Perspectives on Digital Manufacturing - Future …

1 Perspectives on Digital ManufacturingPinakin ChaubalGeneral Manager, ArcelorMittal Global R&DFuture Steel Forum, June 14-15, 2017 Warsaw, Poland1?2 The Steel Plant is a Complex set of units within an Enterprise3 The Center for International Manufacturing (Cambridge University) has come up with what they believe will make up the Smart factory of the Future with more a Commercial / Supply Chain focus. Smart Manufacturing is not just the Smart Factory124 What is driving us?The 4 P is driving us?PEOPLE6 What is driving us?PRODUCTS7 What is driving us?PROCESS8 What is driving us?

2 PROFIT9 The Revolution?910 The Industrial World is moving!11 The path forward is not always clear!12 Process Control has evolved taking advantage of numerous developments13 These technologies can be used individually or in combination to support the development of new applications, especially in making our Manufacturing operations and integrated supply chains Smarter . Future Steel Forum 2017 FocusIndustry Smart Factory Building Blocks 1314 The Gartner Hype Chart20/06/2017 Confidential15 Advance Automation:KOBM Auto Tap at ArcelorMittal Dofasco Automatically tap Steel from KOBM Vessel, includes Vessel tilling Slag carry over control Ladle movement (before, during and after tapping) Flux/alloy addition Arstirring Slag coating16 Global Platforms: ArcelorMittal BF Network17 Global Platforms: ArcelorMittal Global Product Quality SystemGlobal Platforms: ArcelorMittal Line Scheduling with Artificial simultaneous changes.

3 Thickness, width, steel grades, thermal cycles, zinc coating, skin pass elongation, GA layer, passivation / oiling, .. Earth lifetime(seconds):1190000000000000000000 0000000000000000000000000000000000000000 0000000000000000000000000000000000000000 00000000143173440000000000# of possible sequences with 70 coils:ParallelComputing+=Flexible & Optimal Production ArcelorMittal -All rights reserved for all countriesCannot be disclosed, used, or reproduced without prior written specific authorization of ArcelorMittalCONFIDENTIAL -Privileged Information -ArcelorMittal proprietary informationNew Limits.

4 Deep Learning for radical quality check(1)AccuracyofcurrentASIS(AutomaticS urfaceInspectionSystems)isnottoohigh(2)P ost-ASIS filtering+humaninterventionimprovesaccur acyby25%Humananalysisisaverycostlyproces s(20potentialsliverstofindarealone)andal mostimpossibletorollout. Collaborationwithstartupcompany NewDeepLearningtechniqueswereappliedonto pofcurrentASIS, Accuracyachievedissimilarto(2) Radicalreductionofhumaninspectionandmode lcanberolledoutTraditional ASIS + rule-filteringNew Deep Learning techniques Sliversarestillaproductiondefecttobework edoutbyallsteelmanufacturers20An European initiative coils that communicate 21So where do we go?

5 ZERO PROCESS UPSETSZERO DEFECTSZERO EQUIPMENT FAILURES22 And What are our challenges?23 And What are our challenges24To succeed a holistic approachProf. Volker Stich, RWTH Aachen25 And Steps to Success : Actions => drivers that support goals of the enterprise Gap assessment to determine the that demonstrate value : Rapid transition from cost to value culture of the organization will be impacted on this journey -> prepare the change management accordingly. alignment of the Operations Technology (OT) and the Information Technology (IT) successes / challenges / lessons learned across the company s enterprise facilities not go to it alone26 But InnoTech= To guarantee a sustainable Future And in conclusio