Dynamic Programming Approach in the Optimization of Tool Life in Turning Process of Duplex Stainless Steel DSS

2016 ◽  
Vol 686 ◽  
pp. 143-148 ◽  
Author(s):  
Andrzej Metelski ◽  
Srecko Krile ◽  
Radoslaw W. Maruda ◽  
Stanislaw Legutko ◽  
Grzegorz M. Krolczyk
Keyword(s):  
Dynamic Programming ◽  
Cutting Parameters ◽  
Programming Approach ◽  
Cutting Condition ◽  
Machining Parameters ◽  
Dynamic Programming Approach ◽  
Deep Well ◽  
Optimal Values ◽  
Optimization Of Cutting Parameters ◽  
Coated Carbide

The paper presents the application of dynamic programming for optimization of cutting parameters of Duplex Stainless Steels (DSS). In this work, modified Dijkstra's optimization algorithm is used in order to obtain the optimal values of the technological cutting parameters with coated carbide tool point. ANOVA analysis was performed to determine the significance of machining parameters. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

Taguchi Design of Experiment in the Optimization of Tool Life in Turning Process of Duplex Stainless Steel DSS

2015 ◽  
Vol 809-810 ◽  
pp. 189-194
Author(s):  
Grzegorz Krolczyk ◽  
Andrzej Metelski ◽  
Radoslaw Maruda ◽  
Stanislaw Legutko
Keyword(s):  
Tool Life ◽  
Design Of Experiment ◽  
Signal To Noise Ratio ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Cutting Condition ◽  
Machining Parameters ◽  
Deep Well ◽  
Optimal Values ◽  
Coated Carbide

The paper presents the contribution in methodology of production processes of difficulty to cut materials particularly in optimization method of Duplex Stainless Steels (DSS). In this work, Design of Experiment (DOE) is used to examine turning experimental data. The DOE, based on the Taguchi method with orthogonal array L9 and signal-to-noise ratio are used. The optimal values of the technological cutting parameters with coated carbide tool point are searched. ANOVA analysis was performed to determine the signification of machining parameters. The significance of various cutting parameters on tool life have been proven. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

scholarly journals Modeling and Optimization of Cutting Parameters during Machining of Austenitic Stainless Steel AISI304 Using RSM and Desirability Approach

2020 ◽  
Vol 65 (1) ◽  
pp. 10-26
Author(s):  
Septi Boucherit ◽  
Sofiane Berkani ◽  
Mohamed Athmane Yallese ◽  
Riad Khettabi ◽  
Tarek Mabrouki
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Cutting Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Desirability Approach ◽  
Optimization Of Cutting Parameters ◽  
Coated Carbide

In the current paper, cutting parameters during turning of AISI 304 Austenitic Stainless Steel are studied and optimized using Response Surface Methodology (RSM) and the desirability approach. The cutting tool inserts used in this work were the CVD coated carbide. The cutting speed (vc), the feed rate (f) and the depth of cut (ap) were the main machining parameters considered in this study. The effects of these parameters on the surface roughness (Ra), cutting force (Fc), the specific cutting force (Kc), cutting power (Pc) and the Material Removal Rate (MRR) were analyzed by ANOVA analysis.The results showed that f is the most important parameter that influences Ra with a contribution of 89.69 %, while ap was identified as the most significant parameter (46.46%) influence the Fc followed by f (39.04%). Kc is more influenced by f (38.47%) followed by ap (16.43%) and Vc (7.89%). However, Pc is more influenced by Vc (39.32%) followed by ap (27.50%) and f (23.18%).The Quadratic mathematical models, obtained by the RSM, presenting the evolution of Ra, Fc, Kc and Pc based on (vc, f, and ap) were presented. A comparison between experimental and predicted values presents good agreements with the models found.Optimization of the machining parameters to achieve the maximum MRR and better Ra was carried out by a desirability function. The results showed that the optimal parameters for maximal MRR and best Ra were found as (vc = 350 m/min, f = 0.088 mm/rev, and ap = 0.9 mm).

Taguchi Design of Experiment versus Dynamic Programming Approach in the Optimization of Turning Process

2015 ◽  
Vol 808 ◽  
pp. 66-71 ◽  
Author(s):  
Andrzej Metelski ◽  
Srecko Krile ◽  
Radoslaw W. Maruda ◽  
Stanislaw Legutko ◽  
Grzegorz M. Krolczyk
Keyword(s):  
Dynamic Programming ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Optimization Methods ◽  
Taguchi Design ◽  
Machining Process ◽  
Programming Approach ◽  
Dynamic Programming Approach ◽  
Input Variables

The paper examines the influence of cutting parameters, namely cutting speed and feed rate on the tool life in machining process of cylindrical billets made from a Duplex Stainless Steel (DSS). Two optimization methods is presents, one based on the Taguchi design of the experiment with orthogonal array L9 and signal-to-noise ratio (S/N) and the second based on the dynamic programming approach with modified Dijkstra's algorithm have been used to find optimal levels of the control parameters. ANOVA was performed to determine the significance of the input variables. A predictive mathematical model has been developed through a regression analysis to study the response. The results at optimum cutting conditions are predicted using estimated values. Finally, the features, the merits and the limitations of the presented optimization approaches were discussed.

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