MULTI-RESPONSE OPTIMIZATION OF AISI M42 HSS MATERIAL IN WIRE-CUT EDM USING GREY RELATIONAL ANALYSIS

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1 MULTI-RESPONSE OPTIMIZATION OF AISI M42 HSS MATERIAL IN WIRE-CUT EDM USING GREY RELATIONAL ANALYSIS Jsh Guruprasad R., Research Schlar, Dept. f Mechancal Engg., AMGOI, Klhapur, Maharashtra, Inda A. N. Chapgan, Prfessr and H.O.D., Dept. f Mechancal Engg., AMGOI, Klhapur, Maharashtra, Inda Abstract: Wre Electr-dscharge machnng (WEDM) prcess cnssts f large number f varables. The selectn f ptmal cmbnatn f prcess parameters helps t acheve the ptmal perfrmance but, large number f varables makes t dffcult. WEDM needs the mult-respnse ptmzatn technque t acheve ths. The gal f current research wrk s mult-respnse ptmzatn f AISI M42 HSS materal usng Grey relatnal analyss (GRA) n WEDM. The pulse n tme (Tn), pulse ff tme (Tff) and wre feed rate (Wf) are selected as prcess parameters. The Grey relatnal grade was calculated by adptng fur dfferent weght systems. The study reveals that, the mst sgnfcant factrs fr MRR, SR and kerf wdth are Tn fllwed by Tff. The btaned ptmal cmbnatn fr three weghted GRG s A2-B3-C1.e., wre feed rate 6m/mn, pulse n tme 114µs and pulse ff tme 50µs. At ths level the MRR f mm 3 /mn, SR f 3.29µm and KW f 0.317mm culd be acheved. Fr average GRG, the ptmum cmbnatn s A2-B3-C3..e., (wre feed rate 6m/mn, pulse n tme 114µs and pulse ff tme 56µs). At ths level the MRR f mm 3 /mn, SR f 3.07µm and KW f mm have been acheved. Keywrds: Grey relatnal analyss; Mult respnse ptmzatn; Prcess parameters; Respnse varables; Wre electr-dscharge machnng (WEDM) 1. INTRODUCTION Wre Electr-dscharge machnng (WEDM) s a nn-cntact type electr-thermal nncnventnal machnng prcess. EDM has the capablty f machnng ntrcate features n hard and dffcult-t- cut materal wth hgh dmensnal accuracy, whch has made EDM prcess the mst ppular and an nevtable nn-cnventnal machnng prcess [1]. Wre electr-dscharge machnng (WEDM) r wre-cut EDM utlzes electrcally cnductve wrkpece and tl.e., metal wre (usually brass wre f dameter 0.25mm). Serv-drven Vl. 6 N. 8 August IJAREAS 1

2 system cntrlled by mcrprcessr drves the electrde wth extreme accuracy. Materal remval takes place due t rapd and repettve spark dscharges (mre than thusand tmes per secnd) between wrkpece and tl electrde. Bth EDM and mcr-edm prcesses n recent years were used extensvely n the felds such as muld makng, prductn f des and cavtes [1-2]. Dependng n the gemetry, fr smaller batch szes EDM was fund t be a better chce, whereas fr large scale prductn ECM s mre sutable chce [2]. The WEDM has great scpe fr mprvement n machnng prcesses and equpment t acheve hgher prductvty, accuracy and relablty [2]. U. A. Dabade et al. [3] analyzed Incnel 718 usng Taguch L8 rthgnal array fr materal remval rate (MRR), surface rughness (SR), cuttng wdth (kerf) and dmensnal devatn n WEDM. The result f the study reveals that, pulse-n-tme (Tn) s the mst nfluental factr fr all the respnse varables. It was als bserved that, peak current s sgnfcant fr kerf and dmensnal devatn whereas, serv vltage s sgnfcant fr MRR and SR. Rupesh Chalsgankar et al. [4] nvestgated prcess capablty fr cmmercally pure ttanum n WEDM usng Taguch methd. Hgher pulse n tme releases hgher spark energy whch ncreases the meltng and evapratn f wrk pece materal that leads t hgher MRR. The ncrease n pulse ff tme and spark gap vltage results n lss f effectve pulse dscharge energy. It was als bserved that hgher release f spark energy ncreases sze f craters frmed that leads t ncrease n the SR [3-4]. Feng Yeru et al. [5] examned EDM prcess parameters usng TC/N metal ceramc materal and revealed that, SR and MRR ncreases wth the ncrease f peak current and pulse duratn. J. Deng [6] n 1982 prpsed the Grey system thery als called as Grey relatnal analyss (GRA). The Taguch methd was develped by Gench Taguch n 1970 s. It s the mst mprtant statstcal tl used by ndustry fr sngle utput parameter ptmzatn. In Grey relatnal analyss, mult-respnse prblem s cnverted nt sngle utput parameter prblem by calculatng grade [6-12]. Grey relatnal grade s weghted sum f Grey relatnal ceffcent [7,11]. Shalesh Dewangan et al. [8] appled grey-fuzzy lgc-based hybrd ptmzatn technque t determne the ptmal settngs f EDM fr AISI P20 tl steel t mprve surface ntegrty aspect usng Respnse surface methdlgy (RSM). The result f the study reveals that, pulse n tme s the mst cntrbutng parameter fllwed by peak current. Vkas et al. [9] studed the effect f pulse n tme, pulse ff tme, dscharge Vl. 6 N. 8 August IJAREAS 2

