Project Details
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EXC 128:  Integrative Production Technology for High-Wage Countries

Subject Area Production Technology
Term from 2006 to 2018
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 25065172
 
Final Report Year 2019

Final Report Abstract

For more than a decade, the Cluster of Excellence (CoE) “Integrative Production Technology for High-Wage Countries” has shaped production research in Aachen. The CoE laid the foun-dation for the vision of the new Cluster of Excellence “Internet of Production” (IoP) started in January 2019. It provides methods to resolve the polylemma of production: (i) manufacturing products at mass production costs (scale) that perfectly match individual customer demands (scope); and (ii) optimizing synchronization of production resources (plan) while simultaneous-ly achieving highest system dynamics [BREC17]. The CoE has been the anchor for numerous follow-up initiatives in research, innovation and education. Highlights include the initiatives on electro-mobility production (StreetScooter, e.Go) and new buildings on RWTH Aachen Cam-pus. To address new emerging aspects in science, the CoE has initiated projects such as a feasibility study in fields like self-learning behavioral strategies for robots (project “Cognition-Enhanced Self-Optimization” - CENSE), or data analytics and Machine Learning for deeper insights in manufacturing processes (project “Biological Inspired Learning Processes for Ma-chines in Production” - BRAIN). By means of these projects, further industrial partners (e.g. Audi and Opel) have been involved in the CoE’s activities. The CoE was linked to all measures of Aachen RWTH University’s Institutional Strategy. The profile of production technology in Aachen has mainly been influenced by means of fostering inter disciplinary research. Operationally, this has been realized by means of so called Project Houses. Several of these Project Houses are related to the current CoE and have been estab- lished during the recent years. On a strategic level, the Profile Areas and the involved CoE PIs Prof. Klocke and Prof. Kowalewski (as spokesmen) contribute towards interdisciplinary re- search in production by integrating the CoE into the University network. The measure “Place to Be” contributes amongst other activities to outstan ding research achievements that signifi- cantly contributed to the University’s success. A further activity of this measure is to attract ex- cellent researchers to RWTH Aachen. With Prof. Schleifenbaum, an associated partner of the CoE, the area for Digital A dditive Production was institutionally established in Aachen. Based on the existing scientific and structural foundations, the vision of the Internet of Production is integrated into an optimal framework and best practices from the past.

Link to the final report

https://dx.doi.org/10.2314/GBV:1696287766

Publications

  • (2011) Characterisation of plasma-sprayed SrFe12O19 coatings for electromagnetic wave absorption. Journal of the European Ceramic Society 31(8): 1439–1449
    Bobzin K, Bolelli G, Bruehl M, Hujanen A, Lintunen P, Lisjak D, Gyergyek S, Lusvarghi L
    (See online at https://doi.org/10.1016/j.jeurceramsoc.2011.02.003)
  • (2011) Cross-Functional Integration of R&D, Marketing, and Manufacturing in Radical and Incremental Product Innovations and Its Effects on Project Effectiveness and Efficiency. In: Journal of Product Innovation Management 28, pp 251–269
    Brettel M, Heinemann F, Engelen A, Neubauer S
    (See online at https://doi.org/10.1111/j.1540-5885.2011.00795.x)
  • (2011) Integrative Production Technology for High-Wage Countries. Springer, Berlin
    Brecher C, (Ed.)
