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Journal articles on the topic 'Multi-scale design'

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Author: Grafiati

Published: 14 March 2023

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1

Sakita, Kazuhiro. "WeC-1-4 DESIGN AND DEVELOPMENT OF MULTI-SCALE PRODUCT DESIGN SYSTEM." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _WeC—1–4–1—_WeC—1–4–3. http://dx.doi.org/10.1299/jsmemipe.2015._wec-1-4-1.

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2

Liu, Wei. "Multi-scale catalyst design." Chemical Engineering Science 62, no. 13 (July 2007): 3502–12. http://dx.doi.org/10.1016/j.ces.2007.02.057.

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3

Niu, Yulei, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, and Shih-Fu Chang. "Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation." IEEE Transactions on Image Processing 28, no. 4 (April 2019): 1720–31. http://dx.doi.org/10.1109/tip.2018.2881928.

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4

De Cooman, Bruno C., H. K. D. H. Bhadeshia, and Frédéric Barlat. "Advanced Steel Design by Multi-Scale Modeling." Materials Science Forum 654-656 (June 2010): 41–46. http://dx.doi.org/10.4028/www.scientific.net/msf.654-656.41.

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The present contribution highlights the approach to multi-scale steel design used at the Graduate Institute of Ferrous Technology (GIFT). Multi-scale modeling combining ab-initio methods, molecular dynamics, crystal plasticity modeling etc. enables GIFT researchers to gain a better fundamental understanding of phase and lattice stability, magnetic properties and basic mechanical constants. In addition, these methods allow for the reliable determination of critical material parameters. The opportunities for the development of new steel grade is thereby greatly enhanced and, when these new materials-oriented methods are combined with the more traditional engineering modeling methods, the challenges related to the large scale production of new steel grades can also be addressed.

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5

Wei, James. "Design and integration of multi-scale structures." Chemical Engineering Science 59, no. 8-9 (April 2004): 1641–51. http://dx.doi.org/10.1016/j.ces.2004.01.045.

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6

Perera, M. S. M., S. Theodossiades, and H. Rahnejat. "A multi-physics multi-scale approach in engine design analysis." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 221, no. 3 (September 1, 2007): 335–48. http://dx.doi.org/10.1243/14644193jmbd78.

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Vibration behaviour of an internal combustion engine depends on rigid body inertial dynamics, structural modal characteristics of its elastic members, tribological behaviour of loadbearing contacts, and piston-cylinder interactions. Therefore, it is essential to use a multi-physics approach that addresses all these physical properties in a single integrative model as presented in this paper. This approach can be regarded as holistic and a good aid for detailed design. Particular attention is paid to the critical elements in the system, such as load-bearing conjunctions (crankshaft main bearings) and piston-cylinder wall interactions. Another important feature is the integrated analysis across the physics of motion from microscale fluid film formation to submillimetre structural deformations and onto large displacements of inertial members. In order to succeed in predictions within sensible industrial time scales, analytical methods have been used as far as possible rather than numerical approaches. Model predictions show good agreement with fired engine test data.

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Nandong, Jobrun, and Zhuquan Zang. "Multi-loop design of multi-scale controllers for multivariable processes." Journal of Process Control 24, no. 5 (May 2014): 600–612. http://dx.doi.org/10.1016/j.jprocont.2014.03.001.

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8

SAKITA, Kazuhiro. "SIM-03 MULTI-SCALE SPATIAL MODEL FOR MULTI-SCALE PRODUCT DESIGN AND SIMULATION SYSTEM IMPLEMENTED WITH MESSAGE PASSING INTERFACE(Simulations of Micro/Nano Scale Phenomena I,Technical Program of Oral Presentations)." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2009 (2009): 261–62. http://dx.doi.org/10.1299/jsmemipe.2009.261.

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Liu, Xiaokang, Chenran Li, Lin Lu, Oliver Deussen, and Changhe Tu. "Fabricable Multi‐Scale Wang Tiles." Computer Graphics Forum 41, no. 5 (August 2022): 149–59. http://dx.doi.org/10.1111/cgf.14610.