3 current and vltage ver the SR fr an EN41 materal n EDM usng the Grey-Taguch methd. The result f the study reveals that, the current had larger mpact ver the SR value fllwed by the vltage. Amtesh Gswam et al. [10] explaned the effect f prcess parameters n surface ntegrty, MRR and wre wear rat (WWR) fr Nmnc 80A n WEDM usng GRA and Taguch methd. The materal remval rate (MRR) ncreases wth ncrease n pulse n tme, peak current and wre tensn. The Increase n the pulse duratn ncreases the WWR and ncreasng the wre speed decreases t. J. B. Saedn et al. [11] examned the effects f pulse-ff tme, peak current, wre feed and wre tensn n dfferent respnses such as SR, cuttng rate and MRR fr Ttanum ally n WEDM usng Taguch methd and GRA. The result f the study reveals that, pulse ff tme s the mst sgnfcant machnng parameter that affects the multple perfrmance characterstcs, fllwed by peak current, wre feed and wre tensn. Rajesh Purht et al. [12] ptmzed MRR, electrde wear rat (EWR) and ver cut (OC) durng EDM f M2 steel usng GRA wth L9 rthgnal array. The study revealed that, manly electrde rtatn speed affects the utput parameters sgnfcantly fllwed by vltage and pulse n tme. Mst f the researchers nvestgated the effect f a lmted number f prcess parameters n the respnse varables n WEDM. Pulse n tme fllwed by pulse ff tme s sgnfcant fr MRR and SR. Wre feed rate alng wth pulse ff tme affects the Kerf wdth. The effect f machne prcess parameters n AISI M42 HSS materal was nt fully explred usng WEDM wth cnstant current and vltage parameter cndtn [13,14]. Due t a large number f varables and mprper cmbnatn f prcess parameters, the ptmal perfrmance f WEDM prcesses s very dffcult t acheve [3,13,14]. Ths gal can be acheved by usng mult-respnse ptmzatn technque such as Grey relatnal analyss (GRA) t determne the relatnshp between the prcess parameters and respnse varables n WEDM. AISI M42 s premum cbalt hgh speed steel wth a chemcal cmpstn desgned fr hgh hardness and superr ht hardness. The cmpstn f AISI M42 HSS makes t excellent n wear resstance due t hgh heat-treated hardness (68 t 70 hrc), and the hgh cbalt cntent mparts the ht hardness. Therefre the nvestgatn f effect f dfferent prcess parameters n AISI M42 HSS usng GRA s very mprtant. The gal f current research wrk Vl. 6 N. 8 August IJAREAS 3

