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Noreland, Daniel
Publications (10 of 16) Show all publications
Bokhari, A. H., Berggren, M., Noreland, D. & Wadbro, E. (2023). Loudspeaker cabinet design by topology optimization. Scientific Reports, 13(1), Article ID 21248.
Open this publication in new window or tab >>Loudspeaker cabinet design by topology optimization
2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 21248Article in journal (Refereed) Published
Abstract [en]

Using material distribution-based topology optimization, we optimize the bandpass design of a loudspeaker cabinet targeting low frequencies. The objective is to maximize the loudspeaker’s output power for a single frequency as well as a range of frequencies. To model the loudspeaker’s performance, we combine a linear electromechanical transducer model with a computationally efficient hybrid 2D–3D model for sound propagation. The adjoint variable approach computes the gradients of the objective function with respect to the design variables, and the Method of Moving Asymptotes (MMA) solves the topology optimization problem. To manage intermediate values of the material indicator function, a quadratic penalty is added to the objective function, and a non-linear filter is used to obtain a mesh independent design. By carefully selecting the target frequency range, we can guide the optimization algorithm to successfully generate a loudspeaker design with the required bandpass character. To the best of our knowledge, this study constitutes the first successful attempt to design the interior structure of a loudspeaker cabinet using topology optimization.

Place, publisher, year, edition, pages
Springer Nature, 2023
National Category
Applied Mechanics
Identifiers
urn:nbn:se:umu:diva-218076 (URN)10.1038/s41598-023-46170-4 (DOI)2-s2.0-85178334680 (Scopus ID)
Funder
Swedish Research Council, 2018-03546Swedish Research Council, 2022-03783
Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2023-12-19Bibliographically approved
Bokhari, A. H., Berggren, M., Noreland, D. & Wadbro, E. (2021). A computationally efficient hybrid 2D–3D subwoofer model. Scientific Reports, 11, Article ID 255.
Open this publication in new window or tab >>A computationally efficient hybrid 2D–3D subwoofer model
2021 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 11, article id 255Article in journal (Refereed) Published
Abstract [en]

A subwoofer generates the lowest frequency range in loudspeaker systems. Subwoofers are used in audio systems for live concerts, movie theatres, home theatres, gaming consoles, cars, etc. During the last decades, numerical simulations have emerged as a cost- and time-efficient complement to traditional experiments in the design process of different products. The aim of this study is to reduce the computational time of simulating the average response for a given subwoofer design. To this end, we propose a hybrid 2D–3D model that reduces the computational time significantly compared to a full 3D model. The hybrid model describes the interaction between different subwoofer components as interacting modules whose acoustic properties can partly be pre-computed. This allows us to efficiently compute the performance of different subwoofer design layouts. The results of the hybrid model are validated against both a lumped element model and a full 3D model over a frequency band of interest. The hybrid model is found to be both accurate and computationally efficient.

Place, publisher, year, edition, pages
Nature Publishing Group, 2021
Keywords
Acoustics, Applied Mathematics, Computational Science
National Category
Computational Mathematics
Identifiers
urn:nbn:se:umu:diva-178326 (URN)10.1038/s41598-020-80092-9 (DOI)000634380400001 ()2-s2.0-85098947980 (Scopus ID)
Funder
eSSENCE - An eScience CollaborationSwedish National Infrastructure for Computing (SNIC)
Available from: 2021-01-09 Created: 2021-01-09 Last updated: 2023-09-05Bibliographically approved
Wadbro, E. & Noreland, D. (2019). Continuous transportation as a material distribution topology optimization problem. Structural and multidisciplinary optimization (Print), 59, 1471-1482
Open this publication in new window or tab >>Continuous transportation as a material distribution topology optimization problem
2019 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 59, p. 1471-1482Article in journal (Refereed) Published
Abstract [en]

The problem of moving a commodity with a given initial mass distribution to a pre-specified target mass distribution so that the total work is minimized can be traced back at least to Monge’s work from 1781. Here, we consider a version of this problem aiming to minimize a combination of road construction and transportation cost by determining, at each point, the local direction of transportation. This paper covers the modeling of the problem, highlights how it can be formulated as a material distribution topology optimization problem, and shows some results.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2019
Keywords
Topology optimization, Continuous transportation, Road design, Large-scale problems
National Category
Computational Mathematics
Identifiers
urn:nbn:se:umu:diva-154290 (URN)10.1007/s00158-018-2140-y (DOI)000464743400005 ()2-s2.0-85058044832 (Scopus ID)
Available from: 2018-12-14 Created: 2018-12-14 Last updated: 2023-09-05Bibliographically approved
Berggren, M., Bernland, A. & Noreland, D. (2018). Acoustic boundary layers as boundary conditions. Journal of Computational Physics, 371, 633-650
Open this publication in new window or tab >>Acoustic boundary layers as boundary conditions
2018 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 371, p. 633-650Article in journal (Refereed) Published
Abstract [en]