    (See online at https://doi.org/10.1007/978-3-642-21067-9)
  • (2011) Investigation on incremental sheet forming combined with laser heating and stretch forming for the production of lightweight structures. In: KEM 473, pp 919-928
    Taleb-Araghi B, Göttmann A, Bergweiler G, Saeed-Akbari A, Bültmann J, Zettler J, Bambach M, Hirt G
    (See online at https://doi.org/10.4028/www.scientific.net/KEM.473.919)
  • (2012) Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations. In: van der Aalst W, Mylopoulos J, Rosemann M et al. (eds) Enterprise Information Systems, vol 102. Springer Berlin, pp 51–65
    Meisen T, Meisen P, Schilberg D, Jeschke S
    (See online at https://doi.org/10.1007/978-3-642-29958-2_4)
  • (2012) Cognitive engineering of automated assembly processes. In: Human factors and ergonomics in manufacturing & service industries 24(3), pp 348–368
    Mayer M, Odenthal B, Faber M, Winkelholz C, Schlick C
    (See online at https://doi.org/10.1002/hfm.20390)
  • (2012) Corporate effectuation. Entrepreneurial action and its impact on R&D project performance. In: Journal of Business Venturing 27, pp 167–184
    Brettel M, Mauer R, Engelen A, Küpper, D
    (See online at https://doi.org/10.1016/j.jbusvent.2011.01.001)
  • (2012) Entwicklung eines kognitionsergonomischen Konzeptes und eines Simulationssystems für die robotergestützte Montage. Shaker Verlag, Aachen
    Mayer M
  • (2012) Self-optimising assembly systems based on cognitive technologies. In: Brecher C (2012) Production technologies for high-wage countries, pp 894–946
    Mayer M, Odenthal B, Ewert D, Kempf T, Behnen D, Büscher C, Kuz S, Müller S, Hauck E, Kausch B, Schilberg D, Herfs W, Schlick C, Jeschke S, Brecher C
    (See online at https://doi.org/10.1007/978-3-642-21067-9_6)
  • (2013) A novel approach for temperature control in ISF supported by laser and resistance heating. In: Int J Adv Manuf Technol 67(9-12):2195–2205
    Göttmann A, Bailly D, Bergweiler G, Bambach M, Stollenwerk J, Hirt G, Loosen P
    (See online at https://doi.org/10.1007/s00170-012-4640-z)
  • (2013) Efficient utilization of production resources in the use phase of multi-technology machine tools. In: Production Engineering 7(4):443–452
    Brecher C, Breitbach T, Do-Khac D, Bäumler S, Lohse W
    (See online at https://doi.org/10.1007/s11740-013-0455-5)
  • (2013) Fabrication of Hierarchical Structures by Direct Laser Writing and Multi- Beam-Interference. In: Journal of Laser Micro/Nanoengineering 8(3), pp 210-215
    Steger M
    (See online at https://doi.org/10.2961/jlmn.2013.03.0005)
  • (2013) From Orthogonal Cutting Experiments towards Easy-to-Implement and Accurate Flow Stress Data. In: Materials and Manufacturing Processes 28 (11), pp 1222-1227
    Klocke F, Lung D, Buchkremer S
    (See online at https://doi.org/10.1080/10426914.2013.811738)
  • (2013) Multiple intensity distributions from a single optical element. In: Winston R, Gordon J (Eds) Nonimaging Optics: Efficient Design for Illumination and Solar Concentration X
    Berens M, Bruneton A, Bäuerle A, Traub M, Wester R, Stollenwerk J, Loosen P
    (See online at https://doi.org/10.1117/12.2026516)
  • (2013) Properties of Friction Stir Welded Blanks Made from DC04 Mild Steel and Aluminum AA6016. In: Advanced Materials Research 769:237–244
    Göttmann A, Mertin C, Mosecker L, Naumov A, Bambach M
    (See online at https://doi.org/10.4028/www.scientific.net/AMR.769.237)
  • (2013) Supporting Technology Transfer via Webbased Platforms. In: PICMET 2013
    Schuh G, Aghassi S, Caléro Valdez A
  • (2013) Supporting Technology Transfer with Communities and Social Software Solutions In: ICETM 2013, pp 553-561
    Schuh G, Aghassi S
  • (2013) Technology Transfer Portals: A Design Model for Supporting Technology Transfer via Social Software Solutions In: IEEM 2013
    Schuh G, Aghassi S
    (See online at https://doi.org/10.1109/IEEM.2013.6962371)
  • (2013) Value-oriented layout planning using the Virtual Production Intelligence (VPI). In: POM 2013 : 24th Annual Conference of the Production and Operations Management Society ; Integrating Practice In Pom Research And Teaching, 10 pp
    Kampker A, Kreisköther K, Burggräf P et al.
