
This paper describes the development of multi response optimization technique using utility method to predict and select the optimal setting of machining parameters in wire electro-discharge machining (WEDM) process. The experimental studies in WEDM process were conducted under varying experimental conditions of process parameters, such as pulse on time(Ton), pulse off time(Toff), peak current (IP), wire feed (WF), wire tension (WT) and servo voltage (SV) using pure titanium as work material. Experiments were planned using Taguchi’s L27 orthogonal array. Multi response optimization was performed for both cutting speed (CS) and surface roughness (SR) using utility concept to find out the optimal process parameter setting. The level of significance of the machining parameters for their effect on the CS and SR was determined by using analysis of variance (ANOVA). Finally, confirmation experiment was performed to validate the effectiveness of the proposed optimal condition.
关键词: wire electro-discharge machining (WEDM) Taguchi method analysis of variance (ANOVA) utility concept cutting speed (CS) surface roughness (SR)
M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI
《结构与土木工程前沿(英文)》 2019年 第13卷 第3期 页码 526-541 doi: 10.1007/s11709-018-0495-1
关键词: concrete arch dams reliability randomness improved Latin hypercube sampling variance-based sensitivity analysis exceedance probability Sobol′ index
The adoption of repeated measurement of variance analysis and Shapiro–Wilk test
《医学前沿(英文)》 2022年 第16卷 第4期 页码 659-660 doi: 10.1007/s11684-021-0908-8
《医学前沿(英文)》 2022年 第16卷 第4期 页码 661-664 doi: 10.1007/s11684-021-0907-9
Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing
Meenu GUPTA, Surinder Kumar GILL
《机械工程前沿(英文)》 2012年 第7卷 第4期 页码 417-426 doi: 10.1007/s11465-012-0343-2
Glass fiber reinforced plastics (GFRPs) composite is considered to be an alternative to heavy exortic materials. According to the need for accurate machining of composites has increased enormously. During machining, the obtaining cutting force is an important aspect. The present investigation deals with the study and development of a cutting force prediction model for the machining of unidirectional glass fiber reinforced plastics (UD-GFRP) composite using regression modeling and optimization by simulated annealing. The process parameters considered include cutting speed, feed rate and depth of cut. The predicted values radial cutting force model is compared with the experimental values. The results of prediction are quite close with the experimental values. The influences of different parameters in machining of UD-GFRP composite have been analyzed.
关键词: UD-GFRP ANOVA radial cutting force PCD tool Taguchi method regression analysis simulated annealing multi objective techniques
Weiliang WANG, Zhe TIAN
《能源前沿(英文)》 2013年 第7卷 第2期 页码 155-160 doi: 10.1007/s11708-013-0244-z
关键词: radiant cooling system dedicated outdoor air system (DOAS) thermal comfort Taguchi method variance analysis
王秀妮,姜威,王利村
《中国工程科学》 2006年 第8卷 第1期 页码 54-57
由于分形图像编码过程非常费时,因此在前人的基础上,通过分析影响分形图像编码速度的相关因素,提出了使用图像块的改进方差来提高分形压缩性能的思想。在证明迭代函数系统不会改变图像块的改进方差的基础上,给出了基于改进方差的分形图像压缩方法。实验结果说明该方法在保证快速性的同时,重建图像的质量又得到了进一步的提高。
Jinbo SONG, Chen QIAN, Zhuo FENG, Liang MA
《工程管理前沿(英文)》 2021年 第8卷 第1期 页码 48-59 doi: 10.1007/s42524-020-0131-3
关键词: urban redevelopment anxiety dimension influencing factors ANOVA policymaking
《环境科学与工程前沿(英文)》 2023年 第17卷 第1期 doi: 10.1007/s11783-023-1606-3
● Reducting the sampling frequency can enhance the modelling process.
