STUTTGART CONFERENCE ON AUTOMOTIVE PRODUCTION...Stuttgart Conference on Automotive Production 9-10 November 2020 Version October 9, 2020 Dr.-Ing. Frieder Heieck Dr.-Ing. Philipp Weiˇgraeber

SCIENCE. INDUSTRY. STARTUPS.

STUTTGART CONFERENCE ON AUTOMOTIVE PRODUCTION

PROGRAM Pre-Week 2-8 November 2020 & Virtual Conference 9-10 November 2020 scap2020.arena2036.de

Stuttgart Conference on AutomotiveProduction9-10 November 2020Version October 15, 2020

Dr.-Ing. Frieder HeieckDr.-Ing. Philipp WeißgraeberManuel FechterDavid Korte

Research Campus ARENA2036Pfaffenwaldring 19

70569 Stuttgart

www.arena2036.descap2020.arena2036.de

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http://www.arena2036.de

http://scap2020.arena2036.de

Contents

Preface 4

Scientific committee 4

Overview of the schedule 5

Keynotes 6

Session 1: – Next Generation Automotive Production 8

Session 2: – Data Management & Interoperability 10

Session 3: – Manufacturing Technologies 12

Session 4: – Logistic Concepts and Enabling Technologies 14

Session 5: – Sustainability & Energy Efficiency in Production 16

Session 6: – Body in White & Painting 18

Session 7: – Smart Systems & Services in Manufacturing 20

Startup session 22

Panel discussipn 24

List of all authors 25

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Welcome to the 1st International StuttgartConference on Automotive Production!

With 59 scientific contributions, 4 Keynotes and an individualstartup session, the fully virtual SCAP2020 conference will presentyou current fields of action for automotive value creation from 2 to10 November. Host of the Conference is the ARENA2036 ResearchCampus together with its collaboration partners University ofStuttgart, Fraunhofer IPA and STARTUP AUTOBAHN.In order to fully exploit the benefits of an online conference, allvideo speeches can be watched online during our pre-week from 2-8November. During the actual live conference on November 9 and10, keynotes as well as startup pitches are on display and attendeescan interact with the speakers in Live Video & Chat sessions. Inthis way, we want to make it possible for all our guests to focus onthe scientific contents and at the same time discuss their fields ofinterest with the contributors.In this program booklet you will find an overview and descriptionof the conference contributions in order to select your fields ofinterest.We wish you an enjoyful conference, interesting discussions andexciting insights into the wide range of topics of automotive pro-duction!

Your local organizing team of SCAP2020,

David Korte Manuel Fechter

Frieder Heieck Philipp Weißgraeber

Scientific committee

Thomas Bauern-hansl

Fraunhofer IPA, Stuttgart, Germany

Lionel Birglen Polytechnique Montreal, Canada

Alexander Brem University of Stuttgart, Germany

Johannes Fottner Technical University Munich, Germany

Bronwyn Fox Swinburne University of Technology, Mel-bourne, Australia

Kai Furmans Karlsruhe Institute of Technology, Germany

Marco Huber University of Stuttgart, Germany

Jeng-Ywan Jeng Institute of Mechanical Engineering, Na-tional Taiwan University of Science andTechnology/Taiwan Tech, Taipeh, Taiwan

Taeseok Jeong Ulsan National Institute of Science and Tech-nology, Republic of Korea

Bernd Kuhlenkotter Ruhr University Bochum, Germany

Antonio M. Lopes University of Porto, Portugal

Ole Madsen Aalborg University, Denmark

Peter Middendorf University of Stuttgart, Germany

Peter Ohlhausen Fraunhofer IAO, Stuttgart, Germany

Martin Ruskowski German Research Center for Artificial Intel-ligence, Kaiserslautern, Germany

Robert Schulz University of Stuttgart, Germany

Marcus Strand Baden-Wurttemberg Cooperative State Uni-versity (DHBW), Karlsruhe, Germany