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10

Gröbe, Mathias, and Dirk Burghardt. "Developing and Evaluating Multi-Scale Map Styles: Creating a Multi-Scale Legend." Abstracts of the ICA 1 (July 13, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-100-2019.

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<p><strong>Abstract.</strong> In recent years, the usage of zoomable maps strongly increased. The development of small and cheap electronic devices with wireless internet connection such as smartphones and tablets has made maps nowadays to a crucial part of everyday life. For the navigation and orientation, the user often uses zoomable maps (Muehlenhaus, 2014). Currently the technological development controls the map design and less cartographic design rules, which leads to the impress those current maps have a lower graphic quality. A sample for this trend is the new vector tile based maps, which offer the advantage of rotatable, multilingual maps build on one database (Martinelli and Roth, 2016).</p><p> There is a need for the development of cartographic design guidelines to guarantee consistent map readability over all zoom levels. The infinitely zoomable maps especially vector maps intensify this development. Analog maps had one specific scale, while a series of topographic maps were offered in manageable number of scales in comparison to OpenStreetMaps 20 zoom levels for raster tiles (Anon, 2019). Raster web maps had a number of predefined zoom levels, while vector maps offer the possibility of continuous zooming. This fact clarifies the requirement of research and development of rules for such types of maps.</p><p> A first important task for the fulfilment of this objective is the evaluation of a multi-scale map styles. For this task, we developed the concept of a multi-scale legend. This new tool should help cartographers and designer to create, modify and improve multi-scale map styles. It can help to explore existing map styles, identify inconsistencies and support the design process. We decided to use the legend due to the abstraction of the map style from map content. For visualization of the scale-dependencies for each feature in a row, the scale/zoom level changes in each column. In combination with other map features and zoom levels results a two-dimensional matrix showing the scale-dependent visualization. This legend matrix shows the map features in every zoom level, which allows reaching an overview of the symbolization of features over several scales. In this way, it is possible to check how consistent a map style is in one zoom level as well as over a set of zoom levels.</p><p> Figure 1 shows an example for a legend matrix using the OpenStreetMap Carto style: the representation of selected water bodies depending on the scale is illustrated. Streams and springs always occur together within the same zoom levels. In contrast to the rivers, the width of the streams remains nearly constant across the different scales. It is also visible that the color for the spring differs from the other water features. A multi-scale legend offers the possibility of grouping feature classes by topics (e.g. water bodies, vegetation and road network) as in the example. Other possibilities are geometry, color or occurrence in similar zoom levels. This can help in the search for errors, in the identification of breaks in the symbolization and in the development of continuous symbolization. The result is similar but more illustrative than the ScaleMaster (Brewer and Buttenfield, 2007, 2010), which is a diagram describing how feature classes are visualized depending from scale. Benefits of this legend are clarification of scale depended visualizations and the graphic implementation of design guidelines. A challenge is the implementation for different map styles due to the associated effort and the resulting sometimes very large overviews.</p><p> An on-going technological development takes place, wherefore cartographers should upgrade the design guidelines and methods for the production of current technological, well-looking maps. With the multi-scale legend, we provided a smart legend for a zoomable map. Nevertheless, these new ideas we have developed need more research and should always take the map purpose in account. Further, we would like to apply the multi-scale legend on existing map styles to reach more information about how these styles are working. In addition, we will further develop the multi-scale legend to a documentation of the creation of the map, showing how data is generalized and visualized.</p>

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11

Satyanarayana, K. C., J. Abildskov, R. Gani, G. Tsolou, and V. G. Mavrantzas. "Computer aided polymer design using multi-scale modelling." Brazilian Journal of Chemical Engineering 27, no. 3 (September 2010): 369–80. http://dx.doi.org/10.1590/s0104-66322010000300002.

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12

Wei, Yong Jun, Guo Jie Ji, Xiao Lin Zhao, Ying Dong Chen, and Peng Han. "Design on Geographical Multi-Scale 3D Symbol Library." Advanced Materials Research 468-471 (February 2012): 839–47. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.839.

