Research on Surface Roughness of Superalloy Thin-Walled Parts with Electrical Discharge Grinding Based on Orthogonal Test

2012 ◽  
Vol 198-199 ◽  
pp. 202-206 ◽  
Author(s):  
Ji Gao ◽  
Qing Yang Liu ◽  
Xiao Fang Ma
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Regression Analysis ◽  
Electrical Discharge ◽  
Theoretical Basis ◽  
Orthogonal Design ◽  
Orthogonal Test ◽  
Regression Equation ◽  
Technical Problems ◽  
Thin Walled

By analyzing the processing principle of honeycomb ring with electrical discharge grinding (EDG), using method of orthogonal design to conduct the test and establishing mathematical model of regression equation with surface roughness through EDG. Comprehensive consideration of the various factors exist during processing process, derived out the more accurate experience formula of surface roughness on superalloy GH536 by EDG and obtained the higher significant level of regression equation by regression analysis. Results of test provide theoretical basis for the practical production in processing superalloy thin-walled parts by EDG and have a better guiding significance to solve the actual technical problems of process.

Experimental Study on GH3536 Surface Discharge Mark Diameter of EDG

2013 ◽  
Vol 664 ◽  
pp. 817-820 ◽  
Author(s):  
Ji Gao ◽  
Di Wang ◽  
Yao Sun
Keyword(s):  
Mathematical Model ◽  
Experimental Study ◽  
Empirical Formula ◽  
Pulse Width ◽  
Orthogonal Test ◽  
Regression Equation ◽  
Surface Discharge ◽  
Test Analysis ◽  
Peak Current ◽  
The Impact

This article using the method of orthogonal test analysis the law of honeycomb ring part in aero-engineer surface discharge mark diameter by EDG. In the impulse voltage under certain conditions,by changing the peak current and pulse width in the interelectrode study both of the impact of the largest diameter of GH3536 surface discharge mark, and build a mathematical model of the regression equation, derive relatively accurate empirical formula. Provide a good reference and guidance for the actual production of the EDG.

Experimental Study on the Surface Roughness in Mesoscopic-Scale Grinding of Nickel-Based Superalloy

2016 ◽  
Vol 1136 ◽  
pp. 9-14
Author(s):  
Yun Guang Zhou ◽  
Ya Dong Gong ◽  
Yang Sun ◽  
Zhong Xiao Zhu ◽  
Qi Gao
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Feed Rate ◽  
Theoretical Basis ◽  
Spindle Speed ◽  
Range Analysis ◽  
Mesoscopic Scale ◽  
Nickel Based Superalloy ◽  
Grinding Parameters ◽  
Grinding Tool

This paper uses micro-grinding tool with 500# grains and 0.9 mm diameter to grind nickel-based superalloy Inconel600 through three factors(grinding depth, feed rate, spindle speed ) at three levels orthogonal grinding experiment in mesoscopic scale. Then according to the range analysis of surface roughness, the primary and secondary influencial factors are found; the micro grinding parameters are optimized ,the results show: the influence of the feed rate(vf)is the biggest, followed by the spindle speed(n), the grinding depth(ap) is minimal, when n=50kr/min, vf=100μm/s, ap=6μm, the grinding surface roughness is minimum: Ra=579nm; finally , the regression mathematical model of micro grinding surface roughness is established, the relative error of the calculated value and experimental measurements is low, showing that this regression mathematical model is accurate and effective. This study provides a theoretical basis for the micro grinding parameters and surface quality control of nickel-based superally.

Mathematical Model of Attaching Sleeve Based on the Change of Underarm Point

2011 ◽  
Vol 331 ◽  
pp. 611-615
Author(s):  
Yong Mei Liu ◽  
Lu Zhang ◽  
Gan Hong Feng
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Three Dimensional ◽  
Morphological Characteristics ◽  
Horizontal Displacement ◽  
Regression Equation ◽  
Factors Affecting ◽  
Three Dimensional Configuration ◽  
Method Of Correlation

Armhole is a base part of the sleeve. The sleeve morphological characteristics affect the construction and shape of sleeve. The underarm point is one of key restraining factors affecting armhole’s three-dimensional configuration. The experiments of armhole’s three-dimensional configuration and attaching sleeve experiments were designed according to the changes of the vertical and horizontal displacement of underarm point. The regression equation is established through the method of correlation analysis and regression analysis.

