Application of TOPSIS Optimization in Abrasive Water Jet Machining of Military Grade Armor Steel

Rolled Homogeneous Armor (RHA) is a high tensile strength, toughness, and hardness is widely used in defense battlefield vehicles. RHA is high-strength low alloy steel and it is best suited for all battlefield applications in defense vehicles as it withstands any projectile attack. The TOPSIS method...

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Published inHuman factors and mechanical engineering for defense and safety Vol. 5; no. 1
Main Authors Rammohan, S., Kumaran, S. Thirumalai, Uthayakumar, M., Velayudham, A.
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.12.2021
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ISSN2509-8004
2367-2544
DOI10.1007/s41314-021-00039-4

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Abstract Rolled Homogeneous Armor (RHA) is a high tensile strength, toughness, and hardness is widely used in defense battlefield vehicles. RHA is high-strength low alloy steel and it is best suited for all battlefield applications in defense vehicles as it withstands any projectile attack. The TOPSIS method was used in this study to conduct an experimental investigation of abrasive water jet machining (AWJM) cutting on RHA steel. Process parameters like jet water pressure ( P ), jet traverse rate ( T ), and standoff distance (SOD) are optimized with multiresponse output characteristics such as kerf angle (Ka), material removal mate (MRR), and surface roughness (Ra). The experiments are conducted under L27 factorial design, and Simos’ weightage approach is used to calculate the weight of the output parameter. The ANOVA test is employed to determine the level of contribution of each input parameter. The optimal closeness output response gives maximum MRR and minimum Ka and Ra values. T is the most influencing factor in the three output responses and SOD is the second influencing factor. The better optimal process parameter SOD = 1 mm, T  = 5 mm/min and P  = 240 MPa is identified using the TOPSIS method.
AbstractList Rolled Homogeneous Armor (RHA) is a high tensile strength, toughness, and hardness is widely used in defense battlefield vehicles. RHA is high-strength low alloy steel and it is best suited for all battlefield applications in defense vehicles as it withstands any projectile attack. The TOPSIS method was used in this study to conduct an experimental investigation of abrasive water jet machining (AWJM) cutting on RHA steel. Process parameters like jet water pressure ( P ), jet traverse rate ( T ), and standoff distance (SOD) are optimized with multiresponse output characteristics such as kerf angle (Ka), material removal mate (MRR), and surface roughness (Ra). The experiments are conducted under L27 factorial design, and Simos’ weightage approach is used to calculate the weight of the output parameter. The ANOVA test is employed to determine the level of contribution of each input parameter. The optimal closeness output response gives maximum MRR and minimum Ka and Ra values. T is the most influencing factor in the three output responses and SOD is the second influencing factor. The better optimal process parameter SOD = 1 mm, T  = 5 mm/min and P  = 240 MPa is identified using the TOPSIS method.
ArticleNumber 3
Author Velayudham, A.
Uthayakumar, M.
Rammohan, S.