Michael Weyrich University of Stuttgart, Germany

Soumaya Yacout Polytechnique Montreal, Canada

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PROGRAM OVERVIEW

SCAP2020 PRE - WEEKWATCH THE SCIENTIFIC CONTRIBUTIONS

SCAP2020 - LIVE CONFERENCEMEET THE SPEAKERS, WATCH KEYNOTES AND JOIN STARTUP SESSIONS

MON 02 - SUN 08 NOV 2020SCAP VIDEO CHANNEL

TIME (CET) TYPE MON 09 NOV 2020

CONFERENCE DAY 1TUE 10 NOV 2020

CONFERENCE DAY 211:15 Opening Day 1

&Keynote: Jörg Burzer,

Member of the Board of ManagementMercedes-Benz AG

Opening Day 2&

Keynote: Soumaya Yacout,Full Professor at Polytechnique Montréal

12:00

13:30

14:45 Startup SessionPitches by six international startups

Hosted by Startup Autobahn

Live Panel DiscussionScience, industry and startups debate the

future of automotive production

15:45 Keynote: Thomas Bauernhansl, Director

Fraunhofer Institute for Manufacturing, Engineering and Automation IPA

Keynote: Rainer Brehm,CEO Factory Automation

Siemens AG, Digital Industries&

Best Paper & Best Presentation AwardClosing

Meet-up Session 1:Next Generation Automotive Production

Meet-up Session 2:Data Management & Interoperability

Meet-up Session 3: Manufacturing Technologies

Meet-up Session 4: Logistic Concepts and Enabling Technologies

Meet-up Session 5: Sustainability & Energy Effiency in Production

Meet-up Session 6:Body in White & Painting

Meet-up Session 7:Smart Systems & Services in Manufacturing

Lunch Break13:00 Lunch Break

Pre-recorded video talks of all scientific contributions can be streamed during the whole pre-week

Select your field of interest and get ready for the live meet-up sessions with the speakers on conference day 1 and 2

Main Stage Enjoy the speeches

Scientific Meet-up SessionsAsk your questions in interactive chat sessions

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Keynotes

Jorg Burzer

Mercedes-Benz AGMember of the Board ofManagement ofMercedes-Benz AG,Production and SupplyChain

Mo 9th Nov 11:15-12:00 CETJoin at: scap2020.de/keynote1

Factory 56 - Future meets ProductionIn his keynote, Jorg Burzer, Member of the Board of Management ofMercedes-Benz AG for Production and Supply Chain, talks about theproduction of the future at Mercedes-Benz Cars, focusing in particularon the topics of flexibility, sustainability, efficiency, digitalisation andpeople.

Thomas BauernhanslProf. Dr.-Ing.

Fraunhofer Institute forManufacturingEngineering andAutomation IPADirector

Mo 9th Nov 15:45-16:30 CETJoin at: scap2020.de/keynote2

Automating the AutomationThe keynote focuses on customer-centered end-to-end-processes inautomated manufacturing. In analogy to the customer journey in mar-keting, a deep dive into the production journey will consider potentialsfor process simplification, elimination or automation within digitizedmanufacturing tool-chains. The presentation aims at highlightingcross-technological approaches in automation engineering, such asprocess mining for OEE optimization, automated layout generation,task scheduling and resource allocation as well as smart services fordecision support. The keynote will conclude with already implementedand currently intended technological use-cases at Fraunhofer IPA.

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Soumaya YacoutProf. Ing., D.Sc.

Polytechnique Montreal,CanadaFull Professor at theIndustrial Engineering andApplied Mathematics

Tue 10th Nov 11:15-12:00 CETJoin at: scap2020.de/keynote3

Intelligent Applications for Industry 4.0,Maintenance 4.0, and Quality 4.0Despite the fact that infrastructural industry 4.0-prerequisites andtechnologies are known and available, the actual implementation isyet to come. In this keynote, we highlight the importance of thevalue-added and innovative applications that use the Industry 4.0platform. We present our platforms for intelligent and autonomousreal-time and online production planning, scheduling and dispatching,for autonomous maintenance 4.0, and for quality assurance 4.0. Webuild digital twins that will provide real-time information on systems’,equipments’, and products’ states.

Rainer Brehm

Siemens AG, DigitalIndustriesCEO Factory Automation

Tue 10th Nov 15:45-16:30 CETJoin at: scap2020.de/keynote4

Digital Enterprise – Partnering for the next stepIn this keynote, Rainer Brehm, CEO Factory Automation Siemens AG,talks about the future of production. Speed is getting more and moreimportant with focus on the three main levers integration of OT and IT,simulation and digital optimization and highly flexible manufacturingsystems. A seamless tool chain for a digital optimized engineeringwith virtual commissioning allow fast product modifications. Newtechnologies as artificial intelligence and open edge ecosystems enableautonomous production and new business models.

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Session 1:Next Generation AutomotiveProduction

This session focuses on new concepts for automotiveproduction systems encountering the demands of volatilemarkets and further increasing product variants. Thissession also considers new approaches for optimizedassembly planning and production control as well as theintroduction of new vehicle concepts.

Chair person:Petra Foith-ForsterFraunhofer Institute for ManufacturingEngineering and Automation

Pre-week w/ online video channels:2nd-8th Nov

Scientific session w/ live-chat and discussion:Mo 9th Nov 12:00-13:00 CET

Join at:scap2020.de/session1

1.1 Fluid Production Systems (FPS) - novel approachfor versatility in productionChristian Fries, Michael Trierweiler, Daniel Ranke, Anwar AlAssadi, Hans-Hermann Wiendahl, Petra Foith-Forster, ManuelFechter, Thomas Bauernhansl

This paper outlines the Fluid Production System (FPS). Withinthe FPS processes are continuously assessed, benchmarked andre-configured matching the functional capabilities of productionand logistic resources to the actual requirements.

