scholarly journals Optimization of AL6061-T6 Tube End Forming Process Using Response Surface Method

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Amr Shaaban ◽  
Adel M. Elsabbagh
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Element Model ◽  
Experimental Results ◽  
Fe Model ◽  
Forming Process ◽  
Contact Depth ◽  
Roller Diameter ◽  
Surface Method ◽  
Welding Processes

Tube end closing is a metal forming process that replaces welding processes while closing tubes ends. It depends on deforming a rotating tube using a roller, and therefore, it is also called tube end spinning. The process involves many parameters like contact depth, roller inclination angle, roller diameter, mandrel curvature, and tube rotational speed. This study develops a finite element model (FE-model) for this process and validates it through experimental results. The numerical and experimental results have shown minor deviation of 1.87%. The FE-model is then employed to carry out a statistical analysis based on the response surface method (RSM). The analysis of variance (ANOVA) and regression analysis have proved the accuracy of the obtained mathematical model. The contact depth has proved to have the most significant effect in the process responses, while the roller diameter has the least effect. Finally, an optimization analysis is carried out to select the finest conditions for the process.

Combining Response Surface Method and Metaheuristic Algorithms for Optimizing SPIF Process

2021 ◽  
Vol 11 (4) ◽  
pp. 1-25
Author(s):  
Amr Ahmed Shaaban ◽  
Omar Mahmoud Shehata
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Single Point ◽  
Experimental Studies ◽  
Optimization Techniques ◽  
Parameters Optimization ◽  
Second Phase ◽  
Fe Model ◽  
Optimum Conditions ◽  
Surface Method

Recently, studies have focused on optimization as a method to reach the finest conditions for metal forming processes. This study tests various optimization techniques to determine the optimum conditions for single point incremental forming (SPIF). SPIF is a die-less forming process that depends on moving a tool along a path designed for a specific feature. As it involves various parameters, optimization based on experimental studies would be costly, hence a finite element model (FE-model) for the SPIF process is developed and validated through experimental results. In the second phase, statistical analyses based on the response surface method (RSM) are conducted. The optimum conditions are determined using the desirability optimization method, in addition to two metaheuristic optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization (PSO). The results of all optimization techniques are compared to each other and a confirmation test using the FE-model is subsequently performed.

scholarly journals Optimization of the Countersinking Parameters Based on the Response Surface Method

2021 ◽  
Author(s):  
Hassen Mosbah ◽  
Slimen Attyaoui ◽  
Rachid Nasri
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Sequential Quadratic Programming ◽  
Numerical Optimization ◽  
Element Model ◽  
Poor Quality ◽  
Blank Holder ◽  
Surface Method ◽  
Good Agreement

Abstract The countersinking process is affected by many factors including the tools and the workpiece parameters. Some forming phenomena such as the knife-edge affect the quality of the countersunk hole. Up to now, many kinds of research rely mainly on the experiments which lead to poor quality and difficult control of this process. In this paper, a proposed numerical optimization of the countersinking process is developed to obtain a normalized countersunk hole. This optimisation approach is based on the response surface method (RMS), design of experiments (DOE) and the sequential quadratic programming (SQP). Finite element model is performed with an elasto-plastic behaviour for simulating the process. A configuration with an imposed displacement applied to the blank holder is adopted in this study. The comparison between the results of the numerical model and the experiments showed a good agreement.

Removal of humic acid from composted hog waste by the white-rot fungus, Phanerochaete chrysosporium

2015 ◽  
Vol 72 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Junying Liu ◽  
Yunmeng Song ◽  
Roger Ruan ◽  
Yuhuan Liu
Keyword(s):  
Humic Acid ◽  
Response Surface ◽  
Phanerochaete Chrysosporium ◽  
Response Surface Method ◽  
Experimental Results ◽  
White Rot ◽  
White Rot Fungus ◽  
Optimal Conditions ◽  
Surface Method ◽  
Strong Agreement

Abstract The potential hazards of humic acid (HA) associated with hog waste effluent, coupled with increasing awareness of environmental problems, have prompted many countries to control disposal of effluents into water bodies and to maximize removal of HA. Here we employed the white-rot fungus, Phanerochaete chrysosporium, to degrade the HA in composted hog waste effluent, evaluated by the response surface method. Preliminary experiments demonstrate that pH, temperature and quantity of inoculum are significant variables determining success of the fungus. In total, 13 experiments were conducted with three variables designated as A (pH), B (temperature) and C (inoculum amount). The optimal conditions for reduction of HA by P. chrysosporium are pH 6, 31.5°C and an inoculum quantity of 5.86 g. Predicted and experimental results exhibit strong agreement, indicating efficiency in the model obtained by response surface method. Therefore, P. chrysosporium is an effective micro-organism for removal of HA from composted hog waste effluent.

Optimization of Preform Design in Tadeusz Rut Forging of Heavy Crankshafts

2017 ◽  
Vol 139 (9) ◽  
Author(s):  
Min Churl Song ◽  
Chester J. VanTyne ◽  
Jin Rae Cho ◽  
Young Hoon Moon
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Dimensional Accuracy ◽  
Dominant Factor ◽  
Fe Model ◽  
Preform Design ◽  
Multi Objective Optimization ◽  
Surface Method ◽  
Material Volume ◽  
Geometric Variables

Tadeusz Rut (TR) forging is a widely used forging method to create heavy, solid crankshafts for marine or power-generating engines. The preform of a TR forging is forged into a crank throw by simultaneously applying both a vertical and a horizontal deformation. It is necessary to optimize the preform design, since a conventional analytical design for the preform gives various choices for the geometric variables. The purpose of the current study is to optimize the preform design in TR forging for heavy crankshafts in order to improve the dimensional accuracy of a forged shape using a limited material volume. A finite element (FE) model for TR forging was developed and validated by comparing with experimental results. Parametric FE analyses were used to evaluate the effects of the geometric variables of the preform on the final dimensions of the forged product. The geometric variables of the preform were optimized by a response-surface method (RSM) to obtain the results of parametric FE analyses. The volume allocation between the pin and the web of the preform is the dominant factor that affects the desirability of the final forged shape. A multi-objective optimization is employed to consider the mutually exclusive changes of local machining allowances of the final forged product. Optimization using a response-surface method is a useful tool to reach the large and uniform machining allowances that are required for the preform necessary for a TR forging.

Static Finite Element Model Updating for Special-Shaped Bridge Based on Response Surface Method

2012 ◽  
Vol 236-237 ◽  
pp. 611-616
Author(s):  
Han Bing Liu ◽  
Yan Jun Song ◽  
Ya Feng Gong
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Response Surface ◽  
Response Surface Method ◽  
Model Updating ◽  
Design Method ◽  
Uniform Design ◽  
Element Model ◽  
Finite Element Software ◽  
Surface Method

The establishment of an effective finite element model for bridge structure is essential in the health monitoring system for Bridge. A new updating method for static model using response surface method is proposed in this paper, and the main procedures are given with an example of a special-shaped bridge. Firstly, the bridge deflection and strain data in designed load case are obtained. Several groups of combined parameters which are chosen based on the principle of uniform design method are selected to conduct calculation through finite element software. Finally through response surface fitting and optimization, the updated bridge finite element model is obtained. The results show that the updated model is approximate to the real bridge and this updating method is rational and practical.

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