关键词: HDPE Pyrolysis Kinetics Thermogravimetric ANOVA Artificial neural network
Pijush Samui, Jagan J
《结构与土木工程前沿(英文)》 2013年 第7卷 第2期 页码 133-136 doi: 10.1007/s11709-013-0202-1
关键词: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network (ANN) variance
Tanvi SINGH, Mahesh PAL, V. K. ARORA
《结构与土木工程前沿(英文)》 2019年 第13卷 第3期 页码 674-685 doi: 10.1007/s11709-018-0505-3
关键词: batter piles oblique load test neural network M5 model tree random forest regression ANOVA
Surinder Kumar GILL, Meenu GUPTA, P. S. SATSANGI
《机械工程前沿(英文)》 2013年 第8卷 第2期 页码 187-200 doi: 10.1007/s11465-013-0262-x
Machining of plastic materials has become increasingly important in any engineering industry subsequently the prediction of cutting forces. Forces quality has greater influence on components, which are coming in contact with each other. So it becomes necessary to measure and study machined forces and its behavior. In this research work, experimental investigations are conducted to determine the effects of cutting conditions and tool geometry on the cutting forces in the turning of the unidirectional glass fiber reinforced plastics (UD-GFRP) composites. In this experimental study, carbide tool (K10) having different tool nose radius and tool rake angle is used. Experiments are conducted based on the established Taguchi’s technique L18 orthogonal array on a lathe machine. It is found that the depth of cut is the cutting parameter, which has greater influence on cutting forces. The effect of the tool nose radius and tool rake angles on the cutting forces are also considerably significant. Based on statistical analysis, multiple regression model for cutting forces is derived with satisfactory coefficient (R2). This model proved to be highly preferment for predicting cutting forces.
关键词: unidirectional glass fiber reinforced plastics (UD-GFRP) composites machining cutting forces (tangential feed and radial force) ANOVA regression modeling carbide tool (K10)
基于一种全新的优化多变量非等距模型对中国汉族成人左心室多普勒超声心动图测值生理性变异的校正方法 Article
姚桂华, 陈湘云, 杨文静, 张青, 刘静, 梁欢, 孙慧, 许耀, 王丽, 徐金锋, 张澄, 孙丰荣, 张梅, 曾雪迎, 张运
《工程(英文)》 2022年 第16卷 第9期 页码 115-122 doi: 10.1016/j.eng.2021.05.007
多数左心室(LV)多普勒超声心动图参数测值随年龄和性别显著变化,因此有必要对其生理性差异进行校正。本研究旨在验证:不同的多普勒参数测值与生物学特征变量间呈异速非线性相关,且其校正常数与校正指数各不同。共测量了1224名健康成人的23个LV多普勒参数。随机选择70%数据(A组)建立优化多变量非线性模型(OMAM),在30%数据(B组)和183名超重人群数据(C组)中验证OMAM的可靠性,并与基于体表面积(BSA)的单变量等距模型(SVIM)进行比较。结果显示,校正前,23个LV多普勒参数均与一个或多个生物学特征变量显著相关,B组中47.8% (11/23)的参数存在性别间差异,经OMAM校正后,81.8% (9/11)的参数消除了性别间差异。OMAM对B组和C组数据的校正成功率分别为100% (23/23)和82.6% (19/23),建立了独立于生物学特征变量的多普勒参数的OMAM参考值,而基于BSA的SVIM校正成功率为零。不同的LV多普勒参数与一个或多个生物学特征变量呈异速非线性相关;本研究建立的OMAM成功校正了因生物学特征变量差异对健康和超重人群多普勒测值的生理性影响,其校正效果显著优于传统的SVIM。然而,OMAM针对其他种族、肥胖和疾病状态人群的适用性仍需进一步探究
Decomposition analysis applied to energy and emissions: A literature review
《工程管理前沿(英文)》 页码 625-639 doi: 10.1007/s42524-023-0270-4
关键词: index decomposition analysis structural decomposition analysis production decomposition analysis energy CO2 emissions
标题 作者 时间 类型 操作
Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs
Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM
期刊论文
Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept
Rupesh CHALISGAONKAR, Jatinder KUMAR
期刊论文
Reliability and variance-based sensitivity analysis of arch dams during construction and reservoir impoundment
M. Houshmand KHANEGHAHI, M. ALEMBAGHERI, N. SOLTANI
期刊论文
Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors
期刊论文
Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing
Meenu GUPTA, Surinder Kumar GILL
期刊论文
Indoor thermal comfort research on the hybrid system of radiant cooling and dedicated outdoor air system
Weiliang WANG, Zhe TIAN
期刊论文
Measuring residents’ anxiety under urban redevelopment in China: An investigation of demographic variables
Jinbo SONG, Chen QIAN, Zhuo FENG, Liang MA
期刊论文
Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks
期刊论文
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
期刊论文
Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree
Tanvi SINGH, Mahesh PAL, V. K. ARORA
期刊论文
Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite
Surinder Kumar GILL, Meenu GUPTA, P. S. SATSANGI
期刊论文
基于一种全新的优化多变量非等距模型对中国汉族成人左心室多普勒超声心动图测值生理性变异的校正方法
姚桂华, 陈湘云, 杨文静, 张青, 刘静, 梁欢, 孙慧, 许耀, 王丽, 徐金锋, 张澄, 孙丰荣, 张梅, 曾雪迎, 张运
期刊论文