Papers by Keyword: Experimental Design

Paper TitlePage

Authors: Wei Zhou, Fei Xie, Yi Fan Zhu, Qun Li, Wang Xun Zhang
Abstract: The feature of deception jamming for GNSS-dot networks is researched and analyzed, and it is difficult to accurately locate and correct the interference position by using the interference detection methods of the traditional WSN, a new attack detection algorithm that based on an improved angle of arrival (AOA) positioning mechanism to determine the point of disruption and interference correction is proposed. Nextly the algorithm of a single interference source localization based on the hyperbolic method by using anti-jamming principle of the GNSS is researched and given, and can locate both single and multiple interference sources. Then the indicators and methods of performance evaluation for the GNSS-dot networks are proposed. Finally, Experiment based on the algorithm is realized, and the attack detection and correction is very efficient, and interference location under ideal conditions is higher efficiency, and the strategies of anti deception jamming are also identified.
Authors: Jair Silveira, Luiz Renato de A.P. Pontes, Josinaldo P. Leite, Jorge H. Echude-Silva
Abstract: This article presents a method to optimize the formulation of ceramic masses for coatings using the statistical design of experiments. The project of simplex mixtures in pseudocomponents considered six control factors (wt. %): talc, quartz, limestone, phyllite, dolomite and clay and three response variables: linear retraction, bending resistance and water absorption. The proposed method was implemented in the stages: (1) identification of the problem, (2) planning and execution of the experiments and (3) optimization and discussion of the results. The optimization method is defined through the simulation, imposing the restrictions that each response demands.
Authors: Hong Wu, Wei Ping Wang, Feng Yang
Abstract: Computer experiments are widely used for the design and development of products. Therefore, a new method for constructing optimal experimental design(SOEDM) is developed in this paper. There are two major developments involved in this work. One is on developing a multi- objective optimal criterion by combining correlation and space-filling criteria. The other is on developing an efficient global optimal search algorithm, named as improved enhanced stochastic evolutionary (IESE) algorithm. Several examples are presented to show: the optimal designs are good in terms of both the correlation and distance criteria, the new method can be used in other experimental designs besides Latin hypercube design the number of levels of each factor is equal to the number of the experimental schemes, and the new algorithm is fast.
Authors: Thanarat Yupapornsopa, Suksan Prombanpong, Jessada Juntawongso
Abstract: One of the advance adhesion methods is a friction bonding process which two or more materials are welded by a combination of heat and force to soften and attain an atomic adhesion between the two work layers. Using the insufficient heat and force, it can result in a delamination, which their layers do not completely sealed after the process. On the other hand, too much heat and force can result in an overflow of inserted aluminum and weak adhesive strength. This paper aims at revealing the effect of work temperature and force on the delamination defect. A blank stainless steel 430 with a dimension of 145 mm and 0.5 mm thickness is bonded with an Al 3003. The dimension of Al 3003 blank is 255 mm in diameter and 0.5 mm thickness. An aluminum 1100 with a diameter of 130 mm and 2.5 mm thickness is used as an adhesive bonding material between the stainless steel and the Al 3003 blank. The results showed that a reduction in defect rate can be obtained by increasing the work temperature as well as the stamping force. In addition, the optimal condition of the study case is also obtained through the experimental design. It can be concluded from the analysis that at voltage of 580 Volt which is equivalent to 470 C and force of 1,000 Tons is the optimal condition providing the least defect rate. The regression model was also developed to show the relationship of factors to the delamination size. This equation can be used to predict the mentioned delamination rate at various conditions.
Authors: Aunyanat Rattanasatitkul, Suksan Prombanpong, Pongsak Tuengsook
Abstract: The anodizing process is an aluminum surface treatment process which an aluminum oxide film forms on an aluminum substrate. Typically, the anodic thickness is a required specification which depends upon current density and anodizing cycle time. In addition, another important factor is ramp time which must be proper set to prevent a burn defect. Thus, this paper investigates a relationship among these three factors to determine the setting condition which minimizes the anodizing cycle time. Moreover, the required thickness must be obtained without increasing the burn defect rate. The experimental design technique is proposed to achieve this goal and it is found that the current of 35 amp, ramp time of 340sec and anodizing time at 1400 sec ensure the obtained anodic thickness greater than 30 micron.
