Von Januar 2017 bis Oktober 2023 Wissenschaftlicher Mitarbeiter am FBK

P. Ruediger-Flore, M. Klar, M. Hussong, J. Mertes, L. Yi, M. Glatt, P. Kölsch, J. C. Aurich: Neural Radiance Fields in der Fabrikplanung - Untersuchung von Neural Radiance Fields zur Modellrekonstruktion in der Fabrikplanung. WT Werkstattstechnik  113/6 (2023) S.219-223 10.37544/1436-4980-2023-06-11

S. Ehmsen, L. Yi, B. Linke, J.C. Aurich: Reusable unit process life cycle inventory for manufacturing: high speed laser directed energy deposition. Production Engineering - Processes (2023). DOI: 10.1007/s11740-023-01197-4.

J. Mertes, D. Lindenschmitt, M. Amirrezai, N. Tashakor, M. Glatt, C. Schellenberger, S.M. Shah, A. Karnoub, C. Hobelsberger, L. Yi, S. Götz, J.C. Aurich, H.D. Schotten: Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems. Journal of Manufacturing Systems 64 (2022): S. 578-593.

L. Yi, P. Langlotz, M. Hussong, M. Glatt, F. J. P. Sousa, J. C. Aurich: An integrated energy management system using double deep Q-learning and energy storage equipment to reduce energy cost in manufacturing under real-time pricing condition: A case study of scale-model factory. CIRP Journal of Manufacturing Science and Technology 38 (2022): S. 844-860.

L. Yi, B. Ravani, J. C.Aurich: Energy performance-oriented design candidate selection approach for additive manufacturing using toolpath length comparison method. Manufacturing Letters 33 (2022): S. 5-10.

L. Yi, M. Glatt, S. Ehmsen, W. Duan, J. C. Aurich: Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin. Additive Manufacturing 48/A (2021): S. 102388

M. Glatt, C. Sinnwell, L. Yi, S. Donohoe, B. Ravani, J.C. Aurich: Modeling and implementation of a digital twin of material flows based on physics simulation. Journal of Manufacturing Systems 58/2 (2021): S. 231-245.

L. Yi, S. Ehmsen, M. Glatt, J.C. Aurich: Modeling and software implementation of manufacturing costs in additive manufacturing. CIRP Journal of Manufacturing Science and Technology 33 (2021): S. 380-388.

L. Yi, M. Glatt, P. Sridhar, K. de Payrebrune, B.S. Linke, B. Ravani, J.C. Aurich: An eco-design for additive manufacturing framework based on energy performance assessment. Additive Manufacturing 33 (2020): S. 101120.

L. Yi, B. Ravani, J.C. Aurich: Development and validation of an energy simulation for a desktop additive manufacturing system. Additive Manufacturing 32 (2020): S. 101021.

L. Yi, M. Glatt, T.-Y. Thomas Kuo, A. Ji, B. Ravani, J.C. Aurich: A method for energy modeling and simulation implementation of machine tools of selective laser melting. Journal of Cleaner Production 263 (2020): S. 121282.

M. Glatt, P. Kölsch, N. Krenkel, P. Langlotz, C. Siedler, L. Yi, J. C. Aurich: Rahmenwerk zur Einordnung Digitaler Zwillinge in Produktionssystemen. ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb 115/6 (2020): S. 429-433.

C. Gläßner, L. Yi, J.C. Aurich: Entwicklung von Geschäftsmodellen auf Basis der additiven Fertigung - Ein Vorgehensmodell zur technologiegetriebenen Geschäftsmodellinnovation. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 114/12 (2019): S. 863-868.

L. Yi, C. Gläßner, J.C. Aurich: How to integrate additive manufacturing technologies into manufacturing systems successfully: A perspective from the commercial vehicle industry. Proceedings of the Journal of Manufacturing Systems 53 (2019): S. 195-211.