4 s t determne the ptmum prcess parameters such as pulse n tme (Tn), pulse ff tme (Tff), wre feed rate (Wf) fr the respnse varables such as materal remval rate (MRR), surface rughness (Ra), kerf wdth (KW) n WEDM fr AISI M42 HSS materal usng Grey relatnal analyss (GRA) as a mult-respnse ptmzatn technque. 2. EXPERIMENTAL PROCEDURE 2.1 Expermental set-up The CNC Wrecut EDM Machne Electrnca - Maxcut 734 was selected fr current research wrk. Fr current research wrk experments were perfrmed n AISI M42 HSS materal wth a sze f 10 x 10 x 200 mm. Taguch L18 rthgnal array s used fr the expermentatn and analyss s perfrmed by usng Mntab-17 sftware. In each expermental run 6 mm x 6 mm square punch was cut frm the wrk pece n the CNC Wrecut EDM Machne. Brass wre f 0.25mm dameter wth denzed water as delectrc flud has been used durng machnng prcess. Based upn plt experments and avalable lterature, the prcess parameters wth levels were selected t cnduct the man (majr) experment and are arranged n Table 1. Current at 2A, vltage at 20V wth ther parameters were mantaned at cnstant level. Fg. 1 shws the detals f expermental setup. Table 1. Prcess parameters wth levels Prcess parameters Unt Levels A - wre feed rate (Wf) m/mn B - pulse n tme (Tn) µs C - pulse ff tme (Tff) µs Fg. 1. Expermental setup wth wrk pece Vl. 6 N. 8 August IJAREAS 4

5 2.2 Measurement f respnses MRR was calculated by takng prduct f kerf wdth, cuttng speed and thckness f materal. Eq. (1) was utlzed t calculate MRR. Hedenhan make electrnc prbe wth DRO (L.C mm) was used t measure the kerf wdth and thckness f materal. The dfference between dmensns (thckness) f wrkpece befre and after machnng was bserved t calculate the kerf wdth. The cuttng speed was recrded drectly frm cntrl panel f the WEDM machne. The surface rughness values were measured by usng a Mtuty make SJ- 201 surface rughness tester (L.C µm). Fr each test fur values were recrded. After measurement, the arthmetc mean f data s calculated and used as an abslute value. MRR = KW Vc Mt (1) Where KW = Kerf Wdth n mm, Vc = Cuttng Speed n mm/mn, Mt = Thckness f materal n mm [3]. 3. GREY RELATIONAL ANALYSIS In many cases sngle respnse ptmzatn [9-10] s nt pssble as the bjectve wuld be t smultaneusly mnmzng sme parameters and maxmze the remanng ne. Hence there s need fr a mult-respnse (bjectve) ptmzatn. In GRA, cmplcated multple perfrmance characterstcs s cnverted nt the sngle perfrmance characterstcs by calculatng Grey relatnal grade [6-12]. Ths makes GRA a mult-respnse ptmzatn technque. Step wse prcedure fr GRA s gven belw. 3.1 Data pre-prcessng Data pre-prcessng nvlves transfrmng f rgnal sequence f values (results f the parameters) t cmparable sequence whch s a dmensnless quantty. Expermental results are thus nrmalzed n a range f 0 t 1. The rgnal reference sequence and sequence fr cmparsn s represented as x (k) and x (k), = 1, 2,..., m; k =1, 2,..., n, respectvely, where m s the ttal number f experment t be cnsdered, and n s the ttal number f bservatn data. In data pre-prcessng, dependng upn characterstcs f rgnal sequence, the values are nrmalzed by usng respectve equatn as fllws. Smaller-the-better- x max x max x x mn x (2) Vl. 6 N. 8 August IJAREAS 5

6 Larger-the-better- Nmnal-the-better- x x max x mn x mn x (3) x 1 max{max Here, OB s the target value. 3.2 Devatn sequence x x OB OB; OB mn x } (4) The abslute dfference between the reference sequence and the cmparablty x sequence x after nrmalzatn s called as the devatn sequence (k). x x (5) max max max x j k x j mn mn mn x j k x j 3.3 Grey relatnal c-effcent and Grey relatnal grades The Grey relatnal ceffcent expresses the relatnshp between the deal (best) and actual (current) nrmalzed expermental results. The Grey relatnal c-effcent can be expressed by, mn.. Where s the dstngushng c-effcent, [0,1] max max (k) [6,8] Here s cnsdered as 0.5. The Grey relatnal grade (GRG) s an average sum f the Grey relatnal ceffcents whch represents the level f crrelatn between reference and cmparablty sequence. The verall evaluatn f the multple perfrmance characterstcs s based n the Grey relatnal grade, whch s expressed as. (6) 1 n n k1 (7) Vl. 6 N. 8 August IJAREAS 6

