フォロー
Kristian Martinsen
タイトル
引用先
引用先
Joining of dissimilar materials
K Martinsen, SJ Hu, BE Carlson
Cirp Annals 64 (2), 679-699, 2015
6182015
Trends and research challenges in remanufacturing
M Matsumoto, S Yang, K Martinsen, Y Kainuma
International journal of precision engineering and manufacturing-green …, 2016
2892016
Optimization of process parameters for powder bed fusion additive manufacturing by combination of machine learning and finite element method: A conceptual framework
I Baturynska, O Semeniuta, K Martinsen
Procedia Cirp 67, 227-232, 2018
1562018
Integration of digital learning in industry 4.0
N Tvenge, K Martinsen
Procedia manufacturing 23, 261-266, 2018
1322018
Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms
I Baturynska, K Martinsen
Journal of Intelligent Manufacturing 32 (1), 179-200, 2021
922021
Monitoring and control for thermoplastics injection molding a review
O Ogorodnyk, K Martinsen
Procedia Cirp 67, 380-385, 2018
812018
Vectorial tolerancing for all types of surfaces
K Martinsen
International Design Engineering Technical Conferences and Computers and …, 1993
761993
Combining learning factories and ICT-based situated learning
N Tvenge, K Martinsen, SSVK Kolla
Procedia CIRP 54, 101-106, 2016
452016
Towards increased intelligence and automatic improvement in industrial vision systems
O Semeniuta, S Dransfeld, K Martinsen, P Falkman
Procedia cirp 67, 256-261, 2018
392018
Application of machine learning methods for prediction of parts quality in thermoplastics injection molding
O Ogorodnyk, OV Lyngstad, M Larsen, K Wang, K Martinsen
Advanced Manufacturing and Automation VIII 8, 237-244, 2019
382019
Beyond lean and six sigma; cross-collaborative improvement of tolerances and process variations-a case study
L Krogstie, K Martinsen
Procedia Cirp 7, 610-615, 2013
382013
Added value of a virtual approach to simulation-based learning in a manufacturing learning factory
N Tvenge, O Ogorodnyk, NP Østbø, K Martinsen
Procedia CIRP 88, 36-41, 2020
372020
Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance
D Bhattacharjee, T Ghosh, P Bhola, K Martinsen, PK Dan
Energy 183, 235-248, 2019
262019
Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms
T Ghosh, K Martinsen
Engineering Science and Technology, an International Journal 23 (3), 650-663, 2020
252020
Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects
TS Leirmo, K Martinsen
Procedia CIRP 81, 671-676, 2019
212019
Human-machine interface for artificial neural network based machine tool process monitoring
K Martinsen, J Downey, I Baturynska
Procedia CIRP 41, 933-938, 2016
212016
CDIO design education collaboration using 3D-desktop printers
T Haavi, N Tvenge, K Martinsen
Procedia CIRP 70, 325-330, 2018
202018
Application of feature selection methods for defining critical parameters in thermoplastics injection molding
O Ogorodnyk, OV Lyngstad, M Larsen, K Martinsen
Procedia CIRP 81, 110-114, 2019
192019
Closed loop tolerance engineering–a relational model connecting activities of product development
L Krogstie, K Martinsen
Procedia CIRP 3, 519-524, 2012
172012
Use of post-consumer scrap in aluminium wrought alloy structural components for the transportation sector
K Martinsen, S Gulbrandsen-Dahl
Procedia CIRP 29, 686-691, 2015
162015
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