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Jansson, A. & Pejryd, L. (2019). Dual-energy computed tomography investigation of additive manufacturing aluminium: carbon-fibre composite joints. Heliyon, 5(2), Article ID e01200.
Open this publication in new window or tab >>Dual-energy computed tomography investigation of additive manufacturing aluminium: carbon-fibre composite joints
2019 (English)In: Heliyon, E-ISSN 2405-8440, Vol. 5, no 2, article id e01200Article in journal (Refereed) Published
Abstract [en]

In this work, aluminium–carbon-fibre reinforced plastic joints have been studied. Three types of samples were designed as double lap joints where the aluminium inserts were fabricated using both classical methods (milling) and additive manufacturing. Two versions of the joint were fabricated using additive manufacturing, one flat, and the other with small teeth designed to hook into the carbon-fibre plies. The joints were characterised using a non-linear, dual-energy computed tomography method to evaluate the bond between the composite and the metal inserts. The mechanical strength of the bonds was evaluated, both through tensile tests and four-point bending. A simple finite element model was used to discuss the joints behaviour. It was found that the joints fabricated using additive manufactured inserts were more resistant to peel stress than the milled inserts. In four-point bending tests the moment that the joint could withstand was increased by roughly 300% with the use of additive manufacturing and 400% with the use of additive manufacturing and small teeth. However, in tensile tests it was found that the teeth design reduced the maximum load capacity of the joints by roughly 30% due to porosity. Further, it was found that the additive manufactured samples did not add to the capability of withstanding shearstress. The information gained with the dual-energy computed tomography method was highly valuable as the behaviour of the joints would have been difficult to explain without the porosity information.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Mechanical engineering, Materials science
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-72142 (URN)10.1016/j.heliyon.2019.e01200 (DOI)000460082200023 ()30839940 (PubMedID)2-s2.0-85061013958 (Scopus ID)
Available from: 2019-02-05 Created: 2019-02-05 Last updated: 2020-12-15Bibliographically approved
Jansson, A. & Pejryd, L. (2019). In-situ computed tomography investigation of the compression behaviour of strut, and periodic surface lattices. In: Rolf Diederichs (Ed.), iCT 2019: . Paper presented at 9th Conference on Industrial Computed Tomography (iCT) 2019, 13-15 Feb, 2019, Padova, Italy (pp. 221-227). NDT.net
Open this publication in new window or tab >>In-situ computed tomography investigation of the compression behaviour of strut, and periodic surface lattices
2019 (English)In: iCT 2019 / [ed] Rolf Diederichs, NDT.net , 2019, p. 221-227Conference paper, Published paper (Refereed)
Abstract [en]

In this work the effects of fabrication errors in the Body Centered Cubic strut lattice, and the periodic surface lattice Schwarz Diamond has been investigated. The lattices were both fabricated as-is and with induced errors to evaluate the lattices response to fabrication errors. The behaviour of the lattices were studied using compression test and in-situ computed tomography investigation. The results show that the Schwarz Diamond lattices in general are stronger than the Body Centered Cubic lattices in all of the measured aspects. Often up to five times stronger. It was also found that the elastic behaviour of the Schwarz Diamond lattices were mainly unaffected by fabrication errors while the Body Centered Cubic lattices experienced severe losses in performance. The behaviour of the lattices under compression could be followed using computed tomography which aided in the understanding of their behaviour.

Place, publisher, year, edition, pages
NDT.net, 2019
Keywords
Additive manufacturing, computed tomography, periodic surface lattices, in-situ compression, fabrication error
National Category
Engineering and Technology Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-72514 (URN)
Conference
9th Conference on Industrial Computed Tomography (iCT) 2019, 13-15 Feb, 2019, Padova, Italy
Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2020-02-14Bibliographically approved
Zekavat, A. R., Jansson, A., Larsson, J. & Pejryd, L. (2019). Investigating the effect of fabrication temperature on mechanical properties of fused deposition modelling parts using X-ray computed tomography. The International Journal of Advanced Manufacturing Technology, 100(1-4), 287-296
Open this publication in new window or tab >>Investigating the effect of fabrication temperature on mechanical properties of fused deposition modelling parts using X-ray computed tomography
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 100, no 1-4, p. 287-296Article in journal (Refereed) Published
Abstract [en]

