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.

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.

An Investigation on Machining Power of EN-AC 48000 Aluminum Alloy Used in Automotive and Aerospace Industries

2009 ◽  
Vol 83-86 ◽  
pp. 704-710 ◽  
Author(s):  
H. Shahali ◽  
Hamid Zarepour ◽  
Esmaeil Soltani
Keyword(s):  
Signal To Noise Ratio ◽  
Cutting Tools ◽  
Tool Material ◽  
Polycrystalline Diamond ◽  
Dimensional Accuracy ◽  
Machining Parameters ◽  
Anova Analysis ◽  
Essential Parameter ◽  
Cutting Velocity ◽  
Coated Carbide

In this paper, the effect of machining parameters including cutting velocity, feed rate, and tool material on machining power of EN-AC 48000 aluminium alloy has been studied. A L27 Taguchi's standard orthogonal array has been applied as experimental design to investigate the effect of the factors and their interaction. Twenty seven machining tests have been accomplished with two random repetitions, resulting in fifty four experiments. EN-AC 48000 is an important alloy in automotive and aerospace industries. Machining of this alloy is of vital importance due to build-up edge and tool wear. Machining power is an essential parameter affecting the tool life, dimensional accuracy, and cutting efficiency. Three types of cutting tools including coated carbide (CD 1810), uncoated carbide (H10), and polycrystalline diamond (CD10) have been used in this study. Statistical analysis has been employed to study the effect of factors and their interactions using ANOVA analysis. Moreover, optimal factor levels have been presented using signal to noise ratio (S/N) analysis. Also, regression model have been provided to predict the machining power. Finally, the results of confirmation tests have been presented to verify and compare the adequacy of the predictive models.

Optimization of Multistage Machining Systems, Part 1: Mathematical Solution

1992 ◽  
Vol 114 (4) ◽  
pp. 524-531 ◽  
Author(s):  
J. S. Agapiou
Keyword(s):  
Optimization Problem ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Idle Time ◽  
Optimization Techniques ◽  
Machining Parameters ◽  
Machining Time ◽  
Physical Constraints ◽  
Time Requirements ◽  
The Cost

The optimization problem for multistage machining systems has been investigated. Due to uneven time requirements at different stages in manufacturing, there could be idle times at various stations. It may be advantageous to reduce the values of machining parameters in order to reduce the cost at stations that require less machining time. However, optimization techniques available through the literature do not effectively utilize the idle time for the different stations generated during the balancing of the system. Proposed in this paper is an optimization method which utilizes the idle time to the full extent at all machining stations, with the intention of improving tool life and thus achieving cost reduction. The mathematical analysis considers the optimization of the production cost with an equality constraint of zero idle time for the stations with idle time. Physical constraints regarding the cutting parameters, force, power, surface finish, etc., as they arise in different operations, are also considered. The aforementioned problem has been theoretically analyzed and a computational algorithm developed. The advantages and effectiveness of the proposed approach are finally established through an example.

Study on Tool Life and Tool Wear Mechanisms in Dry Cutting Pure Iron

2013 ◽  
Vol 770 ◽  
pp. 74-77 ◽  
Author(s):  
Jin Xing Kong ◽  
Liang Li ◽  
Dong Ming Xu ◽  
Ning He
Keyword(s):  
Tool Wear ◽  
Tool Life ◽  
Wear Mechanisms ◽  
Pure Iron ◽  
Cutting Tools ◽  
Cutting Parameters ◽  
Cutting Condition ◽  
High Plasticity ◽  
Dry Cutting ◽  
Tool Wear Mechanisms

Pure iron is a kind of high plasticity and toughness material. In the process of cutting pure iron, the tool wear is very serious. In this paper, three kinds of cutting tools KC5010, K313 and 1105 are used in the cutting pure iron process and the tool wear tests in dry cutting condition with different cutting parameters have been carried out. According to the results, the tool wear mechanisms and tool life of three kinds of cutting tools have been compared and analyzed. It is concluded that the tool life of K313 is better than KC5010 and 1105 and the three kinds of tool mechanisms are primarily adhesion wear, diffusion wear and oxidation wear.

Experimental Study on Nano-TiAlN Coated Carbide Tools in Turning Austenitic Stainless Steel

2012 ◽  
Vol 723 ◽  
pp. 247-251
Author(s):  
Hai Dong Yang ◽  
Zhi Ding
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Tool Life ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Dry Cutting ◽  
Processing Efficiency ◽  
Machined Surface ◽  
Tool Wear Mechanism ◽  
Coated Carbide

Austenitic stainless steel has poor cutting performance, especially when the inappropriate choice of tool materials and cutting parameters, cutting tool life will be shortened and the quality of machined surface is poor. In this paper, 0Cr18Ni9 stainless steel dry cutting tests had been done with nano-TiAlN coated carbide blade YGB202, the relationship between tool life and cutting speed, tool wear mechanism had been analyzed. In order to improve the processing efficiency and tool life, process parameters were optimized.

Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools

2015 ◽  
Vol 231 (4) ◽  
pp. 676-683 ◽  
Author(s):  
Rusdi Nur ◽  
MY Noordin ◽  
S Izman ◽  
D Kurniawan
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Power Consumption ◽  
Cutting Force ◽  
Tool Life ◽  
Cutting Speed ◽  
Cutting Fluid ◽  
Machining Parameters ◽  
Aisi 316L ◽  
Coated Carbide

Austenitic stainless steel AISI 316L is used in many applications, including chemical industry, nuclear power plants, and medical devices, because of its high mechanical properties and corrosion resistance. Machinability study on the stainless steel is of interest. Toward sustainable manufacturing, this study also includes the power consumption during machining along with other machining responses of cutting force, surface roughness, and tool life. Turning on the stainless steel was performed using coated carbide tool without using cutting fluid. The turning was performed at various cutting speeds (90, 150, and 210 m/min) and feeds (0.10, 0.16, and 0.22 mm/rev). Response surface methodology was adopted in designing the experiments to quantify the effect of cutting speed and feed on the machining responses. It was found that cutting speed was proportional to power consumption and was inversely proportional to tool life, and showed no significant effect on the cutting force and the surface roughness. Feed was proportional to cutting force, power consumption, and surface roughness and was inversely proportional to tool life. Empirical equations developed from the results for all machining responses were shown to be useful in determining the optimum cutting parameters range.

Influence of Cutting Parameters on Surface Morphology of Austenitic Stainless Steel after Turning

2014 ◽  
Vol 657 ◽  
pp. 23-27
Author(s):  
M. Grzegorz Krolczyk ◽  
Stanisław Legutko ◽  
W. Radoslaw Maruda
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Surface Morphology ◽  
Stainless Steels ◽  
Austenitic Stainless Steels ◽  
Cutting Parameters ◽  
Geometrical Parameters ◽  
Turning Process ◽  
Deep Well ◽  
Coated Carbide

The study presents the contribution in engineering of surfaces particularly in surface morphology of Austenitic Stainless Steels. The objective of the investigation was to determine the surface morphology of austenitic stainless steel after turning with coated carbide tool point. The investigation included geometrical parameters of SI for different cutting parameters in dry turning process of austenitic stainless steel. The study has been performed within a production facility during the production of electric motor parts and deep-well pumps.

Optimization of Machining Parameters of Valve Steel SUH03 (X45CrSiMo10-2) Using Gray Based Taguchi Method

2015 ◽  
Vol 813-814 ◽  
pp. 376-381 ◽  
Author(s):  
B. Yazhini ◽  
S. Rajeswari ◽  
Sivasakthivel
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Signal To Noise Ratio ◽  
Cutting Parameters ◽  
Gray Relational Analysis ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Nose Radius ◽  
Valve Steel ◽  
Optimal Cutting Parameters

This paper embarks the machining parameters of Turning by optimization using Taguchi’s approach. The optimization is very essential in order to obtain the expected surface quality. The results of cutting parameters of optimization is seen in the Surface Roughness, Tool wear and MRR of the material. The L18 Orthogonal array has been chosen for the optimization of Valve Steel SUH03.The uncoated carbide inserts were used and the four parameters Speed, Feed, Depth of Cut and Nose Radius has been taken as input parameters. The Signal to Noise ratio and Analysis of Variance software has been analyzed using Minitab software through which the optimal cutting parameters of the best surface roughness, tool wear and MRR has been obtained. The final results have been compared by the Gray relational analysis to find the optimum machining conditions of all the parameters.

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).

Application of Desirability Function Analysis and Utility Concept for Selection of Optimum Cutting Parameters in Turning Operation

2016 ◽  
Vol 15 (01) ◽  
pp. 1-11 ◽  
Author(s):  
B. Singaravel ◽  
T. Selvaraj
Keyword(s):  
Function Analysis ◽  
Removal Rate ◽  
Desirability Function ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Relative Significance ◽  
Utility Concept ◽  
Coated Carbide ◽  
Desirability Function Analysis ◽  
Selection Of

Multi-objective optimization method is used to simultaneously maximize and minimize the various criteria involved in complex industrial problems. In the present work, the optimum combination of cutting parameters is estimated in the turning of EN25 steel with coated carbide tools by performing desirability function analysis and utility concept. The experiments were designed as per L18 Taguchi mixed level orthogonal array with each trial performed under different conditions. These methods are employed for minimization of cutting force, surface roughness and maximization of material removal rate. The optimized results are compared and utility concept gave good combination of input and output parameters. Finally, Analysis of Variance (ANOVA) on overall desirability and utility value was employed to identify the relative significance of factors in terms of their percentage contribution to the responses.

Sign in / Sign up

Export Citation Format

Share Document