Browsing NTNU Open by Author "Martinsen, Kristian"
Now showing items 21-40 of 55
-
Ecodesigning and improving performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimisation of powertrain
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab (Peer reviewed; Journal article, 2021)This work presents an ecodesigning and operating performance improvement methodology in series-parallel Plugin hybrid electric vehicle (PHEV) in passenger car category, through optimisation of powertrain, considering ... -
En analyse av en Order to Cash-prosess i en norsk produksjonsbedrift med hovedfokus på effektiv informasjonsflyt og informasjonssikkerhet.
Kristiansen, Jostein; Welhaven, Johan Andreas (Master thesis, 2023)Denne oppgaven ser nærmere på informasjonssystemer, informasjonsflyt og informasjonssikkerhet gjennom en "Order to Cash"-prosess (O2C) i en norsk produksjonsbedrift. Bedrifter møter både muligheter og utfordringer ved ... -
Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects
Leirmo, Torbjørn; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Additive Manufacturing (AM) as a manufacturing process is increasingly implemented in manufacturing and is thus subjected to the high demands of industry. With the industrialization of AM technologies follows demands ... -
Extracting shape features from a surface mesh using geometric reasoning
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Baturynska, Ivanna; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Mesh data is extensively used in CAD/CAM applications to approximate three-dimensional (3D) solid models. The STL file format is one of the key file formats for 3D data transfer in modern manufacturing systems. STL files, ... -
Functional and Optical Properties of Structured Surfaces in Additive Manufacturing: Technologies for appearance evaluation in the quality assurance of 3D-printed polymers
Golhin, Ali Payami (Doctoral theses at NTNU;2023:178, Doctoral thesis, 2023)Quality assurance of additively manufactured parts requires assessment of appearance and surface finish quality. Appearance investigation is a primary step to ensure that the manufactured parts meet the required structural, ... -
Future Manufacturing Systems in Norway – Strategy, Architecture and Framework
Kolla, Sri Sudha Vijay Keshav (Master thesis, 2016-09-29)This study investigates the suitability of Cyber Physical Systems (CPS) in Norwegian manufacturing industries and its implementation. This study explores the research and innovation needs in Norway which will be given as ... -
Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Contemporary manufacturing processes are substantially complex due to the involvement of a sizable number of correlated process variables. Uncovering the correlations among these variables would be the most demanding task ... -
Geometric Accuracy in Laser- Based Powder Bed Fusion of Polymers: Tolerance optimization by part build orientation
Leirmo, Torbjørn Langedahl (Doctoral theses at NTNU;2022:71, Doctoral thesis, 2022)As Additive Manufacturing (AM) enters the manufacturing industry, the technology must adhere to stringent quality demands in terms of dimensional and geometric accuracy. However, due to substantial differences in how these ... -
Human-Centered Digital Twin Design for Industrial Symbiosis
Chen, Ziyue (Doctoral theses at NTNU;2022:303, Doctoral thesis, 2022)Industrial symbiosis is a pivotal process in realizing the circular economy. Lags and the lack of information-sharing between companies prevents the symbiotic system from working properly. As a potential solution for ... -
Industry 4.0 Closed Loop Tolerance Engineering Maturity Evaluation
Martinsen, Kristian (Chapter, 2019)Closed Loop Tolerance Engineering (CLTE) is introduced as a model of information flow – feed forward and feedback- between functional requirements, tolerance selection, process capabilities and product performance. “Industry ... -
Integration of digital learning in industry 4.0
Tvenge, Nina; Martinsen, Kristian (Journal article; Peer reviewed, 2018)The emerging advances in sensor systems, automation and Information and Communication Technology (ICT) for manufacturing opens new possibilities for lifelong learning utilizing data from production. The data can be source ... -
Joining of dissimilar materials
Martinsen, Kristian; Hu, SJ; Carlson, B.E. (Journal article; Peer reviewed, 2015)Emerging trends in manufacturing such as light weighting, increased performance and functionality increases the use of multi-material, hybrid structures and thus the need for joining of dissimilar materials. The properties ... -
A Learning Approach for Future Competencies in Manufacturing using a Learning Factory
Dahl, Håkon; Tvenge, Nina; Assuad, Carla Susana A; Martinsen, Kristian (Peer reviewed; Journal article, 2023)This paper describes a study on future competence needs in manufacturing and how a learning factory utilising a Connective Model for Didactic Design can be used in teaching and learning of these competencies. The paper ... -
Learning factories as laboratories for socio-technical experiments
Tvenge, Nina; Martinsen, Kristian; Holtskog, Halvor (Journal article; Peer reviewed, 2019)Production systems might be viewed as complex socio-technical systems. A central part of socio-technical systems theory, is that improvements demands joint optimization of both the technological and the social parts of the ... -
Machine Learning Based Heuristic Technique for Multi-response Machining Process
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Manufacturing process variables influence the quality of products substantially. It is unquestionably difficult to model the manufacturing processes that include a large number of variables and responses. Development of ... -
Machine Learning of Quality Assurance in Polymer Powder Bed Fusion Additive Manufacturing
Baturynska, Ivanna (Doctoral theses at NTNU;2020:120, Doctoral thesis, 2020)The latest developments in the field of additive manufacturing (AM) have led to the wider use of this technology for the production of end-user products. As a result, more stringent requirements are set to the quality of ... -
Measurement systems to support continues improvements in manufacturing teams
Sagbakken, Terje (Master thesis, 2016-09-29) -
Mechanical performance of thermoplastic elastomers for two-component injection moulding
Persson, Anna-Maria Märta Ruth (Doctoral theses at NTNU, 2022:350, Doctoral thesis, 2022)The thesis is based on studies of the mechanical properties of thermoplastic elastomers (TPEs). A TPE is a soft thermoplastic polymer material with rubber-like properties. Vulcanizate TPEs (TPVs) were selected as the main ... -
Monitoring and Control for Thermoplastics Injection Molding A Review
Ogorodnyk, Olga; Martinsen, Kristian (Journal article; Peer reviewed, 2018)Thermoplastics injection molding has found increasing use in several industry sectors. To achieve high effectivity of the process and desirable quality of the manufactured product, correct and precise parameters setting ... -
A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual
Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)The existing contribution plot-based reconstruction fault identification methods suffer from low identification accuracy and serious trailing effect. In this paper, a new fault identification method is proposed based on a ...