Blar i NTNU Open på forfatter "Martinsen, Kristian"
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Added value of a virtual approach to simulation-based learning in a manufacturing learning factory
Tvenge, Nina; Ogorodnyk, Olga; Martinsen, Kristian; Østbø, Niels Peter (Peer reviewed; Journal article, 2019)More and more learning factories (LF) are set up supporting the vision of Industry 4.0 connectivity and automation levels; thus, digital twins, virtual and augmented reality are emerging tools. Literature review is the ... -
Application of feature selection methods for defining critical parameters in thermoplastics injection molding
Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Thermoplastics injection molding is a manufacturing process used for mass-production of plastic parts. The process includes four main stages during which material used goes through complicated thermo-mechanical changes. ... -
Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding
Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian (Chapter, 2019)Nowadays significant part of plastic and, in particular, thermoplastic products of different sizes is manufactured using injection molding process. Due to the complex nature of changes that thermoplastic materials undergo ... -
Assessing Integration in Value Chains - Assessing enablers and disablers of integration in different sectors
Gamme, Inger Astrid Øygarden (Doctoral theses at NTNU;2018:45, Doctoral thesis, 2018)Organizations currently face increasing and ever-changing demands from their environments, which forces them to continuously aim to improve their value chain. This increasing requirement of their environments, together ... -
Automated Tool Trajectory Generation for Robotized Deburring of Cast Parts Based on 3D Scans
Onstein, Ingrid Fjordheim; Bjerkeng, Magnus Christian; Martinsen, Kristian (Peer reviewed; Journal article, 2023)Manual removal of burrs on castings introduces health, safety, and environmental concerns. Automated removal of highly variable casting burrs could improve safety, but requires a solution based on robots, smart sensors, ... -
Beyond Lean and Six Sigma; Cross-collaborative Improvement of Tolerances and Process Variations-A Case Study
Krogstie, Lars; Martinsen, Kristian (Journal article; Peer reviewed, 2013)Good tolerance- and variation management is essential to achieve high value adding products with cost-effective processes. The link between Tolerance Engineering and popular manufacturing improvement philosophies such as ... -
Bærekraftig vareproduksjon
Martinsen, Kristian (Chronicle, 2013-09-23) -
Calibration of robot vision systems for flexible assembly
Semeniuta, Oleksandr (Master thesis, 2014)In the contemporary competitive and fast-changing economy, the manufacturing enterprises require high degree of flexibility, to timely respond to the changing demands, and automation, to cope with the requirements of speed ... -
CDIO design education collaboration using 3D-desktop printers
Haavi, Thomas; Tvenge, Nina; Martinsen, Kristian (Journal article; Peer reviewed, 2018)Desktop 3D-printers are now a low-cost commodity product, and have been increasingly used in engineering education. The ability for students to print a prototype of their design is naturally a step forward in the education ... -
CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Every production process consists of a large number of dependent and independent variables, which substantially influence the quality of the machined parts. Due to the large impact of process variabilities, it is difficult ... -
A Collaborative Beetle Antennae Search Algorithm Using Memory Based Adaptive Learning
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2021)Recently developed Beetle Antennae Search algorithm (BAS) mimics the odor sensing mechanism of the longhorn beetles. The beetles have many species and many of these are advantageous to the nature as well as the mankind. ... -
Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory
Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)DS evidence theory has in obtaining a correct diagnosis when confronted with highly conflicting evidence, a collaborative fault diagnosis decision fusion algorithm based on an improved version of DS evidence theory is ... -
Corporate Sustainability Assessment Method Development Using Systems Approach: Addressing the contribution of manufacturing companies to SDGs
Moldavska, Anastasiia (Doctoral theses at NTNU;2018:398, Doctoral thesis, 2018)Launched in 2015, 17 Sustainable Development Goals (SDGs) became the latest conceptualization of sustainable development (SD). Since then, international institutions and researchers have been eager to find means to (1) ... -
Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Beetle Antennae Search (BAS) is a newly developed nature-inspired algorithm, which falls in the class of single-solution driven metaheuristic techniques. This algorithm mimics the searching behavior of the longhorn beetles ... -
Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab (Journal article; Peer reviewed, 2019)This article presents an optimized series-parallel hybrid powertrain transformed from a conventional vehicle using an analytical approach without changing the original chassis. The proposed approach is based on a many-objective ... -
Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life
Mouflih, Chorouk; Gaha, Raoudha; Durupt, Alexandre; Bosch-Mauchand, Magali; Martinsen, Kristian; Eynard, Benoit (Journal article; Peer reviewed, 2023)In order to have a sustainable disassembly process, a successful decision-making based on reliable and up-to-date information should be made while taking into consideration sustainability indicators. In this context, The ... -
Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Percentage utilisation of machines is considered as an important production factor for manufacturing cell formation problem (CFP) in cellular manufacturing (CM). This recently developed concept correctly emphasises ratio ... -
Deterministic part orientation in additive manufacturing using feature recognition
Leirmo, Torbjørn Langedahl; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Additive Manufacturing (AM) is becoming an integral part of modern manufacturing systems and therefore, the AM technologies needs to adhere to strict quality demands. Due to the layered nature of AM, the part build orientation ... -
Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi’s design coupled gray relational analysis and ANN
Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab (Journal article; Peer reviewed, 2019)African Buffalo Optimization (ABO) is a latest bio-inspired optimization technique in the domain of evolutionary optimization, which mimics the migratory behavior of the buffalo foraging for food across the plains and ... -
Development of application programming interface prototype for injection molding machines
Ogorodnyk, Olga; Larsen, Mats; Martinsen, Kristian; Lyngstad, Ole Vidar (Peer reviewed; Journal article, 2021)This paper describes architecture and development of an open application programming interface (API) prototype for injection molding machines (IMMs), useable for sensor and machine/process data logging and setting necessary ...