1.2 Identification of reconfiguration demand andgeneration of alternative configurations forCyber-Physical Production SystemsTimo Muller, Simon Walth, Nasser Jazdi, Michael Weyrich

- Motivation of reconfiguration demand- Presentation of a basic concept for a self-organizedreconfiguration management- Focus on the methodology for the first two steps andinformation modeling utilizing the formalized process description

1.3 Operative Control of Production Equipment inMatrix Structured Assembly SystemsMichael Trierweiler, Thomas Bauernhansl

A method is outlined of how to find an optimal configuration ofthe production equipment of a matrix structured assemblysystem. In this way, the changeability of the assembly system canbe used to optimize the achievement of set production targets.

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1.4 A User-friendly Assembly Planning Tool forAssembly Sequence OptimizationDominik Schopper, Claudia Tonhauser, Stephan Rudolph

This work presents a user-friendly assembly planning tool forassembly sequence optimization including a graphical userinterface for easy input modeling.

1.5 Agile hybrid assembly systems: bridging the gapbetween line and matrix configurationsAmon Goppert, Esben Schukat, Peter Burggraf, Robert H.Schmitt

Segment and use-case oriented design of reactive andreconfigurable assembly systems by implementing flexibleinfrastructure, dynamical planning and control and a fullyintegrated system model.

1.6 Development of an integrated data-driven processto handle uncertainties in multi-variant production andlogistics: A surveySimon Durr, Matthias Kauffmann, Raphael Lamprecht, JorgWinter, Heinz Alexy, Marco Huber

Flexibility and stability are indispensable factors across theautomotive supply chain. The objective of this paper is tovalidate methods in order to develop a data-driven process tohandle uncertainties in multi-variant production and logistics.

1.7 Method for Data-driven Assembly SequencePlanningSusann Karcher, Thomas Bauernhansl

Method to optimize assembly sequence planning based on actualdata

1.8 A novel approach to generate assembly instructionsautomatically for CAD modelsAlexander Neb, Johannes Scholz

This work presents a novel approach to generate assemblyinstructions directly and automatically from CAD models of thedesigners. The approach was validated by three different models,an assembly benchmark, a single-cylinder engine and a gear box.

1.9 Highly integrative rear end concept of batteryelectric vehiclesDominik Klaiber, Philipp Kellner, Matthias Biegerl, GabrieleGorbach, Thomas Gotz, Marco Schneider

The conception of a highly integrative rear end of a bev showsthat significant weight reductions can be achieved through theuse of new material, process and joining technologies for themain components battery system, chassis and body.

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Session 2:Data Management &Interoperability

This session addresses product management forconnected industries, such as new concepts for wirelesscommunication as well as semantic technologies for datainteroperability. The session ends with the introductionand outlook into the all new assembly administrationshell concept implemented at ARENA2036.

Chair person:Marco HuberInstitute of Industrial Manufacturing andManagement, University of Stuttgart




2.1 On automation along the automotive wire harnessvalue chainMarc Eheim, Dennis Kaiser, Roland Weil

Ambitious reduction of harness design time and cost by at least50% can only be achieved by automation. In the ITEA3-ProjectIDEALISM, it is shown how the automation of 3D wire harnessgeneration can be achieved using graph-based design languages.

2.2 Digital Modeling of the Product life-cycle:essentials of 5 years of ZAFH researchMarkus Till, Stephan Rudolph

The capability of graph-based design languages to digitallymodel the product life-cycle including design, functionalverification, production planning and digital factory generation isdemonstrated using the example of a car front hood.

2.3 Generic and Scalable Modeling Technique forAutomated ProcessesMartin Karkowski

Adaptable assembly systems help in the challenges of theautomotive industry, but they strongly depent on softwaresupport. This creates a new void in planning andimplementation processes. We present a lean approach forimplementing such systems.

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2.4 The role of AutomationML within an industry 4.0environmentJiaqi Zhao, Johannes Cottyn

AutomationML is an open data exchange format for digital twinof automation system. However, there is no comprehensiveliterature review on AutomationML. This paper gives a detailedreview and analysis on the current research status ofAutomationML.

2.5 An ISA-95-based Middle Data Layer Solution toSupport Data Standardization for System Integrationin Factory AutomationChen Li, Soujanya Mantravadi, Casper Schou, Hjalte Nielsen,Ole Madsen, Charles Møller

We proposed an ISA-95 based middle data layer to standardizeand formalize the data structure for system integration in factoryautomation.