The linearized, compressible Navier-Stokes equations can be used to model acoustic wave propagation in the presence of viscous and thermal boundary layers. However, acoustic boundary layers are notorious for invoking prohibitively high resolution requirements on numerical solutions of the equations. We derive and present a strategy for how viscous and thermal boundary-layer effects can be represented as a boundary condition on the standard Helmholtz equation for the acoustic pressure. This boundary condition constitutes an O (delta) perturbation, where delta is the boundary-layer thickness, of the vanishing Neumann condition for the acoustic pressure associated with a lossless sound-hard wall. The approximate model is valid when the wavelength and the minimum radius of curvature of the wall is much larger than the boundary layer thickness. In the special case of sound propagation in a cylindrical duct, the model collapses to the classical Kirchhoff solution. We assess the model in the case of sound propagation through a compression driver, a kind of transducer that is commonly used to feed horn loudspeakers. Due to the presence of shallow chambers and thin slits in the device, it is crucial to include modeling of visco-thermal losses in the acoustic analysis. The transmitted power spectrum through the device calculated numerically using our model agrees well with computations using a hybrid model, where the full linearized, compressible Navier-Stokes equations are solved in the narrow regions of the device and the inviscid Helmholtz equations elsewhere. However, our model needs about two orders of magnitude less memory and computational time than the more complete model. 

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Acoustics, Visco-thermal boundary layers, Helmholtz equation, Wentzell boundary condition, Compression driver
National Category
Fluid Mechanics and Acoustics Computational Mathematics
Identifiers
urn:nbn:se:umu:diva-150643 (URN)10.1016/j.jcp.2018.06.005 (DOI)000438393900031 ()2-s2.0-85048401964 (Scopus ID)
Funder
Swedish Research Council, 621-2013-3706Swedish Foundation for Strategic Research , AM13-0029
Available from: 2018-08-31 Created: 2018-08-31 Last updated: 2023-03-23Bibliographically approved
Badariah Asan, N., Hassan, E., Velander, J., Redzwan Mohd Shah, S., Noreland, D., Blokhuis, T. J., . . . Augustine, R. (2018). Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies. Sensors, 18(9), Article ID 2752.
Open this publication in new window or tab >>Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies
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2018 (English)In: Sensors, E-ISSN 1424-8220, Vol. 18, no 9, article id 2752Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate the use of fat tissue as a communication channel between in-body, implanted devices at R-band frequencies (1.7–2.6 GHz). The proposed fat channel is based on an anatomical model of the human body. We propose a novel probe that is optimized to efficiently radiate the R-band frequencies into the fat tissue. We use our probe to evaluate the path loss of the fat channel by studying the channel transmission coefficient over the R-band frequencies. We conduct extensive simulation studies and validate our results by experimentation on phantom and ex-vivo porcine tissue, with good agreement between simulations and experiments. We demonstrate a performance comparison between the fat channel and similar waveguide structures. Our characterization of the fat channel reveals propagation path loss of ∼0.7 dB and ∼1.9 dB per cm for phantom and ex-vivo porcine tissue, respectively. These results demonstrate that fat tissue can be used as a communication channel for high data rate intra-body networks.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
intra-body communication, path loss, microwave probes, channel characterization, fat tissue, ex-vivo, phantom, dielectric properties, topology optimization
National Category
Communication Systems Computer Sciences Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:umu:diva-150977 (URN)10.3390/s18092752 (DOI)000446940600011 ()30134629 (PubMedID)2-s2.0-85052218591 (Scopus ID)
Funder
eSSENCE - An eScience Collaboration, 5700-15103VINNOVA, 2015-04159Swedish Foundation for Strategic Research , RIT17-0020
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2022-02-10Bibliographically approved
Asan, N. B., Penichet, C. P., Shah, S. R., Noreland, D., Hassan, E., Rydberg, A., . . . Augustine, R. (2017). Data Packet Transmission Through Fat Tissue for Wireless IntraBody Networks. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 1(2), 43-51
Open this publication in new window or tab >>Data Packet Transmission Through Fat Tissue for Wireless IntraBody Networks
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2017 (English)In: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, ISSN 2469-7249, Vol. 1, no 2, p. 43-51Article in journal (Refereed) Published
Abstract [en]