Fused deposition modeling (FDM) is one of the most common additive manufacturing (AM) techniques for fabricating prototypes as well as functional parts. In this technique, several parameters may influence the part quality and consequently mechanical properties of fabricated components. In this paper, an experimental investigation on effects of fabrication temperature as one of the influential parameters on mechanical properties of manufactured parts is presented. A series of specimens fabricated at temperatures ranging from 180 to 260 C were used for this investigation. X-ray computed tomography (CT) was used in order to non-destructively analyze the internal geometry of the specimens especially the bond between extruded filaments. Finally, the specimens were subjected to a uniaxial tensile load for evaluation of mechanical properties. The results showed that the specimens fabricated at lower temperatures have relatively lower tensile strength despite their considerably higher strain at break. In addition, the specimens fabricated at higher temperature range had significantly higher tensile strength because of the better bond between extruded filaments. The different mechanical responses were highly related to the internal geometry of the specimens and not necessarily the porosity. CT showed great potential as a non-destructive tool for investigation and development of FDM process.

Place, publisher, year, edition, pages
Springer London, 2019
Keywords
Fused deposition modeling, Computed tomography, Polylactic acid, Additive manufacturing
National Category
Other Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-69110 (URN)10.1007/s00170-018-2664-8 (DOI)000455946000025 ()2-s2.0-85053832455 (Scopus ID)
Available from: 2018-09-28 Created: 2018-09-28 Last updated: 2020-01-31Bibliographically approved
Larsson, J., Jansson, A. & Karlsson, P. (2019). Monitoring and evaluation of the wire drawing process using thermal imaging. The International Journal of Advanced Manufacturing Technology, 101(5-8), 2121-2134
Open this publication in new window or tab >>Monitoring and evaluation of the wire drawing process using thermal imaging
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 101, no 5-8, p. 2121-2134Article in journal (Refereed) Published
Abstract [en]

Wire drawing is a cold work metal forming process which is dependant of a functional lubrication process. If the lubrication fails, there is a risk that both the tools and the produced wire will be damaged. Process monitoring of wire drawing is rare in today’s industry since there are no commercialised methods that deliver consistent results. In this paper, a method for monitoring of the wire drawing process is proposed and evaluated. A thermal imaging camera was used for acquiring thermal images of the wire as it leaves the drawing tool. It was found that the proposed method could capture changes in the wire drawing process and had correlation to the drawing force. An equation for estimating the friction condition between the wire and the drawing die using the wire temperature was also proposed and evaluated against experiments. The results showed that the new equation produced results that correlated well to results obtained using a conventional equation that use drawing force.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Wire drawing, Thermal imaging camera, Process monitoring
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-70616 (URN)10.1007/s00170-018-3021-7 (DOI)000463240400076 ()2-s2.0-85057885212 (Scopus ID)
Available from: 2018-12-10 Created: 2018-12-10 Last updated: 2024-03-06Bibliographically approved
Jansson, A. (2019). More Than a Shadow: Computed Tomography Method Development and Applications Concerning Complex Material Systems. (Doctoral dissertation). Örebro: Örebro University
Open this publication in new window or tab >>More Than a Shadow: Computed Tomography Method Development and Applications Concerning Complex Material Systems
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The complexity of the components fabricated in today's industry is ever increasing. This is partly due to market pressure, but it is also a result from recent progress in fabrication technologies that open up new design possibilities. The increased use of additive manufacturing and multi-material systems, especially, has driven the complexity of parts to new heights. The new complex material systems bring benets in many areas such as; mechanical properties, weight reduction, and multifunctions. However, the increased complexity also makes inspection and dimensional control more dicult. In additive manufacturing, for example, internal features can be fabricated which cannot be seen or measured with conventional tools. There is thus a need for non-destructive inspection methods that can measure these geometries. Such a method is X-ray computed tomography. Computed tomography utilizes the X-rays ability to penetrate material to create 3D digital volumes of components. Measurements and material investigations can be performed in these volumes without any damage to the investigated component. However, industrial computed tomography is still not a fully mature method and there are many uncertainties associated with the investigation technique. In this work, a dual-energy computed tomography tool has been developed with the aim to increase the performance of computed tomography when investigating complex geometries and material combinations. This method has been applied to various phantoms and an industrial case. Also, in this work, complex lattice structures fabricated with additive manufacturing have been investigated and analysed using computed tomography. The results show that the new DECT method improves measurement results and can be utilized to inspect multi-material components. The results also show that computed tomography can be used successfully to gain knowledge about complex lattices.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2019. p. 139
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 84
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-73739 (URN)978-91-7529-286-1 (ISBN)
Public defence
2019-06-12, Örebro universitet, Teknikhuset, Hörsal T, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2020-01-31Bibliographically approved
Jansson, A. (2019). Non-linear dual-energy method development and evaluation for industrial computed tomography. Measurement science and technology, 30(6), Article ID 065006.
Open this publication in new window or tab >>Non-linear dual-energy method development and evaluation for industrial computed tomography
2019 (English)In: Measurement science and technology, ISSN 0957-0233, E-ISSN 1361-6501, Vol. 30, no 6, article id 065006Article in journal (Refereed) Published
Abstract [en]