2.6 Deep Reinforcement Learning for IoTInteroperabilitySebastian Kloser, Sebastian Kotstein, Timo Zerrer, ChristianDecker

The HHZ and DXC work on approaches to achieve IoTinteroperability with Deep Reinforcement Learning. We presentour methodology and an early prototype which demonstrates theability to learn and adapt a RESTful interface based on apredefined task.

2.7 Structured information processing as enabler ofversatile, flexible manufacturing conceptsSimon Komesker, Wolfgang Kern, Achim Wagner, MartinRuskowski, Thomas Bauernhansl

Highly efficient production systems in the automotive industryrequire the implementation of a different manufacturing concept.Intelligent information processing raises the implementationefforts to the next level.

2.8 A lightweight implementation of the AssetAdministration Shell concept for practical use and easyadaptationDaniel Ewert, Thomas Jung, Thomas Stiedl

We implemented a generic and lightweight middleware whichfollows the concept of Asset Administration Shells. However, toallow for easy adaption and setup by a diverse range of partnerwe simplified modelling requirements and data exchange.

2.9 Wireless industrial networks for real-timeapplicationsJorge Juarez, Stefan Lipp

Comparison of ongoing activities in ultra-reliable and real-timeradio technologies with focus on 3GPP, IEEE, ETSI and theFraunhofer IIS technology UWIN.

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Session 3:Manufacturing Technologies

This session focuses on manufacturing technologies,such as joining technologies e.g. the appropriate use oflaser in manufacturing, additive manufacturing andcomposite materials.

Chair person:Frieder HeieckARENA2036




3.1 Selective assembly strategy for quality optimizationin a laser welding processManuel Kaufmann, Marco Huber, Ira Effenberger

Selective assembly of components is employed to optimizeassembly quality. An industrial use case is studied consideringeconomic restrictions. By using virtual assembly and a globaloptimization approach, best combinations of parts aredetermined.

3.2 A Universal Machine: Enabling DigitalManufacturing with Laser TechnologyThomas Graf, Volkher Onuseit, Max Hoßfeld

The laser has the highest potential to enable trulycomprehensive reconfigurable production systems as required fordigital manufacturing.

3.3 A new concept for producing high strengthaluminum line joints in car body assembly by arobot-guided friction stir welding gunDominik Walz, Martin Werz

Joining high-strength aluminum alloys through a kinematicallynew friction stir welding gun with a universal anvil concept,developed at the MPA University of Stuttgart.

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3.4 Experimental and theoretical study on depth ofcure during UV post-curing of photopolymers used foradditive manufacturingJan Nitsche, Tristan Schlotthauer, Florian Hermann, PeterMiddendorf

Method to determine post-curing depth of Stereolithographyparts for automotive applications by hardness and transmissionmeasurements.

3.5 Simulation supported manufacturing of profiledcomposite parts with the braiding techniqueJorg Dittmann, Mathieu Vinot, Peter Middendorf, NathalieToso

This work focuses on the investigation of the braiding techniqueas an adapted manufacturing process for the automatedproduction of profiled structures. Finite-element simulations areperformed to predict the braid’s architecture and properties.

3.6 Integrated machining, sealing and qualityinspection for CFRP componentsPhilipp Esch, Andreas Gebhardt, Oliver Tiedje, AndreasFrommknecht

A fully integrated processing concept for CFRP components ispresented. The concept includes machining, cleaning, qualityassessment and sealing.

3.7 Multi-robotic composite production of complex andlarge-scaled components for the automotive industryFlorian Helber, Stefan Carosella, Peter Middendorf

The Advanced Ply Placement handling approach enables layupof unidirectional fabrics onto complex, double-curved geometries.The working principles of the APP layup process is describedand the applicability in the automotive industry is discussed.

3.8 Enhancing textile forming using textile-appliedstrain sensors and segmented blank holder systemsJulian Fial, Stefan Carosella, Peter Middendorf

This paper describes the in-situ monitoring of specific textiledeformation mechanisms during the draping of carbon fibrefabrics. These mechanisms are measured using printed strainsensors and locally manipulated by segmented blankholders.

3.9 Production of thin outer skin car body panels byusing novel Short Cycle Stretch-forming (SCS)technologyMathias Liewald, Adrian Schenek

Production of thin outer skin car body panels by using novelShort Cycle Stretch-forming (SCS) technology

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Session 4:Logistic Concepts and EnablingTechnologies

This session discusses logistics concepts for matrixstructured production systems, also looking into AGVtechnologies as well as supply chain management inbattery production. The session concludes with anoutlook into safety considerations for collaborationbetween human and machine.

Chair person:Robert SchulzInstitute of Mechanical Handling and Logistics,University of Stuttgart




4.1 Evaluation of material supply strategies inmatrix-structured assembly systemsDaniel Ranke, Thomas Bauernhansl

Evaluation of material supply strategies regarding theirsuitability in matrix-structured assembly systems.