This paper explores high data rate microwave communication through fat tissue in order to address the wide bandwidth requirements of intrabody area networks. We have designed and carried out experiments on an IEEE 802.15.4-based WBAN prototype by measuring the performance of the fat tissue channel in terms of data packet reception with respect to tissue length and power transmission. This paper proposes and demonstrates a high data rate communication channel through fat tissue using phantom and ex-vivo environments. Here, we achieve a data packet reception of approximately 96% in both environments. The results also show that the received signal strength drops by similar to 1 dBm per 10 mm in phantom and similar to 2 dBmper 10 mm in ex-vivo. The phantom and ex-vivo experimentations validated our approach for high data rate communication through fat tissue for intrabody network applications. The proposed method opens up new opportunities for further research in fat channel communication. This study will contribute to the successful development of high bandwidth wireless intrabody networks that support high data rate implanted, ingested, injected, or worn devices.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
Intra-body communication, microwave, channel characterization, data packet, software defined radio, GNU radio, ex-vivo, phantom
National Category
Communication Systems
Identifiers
urn:nbn:se:umu:diva-191591 (URN)10.1109/JERM.2017.2766561 (DOI)000722440900001 ()2-s2.0-85052244078 (Scopus ID)
Funder
Vinnova, 2015-04159eSSENCE - An eScience Collaboration
Available from: 2022-01-24 Created: 2022-01-24 Last updated: 2023-03-24Bibliographically approved
Asan, N. B., Redzwan, S., Rydberg, A., Augustine, R., Noreland, D., Hassan, E. & Voigt, T. (2017). Human Fat Tissue: A Microwave Communication Channel. In: 2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC): . Paper presented at 1st IEEE MTT-S International Microwave Bio Conference (IMBioC), Gothenburg, Sweden, 15-17 May, 2017. IEEE
Open this publication in new window or tab >>Human Fat Tissue: A Microwave Communication Channel
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2017 (English)In: 2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an approach for communication through human body tissue in the R-band frequency range. This study examines the ranges of microwave frequencies suitable for intra-body communication. The human body tissues are characterized with respect to their transmission properties using simulation modeling and phantom measurements. The variations in signal coupling with respect to different tissue thicknesses are studied. The simulation and phantom measurement results show that electromagnetic communication in the fat layer is viable with attenuation of approximately 2 dB per 20 mm.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
tissue characterization, transmission medium, biomedical sensor, channel model, phantom measurement
National Category
Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:umu:diva-163054 (URN)10.1109/IMBIOC.2017.7965801 (DOI)000463704900034 ()2-s2.0-85026646493 (Scopus ID)978-1-5386-1713-7 (ISBN)
Conference
1st IEEE MTT-S International Microwave Bio Conference (IMBioC), Gothenburg, Sweden, 15-17 May, 2017
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2024-07-02Bibliographically approved
Asan, N. B., Noreland, D., Hassan, E., Shah, S. R., Rydberg, A., Blokhuis, T. J., . . . Augustine, R. (2017). Intra-body microwave communication through adipose tissue. Healthcare technology letters, 4(4), 115-121
Open this publication in new window or tab >>Intra-body microwave communication through adipose tissue
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2017 (English)In: Healthcare technology letters, E-ISSN 2053-3713, Vol. 4, no 4, p. 115-121Article in journal (Refereed) Published
Abstract [en]

The human body can act as a medium for the transmission of electromagnetic waves in the wireless body sensor networks context. However, there are transmission losses in biological tissues due to the presence of water and salts. This Letter focuses on lateral intra-body microwave communication through different biological tissue layers and demonstrates the effect of the tissue thicknesses by comparing signal coupling in the channel. For this work, the authors utilise the R-band frequencies since it overlaps the industrial, scientific and medical radio (ISM) band. The channel model in human tissues is proposed based on electromagnetic simulations, validated using equivalent phantom and ex-vivo measurements. The phantom and ex-vivo measurements are compared with simulation modelling. The results show that electromagnetic communication is feasible in the adipose tissue layer with a low attenuation of approximate to 2 dB per 20 mm for phantom measurements and 4 dB per 20 mm for ex-vivo measurements at 2 GHz. Since the dielectric losses of human adipose tissues are almost half of ex-vivo tissue, an attenuation of around 3 dB per 20 mm is expected. The results show that human adipose tissue can be used as an intra-body communication channel.

