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For å registrere i Cristin må du være vitenskapelig eller administrativt ansatt.
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2021
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| 1. | 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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| 2. | 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 s. - NTNU |
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| 3. | 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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| 4. | 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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| 5. | 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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| 6. | 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. Springer 2021 ISBN 978-981-15-6779-7. s. 297-308 SRAUFOSS NTNU |
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| 7. | 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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| 8. | 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. Springer 2021 ISBN 978-981-15-6779-7. s. 455-469 NTNU SRAUFOSS |
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| 9. | 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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| 10. | 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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| 11. | 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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| 12. | 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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| 13. | 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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| 14. | 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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| 15. | 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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| 16. | 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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| 17. | 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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| 18. | Ghosh, Tamal; Martinsen, Kristian. NSGA III for CNC End Milling Process Optimization. Communications in Computer and Information Science 2020 s. 185-195 NTNU |
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| 19. | 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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| 20. | 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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| 21. | 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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| 22. | 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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| 23. | 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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| 24. | Ogorodnyk, Olga; Larsen, Mats; Lyngstad, Ole Vidar; Martinsen, Kristian. Towards a general application programming interface (API) for injection molding machines. PeerJ Computer Science 2020 NTNU SRAUFOSS |
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| 25. | 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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| 26. | 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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| 27. | 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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| 28. | 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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| 29. | 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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| 30. | 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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| 31. | 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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| 32. | 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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| 33. | 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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| 34. | 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 NTNU SRAUFOSS |
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| 35. | 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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| 36. | 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 USN NTNU SINTEF |
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| 37. | 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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| 38. | 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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| 39. | 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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| 40. | Huang, Lizhen; Martinsen, Kristian. Data driven plastic recycling. PAPB stakeholder seminar; 2018-12-05 - 2018-12-05 NTNU |
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| 41. | 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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| 42. | 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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| 43. | Ogorodnyk, Olga; Martinsen, Kristian. Monitoring and Control for Thermoplastics Injection Molding A Review. Procedia CIRP 2018 ;Volum 67. s. 380-385 NTNU |
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| 44. | Semeniuta, Oleksandr; Dransfeld, Sebastian; Martinsen, Kristian; Falkman, Petter. Towards increased intelligence and automatic improvement in industrial vision systems. Procedia CIRP 2018 ;Volum 67. s. 256-261 NTNU SRAUFOSS |
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| 45. | Tvenge, Nina; Martinsen, Kristian. Integration of digital learning in industry 4.0. Procedia Manufacturing 2018 ;Volum 23. s. 261-266 NTNU |
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2017
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| 46. | Martinsen, Kristian. Manufuture Joining sub-platform report to GA 2017. Manufuture sub-platform joining General Assembly; 2017-11-15 - 2017-11-15 NTNU |
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| 47. | Martinsen, Kristian; Gellein, Lars Tore; Boivie, Klas Magnus. Sensors embedded in surface coatings in injection moulding dies. Procedia CIRP 2017 ;Volum 62. s. 386-390 NTNU SRAUFOSS |
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2016
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| 48. | Holtskog, Halvor; Martinsen, Kristian; Skogsrød, Torbjørn; Ringen, Geir. The Pivoting Problem of Lean. Procedia CIRP 2016 ;Volum 41. s. 591-595 NTNU SRAUFOSS |
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| 49. | Martinsen, Kristian; Jonathan, Downey; Baturynska, Ivanna. Human-Machine Interface for Artificial Neural Network Based Machine Tool Process Monitoring. Procedia CIRP 2016 ;Volum 41. s. 933-938 NTNU SRAUFOSS |
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| 50. | Matsumoto, Mitsutaka; Yang, Shanshan; Martinsen, Kristian; Kainuma, Yasutaka. Trends and research challenges in remanufacturing. International Journal of Precision Engineering and Manufacturing - Green Technology 2016 ;Volum 3.(1) s. 129-142 NTNU |
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