4.2 Implementation of a goods-to-man concept bymeans of automated guided vehicles and a flexible fleetmanagementJulian Popp

Manufacturing companies face new requirements regardingflexibility and rising number of variants for material provisioning.The presentation shows a goods-to-man solution using automatedguided vehicles (AGVs) to supply in time and in sequence direc

4.3 Novel Autonomous Guided Vehicle System for theUse in Intra-Company LogisticsJavier Stillig

Using the simply designed ‘Box-AGV’ on the Intelligent Floorguided and powered by its LED stripes resp. wireless powertransfer units, is a promising approach for material transport inthe convertible production.

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4.4 Increased Agility by Using Autonomous AGVs inReconfigurable FactoriesDaniel Strametz, Michael Reip, Rudolf Pichler, MartinHoffernig, Michael Pichler

The research develops an AGV control system that is able toprocess dynamically changing location data by using 5Gcommunication. The testing environment will be the pilotfactory at the Graz University of Technology with its 5G campussolution.

4.5 Towards Artifical Perception for AutonomousMobile Robots in LogisticsChristopher Mayershofer, Johannes Fottner

Towards Artificial Perception for Autonomous Mobile Robots inLogistics – A Paradigm Shift

4.6 Concept of a safety-related sensor system forcollaboration between human and automated guidedvehiclesDavid Korte

Convertible production systems require sensor systems with agreater functionality for reliable collaboration between humanand machine. In this paper, a concept of such a sensor systemwill be presented.

4.7 Safety and operating concept for collaborativematerial flow systemsMatthias Hofmann

The production of automobiles with fundamentally varyingtechnical specifications requires a flexible and scalableproduction. Collaborative intralogistics components cancontribute to the efficient production of batch size one.

4.8 Merging compliant safe collaborative andhigh-accuracy operations in industrial robots: a modelpredictive controller for adaptive behaviorAndreas Otto, Shuxiao Hou, Uwe Frieß, Marcel Todtermuschke,Mohamad Bdiwi

An online task-oriented path planner is combined with anenhanced model predictive controller to satisfy diverse andsometimes contradictory demands on industrial robots, such ashigh-accuracy or compliant safe behavior in human robotcollaboration.

4.9 Industrial Indoor Localization: Improvement oflogistics processes using location based servicesNiklas Hesslein, Mike Wesselhoft, Johannes Hinckeldeyn,Jochen Kreutzfeldt

This paper presents an open source framework for indoorlocalization data from different sources, usable for improvinglogistics processes.

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Session 5:Sustainability & Energy Efficiencyin Production

This session highlights new concepts for smart energystorage and management in production. It furthermoreconsiders new approaches for sustainable productionequipment strategies. The session concludes with anoutlook into business model innovations withinautomotive manufacturing.

Chair person:Bronwyn FoxSwinburne University of Technology, Melbourne


Scientific session w/ live-chat and discussion:Tue 10th Nov 12:00-13:00 CET


5.1 FlexPress - An implementation of energy flexibilityat shop-floor level for compressed-air applicationsCan Kaymakci, Christian Schneider, Alexander Sauer

Sustainable manufacturing processes in the automotive industryneed to be more energy efficient and adaptable in their energydemand. FlexPress is an implementation of energy flexibility onshop-floor level.

5.2 Automated environmental assessment via an assetadministration shellAnwar Al Assadi, Lara Waltersmann, Robert Miehe, AlexanderSauer, Manuel Fechter

Due to growing public awareness and customers’ expectations insustainability, it is important for enterprises to assess & reducetheir environmental footprint. An asset administration shellenables an automated environmental evaluation.

5.3 Economic feasibility of highly adaptable productionsystemUrs Leberle, Yannick-Leon Weigelt

This article presents an approach which allows to assess theeconomic feasibility of highly adaptable production systems,which are reconfigured repeatedly to adapt to products, processesand technologies that are unknown during planning and launch.

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5.4 Developing Technology Strategies for Flexible andChangeable Automotive Products and ProcessesLukas Block, Maximilian Jakob Werner, Matthias Mikoschek

A technology intelligence approach to reveal efficient extensionpoints for flexibility and changeability in products andmanufacturing processes

5.5 A novel ‘Automated Hardware Upgrade Service’for Manufacturing SystemsMartin Reisinger, Christian Schneider, Nicolas Heßberger,Alexander Sauer, Thomas Adolf

We share here the concept of a digital service providingassistance for energy efficient replacement investments of energyconsuming physical assets (Hardware) by continuouslycalculation the life-cycle-costs of the underlying assets and moreenergy

5.6 Robotising, but how? Organisational innovationand heterogeneity in the use of digital productiontechnologies. Evidence from Japanese and Germancompanies in the automotive sector.Guendalina Anzolin, Antonio Andreoni

This paper analyses how industrial robots are deployed in theautomotive sector, and compare the organisational models acrossseveral OEMs. We find two distinctive models, the GermanOEMs (BMW and VW) and the Japanese OEMs (Toyota andNissan).