  • (2014) A method to quantitatively upscale the damage initiation of dual-phase steels under various stress states from microscale to macroscale. Computational Materials Science 94: 245-257
    Lian J, Yang H, Vajragupta N, Münstermann S, Bleck W
    (See online at https://doi.org/10.1016/j.commatsci.2014.05.051)
  • (2014) A New Process Design for Performing Holeflanging Operations by Incremental Sheet Forming. In: Procedia Engineering 81:2305–2310
    Bambach M, Voswinckel H, Hirt G
    (See online at https://doi.org/10.1016/j.proeng.2014.10.325)
  • (2014) Characteristics of testing conditions for constitutive models in metal plasticity. In: Journal of Engineering Mathematics 88(1): 99-119
    Bambach M, Bücker M, Heppner S, Herty M, Vladimirov I
    (See online at https://doi.org/10.1007/s10665-013-9681-2)
  • (2014) Development of (Cr,Al)ON coatings using middle frequency magnetron sputtering and investigations on tribological behavior against polymers. In: Surface and Coatings Technology 260, pp 347-361
    Bagcivan N, Bobzin K, Brögelmann T, Kalscheuer C
    (See online at https://doi.org/10.1016/j.surfcoat.2014.09.016)
  • (2014) Enhancing Scientific Cooperation of an Interdisciplinary Cluster of Excellence via a Scientific Cooperation Portal In:ICELW 2014 International Conference on E-Learning in the Workplace
    Vaegs T, Calero Valdez A, Schaar A, Bräking A, Aghassi S, Jansen U, Thiele T, Welter F, Jooß C, Richert A, Schulz W, Schuh G, Ziefle M, Jeschke S
  • (2014) Global Footprint Design based on genetic algorithms – An “Industry 4.0” perspective. CIRP Annals - Manufacturing Technology 63(1):433–6
    Schuh G, Potente T, Varandani R, Schmitz T
    (See online at https://doi.org/10.1016/j.cirp.2014.03.121)
  • (2014) Identification of Requirements for Focused Crawlers in Technology Intelligence In: PICMET 2014 Portland International Conference on Management of Engineering & Technology
    Schuh G, Bräkling A, Apfel K
  • (2014) Improving Factory Planning by Analyzing Process Dependencies. Procedia CIRP 17: 38-43
    Büscher C, Voet H, Meisen T et al.
    (See online at https://doi.org/10.1016/j.procir.2014.01.142)
  • (2014) Influence of the Process Temperature on the Properties of Friction Stir Welded Blanks Made of Mild Steel and Aluminum In: KEM 611-612, pp 1429–1436
    Mertin C, Naumov A, Mosecker L, Bambach M, Hirt G
    (See online at https://doi.org/10.4028/www.scientific.net/KEM.611-612.1429)
  • (2014) Influencing Factors and Requirements for Designing Customized Technology Transfer Portals In: ICMIT 2014 IEEE International Conference on Management of Innovation & Technology
    Schuh G, Aghassi S, Schneider B, Bartels P
    (See online at https://doi.org/10.1109/ICMIT.2014.6942409)
  • (2014) Interactive analysis and evaluation of production control. In: Advances in The Ergonomics in Manufacturing: Managing the Enterprise of the Future, p 322
    Schuh G, Potente T, Thomas C, Luckert M
  • (2014) Linking strategic flexibility and operational efficiency: The mediating role of ambidextrous operational capabilities. Journal of Operations Management 32(7-8):475–90
    Kortmann S, Gelhard C, Zimmermann C, Piller FT
    (See online at https://doi.org/10.1016/j.jom.2014.09.007)
  • (2014) Methodology for the Development of Modular Factory Systems. In: FAIM 2014, pp 131–138
    Kampker A, Voet H, Burggräf P et al.