Kumaran, S. Thirumalai
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10.1016/j.eswa.2012.05.056
10.1007/s12206-015-1217-4
10.1007/s41779-017-0023-0
10.1007/978-3-642-46768-4_5
10.1007/s00170-004-2348-4
10.1504/IJMMM.2018.090543
10.1016/0923-4748(95)00011-7
10.1080/10426914.2015.1103859
10.1007/s12633-020-00766-x
10.1007/s13369-019-03978-5
10.1016/j.mcm.2004.10.003
10.1080/10426914.2018.1544707
10.1243/09544054JEM1238
10.1007/s00170-018-2321-2
10.1007/978-3-642-48318-9_3
10.1080/10426914.2014.994763
10.1080/10426914.2011.593231
10.1080/10426914.2012.736661
10.1016/j.msea.2013.11.018
10.1080/02533839.2002.9670684
10.1515/JMSP.2011.002
10.1007/s00170-010-2905-y
10.1007/s40430-019-1823-7
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References GauriSKChakravortyROptimization of correlated multiple responses of ultrasonic machining (USM) processInt J Adv Manuf Technol2011531115112710.1007/s00170-010-2905-y
ShanmugavelRMokkandiPJayamaniMRajiniNUthayakumarMThirumalaikumaranSMechanical and machinability characteristics of Al-NiTi composites reinforced with SiC particulatesJ Aust Ceram Soc20175317718510.1007/s41779-017-0023-0
WhittingtonWROppedalALTurnageSHammiYRheeHAllisonPGCraneCKHorstemeyerMFCapturing the effect of temperature, strain rate, and stress state on the plasticity and fracture of rolled homogeneous armor (RHA) steelMater Sci Eng A2014594828810.1016/j.msea.2013.11.018
YuvarajNPradeep KumarMOptimisation of abrasive water jet cutting process parameters for AA5083-H32 aluminium alloy using fuzzy TOPSIS methodInt J Mach Mach Mater20182011814010.1504/IJMMM.2018.090543
HuCJLeePYChenJSBallistic performance and microstructure of modified rolled homogeneous armor steelJ Chin Inst Eng20022519910710.1080/02533839.2002.9670684
Chen SJ., Hwang CL. (1992) Fuzzy Multiple attribute decision making methods. In: Fuzzy Multiple attribute decision making. Lecture notes in economics and mathematical systems, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46768-4_5
KarakurtIAydinGAydinerKAn experimental study on the depth of cut of granite in abrasive waterjet cuttingMater Manuf Processes20122753854410.1080/10426914.2011.593231
ChauOLSelection of a manufacturing process with multiple attributes: a case studyJ Eng Tech Manage19951221923710.1016/0923-4748(95)00011-7
KumarARaiRNGrey-Taguchi and TOPSIS-Taguchi-based optimisation of performance parameters of Spark EDM on heat-treated AA7050 / 5 B4C compositeJ Inst Eng India Ser D2020101717910.1007/s40033-020-00211-8
Hwang CL, Yoon K (1981) Methods for multiple attribute decision making. In: Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3
ChakladarNDChakrabortySA combined TOPSIS-AHP-method-based approach for non-traditional machining processes selectionProc Inst Mech Eng B J Eng Manuf2008222121613162310.1243/09544054JEM1238
ManivannanRKumarMPMulti-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSISJ Mech Sci Technol20163013714410.1007/s12206-015-1217-4
OlsonDLComparison of weights in TOPSIS models, Mathematical and Computer ModellingMath Comput Model20044072172710.1016/j.mcm.2004.10.0031066.90054
Pradeep N, Shanmuga Sundaram K, Pradeep Kumar M(2019) Multi-response optimization of electrochemical micromachining parameters for SS304 using polymer graphite electrode with NaNO3 electrolyte based on TOPSIS technique. J Braz Soc Mech Sci Eng 41:323. https://doi.org/10.1007/s40430-019-1823-7
RaoRVMachinability evaluation of work materials using a combined multiple attribute decision-making methodInt J Adv Manuf Technol20062822122710.1007/s00170-004-2348-4
Bobbili R, Madhu V, Gogia AK (2013) Effect of wire-EDM machining parameters on surface roughness and material removal rate of high strength armor steel. Mater Manuf Process 28(4):37–41. https://doi.org/10.1080/10426914.2012.736661
