scholarly journals Multi-regression prediction model for surface roughness and tool wear in turning novel aluminum alloy (LM6)/fly ash composite using response surface and central composite design methodology

2017 ◽  
pp. 1-18 ◽  
Author(s):  
Smita Rani Panda ◽  
Ajit Kumar Senapati ◽  
Purna Chandra Mishra
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Fly Ash ◽  
Tool Wear ◽  
Prediction Model ◽  
Central Composite Design ◽  
Response Surface ◽  
Design Methodology ◽  
Central Composite

scholarly journals Design of Experiment in the Milling Process of Aluminum Alloys in the Aerospace Industry

2020 ◽  
Vol 10 (19) ◽  
pp. 6951
Author(s):  
Aurel Mihail Țîțu ◽  
Andrei Victor Sandu ◽  
Alina Bianca Pop ◽  
Ștefan Țîțu ◽  
Dragos Nicolae Frățilă ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Central Composite Design ◽  
End Milling ◽  
Milling Process ◽  
Depth Of Cut ◽  
Main Task ◽  
Advantages And Disadvantages ◽  
Optimization Of Cutting Parameters ◽  
Central Composite

For many years, surface has quality received a serious attention due to its influence on various mechanical properties. The main contribution made in this scientific paper is the performance of actual experiments, as well as the experimental processing obtained in order to develop a model for predicting the surface roughness based on the optimization of cutting parameters. The novelty of this paper is brought by the method of obtaining the regression equation of the surface roughness, resulted from a standard end-milling process (standard milling tools, standard milling parameters, recommended by the tool manufacturer, 3 axis CNC machine and standard vice), on aluminum alloy 7136 in temper T76511, through two statistical methods of data analysis. This material is used for the production of extruded parts and is poorly understood for the proposed line of research. This study’s aim is to determine the surface roughness equation obtained by the milling of aluminum alloy 7136 in two ways: using Taguchi′s experimental design once and the other, using the central composite design. The Taguchi method and the central composite design are used to develop an efficient mathematical model to predict the optimal level of certain processing parameters. Using ANOVA analysis, a comparative study of calculated and experimental surface roughness values is carried out. The initial characteristics (surface roughness) and the controlled factors (cutting speed, depth of cut and feed) are analyzed with the Minitab program. Finally, an analysis of the advantages and disadvantages of the two methods used is presented. This study has a great industrial application, since the main task of every manufacturer is to achieve a better quality of the final product with minimal processing time.

scholarly journals Using uniform design and regression methodology of turning parameters study of nickel alloy

2021 ◽  
Author(s):  
Shao-Hsien Chen ◽  
Chih-Hung Hsu
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Nickel Alloy ◽  
Design Methodology ◽  
Cutting Tool ◽  
Uniform Design ◽  
Machining Time ◽  
Variable Parameters ◽  
Cutting Test ◽  
Set Up

AbstractThe nickel alloy has good mechanical strength and corrosion resistance at high temperature; it is extensively used in aerospace and biomedical and energy industries, as well as alloy designs of different chemical compositions to achieve different mechanical properties. However, for high mechanical strength, low thermal conductivity, and surface hardening property, the nickel alloy has worse cutting tool life and machining efficiency than general materials. Therefore, how to select the optimum machining parameters will influence the workpiece quality, cost, and machining time. This research will be using a new experimental design methodology to the cutting parameter planning for nickel-based alloy cutting test, and used the uniform design methodology to cutting test to reduce the number of experiments. Three independent variable parameters are set up, including cutting speed, feed rate, and cutting depth, and four dependent variable parameters are set up, including cutting tool wear, surface roughness, machining time, and cutting force. A nickel alloy turning parameter model is built by using regression analysis to further predict the I/O relationship among various combinations of variables. The errors between actual values and prediction values are validated. When the cutting tool wear (VB) is 2.72~6.18%, the surface roughness (Ra) is 4.10~7.72%, the machining time (T) is 3.75~8.82%, and the cutting force (N) is 1.54~7.42%; the errors of various dependent variables are approximately less than 10%, so a high precision estimation model is obtained through a few experiments of uniform design method.

scholarly journals Optimization of Blanching Process of hawthorn using central composite design and response surface method

2021 ◽  
Vol 632 ◽  
pp. 032001
Author(s):  
Hanyuan Cui ◽  
Zhaowei Song ◽  
Yue Zhang ◽  
Xiaoming Chen ◽  
Zhijun Zhang ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Response Surface ◽  
Response Surface Method ◽  
Surface Method ◽  
Central Composite

Optimization for ultra high pressure extraction of Scutellaria barbata by central composite design-response surface methodology

2011 ◽  
Vol 10 (65) ◽  
pp. 14637-14643 ◽  
Author(s):  
Zhang Sheng tan ◽  
Wang Zhao yu ◽  
Cheng Guo hua ◽  
Wang Tie shan ◽  
Ni Zheng ◽  
...  
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Scutellaria Barbata ◽  
Ultra High Pressure ◽  
Pressure Extraction ◽  
Central Composite
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