Place, publisher, year, edition, pages
The Institution of Engineering and Technology, 2017
Keywords
electromagnetic wave transmission, body sensor networks, biological tissues, phantoms, dielectric losses, wireless body sensor networks, transmission losses, water, salts, lateral intrabody microwave communication, biological tissue layers, tissue thicknesses, signal coupling, R-band frequencies, industrial radio band, scientific radio band, medical radio band, electromagnetic simulations, equivalent phantom, ex-vivo measurements, adipose tissue layer, phantom measurements
National Category
Medical Engineering Biomedical Laboratory Science/Technology
Identifiers
urn:nbn:se:umu:diva-139151 (URN)10.1049/htl.2016.0104 (DOI)000408370500001 ()2-s2.0-85041814278 (Scopus ID)
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2024-07-02Bibliographically approved
Asan, N. B., Velander, J., Redzwan, S., Augustine, R., Hassan, E., Noreland, D., . . . Blokhuis, T. J. (2017). Reliability of the Fat Tissue Channel for Intra-body Microwave Communication. In: 2017 IEEE Conference on Antenna Measurements & Applications (CAMA): . Paper presented at IEEE Conference on Antenna Measurements and Applications (CAMA), DEC 04-06, 2017, Tsukuba, JAPAN (pp. 310-313). IEEE
Open this publication in new window or tab >>Reliability of the Fat Tissue Channel for Intra-body Microwave Communication
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2017 (English)In: 2017 IEEE Conference on Antenna Measurements & Applications (CAMA), IEEE , 2017, p. 310-313Conference paper, Published paper (Refereed)
Abstract [en]

Recently, the human fat tissue has been proposed as a microwave channel for intra-body sensor applications. In this work, we assess how disturbances can prevent reliable microwave propagation through the fat channel. Perturbants of different sizes are considered. The simulation and experimental results show that efficient communication through the fat channel is possible even in the presence of perturbants such as embedded muscle layers and blood vessels. We show that the communication channel is not affected by perturbants that are smaller than 15 mm cube.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Conference on Antenna Measurements & Applications, ISSN 2474-1760
Keywords
microwaves, dielectric properties, fat channel, intra-body communication, phantom
National Category
Clinical Science
Identifiers
urn:nbn:se:umu:diva-145629 (URN)10.1109/CAMA.2017.8273435 (DOI)000425256200088 ()2-s2.0-85046268103 (Scopus ID)978-1-5090-5028-4 (ISBN)
Conference
IEEE Conference on Antenna Measurements and Applications (CAMA), DEC 04-06, 2017, Tsukuba, JAPAN
Available from: 2018-03-13 Created: 2018-03-13 Last updated: 2024-07-02Bibliographically approved
Hassan, E., Noreland, D., Wadbro, E. & Berggren, M. (2017). Topology Optimisation of Wideband Coaxial-to-Waveguide Transitions. Scientific Reports, 7, Article ID 45110.
Open this publication in new window or tab >>Topology Optimisation of Wideband Coaxial-to-Waveguide Transitions
2017 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 7, article id 45110Article in journal (Refereed) Published
Abstract [en]

To maximize the matching between a coaxial cable and rectangular waveguides, we present a computational topology optimisation approach that decides for each point in a given domain whether to hold a good conductor or a good dielectric. The conductivity is determined by a gradient-based optimisation method that relies on finite-difference time-domain solutions to the 3D Maxwell’s equations. Unlike previously reported results in the literature for this kind of problems, our design algorithm can efficiently handle tens of thousands of design variables that can allow novel conceptual waveguide designs. We demonstrate the effectiveness of the approach by presenting optimised transitions with reflection coefficients lower than −15dB over more than a 60% bandwidth, both for right-angle and end-launcher configurations. The performance of the proposed transitions is crossverified with a commercial software, and one design case is validated experimentally.

Keywords
topology optimization, finite-difference time- domain (FDTD), adjoint-field problem, waveguides, coaxial cable, transitions design, end-launcher.
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-102577 (URN)10.1038/srep45110 (DOI)000397137700001 ()2-s2.0-85016150245 (Scopus ID)
Funder
Swedish Research Council, 621-2013-3706
Available from: 2015-04-28 Created: 2015-04-28 Last updated: 2023-03-24Bibliographically approved
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