International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 01, January 2019, pp. 984-992, Article ID: IJMET_10_01_101 Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=1 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed OPTIMIZATION OF CO2 LASER CUTTING PARAMETERS ON AUSTENITE STAINLESS STEEL USING GREY RELATIONAL ANALYSIS A. Parthiban* School of Engineering, Vels Institute of Science, Technology and Advanced Studies. Chennai, India. T. Sathish Department of Mechanical Engineering, St. Peter’s Institute of Higher Education and Research, Avadi, Chennai, India. S. Siva Chandran Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, India. R. Venkatesh Department of Mechanical Engineering, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. V. Vijayan Department of Mechanical Engineering, K.Ramakrishnan College of Technology Samayapuram, Trichy, Tamilnadu, India. *Corresponding Author ABSTRACT The CO2 laser cutting is very popular for sheet metal fabrication industries because of very accurately cutting of assembly components. So that this work concentrate about to CO2 laser cutting of austenite type stainless steel material, the Laser beam power, Cutting speed and gas pressure are very significant cutting parameter for to cut quality surface. In this work to optimize the CO2 laser cutting parameter for to cutting of Austenite stainless steel material for 3mm thickness the responses are Top kerf width and bottom kerf width are considered, Grey relay analysis method used in this work for to find out the optimized parameters for CO2 laser cutting. The output of the result laser beam power are predominate parameters to affect the quality of cut Keywords: Laser, CO2, GRA. http://www.iaeme.com/IJMET/index.asp 984 editor@iaeme.com A. Parthiban, T. Sathish, S. Siva Chandran, R. Venkatesh and V. Vijayan Cite this Article: A. Parthiban, T. Sathish, S. Siva Chandran, R. Venkatesh and V. Vijayan , Optimization of Co2 Laser Cutting Parameters on Austenite Stainless Steel using Grey Relational Analysis, International Journal of Mechanical Engineering and Technology, 10(01), 2019, pp. 984-992. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=1 1. INTRODUCTION Laser cutting is very advanced cutting for complicated shapes, also high speed cutting. So that the accuracy of cut edge are concentrate because of cutting quality are very essential [1]. The cutting parameters are very important to consider for affect the quality of cut for all types of material [2]. The various optimization technique are used to found the best cutting parameters, Grey relay analysis is one of the best multi objective optimization techniques to found the cutting parameters[3]. In that view many researchers are concentrating about to develop mathematical models for predicting accurate experimental values [4, 5]. The laser power, cutting speed and gas pressure to investigated with Taguchi methodology and as a result the minimum of kerf dimensions was achieved with L27 orthogonal array [6, 7]. in this experimental design to utilize maximum experimental run for making relationship with higher costly, many researchers only develop the empirical models with other experimental designs such as central composite and Box Behnken designs for reducing the experimental run and cost. In laser cutting process consumes high cost for carrying out the production. In response the design of experiment concepts were utilized by some of the researchers to reduce the experimental run and cost and avoid the trial and error cost expenditure [8]. So this work tries the Box-Behnken design for conducting the experiments and also grey relay analysis method by using to found the optimized laser cutting parameters. 