  • (2014) Modularization methodology for high pressure die casting dies. Int J Adv Manuf Technol 71(9-12):1677–86
    Queudeville Y, Vroomen U, Bührig-Polaczek A
    (See online at https://doi.org/10.1007/s00170-013-5582-9)
  • (2014) Optimized Factory Planning and Process Chain Formation Using Virtual Production Intelligence. In: Jeschke S, Isenhardt I, Hees F, Henning K (Eds) Automation, Communication and Cybernetics in Science and Engineering 2013/2014, pp 881-895
    Hoffmann M, Kreisköther K, Büscher C et al.
    (See online at https://doi.org/10.1007/978-3-319-02054-9_26)
  • (2014) Scientific Cooperation Engineering. Making Interdisciplinary Knowledge Available within Research Facilities and to External Stakeholders In: WIS 2014 International Conference on Webometrics, Infometrics & Scientometrics
    Calero Valdez A, Schaar A, Vaegs T, Thiele T, Kowalski M, Aghassi S, Jansen U, Schulz W, Schuh G, Jeschke S, Ziefle M
    (See online at https://doi.org/10.13140/2.1.3401.1521)
  • (2015) A symbolic approach to self-optimisation in production system analysis and control. Advances in production technology, pp 147-160
    Schlick C, Faber M, Kuz S, Bützler J
    (See online at https://doi.org/10.1007/978-3-319-12304-2_11)
  • (2015) Adaptive assembly sequence planning with respect to ergonomic work conditions. In: Proceedings 19th triennial congress of the IEA, 8 pp
    Faber M, Bützler J, Schlick C
  • (2015) An interactive approach for fast and frugal decision making in innovative research cooperation. In: ICERI 2015 Proceedings, pp 7957-7963
    Jansen U, Schulz W
  • (2015) Anthropomorphic design of robotic arm trajectories in assembly cells. In: Occupational Ergonomics 12(3), pp 73-82
    Kuz et al.
    (See online at https://doi.org/10.3233/OER-150225)
  • (2015) Cognitive Self- Optimization in Industrial Assembly. In: WGP Congress 2015: progress in production engineering, pp 35-42
    Permin E, Hoffmann M, Bertelsmeier F, Haag S, Detert T, Schmitt R
    (See online at https://doi.org/10.4028/www.scientific.net/AMM.794.35)
  • (2015) Configuration Model for Focused Crawlers in Technology Intelligence In: IAMOT 2015 24th International Conference of the International Association for Management of Technology
    Schuh G, Bräkling A, Drescher T
  • (2015) Development of Industry Sector Specific Factory Standards. In: 17th ICMIE vol 2, pp 799–803
    Voet H, Krunke M, Burggräf P
  • (2015) Economic implications of 3D printing. Market structure models in light of additive manufacturing revisited. In: Int J Prod Econ 164, pp. 43-56
    Weller C, Kleer R, Piller F
    (See online at https://doi.org/10.1016/j.ijpe.2015.02.020)
  • (2015) Effects of Data Presentation and Perceptual Speed on Speed and Accuracy in Table Reading for inventory Control. In: Occupational Ergonomics, 12(3), pp 119-129
    Ziefle M, Brauner P, Speicher F
    (See online at https://doi.org/10.3233/OER-150229)
  • (2015) Ein Konzept zur Integration von Virtual Reality Anwendungen zur Verbesserung des Informationsaustauschs im Fabrikplanungsprozess. In: Gausemeier J (Ed) Augmented & Virtual Reality in der Produktentstehung vol 342
    Pick S, Gebhardt S, Hentschel B et al.