7 Hwever, n a real engneerng system, the mprtance f dfferent factrs t the system vares and these factrs carry unequal weghts (w k ) as per the real cndtn. Hence, Eq. (7) s extended and defned as weghted sum [7,11] f Grey relatnal ceffcent. Here w k represents the weghtng value f factr k and f factrs have the same weght.e., w k = 1, then Eq. (7) and Eq. (8) becmes ne and the same. n 1 wk. wk 1 n k1 n k1 Hgher Grey relatnal grade (GRG) amng all ther relatnal grades shws the mprtance f partcular cmparablty sequence t the reference sequence [7]. 4. RESULT AND DISCUSSION The expermental results f MRR, SR and KW btaned fr the man (majr) experment are lsted n Table 2. The larger-the-better characterstc s selected fr MRR, whereas fr SR and KW smaller-the-better s selected. Eq. (2) and Eq. (3) s used fr data preprcessng, the results f whch are tabulated n Table 3. Eq. (5) s emplyed fr devatn sequence and Eq. (6) fr Grey relatnal ceffcent. The results are lsted n Table 4. The verall evaluatn f the multple perfrmance characterstcs s based n the Grey relatnal grade. The Grey relatnal grade s a weghted sum f the Grey relatnal ceffcents Vl. 6 N. 8 August IJAREAS 7 (8) (k). In a real engneerng system, the mprtance f dfferent factrs t the system vares and accrdngly n the real cndtn unequal weghtage r weght (w k ) s carred by these factrs. Eq. (7) was utlzed t determne the Grey relatnal grade by adptng fur dfferent weght systems. These weghts were adpted based n ndustral requrements. Results f Grey relatnal grades wth fur dfferent weghts are lsted n Table 5. In Table 5, clumn 2 shws the weght f MRR (50%), SR (25%) and KW (25%).e., equal weght s alltted t surface rughness and kerf wdth. The Clumn 3 shws the weght f MRR (50%), SR (40%) and KW (10%). The clumn 4 shws the weght f MRR (45%), SR (45%) and KW (10%).e., equal weght s alltted t MRR and SR. The clumn 5 shws average GRG wth equal weghtage ( ) t all the three respnse varables. Respnse tables fr GRG were calculated by emplyng Taguch methd fr fur dfferent weght systems. They are shwn n Table 6, Table 7, Table 8 and Table 9. In respnse tables average f GRG was calculated fr each factr at respectve level n the rthgnal array. Analyss f respnse tables fr weghted GRG and average GRG was cnducted dfferent.

8 Table 2. L18 Orthgnal Array (OA) wth experment results Expt. Vc MRR SR (Ra n Wf Tn Tff N. (mm/mn) mm 3 /mn) µm) KW (mm) Table 3. Data pre-prcessng Nrmalzatn Expt. Nrmalzatn N. MRR SR KW Vl. 6 N. 8 August IJAREAS 8

9 Table 4. Devatn sequence and Grey relatnal ceffcent Expt. N. Devatn Sequence Grey Relatnal C-effcent MRR SR KW MRR SR KW Snce the Grey relatnal grade represents the level f crrelatn between the reference sequence and the cmparablty sequence, the larger GRG means the mprtance f partcular cmparablty sequence t the reference sequence. Hence cmparablty sequence has larger value f GRG fr MRR, SR and KW. Based n ths premse, ths study selects the level that prvdes largest average respnse. Fr three weghted GRG, the analyss f all the three respnse tables ( Optmal Level) shws that, A2-B3-C1 s an ptmal cmbnatn fr mult-respnse ptmzatn.e., (wre feed Rate 6m/mn, pulse n tme 114µs and pulse ff tme 50µs). At ths level the values f respnse parameters are MRR mm 3 /mn, SR 3.29µm and KW 0.317mm. The study als reveals that, the mst sgnfcant factrs fr MRR, SR and kerf wdth are Tn fllwed by Tff. The ptmal cmbnatn A2-B3-C1 cmes under Taguch L18 Array. Cnfrmatn Test was carred ut fr A2-B3-C1 by cmparng expermental results wth predcted results fr valdatn. Eq. (9) (ˆ [8,11] was emplyed t calculate the predcted GRG ) usng the respectve respnse Vl. 6 N. 8 August IJAREAS 9