C. Gläßner, L. Yi, J.C. Aurich: Qualitätsmanagement in hybriden additiv-subtraktiven Prozessketten - Ein regelkreisbasiertes Konzept. Zeitschrift für wirtschaftlichen Fabrikbetrieb 114/7-8 (2019): S. 435-439.

C. Gläßner, L. Yi, J.C. Aurich: Bewertung additiver Fertigungsverfahren*. wt Werkstatttechnik online 109/6 (2019): S. 411-414.

L. Yi, C. Gläßner, N. Krenkel, J.C. Aurich: Energieeffiziente Produktion mittels Additiver Fertigung. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 113/11 (2018): S. 746-750.

M.F. Glatt, L. Yi, G. Mert, B.S. Linke, J.C. Aurich: Technical Product-Service Systems: Analysis and reduction of the Cumulative Energy Demand. Journal of Cleaner Production 206 (2019): S. 727-740.

L. Yi, G. Mert, J.C. Aurich: Kumulierter Energieaufwand technischer Produkt-Service Systeme - Analyse des lebenszyklusorientierten Energieaufwands technischer Produkt-Service Systeme. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb 113/3 (2018): S. 128-132.

L. Yi, X. Wu, M. Werrel, P. Schworm, W. Wei, M. Glatt ,J.C. Aurich: Service provision process scheduling using quantum annealing for technical product-service systems. Procedia CIRP 116 - Proceedings of the 30th CIRP Life Cycle Engineering Conference (2023): S. 30-335 10.1016/j.procir.2023.02.056

J. Mertes, M. Glatt, C. Schellenberger, P. M. Simon, L. Yi, H. D. Schotten, J. C. Aurich: Implementation and Evaluation of 5G-enabled sensors for Machine Tools. Procedia CIRP 120 - Proceedings of the 56th CIRP Conference on Manufacturing Systems (2023): S. 45-50. 10.1016/j.procir.2023.08.009

S. Ghansiyal, L. Yi, P. M. Simon, M. Klar, M. M. Müller, M. Glatt, J. C. Aurich: Anomaly detection towards zero defect manufacturing using generative adversarial networks. Procedia CIRP 120 - Proceedings of the 56th 56th CIRP Conference on Manufacturing Systems (2023): S. 1457-1462. 10.1016/j.procir.2023.09.193

S. Ehmsen, L. Yi, M. Glatt, J.C. Aurich: Evaluating the environmental impact of high-speed laser directed energy deposition: A life cycle assessment. 56th CIRP Conference on Manufacturing Systems (2023)

J. Mertes, M. Glatt, L. Yi, M. Klar, B. Ravani ,J.C. Aurich: Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation. Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes. IRTG 2023. Springer (2023): S.90–110. 10.1007/978-3-031-35779-4_6 

S. Ghansiyal, L. Yi,  J. Steiner-Stark, M.M. Müller, B. Kirsch, M. Glatt, J.C. Aurich: A conceptual framework for layerwise energy prediction in laser-based powder bed fusion process using machine learning. Procedia CIRP 116 - Proceedings of the 30th CIRP Confrence on Life Cycle Engineering (2023): S. 7-12. 10.1016/j.procir.2023.02.002

P. Langlotz, M. Klar, L. Yi, M. Hussong, F. Sousa, J.C. Aurich: Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems. Procedia CIRP 112 - Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2022): S. 549-554 DOI: 10.1016/j.procir.2022.09.098

M. Klar, M. Hussong, P. Ruediger, L. Yi, M. Glatt, J.C. Aurich: Scalability investigation of Double Deep Q Learning for factory layout planning. Procedia CIRP 107 - Proceedings of the 55th CIRP Conference on Manufacturing Systems (2022): S.161-166 DOI: 10.1016/j.procir.2022.04.027

M. Werrel, L. Yi, P- Kölsch, J.C. Aurich: Customer-Driven Eco-design for Technical Product-Service Systems - Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP) (2021): S. 592-600.