Authors: Branimir Barisic, Miljenko Dino Math, Branko Grizelj
Abstract: In order to determine the forming force in deep drawing and backward extrusion processes (on Al 99.5F7 specimens) the analytical, numerical and stochastic modeling and analysis of forming force on the basis of the Box-Wilson’s multi factorial experimental designs by use of rotatable experimental design were carried out. The goal of the paper is to predict the force in these different forming processes giving identical parts by means of different modeling approaches. This study will seek to compare the results of these modeling solutions with experimental results serving to check the correction and the verification of analytic, stochastic and numerically obtained results. Also, the scope of the present paper is to evaluate different parameters affecting these processes and to examine some experimental procedures in laboratory scale for the listed material in order to give more useful information in numerical and stochastic computations and also, to define the correlation among the parameters of these processes in order to improve the existing one and to raise it to a higher techno economic level. The increasing tendency for industrial parts cost reduction, quality improvement, materials savings, and the shortening of design and manufacturing time is more focused on this way of analysis of processes. These investigations are a basis for general conclusions about the forming force and they have a direct application in the projecting of these processes, tools and forming systems.
Authors: Cheng Long Liu, Hui Zhu, Zhi Gang Yang
Abstract: To reduce the computational resources, experimental design and response surface method (RSM) were employed to investigate the aerodynamic drag coefficient (CD) and lift coefficient (CL) of airfoils by using CFD methods. The selection of sample points, development and validation of response surface model and the effects of different sample points on approximation model were discussed. The results indicates that the number and distribution of sample points have a significant impact on model accuracy and optimize results. Also this method can greatly reduce calculation amount.
Authors: Li Li Meng, Chun Guang Lu, Xiao Yan Xi, Hui Zhen Zhao
Abstract: According to the quality problems in one gear enterprise, the DMAIC method which is the core application of the six sigma theory is used to improve the quality of the spiral bevel gear, and the quality data is analyzed by using Minitab software. Firstly, the quality problem is defined in accordance with the DMAIC procedures and the main reasons for quality problems in spiral bevel gears are determined. Secondly, measurement systems and process capability are analyzed. Then, we set a specific program for the improvements for the main causes of quality problems. Through the successful implementation of this project, the quality of spiral bevel gears is greatly improved, and the production cost is greatly reduced. The effect is very significant.
Authors: Tian Zhong Sui, Lei Wang, Dong Mei Cheng, Hong Wen Cui
Abstract: In this paper, a multi-objective parameter optimization model based on experimental design and NN-GA is established. In this method, utilizing experimental design principle to deal with test project and applying NN to map and using Pareto genetic algorithm to optimize, multi-objective parameter optimization is accomplished, in which the high nonlinear mapping ability of neural network model, the global research ability of genetic algorithms and multiform choice about the test points according to experimental demand are utilized synthetically. A Pareto-optimal set can be found in specify region. The method can be applied broadly and it needn’t the concrete mathematic model for different optimizing demand. For virtual devices and products, the virtual experiments can be realized by parameter-driven characteristic.
Authors: Vijayan Krishnaraj, Redouane Zitoune, Francis Collombet, J. Paulo Davim
Abstract: Drilling of multimaterails is a challenge to manufacturing engineers. Many combinations of multimaterial stacks are possible, they are CFRP/Ti, CFRP/Al, CFRP/Ti/Al etc. The thrust force and surface roughness measured during drilling using plain carbide drill (K20) with drill parameters in drilling carbon fibre reinforced plastic (CFRP) laminate/aluminium (Grade 2024) stack and CFRP/Ti were experimentally investigated in this study.
Showing 1 to 10 of 53 Paper Titles