5.7 New approaches for business model innovation inmanufacturing equipment companiesTobias Stahl, Alberto Mesa Cano

OEMs demand adaptable machines that support theimplementation of flexible production systems. This paperpresents approaches for business model innovation as a way ofmitigating financial risks at manufacturing equipment suppliercompanies.

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Session 6:Body in White & Painting

This session addresses current research into metalforming, bonding and painting while also consideringfully flexible body-in-white production concepts toencounter volatile market demands. The session endslooking into cleanliness technologies for batteryproduction systems.

Chair person:Manuel FechterFraunhofer Institute for ManufacturingEngineering and Automation IPA




6.1 The fully flexible body shop - a holistic approachfor the vehicle production of tomorrowMarcel Todtermuschke, Alexander Voigt, Rayk Fritzsche, JensLippmann

Flexibility for all different models within one production lineachieved without changing jigs, grippers as well as joining tools,supported by a new method for planning and design as well astaking into account control standard and logistics needs

6.2 Automated generation of clamping concepts andassembly cells for car body parts for the digitalizationof automobile productionMarkus Till, Andreas Zech, Ralf Stetter

The focus of this paper is the automated generation of assemblyprocesses and assembly resources (e.g. type-related productionequipment such as clamping devices, an assembly cell and wring)using the example of automotive body parts.

6.3 Adjustable Hemming DieArndt Birkert, Moritz Nowack

The completely new adjustable hemming die allows to influencethe fitting accuracy of car body hang-on-parts exclusively in thebody shop at a minimum expenditure of time and costs.

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6.4 Modelling Defects of Unhardened AdhesivesResulting from Handling and Warpage: ViscousFingeringSilvio Facciotto, Daniel Sommer, Andre Haufe, Martin Helbig,Peter Middendorf

Process simulation of adhesive bonds in hybrid body-in-whiteparts with regard to effects from handling and curing is discussed.Capturing the viscous fingering effect in bond lines of uncuredadhesives with finite element simulation is focused here.

6.5 A self-programming painting cell �SelfPaint�:Simulation-based path generation with automizedquality control for painting in small lot sizesNico Guttler, Niklas Sandgren, Stefan Weber, Philipp Knee,Raad Salman, Jens Klier, Fredrik Edelvik, Oliver Tiedje

Cyber-physical painting system for automatic robot pathgeneration based on 3D-scanning, multi-physics paintingsimulation, and contactless quality control.

6.6 Less chemicals and more power: Pulsed ElectricField (PEF) treatment for reduction ofmicroorganisms. A biocide-free bath maintenancemethod in pretreatment of dip coating plants.Philipp Preiß, Claus Lang-Koetz, Wolfgang Frey, MonikaBohem, Norman Poboß, Stefan Dekold

Less chemicals and more power: Pulsed Electric Field (PEF)treatment instead of chemical biocides for reduction ofmicroorganisms (MOs) as sustainable and efficient alternative forbath maintenance in pretreatment and dip coating plants.

6.7 Safety in electromobility – Technical cleanlinessbetween the poles of design requirements and efficientproductionPatrick Brag, Markus Rochowicz

With electromobility, cleanliness requirements are rising andbecoming harder to realize. Where can development relieveproduction and where must production technology improve?

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Session 7:Smart Systems & Services inManufacturing

This session takes a look into current research fordeep-learning in production, robotics, the appropriateuse of wearables, predictive maintenance and digital twintechnologies.

Chair person:Ole MadsenAalborg University, Denmark




7.1 Deep Learning Enabled Real Time In Site QualityInspection Based On Gesture Classification and ForceEstimationIoan-Matei Sarivan, Daniel Diez Alvarez, MatthiasReichenbach, Simon Bøgh, Ole Madsen

A novel method for performing in site real time qualityinspection during manual processes. Signals gathered at theworker’s wrist level are processed through a deep neural networkto classify the actions as successful or unsuccessful.

7.2 Robotic Arm’s Anomalies and DegradationMonitoring and detection by Using Machine LearningHussein. A Taha, Soumaya Yacout, Lionel Birglen

We propose an AI tool to detect to detect anomalies anddegradation of the robotic arm for position health assessmentwithout the need for special advanced sensors

7.3 Using Deep Neural Networks to SeparateEntangled Workpieces in Random Bin PickingMarius Moosmann, Felix Spenrath, Manuel Monnig,Muhammad Usman Khalid, Richard Bormann

In many random bin picking applications, entanglements whichcause the robot to pick multiple parts can be a problem. Thispaper proposes a method to separate entangled workpiecesituations by machine learning guided robot movements.

