scholarly journals Study on optimization of thermal spinning process of accumulator shell

2020 ◽  
Vol 21 (4) ◽  
pp. 402
Author(s):  
Bin Li ◽  
Yunan Li ◽  
Peihao Zhu ◽  
Wenpeng Ma ◽  
Yinhong Xiao ◽  
...  
Keyword(s):  
Response Surface Model ◽  
Spindle Speed ◽  
Surface Model ◽  
Multi Objective Optimization ◽  
Process Technology ◽  
Element Simulation ◽  
Maximum Wall Thickness ◽  
Spinning Process ◽  
Hot Spinning Process ◽  
Central Composite

In view of the shortcomings of the existing hot spinning process technology of the accumulator shell, a method for optimizing the multi-spinning process parameters is proposed. The Johnson-Cook constitutive model of the accumulator shell material – 34CrMo4 alloy steel − was established with its parameters obtained experimentally. The finite element simulation was carried out for the hot spinning and closing process. Based on which, three parameters with the greatest influence on the spinning formation were studied: spinning temperature, spindle speed and friction coefficient. Combined with the central composite test, the response surface model and the mapping relationship between the three parameters and the maximum mises stress as well as the maximum wall thickness increment of the shell were established. The Pareto optimized solution set was obtained through multi-objective optimization. Under the condition of not affecting product quality, the optimized solution with low spinning temperature and high spindle speed is selected to reduce energy loss and improve work efficiency. The results indicate that the optimized process is experimentally verified to reduce the process temperature by nearly 30 °C, and the efficiency is increased by 25%.

Finite Element Analysis and Multi-Objective Optimization of the Precision Horizontal Machining Center Bed

2014 ◽  
Vol 889-890 ◽  
pp. 130-134
Author(s):  
Xue Yan Li ◽  
Wen Tie Niu ◽  
Jun Qiang Wang ◽  
Ling Jun Xue
Keyword(s):  
Response Surface ◽  
Response Surface Model ◽  
Least Square ◽  
Surface Model ◽  
Multi Objective Optimization ◽  
Element Analysis ◽  
Maximum Deformation ◽  
Multi Objective ◽  
Machining Center ◽  
Sample Points

In order to improve dynamic and static performance of the precision horizontal machining center, the method of multi-objective optimization based on the response surface model was applied for optimizing design of the bed structure. The design variables were the layout parameters of the rib plates. Sample points were obtained by the Box-Behnken design experiment, and responses of sample points were analyzed by SAMCEF. The maximum deformation of guide rails and the low-order natural frequency were extracted to fit the response surface model by least square method. The layout parameters of the rib plates were optimized through the application of multi-objective genetic algorithms. Then, relationship between the lightening holes and the performance were analyzed to determine the suitable diameter. The results verify the validity of the optimization method, and the paper provides methodological guidance for optimization of machine tool structural parts.

scholarly journals Research on Multipass Hot Spinning Process Technology of AZ80 Magnesium Alloy Shell

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Wei Liang ◽  
Lin Guan ◽  
Qiongying Lv ◽  
Zhigang Xing
Keyword(s):  
Magnesium Alloy ◽  
Process Parameters ◽  
Simulation Analysis ◽  
Preliminary Test ◽  
Process Technology ◽  
Az80 Magnesium Alloy ◽  
Spinning Process ◽  
Temperature Parameter ◽  
Technical Specifications ◽  
Hot Spinning Process

Combined with finite element numerical simulation analysis, the hot-spin forming technology of cylindrical AZ80 magnesium alloy parts was studied in the paper. The multipass hot-spin forming of magnesium alloy shell parts was simulated by the ABAQUS software to analyze the stress and strain distribution and change during spinning for the preliminary test process parameters in the magnesium alloy spinning test. Then, the process parameters were optimized during the hot spinning test, especially the matching relationship between temperature parameter and thinning rate parameter, and the hot spinning magnesium alloy shell parts with the expected technical specifications were finished.

scholarly journals Central Composite Design for Response Surface Methodology and Its Application in Pharmacy

2021 ◽  
Author(s):  
Sankha Bhattacharya
Keyword(s):  
Central Composite Design ◽  
Response Surface ◽  
Response Surface Model ◽  
Fractional Factorial ◽  
Surface Model ◽  
Experimental Conditions ◽  
Design Models ◽  
Central Composite

The central composite design is the most commonly used fractional factorial design used in the response surface model. In this design, the center points are augmented with a group of axial points called star points. With this design, quickly first-order and second-order terms can be estimated. In this book chapter, different types of central composite design and their significance in various experimental design were clearly explained. Nevertheless, a calculation based on alpha (α) determination and axial points were clearly described. This book chapter also amalgamates recently incepted central composite design models in various experimental conditions. Finally, one case study was also discussed to understand the actual inside of the central composite design.

scholarly journals Optimization of Simultaneous Chemical and Biological Mineralization of Perchloroethylene

1999 ◽  
Vol 65 (6) ◽  
pp. 2784-2788 ◽  
Author(s):  
Fati˙h Büyüksönmez ◽  
Thomas F. Hess ◽  
Ronald L. Crawford ◽  
Andrzej Paszczynski ◽  
Richard J. Watts
Keyword(s):  
Hydrogen Peroxide ◽  
Ferrous Iron ◽  
Cell Number ◽  
Response Surface Model ◽  
The Other ◽  
Surface Model ◽  
Xanthobacter Flavus ◽  
Quadratic Response Surface ◽  
Quadratic Response ◽  
Central Composite

ABSTRACT Optimization of the simultaneous chemical and biological mineralization of perchloroethylene (PCE) by modified Fenton’s reagent and Xanthobacter flavus was investigated by using a central composite rotatable experimental design. Concentrations of PCE, hydrogen peroxide, and ferrous iron and the microbial cell number were set as variables. Percent mineralization of PCE to CO2 was investigated as a response. A second-order, quadratic response surface model was generated and fit the data adequately, with a correlation coefficient of 0.72. Analysis of the results showed that the PCE concentration had no significant effect within the tested boundaries of the model, while the other variables, hydrogen peroxide and iron concentrations and cell number, were significant at α = 0.05 for the mineralization of PCE. The 14C radiotracer studies showed that the simultaneous chemical and biological reactions increased the extent of mineralization of PCE by more than 10% over stand-alone Fenton reactions.

Sign in / Sign up

Export Citation Format

Share Document