Industrial computed tomography of multi-material objects can be problematic due to difficulties in optimising the x-ray spectra of the scan. A possible solution to the problem is to use two x-ray spectra when scanning objects. The results from such scans can be fused into a single data-set that contains enhanced information. This practice is known as dual-energy computed tomography (DECT). In this work, the aim was to investigate two DECT methods ability to improve measurements in multi-material phantoms. To determine the performance of the methods three different phantoms containing precision spheres as measurement objects were investigated. To improve measurements in this work was defined as improving the measurement consistency of diameter measurements. The phantoms were also scanned with a single setting for comparison. The fusion of the data-sets was done using two methods, a linear fusion, and a novel non-linear fusion. Both of the methods relies on pre-reconstruction fusion of data-sets. The results show that both of the DECT methods improved measurement results significantly compared to the reference method. Further, the results show that the novel non-linear DECT method produces more accurate measurement results compared to the linear method.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2019
Keywords
Industrial computed tomography, dual-energy, metrology, multi-material, measurement consistency
National Category
Engineering and Technology Mechanical Engineering
Research subject
Physics
Identifiers
urn:nbn:se:oru:diva-74031 (URN)10.1088/1361-6501/ab10cc (DOI)000466894300001 ()2-s2.0-85067570411 (Scopus ID)
Available from: 2019-05-03 Created: 2019-05-03 Last updated: 2023-12-08Bibliographically approved
Larsson, J., Jansson, A. & Pejryd, L. (2019). Wire 4.0. In: : . Paper presented at Wire & Cable, Verona, Italia, 21-22 October 2019 (pp. 185-198).
Open this publication in new window or tab >>Wire 4.0
2019 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Today many manufacturing plants are getting increasingly digitized to stay competitive. Data from the production machines can be transferred to a central storage/cloud for process/factory surveillance and for optimizing the processes. However, first data must be acquired. Wire drawing machines are seldom equipped with sensors that measure product quality, tool wear or the condition of the lubrication. This work presents concepts, experience and applications, of such sensors for wire drawing machines.

Keywords
Wire drawing, Industry 4.0, Digitization, Process monitoring
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-78390 (URN)
Conference
Wire & Cable, Verona, Italia, 21-22 October 2019
Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2020-01-31Bibliographically approved
Flores Ituarte, I., Wiikinkoski, O. & Jansson, A. (2018). Additive Manufacturing of Polypropylene: A Screening Design of Experiment Using Laser-Based Powder Bed Fusion. Polymers, 10(12), Article ID 1293.
Open this publication in new window or tab >>Additive Manufacturing of Polypropylene: A Screening Design of Experiment Using Laser-Based Powder Bed Fusion
2018 (English)In: Polymers, E-ISSN 2073-4360, Vol. 10, no 12, article id 1293Article in journal (Refereed) Published
Abstract [en]

The use of commodity polymers such as polypropylene (PP) is key to open new market segments and applications for the additive manufacturing industry. Technologies such as powder-bed fusion (PBF) can process PP powder; however, much is still to learn concerning process parameters for reliable manufacturing. This study focusses in the process–property relationships of PP using laser-based PBF. The research presents an overview of the intrinsic and the extrinsic characteristic of a commercial PP powder as well as fabrication of tensile specimens with varying process parameters to characterize tensile, elongation at break, and porosity properties. The impact of key process parameters, such as power and scanning speed, are systematically modified in a controlled design of experiment. The results were compared to the existing body of knowledge; the outcome is to present a process window and optimal process parameters for industrial use of PP. The computer tomography data revealed a highly porous structure inside specimens ranging between 8.46% and 10.08%, with porosity concentrated in the interlayer planes in the build direction. The results of the design of experiment for this commercial material show a narrow window of 0.122 > Ev > 0.138 J/mm3 led to increased mechanical properties while maintaining geometrical stability.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
Additive manufacturing, powder-bed fusion, laser sintering, polypropylene, process parameter optimization, mechanical properties, computed tomography
National Category
Chemical Engineering Polymer Technologies
Identifiers
urn:nbn:se:oru:diva-70289 (URN)10.3390/polym10121293 (DOI)000454748700001 ()2-s2.0-85057225053 (Scopus ID)
Note