10 tables. The Table 9 shws the respnse table fr Avg. GRG. Average Grey relatnal grade s calculated by addng Grey relatnal c-effcent f MRR, SR and KW and dvdng t by three. Table 5. Grey relatnal grade (GRG) Expt. Grey Relatn Grade (GRG) (% Weghtage) Average GRG N. GREY GRADE ( ) GREY GRADE ( ) GREY GRADE ( ) Avg. GRG ( ) Table 6. Respnse Table fr Grey relatnal grade (GRG) wth % weght Factrs / Levels GREY RELATIONAL GRADE (GRG) Delta Rank Wf Tn Tff Table 7. Respnse table fr Grey relatnal grade (GRG) wth % weght Factrs / Levels GREY RELATIONAL GRADE (GRG) Delta Rank Wf Tn Tff Vl. 6 N. 8 August IJAREAS 10

11 Table 8. Respnse table fr Grey relatnal grade (GRG) wth % weght GREY RELATIONAL GRADE (GRG) Factrs / Levels Delta Rank Wf Tn Tff Optmal level. Takng the Average gves the equal weghtage ( ) t all the three respnse varables.e., MRR, SR and KW. The Grey-Taguch analyss shws that, the ptmum cmbnatn fr average GRG s A2-B3-C3..e., (wre feed rate 6m/mn, pulse n tme 114µs and pulse ff tme 56µs). It s experment n. 18. At ths level the MRR f mm 3 /mn, SR f 3.07µm and KW f mm have been acheved. Table 9. Respnse table fr Avg. GRG wth % weght GREY RELATIONAL GRADE (GRG) Factrs / Levels Delta Rank Wf Tn Tff Optmal level. ˆ m n ( m ) 1 (9) Where, m s the ttal mean f GRG fr all experments and s the mean f GRG at the ptmal level f th parameter. Cnfrmatn test shws an mprvement n the expermental results when cmpared wth predcted results fr all three weght system as lsted n Table 10 hence; these results have been cnfrmed and valdated. Table 10. Result f cnfrmatn test Intal cmbnatn A2- Optmal cmbnatn B3-C1 A2-B3-C1 Imprvement Weght (%) GRG n GRG (%) Respnses Predcted Expermental MRR mm 3 / mn SR 3.29µm KW mm Vl. 6 N. 8 August IJAREAS 11

12 5. CONCLUSIONS In current research wrk, the effrt have been taken t determne the ptmum prcess parameters such as pulse n tme (Tn), pulse ff tme (Tff), wre feed rate (Wf) fr the respnse varables such as materal remval rate (MRR), surface rughness (Ra), kerf wdth (KW) n WEDM fr AISI M42 HSS materal usng Grey relatnal analyss as mult-respnse ptmzatn technque. Based upn plt experment and avalable lterature the parametrc levels were selected t cnduct the man (majr) experment. Taguch L18 rthgnal array was used t cnduct the man experments. The Grey relatnal grade was calculated by adptng fur dfferent weght systems. The study reveals that, the mst sgnfcant factrs fr MRR, SR and kerf wdth are Tn fllwed by Tff. Fr three weghted GRG, the Grey- Taguch analyss shws that, the ptmal cmbnatn s A2-B3-C1.e., wre feed rate 6m/mn, pulse n tme 114µs and pulse ff tme 50µs. At ths level the MRR f mm 3 /mn, SR f 3.29µm and KW f 0.317mm have been acheved. Fr average GRG, the Grey-Taguch analyss shws that, the ptmum cmbnatn s A2-B3-C3..e., (wre feed rate 6m/mn, pulse n tme 114µs and pulse ff tme 56µs). At ths level the MRR f mm 3 /mn, SR f 3.07µm and KW f mm have been acheved. ACKNOWLEDGMENT The authrs wuld lke t thank the management f Ashkra Mane Grup f Insttutns and M/S RUTURAJ WIRECUT, Klhapur fr extendng the help n preparatn f ths research paper. REFERENCES [1] M. P. Jahan, M. Rahman, Y. S. Wng, A revew n the cnventnal and mcrelectrdscharge machnng f tungsten carbde, Internatnal Jurnal f Machne Tls & Manufacture, 51 (2011), pp [2] K. P. Rajurkar, M. M. Sundaram, A. P. Malshe, Revew f Electrchemcal and Electrdscharge Machnng, The Seventeenth CIRP Cnference n Electr Physcal and Chemcal Machnng, Prceda CIRP 6 ( 2013), pp [3] U. A. Dabade, S. S. Kardkar, Analyss f respnse varables n WEDM f Incnel 718 usng Taguch technque, 48th CIRP Cnference n MANUFACTURING SYSTEMS, Prceda CIRP 41 (2016), pp Vl. 6 N. 8 August IJAREAS 12