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7.4 Automatic gripping point generation for vacuumgrippers for Random Bin PickingMuhammad Usman Khalid, Felix Spenrath, Manuel Moennig,Marius Moosmann, Richard Bormann, Holger Kunz, MarcoHuber

In bin picking, gripping points are often defined manually whichrequires time and expertise. Here, we propose a method whichgenerates and prioritizes gripping points for vacuum grippers byanalyzing the CAD model of a work piece and the gripper.

7.5 Interface-free connection of mobile robot cells tomachine tools using a camera systemJohannes Abicht, Torben Wiese, Steffen Ihlenfeldt

The paper presents a robot cell concept, which emulates thehuman operator for carrying out secondary activities on machinetools without any mechanical or electrical connection. Theconcept utilizes a machine vision system and existing HMIdevices.

7.6 Flat knitted sensory work glove for processmonitoring and quality assuranceSarah Kim, Paul Hofmann, Hermann Finckh, AlbrechtDinkelmann, Gotz T. Gresser

Knitted sensors are integrated into a completely knitted workglove for the detection of touches and gripping forces inproduction processes. Thus, textile aspects such as drapingproperties, elasticity, and breathability are retained.

7.7 A Framework for Digital Twin Deployment inProduction SystemsAyman Aboelhassan, Ahmed Sakr, Soumaya Yacout

A framework for the deployment of a digital twin in productionsystems using the current technologies and simulation tools.

7.8 The smart factory and the unique digital order twinWilmjakob Herlyn

This paper develops a concept for a Digital-Order-Twin which isneeded to plan the entire order flow of each individual productand to harmonize all customer orders in a smart factory inconnection with the real and virtual products

7.9 Predictable and real-time message-basedcommunication in the context of control technologyTimur Tasci, Marc Fischer, Armin Lechler, Alexander Verl

To ensure the feasibility of a container-based architecture, aconcept for the communication between containerizedapplications has to be developed.

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Startup session

Startups play a crucial role in today’s technologicalprogress by spurring innovation and injectingcompetition. Together with our collaboration partnerSTARTUP AUTOBAHN, SCAP2020 presents sixinternational startups from a broad technological fieldwith the potential to significantly impact automotiveproduction.

Hosted by:

Moderator:Holly ClaymanSTARTUP AUTOBAHN

Live session w/ presentations:9th of Nov 14:45 - 15:45 CET

Join at:scap2020.de/startup

plus10 GmbH

How plus10-Shannon generates 10% more outputof fully automated production linesFully automated production lines are complex and extremely expensive. At

the same time they often do not meet efficiency expectations due to complex

errors, unknown stop reasons or scrap influences. The Fraunhofer AI Spinoff

plus10 GmbH developed suitable AI tools creating a closed-loop optimization

system.

Felix Georg MullerCEO, Co-Founder

Blickfeld GmbH

Blickfeld 3D LiDAR systems for intelligent environ-ment perceptionBlickfeld gives autonomous systems the eyes to see the world with revo-

lutionary scanning LiDAR systems and detection software for environment

perception. The proprietary solution enables countless scenarios like au-

tonomous transportation, robotics, and smart logistics.

Florian PetitCo-Founder

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Automation Acoustics

Weld monitoring, made simple.Automation Acoustics is an industrial monitoring platform that analyses

the sound emitted from production processes. Deviation from acceptable

standards are identified and communicated in real-time.

Anthony LeleCEO, Founder

Circulor

Greener manufacturing:traceability in supply chainsSupply chain sustainability and responsible sourcing are essential to the energy

transition. Supply chain traceability is a key enabler of greener manufacturing

and Circulor is a pioneer in this space.

Doug Johnson-PoensgenCEO,Co-Founder

drag and bot GmbH

drag&bot: an easy to use solution for flexibleplanning, programming and operation of industrialrobotsThe talk will give an introduction and demonstration of how drag&bot

can be used for planning of robot solutions in the cloud-based drag&bot

SIMULATION and can then be deployed seamlessly to a real robot system.

Martin NaumannCEO

AUTONOMOUS INTRALOGISTICS

NAiSE GmbH

Beyond Indoor Positioning and navigation: a holis-tic fleet manager system for a smarter industryA holistic fleet manager system for the integration of robots from different

manufacturers with all industrial agents and diverse automation processes,

optimizing efficiency and traffic control.

Raphael KB de AlmeidaCEO

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Panel discussion

In this panel discussion a set of experts from industry,science and startups will exchange their views on thefuture of automotive production. A debate ontechnological trends and cultural change. Stay tuned foran intense and insightful debate!