  • (2015) Flexible Manufacturing of Double-Curved Sheet Metal Panels for the Realization of Self-Supporting Freeform Structures. In: KEM 639:41–48
    Bailly D, Bambach M, Hirt G, Pofahl T, Della Puppa G, Trautz M
    (See online at https://doi.org/10.4028/www.scientific.net/KEM.639.41)
  • (2015) Hybrid Sheet Metal Processing Center. In: Tekkaya A, Homberg W, Brosius A (Eds) 60 Excellent Inventions in Metal Forming. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 143–148
    Bailly D, Conrads L, Hirt G
    (See online at https://doi.org/10.1007/978-3-662-46312-3_22)
  • (2015) Improving geometrical accuracy for flanging by incremental sheet metal forming. In: Int J Mat Form 8(3), pp 391–399
    Voswinckel H, Bambach M, Hirt G
    (See online at https://doi.org/10.1007/s12289-014-1182-y)
  • (2015) Individualized production in die-based manufacturing processes using numerical optimization. In: Int J Adv Manuf Technol, pp 851-858
    Siegbert R, Yesildag N, Frings M, Schmidt F, Elgeti S, Sauerland H, Behr M, Windeck C, Hopmann C, Queudeville Y, Vroomen U, Bührig-Polaczek A
    (See online at https://doi.org/10.1007/s00170-015-7003-8)
  • (2015) Individualized production in die-based manufacturing processes using numerical optimization. The International Journal of Advanced Manufacturing Technology 80(5- 8): 851–858
    Siegbert R, Yesildag N, Frings M, Schmidt F, Elgeti S, Sauerland H, Behr M, Windeck C et al.
    (See online at https://doi.org/10.1007/s00170-015-7003-8)
  • (2015) Iterative Improvement of Process Planning Within Individual and Small Batch Production. In: IFIP International Conference on Advances in Production Management Systems, pp 283-290
    Reuter C, Nuyken T, Schmitz S, Dany S
    (See online at https://doi.org/10.1007/978-3-319-22756-6_35)
  • (2015) Kybernetische Ansätze in der Produktionstechnik. In: Jeschke S, Schmitt R, Dröge A (2015) Exploring cybernetics. Kybernetik im interdisziplinären Diskurs. (Research,Wiesbaden) Springer, pp 85–108
    Brecher C, Corves B, Schmitt R, Özdemir D, Bertelsmeier F, Detert T, Herfs W, Lohse W, Müller S
    (See online at https://doi.org/10.1007/978-3-658-11755-9_5)
  • (2015) Mesoscopical finite element simulation of fatigue crack propagation in WC/Co-hardmetal. International Journal of Refractory Metals and Hard Materials 49: 261–267
    Özden UA, Mingard KP, Zivcec M, Bezold A, Broeckmann C
    (See online at https://doi.org/10.1016/j.ijrmhm.2014.07.022)
  • (2015) Model based self-optimization of the weaving process. CIRP Journal of Manufacturing Science and Technology 9: 88–96
    Gloy Y-S, Sandjaja F, Gries T
    (See online at https://doi.org/10.1016/j.cirpj.2015.01.001)
  • (2015) Selective laser melting of aluminum die-cast alloy—Correlations between process parameters, solidification conditions, and resulting mechanical properties. Journal of Laser Applications 27(S2): S29205
    Buchbinder D, Meiners W, Wissenbach K, Poprawe R
    (See online at https://doi.org/10.2351/1.4906389)
  • (2015) Self-Optimizing Production Systems. In: 48th CIRP CMS, pp 417-422
    Permin E, Bertelsmeier F, Blum M, Bützler J, Haag S, Kuz S, Özdemir D, Stemmler S, Thombansen U, Schmitt R, Brecher C, Schlick C, Abel D, Poprawe R, Loosen P, Schulz W, Schuh G
    (See online at https://doi.org/10.1016/j.procir.2015.12.114)
