- Praveen, K.; Venkata Reddy, Reddy; Assuad, Carla Susana A; Martinsen, Kristian. (2023) Optimal process planning for energy consumption and product quality during double-sided incremental forming. The International Journal of Advanced Manufacturing Technology
- Arbo, Siri Marthe; Martinsen, Kristian; Aunemo, Jo; Dahle, Nora Marie. (2023) Laser welding of AA2065 and AA7021Al Alloys using purpose made welding wires. Procedia CIRP
- Dahl, Håkon; Tvenge, Nina; Assuad, Carla Susana A; Martinsen, Kristian. (2023) A Learning Approach for Future Competencies in Manufacturing using a Learning Factory. Procedia CIRP
- Ghosh, Tamal; Martinsen, Kristian. (2020) Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms. Engineering Science and Technology, an International Journal (JESTECH)
- Ogorodnyk, Olga; Larsen, Mats; Lyngstad, Ole Vidar; Martinsen, Kristian. (2020) Towards a general application programming interface (API) for injection molding machines. PeerJ Computer Science
- Leirmo, Torbjørn; Martinsen, Kristian. (2020) Deterministic part orientation in additive manufacturing using feature recognition. Procedia CIRP
- Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Martinsen, Kristian. (2020) Tolerancing from STL data: A Legacy Challenge. Procedia CIRP
- Ghosh, Tamal; Martinsen, Kristian. (2020) Deep-learning assisted iterative multi-objective optimisation of yarn production process . International Journal of Experimental Design and Process Optimisation (IJEDPO)
- Ghosh, Tamal; Martinsen, Kristian. (2020) Machine Learning Based Heuristic Technique for Multi-response Machining Process. Lecture Notes in Mechanical Engineering
- Tvenge, Nina; Ogorodnyk, Olga; Østbø, Niels Peter; Martinsen, Kristian. (2020) Added value of a virtual approach to simulation-based learning in a manufacturing learning factory. Procedia CIRP
- Tvenge, Nina; Martinsen, Kristian; Holtskog, Halvor. (2019) Learning factories as laboratories for socio-technical experiments. Procedia Manufacturing
- Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab. (2019) 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
- Leirmo, Torbjørn; Martinsen, Kristian. (2019) Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects. Procedia CIRP
- Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian. (2019) Application of feature selection methods for defining critical parameters in thermoplastics injection molding. Procedia CIRP
- Moldavska, Anastasiia; Martinsen, Kristian. (2018) Defining Sustainable Manufacturing Using a Concept of Attractor as a Metaphor. Procedia CIRP
- Ogorodnyk, Olga; Martinsen, Kristian. (2018) Monitoring and Control for Thermoplastics Injection Molding A Review. Procedia CIRP
- Semeniuta, Oleksandr; Dransfeld, Sebastian; Martinsen, Kristian; Falkman, Petter. (2018) Towards increased intelligence and automatic improvement in industrial vision systems. Procedia CIRP
- Baturynska, Ivanna; Semeniuta, Oleksandr; Martinsen, Kristian. (2018) Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework. Procedia CIRP
- Tvenge, Nina; Martinsen, Kristian. (2018) Integration of digital learning in industry 4.0. Procedia Manufacturing
- Haavi, Thomas; Tvenge, Nina; Martinsen, Kristian. (2018) CDIO design education collaboration using 3D-desktop printers. Procedia CIRP
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1 Comment
Niels Peter Østbø
"A few papers" is obviously a relative term. But you're very welcome to comment or suggest a few "must read" papers here if you want.
In the master-level and PhD-level courses at NTNU and elsewhere, we try to select and discuss selected papers- updated as needed to follow the state-of-the-art and current thinking in our fields of study.
In the age of "information overflow" new digital tools are also needed to find and review published and other on-going work, but getting down to the basics of reading and "organic searches" is still highly relevant- in our very human point of view as researchers and working scientists. Ask a friend or your supervisor- and share tentative findings when you can before writing too much, or before publishing too much of your own! You may find many sources of information at the library- still the most important repository of knowledge- too share.