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3D Geographic Information System (3D GIS); 3D symbol library; Modeling. Abstract. The 3D symbol is the basic approach to represent geographic themes in 3D GIS. In this paper, a multi-scale data model for 3D symbol library is designed to solve the problems in the organization, storage and display for multi-scale symbols. The particle system and animation technology are utilized in dynamic display of 3D symbols. A multi-scale and dynamic 3D symbol library system prototype is constructed and applied in many 3D visualization systems. The results show that the 3D symbol library based on multi-scale and dynamic technology presents high performance.

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13

Qiao, Lian Sheng, Yi-Lian Cai, Yu-Su He, Lu-Di Jiang, Xiao-Qian Huo, and Yan-Ling Zhang. "Trend of Multi-Scale QSAR in Drug Design." Asian Journal of Chemistry 26, no. 18 (2014): 5917–22. http://dx.doi.org/10.14233/ajchem.2014.18490.

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14

XU, Jingxiang, Yuji HIGUCHI, Nobuki OZAWA, and Momoji KUBO. "Fuel Cell Design by Multi-Scale Simulation Method." Journal of the Society of Mechanical Engineers 119, no. 1176 (2016): 608–11. http://dx.doi.org/10.1299/jsmemag.119.1176_608.

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15

SAKITA, Kazuhiro. "Multi-scale Product Design and Lifecycle Simulation System." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2017.9 (2017): 018. http://dx.doi.org/10.1299/jsmelem.2017.9.018.

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16

Wang, Yan, and Imre Horváth. "Computer-aided multi-scale materials and product design." Computer-Aided Design 45, no. 1 (January 2013): 1–3. http://dx.doi.org/10.1016/j.cad.2012.07.013.

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17

Hong, Richang, Zhenzhen Hu, Ruxin Wang, Meng Wang, and Dacheng Tao. "Multi-View Object Retrieval via Multi-Scale Topic Models." IEEE Transactions on Image Processing 25, no. 12 (December 2016): 5814–27. http://dx.doi.org/10.1109/tip.2016.2614132.

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18

Sakita, Kazuhiro. "Multi-Scale Product Design and Lifecycle Simulation System for Nano Product Design." Key Engineering Materials 523-524 (November 2012): 581–86. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.581.

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Product designer is demanded to harmonize technical, economic, social, and environmental aspects of designing product. It is important for product designer to get the overview and the forecast of the property and the influence of the designing product by computer simulations. In order to support product designer and material designer, multi-scale product design and lifecycle simulation system is proposed. The multi-scale product design and lifecycle simulation system consists of multi-scale product design and simulation (MPDS) sub-system and product lifecycle simulation (PLS) sub-system. Concept of MPDS sub-system is an expansion of concept of current CAD/CAE system. Multi-scale products from micro/nano scale level to human scale level are designed continuously in the MPDS sub-system. Concept of PLS sub-system is an expansion of concept of current LCA system. PLS sub-system carries out product lifecycle simulation and evaluation of designing product. PLS sub-system is designed from the point of view of the interactions of subjects. The information of designing product is projected into PLS sub-system as a structured token including product information made by MPDS sub-system. Then, PLS sub-system carries out product lifecycle simulation.

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19

Cipriano, G., G. N. Phillips, and M. Gleicher. "Multi-Scale Surface Descriptors." IEEE Transactions on Visualization and Computer Graphics 15, no. 6 (November 2009): 1201–8. http://dx.doi.org/10.1109/tvcg.2009.168.

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20

Chopard, B., Joris Borgdorff, and A. G. Hoekstra. "A framework for multi-scale modelling." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2021 (August 6, 2014): 20130378. http://dx.doi.org/10.1098/rsta.2013.0378.

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We review a methodology to design, implement and execute multi-scale and multi-science numerical simulations. We identify important ingredients of multi-scale modelling and give a precise definition of them. Our framework assumes that a multi-scale model can be formulated in terms of a collection of coupled single-scale submodels. With concepts such as the scale separation map, the generic submodel execution loop (SEL) and the coupling templates, one can define a multi-scale modelling language which is a bridge between the application design and the computer implementation. Our approach has been successfully applied to an increasing number of applications from different fields of science and technology.