  • (2015) Traceable Measurements on Machine Tools. Thermal Influences on Machine Tool Structure and Measurement Uncertainty. In: Procedia CIRP 33, pp 576–580
    Schmitt R, Peterek M
    (See online at https://doi.org/10.1016/j.procir.2015.06.087)
  • (2016) A self-optimising injection moulding process with model-based control system parameterisation. International Journal of Computer Integrated Manufacturing 29(11):1190–9
    Hopmann C, Ressmann A, Reiter M, Stemmler S, Abel D
    (See online at https://doi.org/10.1080/0951192X.2015.1066035)
  • (2016) A self-optimising injectionmoulding process with model-based control system parameterisation. In: Int J Comp Integ M 29(11):1190–9
    Hopmann C, Ressmann A, Reiter M, Stemmler S, Abel D
    (See online at https://doi.org/10.1080/0951192X.2015.1066035)
  • (2016) Analysis and Evaluation of Boundary Conditions for Direct Surface Structuring by Multi-Beam Interference. In: Journal of Laser Micro/Nanoengineering 11(3), pp 296-303
    Steger M, Gillner A
    (See online at https://doi.org/10.2961/jlmn.2016.03.0003)
  • (2016) Analytical temperature prediction for cutting steel. CIRP Annals - Manufacturing Technology 65(1):77–80
    Abouridouane M, Klocke F, Döbbeler B
    (See online at https://doi.org/10.1016/j.cirp.2016.04.039)
  • (2016) Approach for selfoptimising assembly of optical systems In: International Journal of Computer Integrated Manufacturing 29; pp 1227–1237
    Holters M, Gatej A, Haag S, Müller T, Loosen P, Brecher C
    (See online at https://doi.org/10.1080/0951192X.2016.1145798)
  • (2016) Closed-loop control of product properties in metal forming. CIRP Annals-Manufacturing Technology 65(2):573–96
    Allwood JM, Duncan SR, Cao J, Groche P, Hirt G, Kinsey B, Kuboki T, Liewald M, Sterzing A, Tekkaya AE
    (See online at https://doi.org/10.1016/j.cirp.2016.06.002)
  • (2016) Deforming fluid domains within the finite element method – Five mesh-based tracking methods in comparison, Archives of Computational Methods in Engineering 23(2): 323-361
    Elgeti S, Sauerland H
    (See online at https://doi.org/10.1007/s11831-015-9143-2)
  • (2016) Design of a data structure for the order processing as a basis for data analytics methods. In: 2016 PICMET, pp 2164-2169
    Blum M, Schuh G
    (See online at https://doi.org/10.1109/PICMET.2016.7806715)
  • (2016) Enablers for Self-optimizing Production Systems in the Context of Industrie 4.0. In: Procedia CIRP 41, pp 93–98
    Brettel M, Fischer F, Bendig G, Weber A, Wolff B
    (See online at https://doi.org/10.1016/j.procir.2015.12.065)
  • (2016) Exploring Research Networks with Data Science. A Data-Driven Microservice Architecture for Synergy Detection. In: Younas M, Awan I, El Haddad J (eds.) (2016) 4th International Conference on Future Internet of Things and Cloud, pp. 246–251
    Thiele T, Sommer T, Stiehm S, Jeschke S, Richert A
    (See online at https://doi.org/10.1109/W-FiCloud.2016.58)
  • (2016) Highspeed tensile testing of polymer materials considering force-oscillations and its origin. In: ANTEC Proceedings, pp 1788-1793
    Hopmann C, Klein J
  • (2016) How virtual production intelligence can improve laser-cutting planning processes. In: Automation, Communication and Cybernetics in Science and Engineering 2015/2016. Springer, pp 941–955
    Reinhard R, Eppelt U, Al-Khawli T et al.