13 [4] Rupesh Chalsgankar, Jatnder Kumar, Prcess capablty analyss and ptmzatn n WEDM f cmmercally pure ttanum, 12th GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT, Prceda Engneerng 97 (2014), pp [5] Feng Yeru, Gu Yngfeng, L Zngfeng, Expermental Investgatn f EDM Parameters fr TC/N Cermet Machnng, 18th CIRP Cnference n Electr Physcal and Chemcal Machnng, Prceda CIRP 42 (2016), pp [6] J. Deng, Intrductn t Grey system, J. f Grey System, 1 (1) (1989), pp [7] Jng Hyuk Jung and Wn Tae Kwn, Optmzatn f EDM prcess fr multple perfrmance characterstcs usng Taguch methd and Grey relatnal analyss, Jurnal f Mechancal Scence and Technlgy, 24 (5) (2010), pp [8] Shalesh Dewangan, Sumya Gangpadhyay, Chandan Kumar Bswas, Multrespnse ptmzatn f surface ntegrty characterstcs f EDM prcess usng grey-fuzzy lgc-based hybrd apprach, Engneerng Scence and Technlgy, an Internatnal Jurnal, 18 (2015), pp [9] Vkas, Apurba Kumar Ry, Kaushk Kumar, Effect and Optmzatn f varus Machne Prcess Parameters n the Surface Rughness n EDM fr an EN41 Materal usng Grey-Taguch, 3rd Internatnal Cnference n Materals Prcessng and Characterzatn, Prceda Materals Scence 6 ( 2014), pp [10] Amtesh Gswam, Jatnder Kumar, Investgatn f surface ntegrty, materal remval rate and wre wear rat fr WEDM f Nmnc 80A ally usng GRA and Taguch methd, Engneerng Scence and Technlgy, an Internatnal Jurnal, 17 (2014), pp [11] J. B. Saedna, Nrkamal Jaafarb, Mhd Azman Yahaya, NrHayat Saad and Mhd Shahr Kasm, Mult-bjectve ptmzatn f ttanum ally thrugh rthgnal array and grey relatnal analyss n WEDM, 2nd Internatnal Cnference n System-Integrated Intellgence: Challenges fr Prduct and Prductn Engneerng, Prceda Technlgy 15 (2014), pp [12] Rajesh Purht, R.S. Rana, R.K. Dwved, Deepen Banrya, Swadesh Kumar Sngh, Optmzatn f electrc dscharge machnng f M2 tl steel usng grey relatnal analyss, 4th Internatnal Cnference n Materals Prcessng and Vl. 6 N. 8 August IJAREAS 13

14 Characterzatn, Materals Tday: Prceedngs 2 (2015), pp [13] Jsh Guruprasad R., A. N. Chapgan, A Revew n Recent Trends n Parametrc Optmzatn n WEDM, Internatnal Research Jurnal f Engneerng and Technlgy (IRJET), Vlume: 03, Issue: 08, Aug-2016, pp [14] Jsh Guruprasad R., Dr. A. N. Chapgan, Effect and Optmzatn f Prcess Parameters usng Taguch Methd n WEDM fr AISI M42 HSS Materal, Internatnal Jurnal f Scence and Research, Vlume 6 Issue 2, February 2017, pp Dr. A. N. Chapgan receved hs B.E. (Mech.) frm Karnataka Unversty, M.E. frm Mangalre Unversty, Ph.D. degree frm Shvaj Unversty n 1979, 1985 and 1996, respectvely. Dr. A. N. Chapgan s currently wrkng n AMGOI, Klhapur as Prfessr and Head f Mechancal engneerng department. Hs research felds nclude Thermal and manufacturng engneerng. Jsh Guruprasad R. receved hs B.E. (Mech.) frm Vsvesvaraya Technlgcal Unversty (VTU), Belgaum n Jsh Guruprasad R. s a P.G. research schlar and pursung hs M.E. n Mechancal-Prductn Engneerng frm AMGOI, Klhapur. He s currently an Assstant Prfessr n Dhanajay Mahadk Grup f Insttutns, Klhapur. Hs research felds nclude prductn engneerng. Vl. 6 N. 8 August IJAREAS 14