Moderator:Clemens AckermannARENA2036

Live Panel discussion:10th of Nov 14:45 - 15:45 CET

Join at:scap2020.de/panel

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Contributor index

AAbicht J, 21Aboelhassan A, 21Adolf T, 17Al Assadi A, 8, 16Alexy H, 9Andreoni A, 17Anzolin G, 17

BBauernhansl T, 8, 9, 11, 14Bøgh S, 20Bdiwi M, 15Biegerl M, 9Birglen L, 20Birkert A, 18Block L, 17Bohem M, 19Bormann R, 20, 21Brag P, 19Burggraf P, 9

CCarosella S, 13Cottyn J, 11

DDurr S, 9de Almeida R, 23Decker C, 11Dekold S, 19Diez Alvarez D, 20Dinkelmann A, 21

Dittmann J, 13

EEdelvik F, 19Effenberger I, 12Eheim M, 10Esch P, 13Ewert D, 11

FFacciotto S, 19Fechter M, 8, 16Fial J, 13Finckh H, 21Fischer M, 21Foith-Forster P, 8Fottner J, 15Frey W, 19Frieß U, 15Fries C, 8Fritzsche R, 18Frommknecht A, 13

GGoppert A, 9Gotz T, 9Guttler N, 19Gebhardt A, 13Gorbach G, 9Graf T, 12Gresser GT, 21

HHoffernig M, 15

Haufe A, 19Heßberger N, 17Helber F, 13Helbig M, 19Herlyn W, 21Hermann F, 13Hesslein N, 15Hinckeldeyn J, 15Hoßfeld M, 12Hofmann M, 15Hofmann P, 21Hou S, 15Huber M, 9, 12, 21

IIhlenfeldt S, 21

JJazdi N, 8Johnson-Poensgen D, 23Juarez J, 11Jung T, 11

KKarcher S, 9Kaiser D, 10Karkowski M, 10Kauffmann M, 9Kaufmann M, 12Kaymakci C, 16Kellner P, 9Kern W, 11Khalid MU, 20, 21

Kim S, 21Klaiber D, 9Kloser S, 11Klier J, 19Knee P, 19Komesker S, 11Korte D, 15Kotstein S, 11Kreutzfeldt J, 15Kunz H, 21

LLamprecht R, 9Lang-Koetz C, 19Leberle U, 16Lechler A, 21Lele A, 23Li C, 11Liewald M, 13Lipp S, 11Lippmann J, 18

MMadsen O, 11, 20Monnig M, 20Mantravadi S, 11Muller F, 22Muller T, 8Mayershofer C, 15Møller C, 11Mesa Cano A, 17Middendorf P, 13, 19Miehe R, 16

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Mikoschek M, 17Moennig M, 21Moosmann M, 20, 21

NNaumann M, 23Neb A, 9Nielsen H, 11Nitsche J, 13Nowack M, 18

OOnuseit V, 12Otto A, 15

PPetit F, 22Pichler M, 15Pichler R, 15Poboß N, 19Popp J, 14Preiß P, 19

RRanke D, 8, 14Reichenbach M, 20Reip M, 15Reisinger M, 17Rochowicz M, 19Rudolph S, 9, 10Ruskowski M, 11

SSakr A, 21Salman R, 19Sandgren N, 19Sarivan IM, 20Sauer A, 16, 17Schenek A, 13Schlotthauer T, 13Schmitt RH, 9Schneider C, 16, 17Schneider M, 9Scholz J, 9Schopper D, 9Schou C, 11

Schukat E, 9Sommer D, 19Spenrath F, 20, 21Stahl T, 17Stetter R, 18Stiedl T, 11Stillig J, 14Strametz D, 15

TTaha HA, 20Tasci T, 21Tiedje O, 13, 19Till M, 10, 18Todtermuschke M, 15, 18Tonhauser C, 9Toso N, 13Trierweiler M, 8

VVerl A, 21Vinot M, 13Voigt A, 18

WWagner A, 11Waltersmann L, 16Walth S, 8Walz D, 12Weber S, 19Weigelt YL, 16Weil R, 10Werner MJ, 17Werz M, 12Wesselhoft M, 15Weyrich M, 8Wiendahl HH, 8Wiese T, 21Winter J, 9

YYacout S, 20, 21

ZZech A, 18Zerrer T, 11Zhao J, 11

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STUTTGART CONFERENCE ON AUTOMOTIVE PRODUCTION

Research Campus ARENA2036Pfaffenwaldring 19

70569 Stuttgart

www.arena2036.descap2020.arena2036.de

Documents

STUTTGART CONFERENCE ON AUTOMOTIVE PRODUCTION...Stuttgart Conference on Automotive Production 9-10 November 2020 Version October 9, 2020 Dr.-Ing. Frieder Heieck Dr.-Ing. Philipp Weiˇgraeber