2023
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1. |
Arbo, Siri Marthe; Martinsen, Kristian; Aunemo, Jo; Dahle, Nora Marie. Laser welding of AA2065 and AA7021Al Alloys using purpose made welding wires. Procedia CIRP 2023 ;Volum 118. s. 890-894 SRAUFOSS
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2. |
Dahl, Håkon; Tvenge, Nina; Assuad, Carla Susana A; Martinsen, Kristian. A Learning Approach for Future Competencies in Manufacturing using a Learning Factory. Procedia CIRP 2023 ;Volum 118. s. 1039-1043 NTNU SRAUFOSS
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3. |
Onstein, Ingrid Fjordheim; Bjerkeng, Magnus Christian; Martinsen, Kristian. Automated Tool Trajectory Generation for Robotized Deburring of Cast Parts Based on 3D Scans. Procedia CIRP 2023 ;Volum 118. s. 507-512 NTNU SRAUFOSS SINTEF
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4. |
Praveen, K.; Venkata Reddy, Reddy; Assuad, Carla Susana A; Martinsen, Kristian. Optimal process planning for energy consumption and product quality during double-sided incremental forming. The International Journal of Advanced Manufacturing Technology 2023 ;Volum 125. s. - NTNU
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5. |
Vildåsen, Sigurd Sagen; Gulbrandsen-Dahl, Sverre; Martinsen, Kristian. Concept of circular manufacturing and its development history. Circular Manufacturing Spring School; 2023-03-29 - 2023-03-29 NTNU SRAUFOSS SINTEF
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2022
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6. |
Assuad, Carla Susana Aqudelo; Leirmo, Torbjørn Langedahl; Martinsen, Kristian. Proposed framework for flexible de- and remanufacturing systems using cyber-physical systems, additive manufacturing, and digital twins. Procedia CIRP 2022 ;Volum 112. s. 226-231 NTNU
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7. |
Onstein, Ingrid Fjordheim; Bjerkeng, Magnus Christian; Martinsen, Kristian. Automated Tool Trajectory Generation for Robotized Deburring of Cast Parts Based on 3D Scans. 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering; 2022-07-13 - 2022-07-15 NTNU SINTEF
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8. |
Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced Manufacturing and Automation XI Conference proceedings IWAMA 2021. Springer 2022 (ISBN 978-981-19-0572-8) 775 s. Lecture Notes in Electrical Engineering(880) NTNU
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2021
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9. |
Baturynska, Ivanna; Martinsen, Kristian. Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms. Journal of Intelligent Manufacturing 2021 ;Volum 32. s. 179-200 NTNU
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10. |
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab. Ecodesigning and improving performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimisation of powertrain. Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering 2021 ;Volum 236.(5) s. 1019-1039 NTNU
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11. |
Ghosh, Tamal; Martinsen, Kristian. A Collaborative Beetle Antennae Search Algorithm Using Memory Based Adaptive Learning. Applied Artificial Intelligence 2021 ;Volum 35.(6) s. 440-475 NTNU
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12. |
Larsson, Catrine Eleonor; Andersen, Bjørn Sørskot; Martinsen, Kristian. Workarounds in application and use of manufacturing software as enablers to organizational change. 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0; 2021-09-22 - 2021-09-24 NTNU
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13. |
Larsson, Catrine Eleonor; Andersen, Bjørn Sørskot; Martinsen, Kristian. Workarounds in application and use of manufacturing software as enablers to organizational change. Procedia CIRP 2021 ;Volum 104. s. 1954-1959 NTNU
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14. |
Martinsen, Kristian; Assuad, Carla Susana Aqudelo; Kito, Tomomi; Matsumoto, Mitsutaka; Reddy, Venkata; Gulbrandsen-Dahl, Sverre. Closed Loop Tolerance Engineering Modelling and Maturity Assessment in a Circular Economy Perspective. I: EcoDesign and Sustainability I: Products, Services, and Business Models. Springer 2021 ISBN 978-981-15-6778-0. s. 297-308 SRAUFOSS NTNU
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15. |
Ogorodnyk, Olga; Larsen, Mats; Martinsen, Kristian; Lyngstad, Ole Vidar. Development of application programming interface prototype for injection molding machines. Procedia CIRP 2021 ;Volum 97. s. 453-458 SRAUFOSS NTNU
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16. |
Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian. Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods. I: EcoDesign and Sustainability I: Products, Services, and Business Models. Springer 2021 ISBN 978-981-15-6778-0. s. 455-469 NTNU SRAUFOSS
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17. |
Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced manufacuring and automation X. Springer Nature 2021 (ISBN 9789813363175) ;Volum 737.753 s. Lecture Notes in Electrical Engineering(.) NTNU
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18. |
Wang, Yi; Yu, Tao; Martinsen, Kristian; Wang, Kesheng. International Workshop of Advanced Manufacturing and Automation. Advanced Manufacturing and Automation X. IWAMA 2020. Springer 2021 (ISBN 978-981-33-6318-2) 751 s. Lecture Notes in Electrical Engineering(Volume 737) NTNU
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2020
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19. |
Assuad, Carla Susana Aqudelo; Tvenge, Nina; Martinsen, Kristian. System dynamics modelling and learning factories for manufacturing systems education. Procedia CIRP 2020 ;Volum 88. s. 15-18 NTNU
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20. |
Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal. A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 283-291 NTNU
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21. |
Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal. Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 379-387 NTNU
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22. |
Ghosh, Tamal; Martinsen, Kristian. Deep-learning assisted iterative multi-objective optimisation of yarn production process. International Journal of Experimental Design and Process Optimisation (IJEDPO) 2020 ;Volum 6.(3) s. 234-252 NTNU
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23. |
Ghosh, Tamal; Martinsen, Kristian. Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines. International Journal of Intelligent Systems Technologies and Applications 2020 ;Volum 19.(3) s. 257-279 NTNU
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24. |
