Kristian Martinsen
Bakgrunn og aktiviteter
Work Experience: Process operator at DYNO, Lillestrøm 1983-84. Scientific assistant at institute for quality and production engineering, NTH (NTNU) 1989-1991, Dr. Ing. Candidate 1991-1995, post doctoral fellow at Mechanical Engineering Laboratory, AIST, Tsukuba, Japan 1995-1996. Researcher on manufacturing engineering at Raufoss ASA 1996 to 2001, Raufoss Technology and Industrial Management AS /SINTEF Raufoss Manufacturing AS, 2001 to 2010. Research Manager for production technology department at SINTEF Raufoss Manufacturing from 2010 to 2012. Research Director at SINTEF Raufoss Manufacturing from 2012 to 2015. Professor at Gjøvik University College/ NTNU Gjøvik 2011 to present. Vice dean research at NTNU Gjøvik from Sept 2015.
Proposal writing: Main editor of several successful proposals including several IPN –projects, SFI NORMAN, SFI Manufacturing, KPN SUM, EU FP7 projects SupLight and IC2, MANULAB national infrastructure for manufacturing reserach, INMAN INTPART project and Raufoss Catapult proposal.
Project manager for planning and installing a new manufacturing plant for Raufoss ASA in 1999-2000. Project manager for implementing SCADA/MES-system at Raufoss Technology AS 2001-2002. Manager of the Competence Project (KPN) for Industry SUM (Sustainable manufacturing). Coordinator of the EU FP7 projects SupLight and IC2. WP Manager for Robust and Adaptive Manufacturing Processes in SFI NORMAN, Manager for international collaboration in SFI Manufacturing. Project manager for MANULAB and INTPART.
Project manager for planning and installing a new manufacturing plant for Raufoss ASA in 1999-2000. Project manager for implementing SCADA/MES-system at Raufoss Technology AS 2001-2002. Manager of the Competence Project (KPN) for Industry SUM (Sustainable manufacturing). Coordinator of the EU FP7 projects SupLight (Sustainable Production of light weight solution, # 263302, NMP-2010-3.1-1]) and IC2 (Intelligent and Customized Tooling, # 246172, NMP-2009-4.0-5). WP Manager for Robust and Adaptive Manufacturing Processes in SFI NORMAN, Manager for international collaboration in SFI Manufacturing.
International experience: 1 year stay at Neu Technicum Buchs, in Buchs, St. Gallen, Switzerland during Dr. ing. studies 1991-92. 1 year STA fellowship in Japan, AIST, MEL, Tsukuba 1995-1996 and JSPS fellow at AIST, Tsukuba for 3 months in 2009.
Membership in academic and professional committees: Member of EU Manufuture High Level Group and Implementation Support Group. Chairman of Manufuture Sub-group on joining, corporate member in the CIRP: International Academy of Production Research.
Other: Chairman of the CIRP sponsored 6th Conference on Learning Factories June 29th-30th. 2016. Guest Editor for the Elsevier Procedia CIRP Vol 54, Special Issue on Learning Factories, Nov. 2016. http://www.sciencedirect.com/science/journal/22128271/54
Doctoral students supervised: Geir Ringen: Organizational Learning and Knowledge in the Norwegian Automotive Supplier Industry, Halvor Holtskog: How Industry Makes Knowledge: Facilitative Management , Lars Krogstie: Closed Loop Tolerance Engineering
Doctoral students currently supervising: Ivanna Baturynska: Analysis of Process variations in Additive manufacturing using Machine Learing, Olga Ogorodnyk: Process monitoring and control of injection molding using machine learning. Torbjørn Leirmo; Optimal location and orientation of parts in PBF additive manufacturing.
Present research activities and fields of interests: Manufacturing engineering, Sustainable manufacturing, manufacturing process monitoring and control, metal cutting, additive manufacturing, measuring technology, tolerance engineering, industry 4.0 and learning factories.
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2021) Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms. Journal of Intelligent Manufacturing. vol. 32.
- (2021) A Collaborative Beetle Antennae Search Algorithm Using Memory Based Adaptive Learning. Applied Artificial Intelligence.
- (2021) Development of application programming interface prototype for injection molding machines. Procedia CIRP. vol. 97.
- (2020) System dynamics modelling and learning factories for manufacturing systems education. Procedia CIRP. vol. 88.
- (2020) Deep-learning assisted iterative multi-objective optimisation of yarn production process. International Journal of Experimental Design and Process Optimisation (IJEDPO). vol. 6 (3).
- (2020) Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines. International Journal of Intelligent Systems Technologies and Applications. vol. 19 (3).
- (2020) Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms. Engineering Science and Technology, an International Journal (JESTECH). vol. 23 (3).
- (2020) Machine Learning Based Heuristic Technique for Multi-response Machining Process. Lecture Notes in Mechanical Engineering.
- (2020) NSGA III for CNC End Milling Process Optimization. Communications in Computer and Information Science.
- (2020) A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105. The International Journal of Advanced Manufacturing Technology. vol. 111.
- (2020) Extracting shape features from a surface mesh using geometric reasoning. Procedia CIRP. vol. 93.
- (2020) Tolerancing from STL data: A Legacy Challenge. Procedia CIRP. vol. 92.
- (2020) Deterministic part orientation in additive manufacturing using feature recognition. Procedia CIRP. vol. 88.
- (2020) Towards a general application programming interface (API) for injection molding machines. PeerJ Computer Science.
- (2020) Added value of a virtual approach to simulation-based learning in a manufacturing learning factory. Procedia CIRP. vol. 88.
- (2019) Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance. Energy. vol. 183.
- (2019) CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes. Applied Artificial Intelligence. vol. 33 (11).
- (2019) Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant. Advances in Intelligent Systems and Computing.
- (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. vol. 85.
- (2019) Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects. Procedia CIRP. vol. 81.