scholarly journals Optimisation of micro W-bending process parameters using I-optimal design-based response surface methodology

2021 ◽  
Vol 8 ◽  
pp. 7
Author(s):  
Xiaoyu Liu ◽  
Xiao Han ◽  
Shiping Zhao ◽  
Yi Qin ◽  
Wan-Adlan Wan-Nawang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Response Surface ◽  
Process Parameters ◽  
Design Method ◽  
Dimensional Accuracy ◽  
Foil Thickness ◽  
Optimum Process ◽  
Proposed Model ◽  
Bending Process

There is an increasingly recognised requirement for high dimensional accuracy in micro-bent parts. Springback has an important influence on dimensional accuracy and it is significantly influenced by various process parameters. In order to optimise process parameters and improve dimensional accuracy, an approach to quantify the influence of these parameters is proposed in this study. Experiments were conducted on a micro W-bending process by using an I-optimal design method, breaking through the limitations of the traditional methods of design of experiment (DOE). The mathematical model was established by response surface methodology (RSM). Statistical analysis indicated that the developed model was adequate to describe the relationship between process parameters and springback. It was also revealed that the foil thickness was the most significant parameter affecting the springback. Moreover, the foil thickness and grain size not only affected the dimensional accuracy, but also had noteworthy influence on the springback behaviour in the micro W-bending process. By applying the proposed model, the optimum process parameters to minimize springback and improve the dimensional accuracy were obtained. It is evident from this study that the I-optimal design-based RSM is a promising method for parameter optimisation and dimensional accuracy improvement in the micro-bending process.

Optimization of electrohydraulic forming process parameters using the response surface methodology

2021 ◽  
Vol 63 (6) ◽  
pp. 571-580
Author(s):  
Balasubramanian Arun Prasath ◽  
Pasupathy Ganesh ◽  
Karibeeran Shanmuga Sundaram
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Standoff Distance ◽  
Optimum Process ◽  
Forming Process ◽  
Electrohydraulic Forming ◽  
Acceptable Range ◽  
Steel Aisi ◽  
Experimental Values

Abstract This work’s main objective is to determine the optimum process parameters in the electrohydraulic forming (EHF) of austenitic stainless steel AISI 304 of 0.25 mm thickness for macro and micro shape. A truncated cone with grooves in the apex is considered as macro-micro shape. The response surface methodology (RSM) was developed for process variables such as voltage and standoff distance to determine the optimum parameters. To validate the model, confirmation experiments have been conducted, i. e. for the optimum value of voltage (V) = 8.935 kV and standoff distance (SOD) = 40.60 mm, and from the experiments the forming depth predicted is 9.221 mm and depth from the experiments is 9.5 mm. The percentage deviation from the predicted and experimental forming depth is 3.025 %, an acceptable range of less than 5 % for the surface roughness, the predicted value is 0.2598 microns, and the experimentally measured value is 0.268. The percentage deviation is 3.156 % between the predicted and experimental values, an acceptable range of less than 5 %. This shows that the model is suitable for predicting both responses. The validation experiments also found that the sheet fills one of the grooves and partially fills the other, which shows the capability of the electrohydraulic forming process. Confirmation experiments have been conducted.

scholarly journals Optimization of process conditions for microwave-assisted flax water retting by response surface methodology and evaluation of its fiber properties

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 5859-5870
Author(s):  
Dan Zhao ◽  
Hairui Ji ◽  
Renpeng Du ◽  
Qi Wang ◽  
Wenxiang Ping ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Tensile Properties ◽  
Response Surface ◽  
Process Parameters ◽  
Microwave Power ◽  
Hot Water ◽  
Optimum Process ◽  
Process Conditions ◽  
Microwave Assisted ◽  
Microwave Assistance

Microwave-assistance was used to increase the degumming efficiency in flax water retting. Different pre-soaking times, microwave times, and microwave power were investigated in this study. The relationships between degumming rate and process parameters were established via response surface methodology (RSM). The optimum process parameters were a pre-soaking time of 25.5 h, a microwave time of 18.5 min, and a microwave power setting of 570 W. Under these optimal conditions, the degumming rate was 83.85% ± 1.13%, which was 1.33 times higher than that of natural hot water retting (P < 0.05). Moreover, the tensile properties and color of the resulting fibers showed that they had tensile properties similar to those of the natural hot water retting fibers. However, the color values for the natural hot water retting fibers were higher than those of the fibers treated with microwave-assisted flax water retting.

An Optimal Design Method in First Order analysis : Shape optimization based on the response surface methodology

2001 ◽  
Vol 2001.10 (0) ◽  
pp. 128-129
Author(s):  
Tatsuyuki AMAGO ◽  
Hidekazu NISHIGAKI ◽  
Shinji NISHIWAKI ◽  
Yoshio KOJIMA ◽  
Noboru KIKUCHI
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Shape Optimization ◽  
Response Surface ◽  
Design Method ◽  
Order Analysis ◽  
First Order ◽  
Optimal Design Method

Process optimization of rolling for zincked sheet technology using response surface methodology and genetic algorithm

2017 ◽  
Vol 31 (16-19) ◽  
pp. 1744017
Author(s):  
Liang-Bo Ji ◽  
Fang Chen
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Reduction Rate ◽  
Optimum Process ◽  
Surface Model ◽  
Optimization Of Process Parameters ◽  
Predicted Values ◽  
Shortening Rate

Numerical simulation and intelligent optimization technology were adopted for rolling and extrusion of zincked sheet. By response surface methodology (RSM), genetic algorithm (GA) and data processing technology, an efficient optimization of process parameters for rolling of zincked sheet was investigated. The influence trend of roller gap, rolling speed and friction factor effects on reduction rate and plate shortening rate were analyzed firstly. Then a predictive response surface model for comprehensive quality index of part was created using RSM. Simulated and predicted values were compared. Through genetic algorithm method, the optimal process parameters for the forming of rolling were solved. They were verified and the optimum process parameters of rolling were obtained. It is feasible and effective.

Sensitivity analysis of process parameters for granular mixing in an intensive mixer using response surface methodology

2021 ◽  
Vol 384 ◽  
pp. 51-61
Author(s):  
Zhijian Zuo ◽  
Shuguang Gong ◽  
Guilan Xie ◽  
Jianping Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Granular Mixing

scholarly journals Optimizing Laser Powder Bed Fusion Parameters for IN-738LC by Response Surface Method

Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4879
Author(s):  
Mireia Vilanova ◽  
Rubén Escribano-García ◽  
Teresa Guraya ◽  
Maria San Sebastian
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Process Parameters ◽  
Crack Density ◽  
Processing Parameters ◽  
Optimum Process ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Surface Method

A method to find the optimum process parameters for manufacturing nickel-based superalloy Inconel 738LC by laser powder bed fusion (LPBF) technology is presented. This material is known to form cracks during its processing by LPBF technology; thus, process parameters have to be optimized to get a high quality product. In this work, the objective of the optimization was to obtain samples with fewer pores and cracks. A design of experiments (DoE) technique was implemented to define the reduced set of samples. Each sample was manufactured by LPBF with a specific combination of laser power, laser scan speed, hatch distance and scan strategy parameters. Using the porosity and crack density results obtained from the DoE samples, quadratic models were fitted, which allowed identifying the optimal working point by applying the response surface method (RSM). Finally, five samples with the predicted optimal processing parameters were fabricated. The examination of these samples showed that it was possible to manufacture IN738LC samples free of cracks and with a porosity percentage below 0.1%. Therefore, it was demonstrated that RSM is suitable for obtaining optimum process parameters for IN738LC alloy manufacturing by LPBF technology.

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