BehzadianMOtaghsaraSKYazdaniMIgnatiusJExpert Systems with Applications A state-of the-art survey of TOPSIS applicationsExpert Syst Appl201239130511306910.1016/j.eswa.2012.05.056
MaitySRChakrabortySGrinding wheel abrasive material selection using fuzzy TOPSIS methodMater Manuf Process201328374110.1080/10426914.2012.700159
SinghADattaSSankarSApplication of TOPSIS in the Taguchi method for optimal machining parameter selectionJ Manuf Sci Prod201111496010.1515/JMSP.2011.002
RajSONPrabhuSInvestigation on slicing Behavior of Single Crystal Silicon Wafer in AWJM and Influence of Micro Dimple Textured Surface for Solar ApplicationsSilicon202010.1007/s12633-020-00766-x
UthayakumarMKhanMAKumaranSTSlotaAMachinability of nickel based superalloy by abrasive water jet machiningMater Manuf Processes2016311733173910.1080/10426914.2015.1103859
ThamizhvalavanPArivazhaganSYuvarajNRameshBMachinability study of abrasive aqua jet parameters on hybrid metal matrix compositeMater Manuf Process20180012410.1080/10426914.2018.1544707
NguyenHPhamVNgoNApplication of TOPSIS to Taguchi method for multi-characteristic optimization of electrical discharge machining with titanium powder mixed into dielectric fluidInt J Adv Manuf Technol2018981179119810.1007/s00170-018-2321-2
GeethapriyanTMuthuramalingamTKalaichelvanKInfluence of process parameters on machinability of Inconel 718 by electrochemical micromachining process using TOPSIS techniqueArab J Sci Eng2019447945795510.1007/s13369-019-03978-5
YuvarajNPradeep KumarMMultiresponse optimization of abrasive water jet cutting process parameters using TOPSIS approachMater Manuf Process20153088288910.1080/10426914.2014.994763
DL Olson (39_CR22) 2004; 40
N Yuvaraj (39_CR10) 2015; 30
SON Raj (39_CR16) 2020
SK Gauri (39_CR9) 2011; 53
H Nguyen (39_CR18) 2018; 98
39_CR24
CJ Hu (39_CR3) 2002; 25
R Manivannan (39_CR14) 2016; 30
39_CR21
39_CR1
I Karakurt (39_CR25) 2012; 27
A Kumar (39_CR20) 2020; 101
T Geethapriyan (39_CR19) 2019; 44
M Uthayakumar (39_CR23) 2016; 31
SR Maity (39_CR13) 2013; 28
R Shanmugavel (39_CR15) 2017; 53
ND Chakladar (39_CR7) 2008; 222
39_CR17
A Singh (39_CR5) 2011; 11
P Thamizhvalavan (39_CR4) 2018; 00
WR Whittington (39_CR2) 2014; 594
M Behzadian (39_CR8) 2012; 39
N Yuvaraj (39_CR12) 2018; 20
RV Rao (39_CR11) 2006; 28
OL Chau (39_CR6) 1995; 12
References_xml – reference: Pradeep N, Shanmuga Sundaram K, Pradeep Kumar M(2019) Multi-response optimization of electrochemical micromachining parameters for SS304 using polymer graphite electrode with NaNO3 electrolyte based on TOPSIS technique. J Braz Soc Mech Sci Eng 41:323. https://doi.org/10.1007/s40430-019-1823-7
– reference: ChakladarNDChakrabortySA combined TOPSIS-AHP-method-based approach for non-traditional machining processes selectionProc Inst Mech Eng B J Eng Manuf2008222121613162310.1243/09544054JEM1238
– reference: UthayakumarMKhanMAKumaranSTSlotaAMachinability of nickel based superalloy by abrasive water jet machiningMater Manuf Processes2016311733173910.1080/10426914.2015.1103859
– reference: ThamizhvalavanPArivazhaganSYuvarajNRameshBMachinability study of abrasive aqua jet parameters on hybrid metal matrix compositeMater Manuf Process20180012410.1080/10426914.2018.1544707
– reference: KumarARaiRNGrey-Taguchi and TOPSIS-Taguchi-based optimisation of performance parameters of Spark EDM on heat-treated AA7050 / 5 B4C compositeJ Inst Eng India Ser D2020101717910.1007/s40033-020-00211-8
– reference: Bobbili R, Madhu V, Gogia AK (2013) Effect of wire-EDM machining parameters on surface roughness and material removal rate of high strength armor steel. Mater Manuf Process 28(4):37–41. https://doi.org/10.1080/10426914.2012.736661