scholarly journals Surface Roughness Prediction Model for Machining O1 Die Steel Through EDM

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Jai Prakash ◽  
Ashish Agarwal ◽  
Vipin
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Current Pulse ◽  
Process Parameters ◽  
Design Method ◽  
Orthogonal Design ◽  
Die Steel ◽  
Orthogonal Design Method ◽  
Roughness Prediction ◽  
Taguchi Orthogonal Design

The objective of this paper is to generate a mathematical model in order to minimize the value of surface roughness (Ra) through EDM by constructing an objective function consisting of combination of process parameters. Taguchi orthogonal design method of experiments with three process parameters viz., current, pulse-on-rate, pulse-off-rate were used to generate 25 numbers of experiments L25 at five levels. Experiments were carried out in Electronica S50 (CNC) EDM. Data obtained for performance measurement was subjected regression analysis using ANOVA. Equation was obtained for the surface roughness as a function of current, pulse-on rate, pulse-off-rate.It is found that discharge current, pulse-on-rate, and pulse-off-rate have significant effect on the Ra. Higher values of current and pulse-on-rate increased surface roughness. Lower current, lower pulse-on-rate and relatively higher pulse-off-rate produced a better surface finish.

scholarly journals CORRELATION-REGRESSION ANALYSIS OF THE COMPETITIVENESS OF ENTERPRISE PRODUCTS

2020 ◽  
Vol 10 (86) ◽  
Author(s):  
Volodymyr Ulanchuk ◽  
◽  
Olena Zharun ◽  
Serhiy Sokolyuk ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Correlation Equation ◽  
Regression Equation ◽  
Short Term ◽  
Flexible Tool ◽  
Proposed Model ◽  
Using Data ◽  
Short Term Forecasting ◽  
The Impact

The economic purpose of correlation-regression analysis is to determine the possible options for product competitiveness management, as well as an assessment of possible ways to achieve the desired result. The developed model can be used to improve planning and increase the level of product competitiveness. The forecast of results, though for the short term, gives the chance to learn about the prospects of obtaining the appropriate level of competitiveness of products in accordance with the degree of application of the impact on it. The forecast is dynamic and adapts to changes based on the latest data. The proposed model can be integrated into the existing decision support system to increase the competitiveness of products. In addition, correlation-regression analysis makes it possible to estimate the current situation using a regression equation. The mathematical reflection of the study of product competitiveness is the economic-mathematical model, which determines its functioning and assessment of changes in its effectiveness in the event of possible changes in the characteristics of economic activity. The parameters of economic models are estimated using the methods of mathematical statistics according to real statistical information. The task of correlation-regression analysis is to construct and analysis of the economic-mathematical model of the regression equation (correlation equation, which reflects the dependence of the resultant feature on several factor features and gives an estimate of the degree of connection density. Using data on the magnitude and direction of action of the analyzed factors, you can get the data that can be obtained to assess the relevant impact on the current level of product competitiveness. That is, such an analysis is a powerful and flexible tool for studying the relationships between product competitiveness indicators. The use of this method makes it possible to better understanding of the level of influence of factors on the competitiveness of products, and, accordingly, learn to manage the processes that take place, as well as more accurately predict their further interaction. These studies are important for the formation and implementation of management decisions to increase the competitiveness of products, because it narrows the choice of indicators with the greatest impact on its level. The ability to determine short-term forecasting of such impacts makes it possible to determine regional perspectives under the conditions of implemented measures.

Economic and Mathematical Modeling of Russia’s Economic Security in the Period Under Sanctions

2020 ◽  
Vol 152 ◽  
pp. 32-39
Author(s):  
Galina I. Smirnova ◽  
◽  
Maria E. Listopad ◽  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Regression Analysis ◽  
Russian Federation ◽  
Statistical Significance ◽  
Economic Security ◽  
Regression Equation ◽  
Correlation And Regression Analysis ◽  
Time Period ◽  
The Russian Federation

For the study, the time period of introducing economic sanctions against the Russian Federation was selected. In consideration are taken the data of Rosstat in terms of finding the values of indicators of our state’s economic security (2013–2017). A correlation and regression analysis of this system, consisting of 15 indicators, was carried out. An economic-mathematical model of the sanctions impact on the economic security of Russia was compiled. To solve this problem, the authors used a correlation-regression analysis, the regression equation was found and statistical significance of the constructed model was substantiated. The findings were recommended to specialists in the sphere of improving the state’s economic security.