C.Siedler, J.Mertes, Li Yi, M.Glatt, C.Schellenberger, H.D.Schotten, J.C.Aurich: 5G as an enabler for cloud-based machine tool control. Procedia CIRP 104 - Proceedings of the 54th CIRP Conference on Manufacturing Systems (2021):S.235–240.

L. Yi, K. Gutzeit, S. Ehmsen, P. Kölsch, M. Glatt, J.C. Aurich: Exploration of the potential of polymer 4D printing: Experiments on the printing quality and the impact of the temperature and geometry on the shape-changing effect. Procedia CIRP 103 - Proceedings of the 9th CIRP  Global Web Conference: S. 103-108.

L. Yi, S. Ehmsen, M. Glatt, J.C. Aurich: A case study on the part optimization using eco-design for additive manufacturing based on energy performance assessment. Procedia CIRP 96 (2021): S. 91-96.

S. Ehmsen, L. Yi, J.C. Aurich: Process Chain Analysis of Directed Energy Deposition: Energy flows and their influencing factors. Procedia CIRP 98 - 28th CIRP Conference on Life Cycle Engineering (2021): S. 607-612.

L. Yi, T. Chen, S. Ehmsen, C. Gläßner, J.C. Aurich: A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments. Procedia CIRP 93 (2020): S. 79-84.

R. Oberlé, S. Schorr, L. Yi, M. Glatt, D. Bähre, J.C. Aurich: A Use Case to Implement Machine Learning for Life Time Prediction of Manufacturing Tools. Procedia CIRP 93/1 (2020): S. 1484-1489.

S. Ehmsen, L. Yi, J.C. Aurich: Evaluating the Cumulative Energy Demand of Additive Manufacturing using Direct Energy Deposition. Production at the leading edge of technology - Proceedings of the 10th Congress of the German Academic Association for Production Technology (WGP) (2020): S. 357–367.

L. Yi, C. Gläßner, N. Krenkel, J.C. Aurich: Energy simulation of the fused deposition modeling process using machine learning approach. Procedia CIRP 86 (2019): S. 216-221.

L. Yi, B. Ravani, J.C. Aurich: Development of a simulation tool for predicting energy consumption of selective laser melting by using MATLAB/Simulink. Procedia CIRP 81 (2019): S. 28-33.

R. Ilsen, F. Rupprecht, G. Mert, L. Yi, A. Ebert, J.C. Aurich: Impact-visualization to evaluate resource efficiency of technical Product-Service Systems. Procedia CIRP 79/3 (2019): S. 215-220.

D. Cichos, H. Hotz, L. Yi, S. Basten, J.C. Aurich: Quality protection based on elemental composition - Influencing factors and integration into life-cycle. Procedia CIRP 79 - Proceedings of the 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2019): S. 263-267.

L. Yi, N. Krenkel, J.C. Aurich: An energy model of machine tools for selective laser melting. Procedia CIRP 78 - 6th CIRP Global Web Conference - Envisaging the future manufacturing, design, technologies and systems in innovation era (2018): S. 67-72.

L. Yi, C. Gläßner, J.C. Aurich: Concept for identifying potentials of additive manufacturing in commercial vehicle production. In: Berns, K. et al. (Hrsg.): Commercial Vehicle Technology 2018, Wiesbaden: Springer Fachmedien Wiesbaden, 2018.

C. Gläßner, L. Yi, J.C. Aurich: Concept for Development of Additive Process Chains in Manufacturing Companies. Advances in Production Research - Proceedings of the 8th Congress of the German Academic Association for Production Technology (2018): S. 343-351.

L. Yi, C. Gläßner, J.C. Aurich: Konzept zur Ermittlung der Einsatzpotenziale der additiven Fertigung in der Nutzfahrzeugproduktion. Commercial Vehicle Technology: Proceedings of the 5th Commercial Vehicle Technology Symposium (2018): S. 246-262.