THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Preface 1.General Considerations 2.Basic Processes in Atomization 3.Drop Size Distributions of Sprays 4.Atomizers 5.Flow in Atomizers 6.Atomizer Performance 7.External Spray Charcteristics 8.Drop Evaporation 9.Drop Sizing Methods Index

Atomization and Sprays

Tribology of enhanced turning using biolubricants: A comparative assessment

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Nano-enhanced biolubricant in sustainable manufacturing: From processability to mechanisms

Public finance theory states that, related to the causality relationship between budgetary revenues and expenditures, it could be investigated if revenues adjust due to changes in expenditures, or otherwise, depending on the sense of the causality. This theory could, also, be applied to the components of current account in order to analyze the synchronization between inflows and outflows of international trade. In the case where the two time series are cointegrated, classical Granger causality test could reveal distorted results. Consequently, it can be used an adjusted Granger test based on cointegration equation between the two variables. The aim of this paper is to investigate the causal relationship between exports and imports of Romanian current account, according to the methodology of Engle and Granger. The results could reveal some insights related to the formation of current account deficit, based on the adjustments of inflows caused by changes in outflows, or, otherwise. Abstract. This paper is organised as follows: first, it is given a brief introduction of a simple model for European options price and next, the parallel algorithms applied to this model. Considering the idea given by odd%even cyclic reduc tion, we start from an explicit scheme obtained by means of finite differences, and give an alternative of evaluating the approximate values using an odd%even cyclic reduction which generates a logarit hmic time of execution. Also, it is solved numerically using a parallelised domain decomposition method. The spatial domain is splitted among several processors, with data communicated among the processors using MPI. Interface conditions between domains are calculated using finite differences. For smaller sized problems the communication time is much longer than the computation time.

http://www.ecocyb.ase.ro/2,2009,%20REZUMATE.pdf

Economic computation and economic cybernetics studies and research, issue 2/2009 abstracts, issue 2/ 2009

Development of novel cutting tool with a micro-hole pattern on PCD insert in machining of titanium alloy

The influence of cutting parameters on the responses in face milling has been examined. Spindle speed, feed rate and depth of cut have been considered as the influential factors. In accordance with the design of experiments (DOE) a series of experiments have been carried out. The paper exemplifies on the optimizing the process parameters in milling through the application of Response surface methodology (RSM), RSM-based Particle Swarm Optimization (PSO) technique and Desirability approach. These aforesaid techniques have been applied to experimentally establish data of AA6061 aluminium material to study the effect of process parameters on the responses such as cutting force, surface roughness and power consumption. By adopting the multiple regression techniques, the interaction between the process parameters are acquired. The optimal parameters have been found by adopting the multi-response optimization techniques, i.e. desirability approach and PSO. The performance capability of PSO and desirability approach is investigated and found that the values obtained from PSO are comparable with the values of desirability approach.

Machining Parameters Optimization of AA6061 Using Response Surface Methodology and Particle Swarm Optimization

Measurement of output variables for process parameters obtained from Taguchi DOE.Development of RSM and GA-MLPNN models for predicting thrust force.Optimization of thrust force using RSM and GA.Comparison of performance of RSM and GA models. Due to the intricacy of machining processes and inconsistency in material properties, analytical models are often unable to describe the mechanics of machining of carbon fiber reinforced polymer (CFRP) composites. Recently, soft computing techniques are used as alternate modeling and analyzing methods, which are usually robust and capable of yielding comprehensive, precise, and unswerving solutions. In this paper, drilling experiments as per the Taguchi L27 experimental layout are carried out on bi-directional carbon fiber reinforced polymer (BD CFRP) composite laminates using three types of drilling tools: high speed steel (HSS), uncoated solid carbide (USC) and titanium nitride coated SC (TiN-SC). The focus of this work is to determine the best drilling tool that produces good quality drilled holes in BD CFRP composite laminates. This paper proposes a novel prediction model 'genetic algorithm optimised multi-layer perceptron neural network' (GA-MLPNN) in which genetic algorithm (GA) is integrated with Multi-Layer Perceptron Neural Network. The performance capability of response surface methodology (RSM) and GA-MLPNN in prediction of thrust force is investigated. RSM is also used to evaluate the influence of process parameters (spindle speed, feed rate, point angle and drill diameter) on thrust force. GA is used to optimize the thrust force and its optimization performance is compared with that of RSM. It is observed that the GA-MLPNN is better predicting tool than the RSM model. The investigation in this paper demonstrates that TiN-SC is the best tool for drilling BD CFRP composite laminates as minimum thrust force is developed during its use.

Soft computing techniques during drilling of bi-directional carbon fiber reinforced composite

Microstructure and mechanical properties of rutile-reinforced AA6061 matrix composites produced via stir casting process

Recent developments in advanced materials research have led to the emergence of new materials having features like low density, high strength to weight ratio, excellent mechanical properties, heat and corrosion resistance. In friction stir welding (FSW), a non-consumable rotating welding tool is used to generate the frictional heat and plastic deformation of the material in the welding zone, which is in the solid state. The advantages of FSW as compared to the fusion welding are high joint strength, less defect weld, uniform distribution of grain structure in the weld zone and low power consumption. AA6061with 4.5 % weight of copper and 5 % weight of SiC composite material has been prepared to conduct experiment and carry out characterization, evaluation of the mechanical properties. Micro-structural characterization of the weld zone is carried out by scanning electron microscope (SEM). Evaluation of hardness was also carried out across the weld zone. A successful method for FSW of AA6061-4.5(wt.%) Cu-5(wt.%) SiC has been developed. Defence Science Journal, 2013, 63(4), pp.429 -434 , DOI:http://dx.doi.org/10.14429/dsj.63.4869

Mervin A. Herbert

Papers

Development of novel cutting tool with a micro-hole pattern on PCD insert in machining of titanium alloy

Machining Parameters Optimization of AA6061 Using Response Surface Methodology and Particle Swarm Optimization

Soft computing techniques during drilling of bi-directional carbon fiber reinforced composite

Microstructure and mechanical properties of rutile-reinforced AA6061 matrix composites produced via stir casting process

Microstructural Characterization and Hardness Evaluation of Friction Stir Welded Composite AA6061-4.5Cu-5SiC (Wt.%)