Research of Classification Technology of Cashew Nuts

2013 ◽  
Vol 331 ◽  
pp. 612-616
Author(s):  
Lin Zhang ◽  
Qi Zhi Zhang ◽  
Chang Qin Yi
Keyword(s):  
Regression Analysis ◽  
Structural Design ◽  
Theoretical Basis ◽  
Orthogonal Test ◽  
Optimum Operating ◽  
Operating Parameters ◽  
Design And Optimization ◽  
Universal Formula ◽  
Main Factors ◽  
Spss Software

Cashew classification technology is tested by the method of orthogonal test in this paper, and it found the main factors, the trend and the optimum operating parameters of cashew classification by observing three factors of the sieve length, drum speed and the number of turns which influenced mixed-level rate and classification efficiency. We did regression analysis of test data by using SPSS software, and got the universal formula of cashews samples grading for cashews samples. The paper provided theoretical basis for the structural design and optimization of the operating parameters of the cashew grading machine.

Study of Factors Effecting Surface Roughness and Tool Tip Temperature in Step Turning Using Factorial Technique

2015 ◽  
Vol 15 (4) ◽  
pp. 319-326
Author(s):  
Kondapalli Siva Prasad
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Regression Analysis ◽  
Process Parameters ◽  
Depth Of Cut ◽  
Turning Process ◽  
Nose Radius ◽  
Five Factors ◽  
The Mathematical Model ◽  
Anova Technique

AbstractThe paper focuses on the effect of various process parameters like spindle speed, feed, depth of cut, nose radius and machining condition on the Tool tip temperature and surface roughness in step turning process is investigated by using Factorial Technique. Five factors- Two levels are used and total 32 experiments are performed. The coefficients are calculated by using regression analysis and the model is constructed. The adequacy of the developed model is checked using Analysis of Variance (ANOVA) technique. By using the mathematical model the main and interaction effect of various process parameters on tool tip temperature and surface roughness are studied.

scholarly journals Areal Surface Roughness of AZ31B Magnesium Alloy Processed by Dry Face Turning: An Experimental Framework Combined with Regression Analysis

Materials ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2303 ◽  
Author(s):  
Honghong Gao ◽  
Baoji Ma ◽  
Ravi Pratap Singh ◽  
Heng Yang
Keyword(s):  
Surface Roughness ◽  
Regression Analysis ◽  
Regression Model ◽  
Feed Rate ◽  
Orthogonal Design ◽  
Cutting Speed ◽  
Direct Analysis ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Areal Surface

Surface roughness is used to quantitatively evaluate the surface topography of the workpiece subjected to mechanical processing. The optimal machining parameters are critical to getting designed surface roughness. The effects of cutting speed, feed rate, and depth of cut on the areal surface roughness of AZ31B Mg alloys were investigated via experiments combined with regression analysis. An orthogonal design was adopted to process the dry turning experiment of the front end face of the AZ31B bar. The areal surface roughness Sa and Sz of the end face were measured with an interferometer and analyzed through direct analysis and variance analysis (ANOVA). Then, an empirical model was established to predict the value of Sa through multiple regression analysis. Finally, a verification experiment was carried out to confirm the optimal combination of parameters for the minimum Sa and Sz, as well as the availability of the regression model for predicting Sa. The results show that both Sa and Sz of the machined end face reduce with the decrease in feed rate. The minimum of Sa and Sz reaches to 0.577 and 5.480 µm, respectively, with the cutting speed of 85 m/min, the feed rate of 0.05 mm/rev, and a depth of cut of 0.3 mm. The feed rate, depth of cut, and cutting speed contribute the greatest, the second and the smallest to Sa, respectively. The linear regression model can predict Sa of AZ31B machined with dry face turning, since the cutting speed, feed rate and depth of cut can explain 97.5% of the variation of Sa.

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