Table Of Content

COMPUTATIONAL INTELLIGENCE IN MANUFACTURING This page intentionally left blank Woodhead Publishing Reviews: Mechanical Engineering Series COMPUTATIONAL INTELLIGENCE IN MANUFACTURING Edited by KAUSHIK KUMAR GANESH KAKANDIKAR J. PAULO DAVIM An imprint of Elsevier WoodheadPublishingisanimprintofElsevier 50HampshireStreet,5thFloor,Cambridge,MA02139,UnitedStates TheBoulevard,LangfordLane,Kidlington,OX51GB,UnitedKingdom Copyright©2022ElsevierLtd.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,electronic ormechanical,includingphotocopying,recording,oranyinformationstorageandretrievalsystem, withoutpermissioninwritingfromthepublisher.Detailsonhowtoseekpermission,further informationaboutthePublisher’spermissionspoliciesandourarrangementswithorganizations suchastheCopyrightClearanceCenterandtheCopyrightLicensingAgency,canbefoundatour website:www.elsevier.com/permissions. Thisbookandtheindividualcontributionscontainedinitareprotectedundercopyrightbythe Publisher(otherthanasmaybenotedherein). Notices Knowledgeandbestpracticeinthisfieldareconstantlychanging.Asnewresearchandexperience broadenourunderstanding,changesinresearchmethods,professionalpractices,ormedical treatmentmaybecomenecessary. Practitionersandresearchersmustalwaysrelyontheirownexperienceandknowledgeinevaluating andusinganyinformation,methods,compounds,orexperimentsdescribedherein.Inusingsuch informationormethodstheyshouldbemindfuloftheirownsafetyandthesafetyofothers,including partiesforwhomtheyhaveaprofessionalresponsibility. Tothefullestextentofthelaw,neitherthePublishernortheauthors,contributors,oreditors,assume anyliabilityforanyinjuryand/ordamagetopersonsorpropertyasamatterofproductsliability, negligenceorotherwise,orfromanyuseoroperationofanymethods,products,instructions,orideas containedinthematerialherein. ISBN:978-0-323-91854-1(print) ISBN:978-0-323-91855-8(online) ForinformationonallWoodheadpublications visitourwebsiteathttps://www.elsevier.com/books-and-journals Publisher:MatthewDeans AcquisitionsEditor:BrianGuerin EditorialProjectManager:RafaelGuilhermeTrombaco ProductionProjectManager:SuryaNarayananJayachandran CoverDesigner:MarkRogers TypesetbySTRAIVE,India Contents Contributors ix Preface xiii 1. Multiversemultiobjective optimization of thinningand wrinkling in automotiveconnector 1 GaneshM. Kakandikar, Vilas M. Nandedkar,and OmkarK. Kulkarni 1.1 Sheet-metalforming 1 1.2 Automotivecomponentunderstudy:Connector 1 1.3 Taguchidesignofexperiments 2 1.4 Numericalsimulationresults—Connector 3 1.5 Connector—Formingzone 6 1.6 Connector—Thicknessdistribution 6 1.7 Connector—Safetyzone 9 1.8 Connector—Safetymargin 9 1.9 Connector—Forminglimitdiagram 11 1.10 Analysisofvarianceforthinning—Connector 11 1.11 Analysisofvarianceforwrinkling—Connector 15 1.12 Linearregressionanalysis 16 1.13 Mathematicalmodeling—Connector 16 1.14 Problemformulation—Thinningandwrinkling 17 1.15 MultiobjectiveMultiverseoptimizationalgorithm(MOMVO) 17 1.16 Multiobjectiveoptimization 20 1.17 Conclusion 21 References 21 2. Anapproach for machining curve cooling hole in plastic injection mold 23 DiweshBabruwan Meshram 2.1 Introduction 23 2.2 Methodology 28 2.3 Experimentation 33 2.4 Resultsanddiscussion 37 2.5 Conclusions 42 References 43 v vi Contents 3. Experimental and numerical investigation of deformation behaviorofdualphasesteelatelevatedtemperaturesusing various constitutive models and ANN 47 SandeepPandre,Ayush Morchhale, NitinKotkunde, SwadeshKumarSingh, NavneetKhanna,and Ambuj Saxena 3.1 Introduction 47 3.2 Experimentalprocedure 50 3.3 Resultsanddiscussion 53 3.4 Conclusions 67 References 68 4. Optimization ofthermalefficiency of Scheffler solar concentrator receiverusing slime mold algorithm 71 AnitaNeneand OmkarK. Kulkarni 4.1 Introduction 71 4.2 Experimentalsetup 72 4.3 Experimentationforthermalefficiency 72 4.4 Slimemoldoptimizationalgorithm 76 4.5 Resultsanddiscussions 83 4.6 Conclusion 84 References 85 5. Study ondrilling behavior of polymer nanocomposites modified bycarbon nanomaterial with fiber: Acase study 