Funding Agency:

Aalto University Department of Mechanical Engineering 

Available from: 2018-11-22 Created: 2018-11-22 Last updated: 2025-02-18Bibliographically approved
Zekavat, A. R., Jansson, A., Gundlach, C. & Pejryd, L. (2018). Effect of X-ray Computed Tomography Magnification on Surface Morphology Investigation of Additive Manufacturing Surfaces. In: 8th Conference on Industrial Computed Tomography: . Paper presented at iCT conference 2018, Wels, Austria, 7 February, 2018.
Open this publication in new window or tab >>Effect of X-ray Computed Tomography Magnification on Surface Morphology Investigation of Additive Manufacturing Surfaces
2018 (English)In: 8th Conference on Industrial Computed Tomography, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Additive manufacturing (AM) in the last decade has become a widespread manufacturing process. The possibilities that such technologies have provided for manufacturing of complex geometries compared to conventional manufacturing processes has made them popular in many branches of industry. Despite the advantages of these methods, there are limiting issues which needs to be thoroughly investigated. A limiting factor, especially for powder bed AM parts is their undesired surface finish. AM surfaces can be investigated using various methods such as optical or tactile methods, however for complex AM surfaces they are incapable of capturing all details such as deep valleys at surface level. X-ray computed tomography (CT), can provide 3D information of complex AM surfaces and does not have limitations that line of sight and tactile methods have. There are several parameters in CT investigation, which can potentially alter the obtained results. Depending on the CT magnification at which the data is acquired the result specifically surface level detail might be affected. The aim of this study is to investigate the effect of different CT magnifications on surface texture measurement of additively manufactured surfaces. Surface features, including highest peaks and deepest valleys contributing to maximum and minimum thickness of specimen from different magnifications were compared with each other. The result shows that, the lower magnification scans underestimate both peak and valley measurements in comparison to the highest magnification scan. Measurement of valleys and re-entrant features were underestimated at more considerable level. The results from this study provide some understanding regarding surface morphology assessment of AM parts and the level of detail which can be expected depending on the CT magnification.

Keywords
Computed tomography, Additive manufacturing, Surface texture
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-65426 (URN)
Conference
iCT conference 2018, Wels, Austria, 7 February, 2018
Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2020-01-31Bibliographically approved
Jansson, A., Hermanek, P., Pejryd, L. & Carmignato, S. (2018). Multi-material gap measurements using dual-energy computed tomography. Precision engineering, 54, 420-426
Open this publication in new window or tab >>Multi-material gap measurements using dual-energy computed tomography
2018 (English)In: Precision engineering, ISSN 0141-6359, E-ISSN 1873-2372, Vol. 54, p. 420-426Article in journal (Refereed) Published
Abstract [en]

X-ray computed tomography is a highly versatile investigation method with applications in a wide range ofareas. One of the areas where the technique has seen an increased usage, and an increased interest from industry,is in dimensional metrology. X-ray computed tomography enables the measurement of features and dimensionsthat are difficult to inspect using other methods. However, there are issues with the method when it comes tomeasurements of objects that consist of several materials. In particular, it is difficult to obtain accurate computedtomography results for all materials when the attenuation of materials differs significantly. The aim of this workwas to measure small air gaps between different materials using dual-energy X-ray computed tomography. Thedual-energy method employed in this work uses two energy spectra and fuses the data in the projections spaceusing non-linear fusion. The results from this study show that the dual-energy method used in this work was ableto capture more measurements than regular absorption computed tomography in the case of specimens withhighly different attenuation, enabling, in particular, the measurement of smaller gaps. The contrast-to-noise ratiowas also increased significantly with the use of dual-energy.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Metrology, Computed tomography, Dual-energy, Multi-material measurements
National Category
Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-68991 (URN)10.1016/j.precisioneng.2018.07.012 (DOI)000452579900046 ()2-s2.0-85051065309 (Scopus ID)
Funder
EU, FP7, Seventh Framework Programme, 607817
Available from: 2018-09-21 Created: 2018-09-21 Last updated: 2020-01-31Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9362-8328

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