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21

Jiang, Shuqiang, Weiqing Min, Linhu Liu, and Zhengdong Luo. "Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition." IEEE Transactions on Image Processing 29 (2020): 265–76. http://dx.doi.org/10.1109/tip.2019.2929447.

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22

Seyedhosseini, M., and T. Tasdizen. "Multi-Class Multi-Scale Series Contextual Model for Image Segmentation." IEEE Transactions on Image Processing 22, no. 11 (November 2013): 4486–96. http://dx.doi.org/10.1109/tip.2013.2274388.

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23

Van, Phuong Ngoc Truc, and Vinh Minh Le. "Visualization design for choropleths in multi-scale statistical mapping." Science and Technology Development Journal 19, no. 2 (June 30, 2016): 51–58. http://dx.doi.org/10.32508/stdj.v19i2.666.

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Multi-scale maps are one of those which are produced and displayed on screens at different levels of scale. Therefore, multi-scale mapping needs new approachs and concepts. This article introduces principles of multi-scale choropleth maps. The principles are based on cartographic principles and the screen environment. The scale ranges are defined by readable smallest area units. There is a changeover to larger administrative units at a reduction of scale. Data classifications and color ramps (symbology) for different scale ranges satisfy traditional rules and be consistent throughout the ranges

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24

Park, Jaejong, Tareq Zobaer, and Alok Sutradhar. "A Two-Scale Multi-Resolution Topologically Optimized Multi-Material Design of 3D Printed Craniofacial Bone Implants." Micromachines 12, no. 2 (January 20, 2021): 101. http://dx.doi.org/10.3390/mi12020101.

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Bone replacement implants for craniofacial reconstruction require to provide an adequate structural foundation to withstand the physiological loading. With recent advances in 3D printing technology in place of bone grafts using autologous tissues, patient-specific additively manufactured implants are being established as suitable alternates. Since the stress distribution of these structures is complicated, efficient design techniques, such as topology optimization, can deliver optimized designs with enhanced functionality. In this work, a two-scale topology optimization approach is proposed that provides multi-material designs for both macrostructures and microstructures. In the first stage, a multi-resolution topology optimization approach is used to produce multi-material designs with maximum stiffness. Then, a microstructure with a desired property supplants the solid domain. This is beneficial for bone implant design since, in addition to imparting the desired functional property to the design, it also introduces porosity. To show the efficacy of the technique, four different large craniofacial defects due to maxillectomy are considered, and their respective implant designs with multi-materials are shown. These designs show good potential in developing patient-specific optimized designs suitable for additive manufacturing.

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25

SAKITA, Kazuhiro. "Design and Development of Multi-scale Product Design and Lifecycle Simulation System." Proceedings of Conference of Kyushu Branch 2011 (2011): 75–76. http://dx.doi.org/10.1299/jsmekyushu.2011.75.

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26

SAKITA, Kazuhiro. "Design and Development of Multi-scale Product Design and Lifecycle Simulation System." Proceedings of Conference of Kyushu Branch 2017.70 (2017): 910. http://dx.doi.org/10.1299/jsmekyushu.2017.70.910.

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27

Rain Chen. "Using Multi-Dimensional Scale to Display Design Patent Layout." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 11 (June 30, 2013): 283–92. http://dx.doi.org/10.4156/aiss.vol5.issue11.34.

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28

Liu, Yang, He Zhao, and Qiao Xin Zhang. "The Multi-Scale Modeling Technique for Modular Variant Design." Advanced Materials Research 538-541 (June 2012): 3110–14. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.3110.

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Facing the modularization of existing product variant design requirements, this paper presents a multi-scale modeling technology. Discuss the process of the change scope of the parts and modules according to the needs of the user, so divide the modular product model into process model, modules model and parts model. Use associated hypergraph describe the constraint relation between different stages of modular design process, the process model provides network basis for user needs mapping. Use the structured hypergraph to conduct formal description of parts and modules information and establish structured model; then fuse constraint information of the structure model based on the multi-scale data fusion technology, and provide constraint data source for changed coefficients of the components and modules. Finally, the case analysis shows the scientific and practical of the method.