87 JogendraKumar, KesarwaniShivi, Balram Jaiswal, Kaushlendra Kumar, DevendraKumar Singh,Kuldeep Kumar,Rahul Vishwakarma, and RajeshKumar Verma 5.1 Introduction 87 5.2 Machiningprocess(drilling)onlaminatedpolymer nanocomposite 90 5.3 MachiningprocesscontrolthroughMCDM/algorithm approach 93 5.4 Drillingoflaminatedpolymernanocomposite: Acasestudy 94 5.5 Summaryofchapter 103 Acknowledgments 104 References 104 Contents vii 6. Machiningperformanceanalysisofmicro-EDmillingprocessof titanium alloy (Ti-6Al-4V) 111 P.Sivaprakasam, P.Hariharan,S.Gowri, andJ. Udaya Prakash 6.1 Introduction 111 6.2 Experimentaldetails-materialsandmethods 114 6.3 Resultsanddiscussion 115 6.4 Conclusions 127 References 127 7. Computational analysis of provisionalstudy on white layer properties by EDM vs. WEDM ofaluminum metal matrix composites 131 M.Kathiresan, R.Theerkka Tharisanan,and P.Pandiarajan 7.1 Introduction 131 7.2 Heat-affectedzone(HAZ)onEDM 133 7.3 Heat-affectedzone(HAZ)onWEDM 134 7.4 WhitelayeronEDMandWEDM 135 7.5 ThermophysicalmodelforEDM 136 7.6 ThermophysicalmodelforWEDM 137 7.7 Methodologyofcompositemaking 139 7.8 Machiningsetup 142 7.9 Resultsanddiscussion 144 7.10 Conclusion 155 References 156 8. Scopeofindustry4.0componentsinmanufacturingSMEs 161 AroraMonika, Buttan Apoorva, KumarAnuj, PujariPurvi, and SabharwalJyotsana 8.1 Introduction 161 8.2 WhatisAI? 161 8.3 DifferencebetweenCIandAI 162 8.4 PrinciplesofCI 162 8.5 Neuralnetwork 163 8.6 Deeplearning 163 8.7 Probabilisticmethodforuncertainreasoning 163 8.8 Smallandmediumenterprises(SMEs) 164 8.9 Industry4.0 164 8.10 SMEsandindustry4.0 165 viii Contents 8.11 Artificialintelligence 165 8.12 BarrierstoadoptionofcomputationalintelligenceinSMEs 166 8.13 ComputationalintelligenceandSMEs 166 8.14 Modelformulation(datalayer/informationlayer/intelligence layer) 169 8.15 Modeldiscussion 169 8.16 ApplicationsofCIinSMEs 170 8.17 Conclusion 171 References 173 9. Processparameteroptimizationinmanufacturingofrootcanal device using gorilla troopsoptimization algorithm 175 SwanandPachpore, PradeepJadhav, andRatnakar Ghorpade 9.1 Introduction 175 9.2 Mathematicalmodel 177 9.3 Gorillatroopsoptimizationforslidingfrictionalforce 179 9.4 Explorationphase 180 9.5 Exploitationphase 181 9.6 Resultsanddiscussion 182 9.7 Conclusion 184 References 184 10. A comprehensivereview ofagriculture irrigation using artificial intelligence for crop production 187 Maithili AnilChougule and AnilS.Mashalkar 10.1 Introduction 187 10.2 Influenceofartificialintelligencetechnologyonanagriculture irrigationsystem 189 10.3 Embeddedroboticsandautonomousinagriculture 189 10.4 Smartirrigationsystemsinagriculture 190 10.5 Weedingmanagementsystems 193 10.6 Conclusion 196 10.7 Futurescope 197 References 197 Index 201 Contributors MaithiliAnilChougule SchoolofMechanicalEngineering,DrVishwanathKaradMITWorldPeaceUniversity, CAD/CAM/CAE,Pune,India KumarAnuj ApeejaySchoolofManagement,Delhi,India ButtanApoorva AmitySchoolofCommunication,AmityUniversity,Noida,India RatnakarGhorpade DepartmentofMechanicalEngineering,CollegeofEngineering,BharatiVidyapeeth (Deemedtobe)University,Pune,India S.Gowri DepartmentofManufacturingEngineering,CollegeofEngineeringGuindy,Anna University,Chennai,India P.Hariharan DepartmentofManufacturingEngineering,CollegeofEngineeringGuindy,Anna University,Chennai,India PradeepJadhav SchoolofMechanicalEngineering,Dr.VishwanathKaradMITWorldPeaceUniversity, Pune,India BalramJaiswal MaterialsandMorphologyLaboratory,DepartmentofMechanicalEngineering,Madan MohanMalaviyaUniversityofTechnology,Gorakhpur,UttarPradesh,India SabharwalJyotsana ApeejaySchoolofManagement,Delhi,India GaneshM.Kakandikar SchoolofMechanicalEngineering,Dr.VishwanathKaradMITWorldPeaceUniversity, Pune,India M.Kathiresan DepartmentofMechanicalEngineering,E.G.S.PillayEngineeringCollege,Nagapattinam, India NavneetKhanna AdvancedManufacturingLaboratory,InstituteofInfrastructureTechnologyResearchand Management(IITRAM),Ahmedabad,India NitinKotkunde DepartmentofMechanicalEngineering,BITSPilani,Hyderabad,India ix