Kristian Martinsen

发表

Towards a general application programming interface (API) for injection molding machines

Olga Ogorodnyk, Mats Larsen, Ole Vidar Lyngstad, 2020, PeerJ Comput. Sci..

Industrial application of Vectorial Tolerancing to improve clamping of forged workpieces in machining

Kristian Martinsen, Oliver Krimmel, 1999 .

The Tolerance Cycle in Quality Manufacturing

Kristian Martinsen, 1996 .

Towards increased intelligence and automatic improvement in industrial vision systems

Oleksandr Semeniuta, Petter Falkman, Kristian Martinsen, 2018 .

Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding

Olga Ogorodnyk, Mats Larsen, Ole Vidar Lyngstad, 2018 .

Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects

Kristian Martinsen, Torbjørn Schjelderup Leirmo, K. Martinsen, 2019, Procedia CIRP.

Added value of a virtual approach to simulation-based learning in a manufacturing learning factory

Olga Ogorodnyk, Kristian Martinsen, Nina Tvenge, 2020 .

Holistic life cycle approach for lightweight automotive components

Dimitris Kiritsis, Kristian Martinsen, Fatih Karakoyun, 2014 .

Social aspects of Plant monitoring and visualization

Kristian Martinsen, Halvor Holtskog, K. Martinsen, 2008 .

Integration of digital learning in industry 4.0

Kristian Martinsen, Nina Tvenge, K. Martinsen, 2018 .

Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi's design coupled gray relational analysis and ANN

Kristian Martinsen, Tamal Ghosh, Pranab K. Dan, 2019, Appl. Soft Comput..

Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines

Kristian Martinsen, Tamal Ghosh, 2020 .

A surrogate-assisted optimization approach for multi-response end milling of aluminum alloy AA3105

Yi Wang, Kristian Martinsen, Kesheng Wang, 2020 .

The Pivoting Problem of Lean

Kristian Martinsen, Geir Ringen, Halvor Holtskog, 2016 .

Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods

Olga Ogorodnyk, Mats Larsen, Ole Vidar Lyngstad, 2021 .

CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes

Kristian Martinsen, Tamal Ghosh, K. Martinsen, 2019, Appl. Artif. Intell..

Combining Learning Factories and ICT- based Situated Learning

Kristian Martinsen, Nina Tvenge, Sri Sudha Vijay Keshav Kolla, 2016 .

Application of feature selection methods for defining critical parameters in thermoplastics injection molding

Olga Ogorodnyk, Mats Larsen, Ole Vidar Lyngstad, 2019 .

System dynamics modelling and learning factories for manufacturing systems education

Kristian Martinsen, Nina Tvenge, Carla Susana A. Assuad, 2020 .

Learning factories as laboratories for socio-technical experiments

Kristian Martinsen, Halvor Holtskog, Nina Tvenge, 2019 .

Extracting shape features from a surface mesh using geometric reasoning

Oleksandr Semeniuta, Kristian Martinsen, Ivanna Baturynska, 2020 .

Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory

Yi Wang, Bo Chen, Kesheng Wang, 2019 .

Achieving a Transparent and Visual Automotive Value Chain with ICT-Support

Jan Ola Strandhagen, Kristian Martinsen, Arne Horton, 2002, APMS.

NSGA III for CNC End Milling Process Optimization

Kristian Martinsen, Tamal Ghosh, 2019 .

Industry 4.0 Closed Loop Tolerance Engineering Maturity Evaluation

Kristian Martinsen, K. Martinsen, 2018, Advanced Manufacturing and Automation VIII.

Machine Learning Based Heuristic Technique for Multi-response Machining Process

Kristian Martinsen, Tamal Ghosh, 2019 .

Statistical Process Control using Vectorial Tolerancing

Kristian Martinsen, 1996 .

CDIO design education collaboration using 3D-desktop printers

Kristian Martinsen, Nina Tvenge, Thomas Haavi, 2018 .

Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms

Kristian Martinsen, Ivanna Baturynska, K. Martinsen, 2020, J. Intell. Manuf..

Tolerancing from STL data: A Legacy Challenge

Oleksandr Semeniuta, Kristian Martinsen, Torbjørn Langedahl Leirmo, 2020 .

Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance

Debraj Bhattacharjee, Kristian Martinsen, Tamal Ghosh, 2019, Energy.

Vectorial Tolerancing in Manufacturing Process Control

Toshio Kojima, Kristian Martinsen, 1996 .

Deterministic part orientation in additive manufacturing using feature recognition

Kristian Martinsen, Torbjørn Schjelderup Leirmo, 2020 .

Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework

Oleksandr Semeniuta, Kristian Martinsen, Ivanna Baturynska, 2018 .

Towards a more Comprehensive Understanding of Tolerance Engineering Research Importance

Sandro Wartzack, Kristian Martinsen, Lars Krogstie, 2015 .

Monitoring and Control for Thermoplastics Injection Molding A Review

Kristian Martinsen, Olga Ogorodnyk, K. Martinsen, 2018 .

Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms

Kristian Martinsen, Tamal Ghosh, K. Martinsen, 2020, Engineering Science and Technology, an International Journal.

Additive Manufacturing for Circular Manufacturing: Trends and Challenges—A Survey in Japan, Norway, and India

Kristian Martinsen, Suryakumar Simhambhatla, Mitsutaka Matsumoto, 2021 .

EXPRESS definition of vectorial tolerancing in product modelling

Toshio Kojima, Kristian Martinsen, 1997 .

Selection of ICT-tools for Manufacturing Education

Kristian Martinsen, Nina Tvenge, 2016 .

Defining Sustainable Manufacturing Using a Concept of Attractor as a Metaphor

Kristian Martinsen, Anastasiia Moldavska, K. Martinsen, 2018 .

Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant

Kristian Martinsen, Pranab K. Dan, Tamal Ghosh, 2019, WCGO.

Closed Loop Tolerance Engineering Modelling and Maturity Assessment in a Circular Economy Perspective

Kristian Martinsen, Tomomi Kito, Mitsutaka Matsumoto, 2020 .

A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual

Yi Wang, Bo Chen, Kesheng Wang, 2019 .

Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines

Kristian Martinsen, Tamal Ghosh, 2020, Int. J. Intell. Syst. Technol. Appl..

A Collaborative Beetle Antennae Search Algorithm Using Memory Based Adaptive Learning

Kristian Martinsen, Tamal Ghosh, K. Martinsen, 2021, Appl. Artif. Intell..

Development of application programming interface prototype for injection molding machines

Olga Ogorodnyk, Mats Larsen, Ole Vidar Lyngstad, 2021 .

Ecodesigning and improving performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimisation of powertrain

Debraj Bhattacharjee, Kristian Martinsen, Tamal Ghosh, 2021, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.