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29

López-Ureña, S., J. R. Torres-Lapasió, R. Donat, and M. C. García-Alvarez-Coque. "Gradient design for liquid chromatography using multi-scale optimization." Journal of Chromatography A 1534 (January 2018): 32–42. http://dx.doi.org/10.1016/j.chroma.2017.12.040.

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30

Jones, C. B., D. B. Kidner, L. Q. Luo, G. Ll Bundy, and J. M. Ware. "Database design for a multi-scale spatial information system." International journal of geographical information systems 10, no. 8 (December 1996): 901–20. http://dx.doi.org/10.1080/02693799608902116.

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31

Guo, Xu, Xiaofang Zhao, Weisheng Zhang, Jun Yan, and Guomin Sun. "Multi-scale robust design and optimization considering load uncertainties." Computer Methods in Applied Mechanics and Engineering 283 (January 2015): 994–1009. http://dx.doi.org/10.1016/j.cma.2014.10.014.

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32

Naboni, Roberto, Luca Breseghello, and Anja Kunic. "Multi-scale design and fabrication of the Trabeculae Pavilion." Additive Manufacturing 27 (May 2019): 305–17. http://dx.doi.org/10.1016/j.addma.2019.03.005.

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33

Luo, Lingai, Yilin Fan, and Daniel Tondeur. "Heat exchanger: from micro- to multi-scale design optimization." International Journal of Energy Research 31, no. 13 (October 25, 2007): 1266–74. http://dx.doi.org/10.1002/er.1298.

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34

Li, Hui, Kede Ma, Hongwei Yong, and Lei Zhang. "Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion." IEEE Transactions on Image Processing 29 (2020): 5805–16. http://dx.doi.org/10.1109/tip.2020.2987133.

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35

Zhao, Xuanhe. "Multi-scale multi-mechanism design of tough hydrogels: building dissipation into stretchy networks." Soft Matter 10, no. 5 (2014): 672–87. http://dx.doi.org/10.1039/c3sm52272e.

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36

Christiansen, Rasmus E., Zin Lin, Charles Roques-Carmes, Yannick Salamin, Steven E. Kooi, John D. Joannopoulos, Marin Soljačić, and Steven G. Johnson. "Fullwave Maxwell inverse design of axisymmetric, tunable, and multi-scale multi-wavelength metalenses." Optics Express 28, no. 23 (October 26, 2020): 33854. http://dx.doi.org/10.1364/oe.403192.

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37

Xompero, Alessio, Oswald Lanz, and Andrea Cavallaro. "A Spatio-Temporal Multi-Scale Binary Descriptor." IEEE Transactions on Image Processing 29 (2020): 4362–75. http://dx.doi.org/10.1109/tip.2020.2965277.

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38

Ancuti, C. O., and C. Ancuti. "Single Image Dehazing by Multi-Scale Fusion." IEEE Transactions on Image Processing 22, no. 8 (August 2013): 3271–82. http://dx.doi.org/10.1109/tip.2013.2262284.

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39

Imielinska, Celina, Andrzej Przekwas, and XG Tan. "Multi-Scale Visual Analysis of Trauma Injury." Information Visualization 5, no. 4 (November 30, 2006): 279–89. http://dx.doi.org/10.1057/palgrave.ivs.9500137.

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We develop a multi-scale high-fidelity biomechanical and physiologically based modeling tools for trauma (ballistic/impact and blast) injury to brain, lung and spinal cord for resuscitation, treatment planning and design of personnel protection. Several approaches have been used to study blast and ballistic/impact injuries. Dummy containing pressure sensors and synthetic phantoms of human organs have been used to study bomb blast and car crashes. Large animals like pigs also have been equipped with pressure sensors exposed to blast waves. But these methods do not provide anatomically and physiologically, full optimization of body protection design and require animal sacrifice. Anatomy and medical image-based high-fidelity computational modeling can be used to analyze injury mechanisms and to optimize the design of body protection. This paper presents novel approach of coupled computational fluid dynamics and computational structures dynamics to simulate fluid (air, cerebrospinal fluid)–solid (cranium, brain tissue) interaction during ballistic/blast impact. We propose a trauma injury simulation pipeline concept staring from anatomy and medical image-based high-fidelity 3D geometric modeling, extraction of tissue morphology, generation of computational grids, multi-scale biomechanical and physiological simulations, and data visualization.