– reference: Chen SJ., Hwang CL. (1992) Fuzzy Multiple attribute decision making methods. In: Fuzzy Multiple attribute decision making. Lecture notes in economics and mathematical systems, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46768-4_5
– reference: BehzadianMOtaghsaraSKYazdaniMIgnatiusJExpert Systems with Applications A state-of the-art survey of TOPSIS applicationsExpert Syst Appl201239130511306910.1016/j.eswa.2012.05.056
– reference: SinghADattaSSankarSApplication of TOPSIS in the Taguchi method for optimal machining parameter selectionJ Manuf Sci Prod201111496010.1515/JMSP.2011.002
– reference: RajSONPrabhuSInvestigation on slicing Behavior of Single Crystal Silicon Wafer in AWJM and Influence of Micro Dimple Textured Surface for Solar ApplicationsSilicon202010.1007/s12633-020-00766-x
– reference: GeethapriyanTMuthuramalingamTKalaichelvanKInfluence of process parameters on machinability of Inconel 718 by electrochemical micromachining process using TOPSIS techniqueArab J Sci Eng2019447945795510.1007/s13369-019-03978-5
– reference: HuCJLeePYChenJSBallistic performance and microstructure of modified rolled homogeneous armor steelJ Chin Inst Eng20022519910710.1080/02533839.2002.9670684
– reference: ShanmugavelRMokkandiPJayamaniMRajiniNUthayakumarMThirumalaikumaranSMechanical and machinability characteristics of Al-NiTi composites reinforced with SiC particulatesJ Aust Ceram Soc20175317718510.1007/s41779-017-0023-0
– reference: KarakurtIAydinGAydinerKAn experimental study on the depth of cut of granite in abrasive waterjet cuttingMater Manuf Processes20122753854410.1080/10426914.2011.593231
– reference: ChauOLSelection of a manufacturing process with multiple attributes: a case studyJ Eng Tech Manage19951221923710.1016/0923-4748(95)00011-7
– reference: GauriSKChakravortyROptimization of correlated multiple responses of ultrasonic machining (USM) processInt J Adv Manuf Technol2011531115112710.1007/s00170-010-2905-y
– reference: NguyenHPhamVNgoNApplication of TOPSIS to Taguchi method for multi-characteristic optimization of electrical discharge machining with titanium powder mixed into dielectric fluidInt J Adv Manuf Technol2018981179119810.1007/s00170-018-2321-2
– reference: WhittingtonWROppedalALTurnageSHammiYRheeHAllisonPGCraneCKHorstemeyerMFCapturing the effect of temperature, strain rate, and stress state on the plasticity and fracture of rolled homogeneous armor (RHA) steelMater Sci Eng A2014594828810.1016/j.msea.2013.11.018
– reference: YuvarajNPradeep KumarMOptimisation of abrasive water jet cutting process parameters for AA5083-H32 aluminium alloy using fuzzy TOPSIS methodInt J Mach Mach Mater20182011814010.1504/IJMMM.2018.090543
– reference: MaitySRChakrabortySGrinding wheel abrasive material selection using fuzzy TOPSIS methodMater Manuf Process201328374110.1080/10426914.2012.700159
– reference: OlsonDLComparison of weights in TOPSIS models, Mathematical and Computer ModellingMath Comput Model20044072172710.1016/j.mcm.2004.10.0031066.90054
– reference: Hwang CL, Yoon K (1981) Methods for multiple attribute decision making. In: Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48318-9_3
– reference: YuvarajNPradeep KumarMMultiresponse optimization of abrasive water jet cutting process parameters using TOPSIS approachMater Manuf Process20153088288910.1080/10426914.2014.994763
– reference: ManivannanRKumarMPMulti-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSISJ Mech Sci Technol20163013714410.1007/s12206-015-1217-4
– reference: RaoRVMachinability evaluation of work materials using a combined multiple attribute decision-making methodInt J Adv Manuf Technol20062822122710.1007/s00170-004-2348-4
– volume: 101
