| Modeling and implementation of a digital twin of material flows based on physics simulation M Glatt, C Sinnwell, L Yi, S Donohoe, B Ravani, JC Aurich Journal of Manufacturing Systems 58, 231-245, 2021 | 110 | 2021 |
| How to integrate additive manufacturing technologies into manufacturing systems successfully: A perspective from the commercial vehicle industry L Yi, C Gläßner, JC Aurich Journal of Manufacturing Systems 53, 195-211, 2019 | 93 | 2019 |
| An eco-design for additive manufacturing framework based on energy performance assessment L Yi, M Glatt, P Sridhar, K de Payrebrune, BS Linke, B Ravani, JC Aurich Additive Manufacturing 33, 101120, 2020 | 42 | 2020 |
| Process monitoring of economic and environmental performance of a material extrusion printer using an augmented reality-based digital twin L Yi, M Glatt, S Ehmsen, W Duan, JC Aurich Additive Manufacturing 48, 102388, 2021 | 33 | 2021 |
| A method for energy modeling and simulation implementation of machine tools of selective laser melting L Yi, M Glatt, TYT Kuo, A Ji, B Ravani, JC Aurich Journal of cleaner production 263, 121282, 2020 | 25 | 2020 |
| Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems J Mertes, D Lindenschmitt, M Amirrezai, N Tashakor, M Glatt, ... Journal of Manufacturing Systems 64, 578-593, 2022 | 22 | 2022 |
| Development and validation of an energy simulation for a desktop additive manufacturing system L Yi, B Ravani, JC Aurich Additive manufacturing 32, 101021, 2020 | 21 | 2020 |
| Technical product-service systems: analysis and reduction of the cumulative energy demand MF Glatt, L Yi, G Mert, BS Linke, JC Aurich Journal of cleaner production 206, 727-740, 2019 | 20 | 2019 |
| An energy model of machine tools for selective laser melting L Yi, N Krenkel, JC Aurich Procedia Cirp 78, 67-72, 2018 | 20 | 2018 |
| A use case to implement machine learning for life time prediction of manufacturing tools R Oberle, S Schorr, L Yi, M Glatt, D Bähre, JC Aurich Procedia CIRP 93, 1484-1489, 2020 | 18 | 2020 |
| Energy simulation of the fused deposition modeling process using machine learning approach L Yi, C Gläßner, N Krenkel, JC Aurich Procedia CIRP 86, 216-221, 2019 | 17 | 2019 |
| A case study on the part optimization using eco-design for additive manufacturing based on energy performance assessment L Yi, S Ehmsen, M Glatt, JC Aurich Procedia CIRP 96, 91-96, 2021 | 13 | 2021 |
| Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems P Langlotz, M Klar, L Yi, M Hussong, FJP Sousa, JC Aurich Procedia CIRP 112, 549-554, 2022 | 12 | 2022 |
| A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments L Yi, T Chen, S Ehmsen, C Gläßner, JC Aurich Procedia CIRP 93, 79-84, 2020 | 11 | 2020 |
| Scalability investigation of Double Deep Q Learning for factory layout planning M Klar, M Hussong, P Ruediger-Flore, L Yi, M Glatt, JC Aurich Procedia CIRP 107, 161-166, 2022 | 10 | 2022 |
| 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 … L Yi, P Langlotz, M Hussong, M Glatt, FJP Sousa, JC Aurich CIRP Journal of Manufacturing Science and Technology 38, 844-860, 2022 | 9 | 2022 |
| Process chain analysis of directed energy deposition: energy flows and their influencing factors S Ehmsen, L Yi, JC Aurich Procedia CIRP 98, 607-612, 2021 | 8 | 2021 |
| Modeling and software implementation of manufacturing costs in additive manufacturing L Yi, S Ehmsen, M Glatt, JC Aurich CIRP Journal of Manufacturing Science and Technology 33, 380-388, 2021 | 6 | 2021 |
| Development of a simulation tool for predicting energy consumption of selective laser melting by using MATLAB/Simulink L Yi, B Ravani, JC Aurich Procedia CIRP 81, 28-33, 2019 | 6 | 2019 |
| Energy performance-oriented design candidate selection approach for additive manufacturing using toolpath length comparison method L Yi, B Ravani, JC Aurich Manufacturing Letters 33, 5-10, 2022 | 5 | 2022 |
Jan C. AurichProfessor, Mechanical Engineering, University of KaiserslauternVerified email at mv.uni-kl.de