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40

SAKITA, Kazuhiro. "1012 Design and Development of Multi-scale Product Design and Lifecvcle Simulation System." Proceedings of Conference of Kyushu Branch 2013.66 (2013): 337–38. http://dx.doi.org/10.1299/jsmekyushu.2013.66.337.

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41

Issa, Homam, Egon Ostrosi, Michel Lenczner, and Rabie Habib. "Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations." Journal of Intelligent Manufacturing 28, no. 5 (July 1, 2015): 1219–47. http://dx.doi.org/10.1007/s10845-015-1119-4.

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42

Yuan, Shuai, Kang Wang, Yi Shan, and Jinfu Yang. "Multi-Scale Object Detection Method Based on Multi-Branch Parallel Dilated Convolution." Journal of Computer-Aided Design & Computer Graphics 33, no. 6 (June 1, 2021): 864–72. http://dx.doi.org/10.3724/sp.j.1089.2021.18537.

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43

Liu, Li, Xi Li, and Xuemei Lei. "A Person Re-Identification Method with Multi-Scale and Multi-Feature Fusion." Journal of Computer-Aided Design & Computer Graphics 34, no. 12 (December 1, 2022): 1868–76. http://dx.doi.org/10.3724/sp.j.1089.2022.19218.

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44

Sága, Milan, Peter Pecháč, and Lenka Jakubovičová. "Application of Multi-Criteria Optimization to Large-Scale Structures Design." Applied Mechanics and Materials 693 (December 2014): 171–76. http://dx.doi.org/10.4028/www.scientific.net/amm.693.171.

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The paper presents fundamental principles and application of the large-scale truss structure PKP25-20i optimal design based on a multi-criteria optimization algorithm. The multi-objective function contains conditions for deformation, stability and cumulative damage obtained by finite element analyses. The whole process was implemented and realized in special Matlab’s procedures and FEM software Cosmos/M.

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45

Cazzaro, Davide, Alessio Trivella, Francesco Corman, and David Pisinger. "Multi-scale optimization of the design of offshore wind farms." Applied Energy 314 (May 2022): 118830. http://dx.doi.org/10.1016/j.apenergy.2022.118830.

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46

SAKITA, Kazuhiro. "G011011 Material Engineering Simulation by Multi-scale Product Design System." Proceedings of Mechanical Engineering Congress, Japan 2013 (2013): _G011011–1—_G011011–4. http://dx.doi.org/10.1299/jsmemecj.2013._g011011-1.

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47

Barfuss, Daniel, Christian Garthaus, Maik Gude, and Raik Grützner. "Design of multi-scale-structured Al-CF/PA6 contour joints." International Journal of Automotive Composites 2, no. 3/4 (2016): 299. http://dx.doi.org/10.1504/ijautoc.2016.084329.

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Grützner, Raik, Daniel Barfuss, Maik Gude, and Christian Garthaus. "Design of multi-scale-structured Al-CF/PA6 contour joints." International Journal of Automotive Composites 2, no. 3/4 (2016): 299. http://dx.doi.org/10.1504/ijautoc.2016.10005317.

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49

SAKITA, Kazuhiro. "2G1 A Spatial Model for Multi-scale Product Design System." Proceedings of Conference of Kyushu Branch 2014 (2014): _2G1–1_—_2G1–2_. http://dx.doi.org/10.1299/jsmekyushu.2014._2g1-1_.

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50

Commenge, J. M., M. Saber, and L. Falk. "Methodology for multi-scale design of isothermal laminar flow networks." Chemical Engineering Journal 173, no. 2 (September 2011): 541–51. http://dx.doi.org/10.1016/j.cej.2011.07.060.

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