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

In this research work, an attempt has been carried out to examine (investigate) and study the dry, wet and cryogenic boring of AA 7075 alloy, which is predominantly used in transport applications i...

Experimental investigation of dry, wet and cryogenic boring of AA 7075 alloy

This paper proposes a new hybrid optimization algorithm, called “(HSSOGSA)” with the combination of “gravitational search algorithm (GSA)” and “sperm swarm optimization (SSO)”. The underlying concepts and ideas behind the proposed algorithm are to combine the capability of exploitation in SSO with the capability of exploration in GSA to synthesize both algorithms’ strength. To evaluate the efficiency of the proposed approach, different test bed problems of optimization are considered, called the “congress on evolutionary computation (CEC)” 2017 suite. The proposed HSSOGSA is compared against both the standard GSA and SSO algorithms. These algorithms are compared based on two mechanisms, including, qualitative and quantitative tests. For the quantitative test, we adopt best fitness, standard deviation, and average measures, while for the qualitative test, we compare between the convergence rates achieved by the proposed algorithm and the convergence rates achieved by SSO and GSA. The outcomes of the study present the hybrid method possesses a better capability and performance to escape from local extremes with faster rate of convergence than the standard SSO and GSA for the majority of benchmarks functions of wide and narrow search space domain.

A hybrid sperm swarm optimization and gravitational search algorithm (HSSOGSA) for global optimization

In this paper, a novel developed water-cooled advanced submerged arc welding (WASAW) process has been designed and established. The developed WASAW process can be utilized for higher preheating cur...

Investigating the effect of electrode preheating in novel water-cooled advanced submerged arc welding process:

The goal of this work is to propose a hybrid algorithm called real-coded self-organizing migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self-organizing migrating algorithm (SOMA) for solving bound-constrained nonlinear optimization problems having multimodal continuous functions. In RCGA, exponential ranking selection, whole-arithmetic crossover and non-uniform mutation operations have been used as different operators where as in SOMA, a modification has been done. The performance of the proposed hybrid algorithm has been tested by solving a set of benchmark optimization problems taken from the existing literature. Then, the simulated results have been compared numerically and graphically with existing algorithms. In the graphical comparison, a modified performance index has been proposed. Finally, the proposed algorithm has been applied to solve two real-life problems.

A new hybrid algorithm to solve bound-constrained nonlinear optimization problems

Experimental investigation and optimization of weld bead characteristics during submerged arc welding of AISI 1023 steel

Now-a-days, submerged arc welding processes (SAW) are immensely being applied for joining the thick plates and surfacing application. However, the selection of optimal SAW process parameters is indeed an intricate task which aims to accomplish the desired quality of welded part at an economic way. Therefore, in the present paper, the research efforts are made on an implementation of efficient hybrid intelligent algorithms, i.e., hybrid particle swarm optimization and genetic algorithm (hybrid PSO-GA) for the optimization of SAW process parameters. The emphasis was given on different direct parameters such as voltage, wire feed rate, welding speed and nozzle to plate distance and indirect parameters such as flux condition and plate thickness, respectively. The parameters were chosen at two levels using fractional factorial design to study their effect on responses including flux consumption, metal deposition rate and heat input. Besides, the linear regression technique and analysis of variance were used for mathematical modeling of each response. Then, the direct effect and interaction effect on selected responses were investigated by 3D surface plots. At the end, the performance of hybrid PSO-GA is compared with general PSO and GA algorithms for indices including success rate, best solution, mean, computational time, standard deviation and mean absolute percentage error between. The overall results suggested that the hybrid PSO-GA is better option than other two algorithms, i.e., PSO and GA for obtaining the optimum SAW process parameters.

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Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms

In this article, effects of advanced submerged arc welding process parameters on weld bead geometry have been investigated. A novel water-cooled torch has been developed which allow a use of higher preheat current values for a continuous advanced submerged arc welding (ASAW) operation. Weld beads have been deposited on AISI 1023 steel plates by varying open circuit voltage, wire feed rate, welding speed, nozzle to plate distance, and preheat current as per central composite design. The relationships between welding parameters and weldment characteristics namely bead width, penetration, reinforcement, and dilution have been developed using multiple linear regression. The effects of individual process parameters and their interactions on response parameters were examined. Finally, single and multiobjective optimization of process parameters were performed using desirability approach and Jaya algorithm. The results reveal that a smaller bead width and lower dilution can be achieved with the developed...

Investigating effects of resistance wire heating on AISI 1023 weldment characteristics during ASAW

In the current era, the Advanced Ultra Super-Critical (AUSC) plants have been used to substantially increased efficiency with environmental protection. AUSC components boiler header, re-heater and super-heater tube etc. are fabricated by using advanced materials to join by the welding process. Any failure of the power plant can lead to grave consequences, not only of substantial financial losses but additionally immensely treasured and irreparable human life loss. In this review, the dissimilar metal welds (DMWs) have many issues such as metallurgical issue, cracking, carbon migration, welding electrode selection, creep properties, suitable welding process and structure integrity issues which enhanced the failure of weldments. The results of our review showed that DMWs of AUSC power plant are joined by activated flux Tungsten Inert Gas (A-TIG) and Pulse A-TIG process to increase the productivity and cut the significant fraction of cost. However, A-TIG process with Post Weld Heat Treatment (PWHT) improved the mechanical properties and high-temperature creep resistance properties of DMWs. This state of the art is encouraged the researchers about the enormous future scope.

Manoj Kumar

Papers

Experimental investigation and optimization of weld bead characteristics during submerged arc welding of AISI 1023 steel

Investigating the effect of electrode preheating in novel water-cooled advanced submerged arc welding process:

Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms

Investigating effects of resistance wire heating on AISI 1023 weldment characteristics during ASAW

Dissimilar Metal Welds used in AUSC Power Plant, Fabrication and Structural Integrity Issues