2. EXPERIMENTAL PROCEDURE he experiments are conducted for AMADA make CO2 Laser cutting machine as shown in figure.1 The work piece are considered for this work is AISI 316 L austenite type Stainless steel 3mm thickness sheet the cutting profiles are shown in Figure.2 [8]. And also significant parameters are considered for Laser beam power, cutting speed and gas pressure. The experimental run for conducting the experiments the RSM Design was used and 29 experimental runs were carried out [9]. The ranges of input parameters are beam power (2700, 3450, 4200 Watts), Cutting Speed (3500, 4400, 5300 mm/min) and Gas pressure (0.7, 0.8 0.9 Mpa). The collected experimental data were given in table 1. Figure.1. CO2 laser cutting machine http://www.iaeme.com/IJMET/index.asp 985 Figure.2. Cutting Profile editor@iaeme.com Optimization of CO2 laser cutting parameters on Austenite stainless steel using grey relational analysis Table 1 Experimental Result S.No Beam Power (Watts) Cutting Speed (mm/min) Gas pressure (Mpa) Top kerf width (mm) Bottom Kerf Width (mm) 1 2700 3500 0.8 0.4299 0.3601 2 2700 5300 0.8 0.4429 0.3681 3 4200 5300 0.8 0.4509 0.3801 4 3450 4400 0.8 0.4599 0.3901 5 3450 3500 0.8 0.4999 0.4301 6 4200 4400 0.8 0.3539 0.3181 7 3450 4400 0.8 0.4599 0.3821 8 3450 5300 0.8 0.3619 0.3211 9 3450 4400 0.8 0.4279 0.4001 10 3450 3500 0.7 0.4599 0.3881 11 3450 4400 0.8 0.4499 0.3781 12 3450 3500 0.8 0.3819 0.3781 13 3450 5300 0.9 0.4399 0.3641 14 3450 4400 0.7 0.3719 0.3301 15 2700 4400 0.8 0.4979 0.4201 16 3450 4400 0.7 0.4719 0.3971 17 3450 4400 0.9 0.5099 0.4311 18 3450 3500 0.9 0.4539 0.3941 19 2700 4400 0.9 0.4499 0.3821 20 3450 4400 0.9 0.3919 0.3421 21 2700 4400 0.8 0.4059 0.3521 22 4200 4400 0.8 0.4919 0.4181 23 4200 4400 0.9 0.4609 0.3911 24 3450 5300 0.8 0.4799 0.4101 25 4200 4400 0.7 0.4199 0.3701 26 4200 3500 0.8 0.4409 0.3821 27 2700 4400 0.7 0.4429 0.3721 28 3450 4400 0.8 0.4539 0.3741 29 3450 5300 0.7 0.4649 0.3971 http://www.iaeme.com/IJMET/index.asp 986 editor@iaeme.com A. Parthiban, T. Sathish, S. Siva Chandran, R. Venkatesh and V. Vijayan 3. RESULT AND DISCUSSION 3.1. Effect of Top kerf width and Bottom Kerf Width The figure.3 shows the top kerf width is low (range from 0.420 to 0.440 mm) at entry level of the Beam power (2300-2500 watts) while high level of Cutting speed (5000-5500 mm/min). Top kerf width is gradually increased with respect to increase the Beam power and cutting speed. The top kerf width is maximum (0.455 mm) at the high level of beam power (35004200 watts). And initially the top kerf width is low range from (0.450 to 0.475 mm) at mid-level of the Beam power (4000-4200 watts) while low level of gas pressure (0.70-0.75 Mpa). top kerf width is gradually increased with respect to increase the Beam power and Gas pressure. Top kerf width is maximum (0.475 mm) at the high level of beam power (4000-4200 watts).and also suggests, at constant Cutting speed of 5000 mm/min for increasing gas pressure the bottom kerf width increases towards the mid-point and then starts decreases towards the end point. At constant gas pressure of 0.9 Mpa for increasing cutting speed the bottom kerf width increases. At maximum cutting speed and gas pressure the bottom kerf width is minimum. At maximum cutting speed and gas pressure the bottom kerf width is minimum Figure.3. response surface graph for Top and Bottom Kerf width http://www.iaeme.com/IJMET/index.asp 987 editor@iaeme.com Optimization of CO2 laser cutting parameters on Austenite stainless steel using grey relational analysis 3.2. Procedures for Grey relay analysis The grey relay analysis for CO2 laser cutting of AISI 316L stainless steel sheet procedures are follows the equations standardization equations 1 and 2 are used for to find out the values [10]. xi (k ) = xi (k ) − min xi (k ) max xi (k ) − min xi (k ) (1). The first standardized formula is suitable for the benefit – type factor. xi (k ) = max xi (k ) − xi (k ) max xi (k ) − min xi (k ) (2). The grey relation grade is to be calculated by using this following equations 3,4,and 5 [11]. ∆xi ( k ) = x0 ( k ) − xi ( k ) x i (k ) = (3), ∆ min + p∆ max ∆xi (k ) + p∆ max (4), ri = ∑ [w( k )ξ ( k )] (5). In equation (5), ξ is the Grey relational coefficient, w (k) is the proportion of the number k influence factor to the total influence indicators. The sum of w (k) is 100%. The result can be obtained when using the table.2 shows the grey relay analysis procedures can be applied to measure the quality of the CO2 laser cutting of Austenite materials for AISI 316[12]. http://www.iaeme.com/IJMET/index.asp 988 editor@iaeme.com A. Parthiban, T. Sathish, S. Siva Chandran, R. Venkatesh and V. Vijayan Table 2 Grey Relational Grade and Grey Relational Rank S.No Normal TK Normal BK DS Top Kerf Width DS Bottom Kerf Width GRC Top Kerf width GRC Bottom Kerf width Grey grade Rank 1 0.5128 0.6283 0.4872 0.3717 0.5065 0.5736 0.5400 7 2 0.4295 0.5575 0.5705 0.4425 0.4671 0.5305 0.4988 10 3 0.3782 0.4513 0.6218 0.5487 0.4457 0.4768 0.4613 15 4 0.3205 0.3628 0.6795 0.6372 0.4239 0.4397 0.4318 21 5 0.0641 0.0088 0.9359 0.9912 0.3482 0.3353 0.3418 28 6 1.0000 1.0000 0.0000 0.0000 1.0000 1.0000 1.0000 1 7 0.3205 0.4336 0.6795 0.5664 0.4239 0.4689 0.4464 18 8 0.9487 0.9735 0.0513 0.0265 0.9070 0.9496 0.9283 2 9 0.5256 0.2743 0.4744 0.7257 0.5132 0.4079 0.4606 16 10 0.3205 0.3805 0.6795 0.6195 0.4239 0.4466 0.4353 19 11 0.3846 0.4690 0.6154 0.5310 0.4483 0.4850 0.4666 14 12 0.8205 0.4690 0.1795 0.5310 0.7358 0.4850 0.6104 6 13 0.4487 0.5929 0.5513 0.4071 0.4756 0.5512 0.5134 9 14 0.8846 0.8938 0.1154 0.1062 0.8125 0.8248 0.8187 3 15 0.0769 0.0973 0.9231 0.9027 0.3514 0.3565 0.3539 27 16 0.2436 0.3009 0.7564 0.6991 0.3980 0.4170 0.4075 24 17 0.0000 0.0000 1.0000 1.0000 0.3333 0.3333 0.3333 29 18 0.3590 0.3274 0.6410 0.6726 0.4382 0.4264 0.4323 20 19 0.3846 0.4336 0.6154 0.5664 0.4483 0.4689 0.4586 17 20 0.7564 0.7876 0.2436 0.2124 0.6724 0.7019 0.6871 4 21 0.6667 0.6991 0.3333 0.3009 0.6000 0.6243 0.6122 5 22 0.1154 0.1150 0.8846 0.8850 0.3611 0.3610 0.3611 26 23 0.3141 0.3540 0.6859 0.6460 0.4216 0.4363 0.4290 22 24 0.1923 0.1858 0.8077 0.8142 0.3824 0.3805 0.3814 25 25 0.5769 0.5398 0.4231 0.4602 0.5417 0.5207 0.5312 8 26 0.4423 0.4336 0.5577 0.5664 0.4727 0.4689 0.4708 12 27 0.4295 0.5221 0.5705 0.4779 0.4671 0.5113 0.4892 11 28 0.3590 0.5044 0.6410 0.4956 0.4382 0.5022 0.4702 13 29 0.2885 0.3009 0.7115 0.6991 0.4127 0.4170 0.4148 23 http://www.iaeme.com/IJMET/index.asp 989 editor@iaeme.com Optimization of CO2 laser cutting parameters on Austenite stainless steel using grey relational analysis Table 3 ANOVA Table for Grey relational grade Source Sum of Squares df Mean Square F Value Prob > F Model 0.0278 6 0.0046 0.1417 0.9889 A 0.0035 1 0.0035 0.1068 0.7469 B 0.0061 1 0.0061 0.1864 0.6702 C 0.0075 1 0.0075 0.2283 0.6375 AB 0.0003 1 0.0003 0.0077 0.9309 AC 0.0013 1 0.0013 0.0392 0.8448 BC 0.0026 1 0.0026 0.0788 0.7815 Residual 0.7193 22 0.0327 Lack of Fit 0.1481 12 0.0123 0.2161 0.9926 Pure Error 0.5712 10 0.0571 Cor Total 0.7471 28 The table 3. "Model F-value" of 0.14 implies the model is not significant relative to the noise. There 98.89 % chance that a "Model F-value" this large could occur due to noise.Values of "Prob > F" less than 0.0500 indicate model terms are significant.In this case there are no significant model terms.Values greater than 0.1000 indicate the model terms are not significant. The optimal condition for CO2 laser cutting parameters are laser power 4200 watts, Cutting speed 4400 mm/min and 0.8 Mpa. From the surface roughness graph of the GRG .it can be seen that when laser power decrease from and there is a decrease in the top and bottom kerf width. CONCLUSION In this work stainless steel sheet AISI 304 as specimen with CO2 laser cutting processes are considered. The following conclusions were made based on the experimental and theoretical work. The experimental design developed using the box-behnken method. 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