    (See online at https://doi.org/10.1007/978-3-319-42620-4_70)
  • (2016) IMKS and IMMS: two methods for the production of plastic parts featuring metallic areas. In: Journal of Polymer Engineering 36(6), pp 205-214
    Hopmann C, Bobzin K, Schoeldgen R, Öte M, Wunderle J, Linke T, Ochotta P
    (See online at https://doi.org/10.1515/polyeng-2014-0281)
  • (2016) Improved molding of micro structures using PVD-coated mold inserts. In: J Pol Eng 36(6), pp 119-134
    Hopmann C, Bobzin K, Brögelmann T, Schäfer C, Schöngart M, Röbig M, Naderi M
    (See online at https://doi.org/10.1515/polyeng-2015-0270)
  • (2016) Increasing safety in human-robot collaboration by using anthropomorphic speed profiles of robot movements. In Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, pp. 135-145
    Petruck H, Kuz S, Mertens A, Schlick C
    (See online at https://doi.org/10.1007/978-3-319-41697-7_13)
  • (2016) Life Cycle of Multi Technology Machine Tools – Modularization and Integral Design. In: Procedia CIRP 50, pp 719-726
    Schmid A, Löwer M, Katzwinkel T, Schmidt W, Siebrecht J, Feldhusen J, Brecher C, du Bois-Reymond F, Rey J
    (See online at https://doi.org/10.1016/j.procir.2016.05.017)
  • (2016) Model-based Evaluation of Cooperative Assembly Processes in Human-Robot Collaboration. In: Advances in Intelligent Systems and Computing, pp 101-112
    Faber M, Kuz S, Mertens A, Schlick C
    (See online at https://doi.org/10.1007/978-3-319-41697-7_10)
  • (2016) Multi-objective allocation of customized orders to production-line networks. CIRP Annals - Manufacturing Technology 65(1):429–32
    Schmitt R, Ellerich M, Humphrey S
    (See online at https://doi.org/10.1016/j.cirp.2016.04.118)
  • (2016) Multiphysics simulation of thermoplastic polymer crystallization. In: Materials & Design 95, pp 455-46
    Spina R, Spekowius M, Hopmann C
    (See online at https://doi.org/10.1016/j.matdes.2016.01.123)
  • (2016) Multiphysics simulation of thermoplastic polymer crystallization. Materials & Design 95:455–69
    Spina R, Spekowius M, Hopmann C
    (See online at https://doi.org/10.1016/j.matdes.2016.01.123)
  • (2016) Productivity in Science, and Team Diversity: An exploratory study. In: Proceedings of the 12th International Conference on Webometrics, Informetrics, and Scientometrics (WIS) and the 17th COLLNET Meeting 2016
    Sharma M, Dahmen K, Prahl U, Bleck W
  • (2016) Qualifying multi-technology machine tools for complex machining processes. In: CIRP Journal of Manufacturing Science and Technology 13, pp 1-14
    Brecher C, du Bois-Reymond F, Nittinger J, Breitbach T, Do-Khac D, Fey M, Schmidt S
    (See online at https://doi.org/10.1016/j.cirpj.2015.11.001)
  • (2016) Semantic Information Modelling for Factory Planning Projects. Procedia CIRP 41: 478-483
    Büscher C, Voet H, Krunke M et al.
    (See online at https://doi.org/10.1016/j.procir.2015.12.022)
  • (2016) Simulation of AIR Entrainment in High Pressure Die Casting Applications. In: CFD Modeling and Simulation in Materials Processing, pp 59-65
    Jakumeit J, Behnken H, Schmidt F, Gänz J, Thorwald B, Mathes M
    (See online at https://doi.org/10.1007/978-3-319-65133-0_8)
  • (2016) Social Media Applications for Knowledge Exchange in Organizations - Application, Motivational Features, and User Acceptance in Industrial and Scientific Settings In: Innovations in Knowledge Management: The impact of social media, semantic web and cloud computing
    Calero Valdez A, Schaar A, Bender J, Aghassi S, Schuh G, Ziefle M
    (See online at https://doi.org/10.1007/978-3-662-47827-1_7)
  • (2016) Study on objective functions for the slow shot phase in high-pressure die casting
    Frings M, Behr M, Elgeti S
    (See online at https://doi.org/10.1063/1.4963423)
  • (2016) Using Liferay as an Interdisciplinary Scientific Collaboration Portal In: HCII 2016 LNCS - Social Computing & Social Media
    Schuh G, Bräkling A, Calero Valdez A, Schaar A, Ziefle, M
    (See online at https://doi.org/10.1007/978-3-319-39910-2_38)
  • (2016). HCI for recommender systems: the past, the present and the future. In: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 123-126
    Calero Valdez A, Ziefle M, Verbert K
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