  start-page: 71
  year: 2020
  ident: 39_CR20
  publication-title: J Inst Eng India Ser D
  doi: 10.1007/s40033-020-00211-8
– volume: 28
  start-page: 37
  year: 2013
  ident: 39_CR13
  publication-title: Mater Manuf Process
  doi: 10.1080/10426914.2012.700159
– volume: 39
  start-page: 13051
  year: 2012
  ident: 39_CR8
  publication-title: Expert Syst Appl
  doi: 10.1016/j.eswa.2012.05.056
– volume: 30
  start-page: 137
  year: 2016
  ident: 39_CR14
  publication-title: J Mech Sci Technol
  doi: 10.1007/s12206-015-1217-4
– volume: 53
  start-page: 177
  year: 2017
  ident: 39_CR15
  publication-title: J Aust Ceram Soc
  doi: 10.1007/s41779-017-0023-0
– ident: 39_CR24
  doi: 10.1007/978-3-642-46768-4_5
– volume: 28
  start-page: 221
  year: 2006
  ident: 39_CR11
  publication-title: Int J Adv Manuf Technol
  doi: 10.1007/s00170-004-2348-4
– volume: 20
  start-page: 118
  year: 2018
  ident: 39_CR12
  publication-title: Int J Mach Mach Mater
  doi: 10.1504/IJMMM.2018.090543
– volume: 12
  start-page: 219
  year: 1995
  ident: 39_CR6
  publication-title: J Eng Tech Manage
  doi: 10.1016/0923-4748(95)00011-7
– volume: 31
  start-page: 1733
  year: 2016
  ident: 39_CR23
  publication-title: Mater Manuf Processes
  doi: 10.1080/10426914.2015.1103859
– year: 2020
  ident: 39_CR16
  publication-title: Silicon
  doi: 10.1007/s12633-020-00766-x
– volume: 44
  start-page: 7945
  year: 2019
  ident: 39_CR19
  publication-title: Arab J Sci Eng
  doi: 10.1007/s13369-019-03978-5
– volume: 40
  start-page: 721
  year: 2004
  ident: 39_CR22
  publication-title: Math Comput Model
  doi: 10.1016/j.mcm.2004.10.003
– volume: 00
  start-page: 1
  year: 2018
  ident: 39_CR4
  publication-title: Mater Manuf Process
  doi: 10.1080/10426914.2018.1544707
– volume: 222
  start-page: 1613
  issue: 12
  year: 2008
  ident: 39_CR7
  publication-title: Proc Inst Mech Eng B J Eng Manuf
  doi: 10.1243/09544054JEM1238
– volume: 98
  start-page: 1179
  year: 2018
  ident: 39_CR18
  publication-title: Int J Adv Manuf Technol
  doi: 10.1007/s00170-018-2321-2
– ident: 39_CR21
  doi: 10.1007/978-3-642-48318-9_3
– volume: 30
  start-page: 882
  year: 2015
  ident: 39_CR10
  publication-title: Mater Manuf Process
  doi: 10.1080/10426914.2014.994763
– volume: 27
  start-page: 538
  year: 2012
  ident: 39_CR25
  publication-title: Mater Manuf Processes
  doi: 10.1080/10426914.2011.593231
– ident: 39_CR1
  doi: 10.1080/10426914.2012.736661
– volume: 594
  start-page: 82
  year: 2014
  ident: 39_CR2
  publication-title: Mater Sci Eng A
  doi: 10.1016/j.msea.2013.11.018
– volume: 25
  start-page: 99
  issue: 1
  year: 2002
  ident: 39_CR3
  publication-title: J Chin Inst Eng
  doi: 10.1080/02533839.2002.9670684
– volume: 11
  start-page: 49
  year: 2011
  ident: 39_CR5
  publication-title: J Manuf Sci Prod
  doi: 10.1515/JMSP.2011.002
– volume: 53
  start-page: 1115
  year: 2011
  ident: 39_CR9
  publication-title: Int J Adv Manuf Technol
  doi: 10.1007/s00170-010-2905-y
– ident: 39_CR17
  doi: 10.1007/s40430-019-1823-7
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Snippet Rolled Homogeneous Armor (RHA) is a high tensile strength, toughness, and hardness is widely used in defense battlefield vehicles. RHA is high-strength low...
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springer
SourceType Enrichment Source
Index Database
Publisher
SubjectTerms Engineering
Mechanical Engineering
Original Paper
Security Science and Technology
Structural Materials
Textile Engineering
Title Application of TOPSIS Optimization in Abrasive Water Jet Machining of Military Grade Armor Steel
URI https://link.springer.com/article/10.1007/s41314-021-00039-4
Volume 5
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