Ghosh, Tamal; Martinsen, Kristian. Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms. Engineering Science and Technology, an International Journal (JESTECH) 2020 ;Volum 23.(3) s. 650-663 NTNU
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25. |
Ghosh, Tamal; Martinsen, Kristian. Machine Learning Based Heuristic Technique for Multi-response Machining Process. Lecture Notes in Mechanical Engineering 2020 s. 25-35 NTNU
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26. |
Ghosh, Tamal; Martinsen, Kristian. NSGA III for CNC End Milling Process Optimization. Communications in Computer and Information Science (CCIS) 2020 s. 185-195 NTNU
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27. |
Ghosh, Tamal; Yi, Wang; Martinsen, Kristian; Wang, Kesheng. A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105. The International Journal of Advanced Manufacturing Technology 2020 ;Volum 111. s. 2419-2493 NTNU
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28. |
Korondi, Peter; Husi, Geza; Martinsen, Kristian; Kunii, Yasuharu. Proceeding of 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS2020). IEEE conference proceedings 2020 (ISBN 978-1-7281-6419-9) 100 s. NTNU
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29. |
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Baturynska, Ivanna; Martinsen, Kristian. Extracting shape features from a surface mesh using geometric reasoning. Procedia CIRP 2020 ;Volum 93. s. 544-549 NTNU
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30. |
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Martinsen, Kristian. Tolerancing from STL data: A Legacy Challenge. Procedia CIRP 2020 ;Volum 92. s. 218-223 NTNU
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31. |
Leirmo, Torbjørn; Martinsen, Kristian. Deterministic part orientation in additive manufacturing using feature recognition. Procedia CIRP 2020 ;Volum 88. s. 405-410 NTNU
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32. |
Ogorodnyk, Olga; Larsen, Mats; Lyngstad, Ole Vidar; Martinsen, Kristian. Towards a general application programming interface (API) for injection molding machines. PeerJ Computer Science 2020 ;Volum 6. SRAUFOSS NTNU
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33. |
Tvenge, Nina; Ogorodnyk, Olga; Østbø, Niels Peter; Martinsen, Kristian. Added value of a virtual approach to simulation-based learning in a manufacturing learning factory. Procedia CIRP 2020 ;Volum 88. s. 36-41 NTNU
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34. |
Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced manufacturing and automation IX. Springer 2020 (ISBN 9789811523410) ;Volum 634.681 s. Lecture Notes in Electrical Engineering(.) NTNU
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2019
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35. |
Assuad, Carla Susana Aqudelo; Asai, Keito; Takata, Shozo; Martinsen, Kristian. Life cycle simulation assessment of reusability of electric cars in Norway and Japan, a country comparison. The 11th International Symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 2019); 2019-11-25 - 2019-11-27 NTNU
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36. |
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab. Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance. Energy 2019 ;Volum 183. s. 235-248 NTNU
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37. |
Ghosh, Tamal; Martinsen, Kristian. CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes. Applied Artificial Intelligence 2019 ;Volum 33.(11) s. 951-978 NTNU
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38. |
Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab. Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant. Advances in Intelligent Systems and Computing 2019 s. 906-915 NTNU
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39. |
Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab. Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi’s design coupled gray relational analysis and ANN. Applied Soft Computing 2019 ;Volum 85. NTNU
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40. |
Leirmo, Torbjørn; Martinsen, Kristian. Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects. Procedia CIRP 2019 ;Volum 81. s. 671-676 NTNU
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41. |
Martinsen, Kristian. Industry 4.0 Closed Loop Tolerance Engineering Maturity Evaluation. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 3-11 NTNU
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42. |
Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian. Application of feature selection methods for defining critical parameters in thermoplastics injection molding. Procedia CIRP 2019 ;Volum 81. s. 110-114 SRAUFOSS NTNU
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43. |
Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Wang, Kesheng; Martinsen, Kristian. Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 237-244 NTNU SRAUFOSS
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44. |
Persson, Anna-Maria Märta Ruth; Andreassen, Erik; Martinsen, Kristian; Hinrichsen, Einar L. Thermoplastic elastomers – Long-term mechanical properties for sealing applications. Nordic Polymer Days 2019; 2019-06-05 NTNU USN SINTEF
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45. |
Tvenge, Nina; Martinsen, Kristian; Holtskog, Halvor. Learning factories as laboratories for socio-technical experiments. Procedia Manufacturing 2019 ;Volum 31. s. 337-342 NTNU
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2018
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46. |
Baturynska, Ivanna; Semeniuta, Oleksandr; Martinsen, Kristian. Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework. Procedia CIRP 2018 ;Volum 67. s. 227-232 NTNU
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47. |
Haavi, Thomas; Tvenge, Nina; Martinsen, Kristian. CDIO design education collaboration using 3D-desktop printers. Procedia CIRP 2018 ;Volum 70. s. 325-330 NTNU
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48. |
Huang, Lizhen; Martinsen, Kristian. Data driven plastic recycling. PAPB stakeholder seminar; 2018-12-05 - 2018-12-05 NTNU
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49. |
Huang, Lizhen; Martinsen, Kristian; Holtskog, Halvor; Ringen, Geir. Data driven recycling: products as plastic bank. Coping with the future; 2018-10-08 - 2018-10-10 NTNU
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50. |
Moldavska, Anastasiia; Martinsen, Kristian. Defining Sustainable Manufacturing Using a Concept of Attractor as a Metaphor. Procedia CIRP 2018 ;Volum 67. s. 93-97 NTNU
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