Browsing NTNU Open by Author "Semeniuta, Oleksandr"
Now showing items 1-20 of 22
-
Analysis of a robot welding system and possible concepts for improvement for a Norwegian SME
König, Lukas (Master thesis, 2019)The production of commodities in Norway requires a well designed production system, able to cope with customer requirements and challenges induced by the economic standards of the country. Customers require high quality ... -
Analysis of Camera Calibration with Respect to Measurement Accuracy
Semeniuta, Oleksandr (Journal article; Peer reviewed, 2016)Machine vision is used for applications such as automated inspection, process control and robot guidance, and is directly associated with increasing of manufacturing process flexibility. The presence of noise in image data ... -
Application of Machine Learning Methods to Improve Dimensional Accuracy in Additive Manufacturing
Baturynska, Ivanna; Semeniuta, Oleksandr; Wang, Kesheng (Chapter, 2019)Adoption of additive manufacturing for producing end-use products faces a range of limitations. For instance, quality of AM-fabricated parts varies from run to run and from machine to machine. There is also a lack of ... -
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 ... -
Cascading trade-off studies for robotic deburring systems
Onstein, Ingrid Fjordheim; Haskins, Cecilia; Semeniuta, Oleksandr (Peer reviewed; Journal article, 2022)Advanced manufacturing technologies play an important role in keeping production in high-cost countries. Due to their flexibility, robot-based solutions have been one of the major enablers in establishing advanced manufacturing ... -
Deburring Using Robot Manipulators: A Review
Onstein, Ingrid Fjordheim; Semeniuta, Oleksandr; Bjerkeng, Magnus Christian (Chapter, 2020)Deburring of cast parts can be a very challenging task. Today, large burrs on large casting are mostly removed manually. Workers are exposed to hazardous working conditions through, among other things, high noise and ... -
Design av frontmonterte feiemaskin med oppsamler for bæremaskin
Broks, Andreas Dilling; Gaarder, Anne Marte; Hollingsæter, Torunn Schønning (Bachelor thesis, 2016-10-05)Målet ved oppgaven har vært å utvikle oppsamlingsprosessen for frontmontert feiemaskin med oppsamler for bæremaskin. Tokvam skal utvikle en kost med oppsamler, for å følge markedstrenden, og fortsatt være en aktuell aktør ... -
Discrete event dataflow as a formal approach to specification of industrial vision systems
Semeniuta, Oleksandr; Falkman, Petter (Chapter; Peer reviewed, 2015)The need for more flexible manufacturing systems stimulates the adoption of industrial robots in combination with intelligent computing resources and sophisticated sensing technologies. In this context, industrial vision ... -
EPypes: a framework for building event-driven data processing pipelines
Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)Many data processing systems are naturally modeled as pipelines, where data flows though a network of computational procedures. This representation is particularly suitable for computer vision algorithms, which in most ... -
Event-driven industrial robot control architecture for the Adept V+ platform
Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)Modern industrial robotic systems are highly interconnected. They operate in a distributed environment and communicate with sensors, computer vision systems, mechatronic devices, and computational components. On the ... -
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, ... -
Flexible Image Acquisition Service for Distributed Robotic Systems
Semeniuta, Oleksandr; Falkman, Petter (Chapter, 2018)The widespread use vision systems in robotics introduces a number of challenges related to management of image acquisition and image processing tasks, as well as their coupling to the robot control function. With the ... -
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 ... -
Gurisentret 3D Print
Lunde, Lars Erik; Swensen, Marcus Leikfoss (Bachelor thesis, 2021)Dette prosjektet er gitt av Smøla Kommune Nærings- og Kultursenter KF i samarbeid med NTNU AddLab og er det avsluttende prosjektet i Bachelor i Webutvikling (BWU) hos Norges Teknisk-Naturvitenskapelige Universitet. Smøla ... -
Investigating the Dimensional and Geometric Accuracy of Laser-Based Powder Bed Fusion of PA2200 (PA12): Experiment Design and Execution
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr (Peer reviewed; Journal article, 2021)Variation management in additive manufacturing (AM) is progressively more important as technologies are implemented in industrial manufacturing systems; hence massive research efforts are focused on the modeling and ... -
Minimizing form errors in additive manufacturing with part build orientation: An optimization method for continuous solution spaces
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr (Peer reviewed; Journal article, 2022)For additive manufacturing (AM) to be successfully implemented in manufacturing systems, the geometric accuracy of components must be controlled in terms of form, fit, and function. Because the accuracy of AM products is ... -
Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework
Baturynska, Ivanna; Semeniuta, Oleksandr; Martinsen, Kristian (Journal article; Peer reviewed, 2018)In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. ... -
Process Failure Detection in Fused Filament Fabrication with Internal Data
Natys, Klaudijus (Master thesis, 2021)Additiv produksjon (AM) slik som smeltet filamentfabrikasjon (FFF) er en disruptiv teknologi som introduserer muligheten til å produsere produkter på nye måter. Imidlertid står den ovenfor utfordringer når det kommer til ... -
Subset-based stereo calibration method optimizing triangulation accuracy
Semeniuta, Oleksandr (Peer reviewed; Journal article, 2021) -
Tolerancing from STL data: A Legacy Challenge
Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Martinsen, Kristian (Journal article; Peer reviewed, 2020)Part representation in additive manufacturing (AM) is dominated by the stereolithography (STL) file format as a universal mode for communicating and transferring part geometry from one system to another. However, when the ...