scholarly journals Four Questions in Cellular Material Design

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1060 ◽  
Author(s):  
Dhruv Bhate
Keyword(s):  
Paradigm Shift ◽  
State Of The Art ◽  
Material Design ◽  
Cellular Materials ◽  
Cellular Material ◽  
Optimal Parameters ◽  
Systematic Methodology ◽  
Design Software ◽  
Design Freedom ◽  
Key Questions

The design of cellular materials has recently undergone a paradigm shift, enabled by developments in Additive Manufacturing and design software. No longer do cellular materials have to be limited to traditional shapes such as honeycomb panels or stochastic foams. With this increase in design freedom comes a significant increase in optionality, which can be overwhelming to the designer. This paper aims to provide a framework for thinking about the four key questions in cellular material design: how to select a unit cell, how to vary cell size spatially, what the optimal parameters are, and finally, how best to integrate a cellular material within the structure at large. These questions are posed with the intent of stimulating further research that can address them individually, as well as integrate them in a systematic methodology for cellular material design. Different state-of-the-art solution approaches are also presented in order to provoke further investigation by the reader.

Concurrent Topology Optimization of Lightweight Cellular Materials and Structures

2017 ◽  
Vol 868 ◽  
pp. 291-296
Author(s):  
He Ting Qiao ◽  
Shi Jie Wang ◽  
Xiao Ren Lv
Keyword(s):  
Topology Optimization ◽  
Material Design ◽  
Cellular Materials ◽  
Cellular Material ◽  
Design Stage ◽  
Concurrent Design ◽  
Design Variables ◽  
Macro Scale ◽  
Optimum Topology ◽  
Two Stages

In this paper, a two-stage optimization algorithm is proposed to simultaneously achieve the optimum structure and microstructure of lightweight cellular materials. Microstructure is assumed being uniform in macro-scale to meet manufacturing requirements. Furthermore, to reduce the computation cost, the design process is divided into two stages, which are concurrent design and material design. In the first stage, macro density and modulus matrix of cellular material are used both as design variables. Then, the optimum topology of macro-structure and modulus matrix of cellular materials will be obtained under this configuration. In the second stage, topology optimization technology is used to achieve a micro-structure of cellular material which is corresponded with the optimum modulus matrix in the earlier concurrent design stage. Moreover, the effectiveness of the present design methodology and optimization scheme is then demonstrated through numerical example.

scholarly journals Cluster-Based Optimization of Cellular Materials and Structures for Crashworthiness

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Kai Liu ◽  
Duane Detwiler ◽  
Andres Tovar
Keyword(s):  
Global Optimization ◽  
Structural Optimization ◽  
Conceptual Design ◽  
Nonlinear Models ◽  
Material Design ◽  
Cellular Materials ◽  
Cellular Material ◽  
Nonlinear Material ◽  
Optimization Approach ◽  
Material Models

The objective of this work is to establish a cluster-based optimization method for the optimal design of cellular materials and structures for crashworthiness, which involves the use of nonlinear, dynamic finite element models. The proposed method uses a cluster-based structural optimization approach consisting of four steps: conceptual design generation, clustering, metamodel-based global optimization, and cellular material design. The conceptual design is generated using structural optimization methods. K-means clustering is applied to the conceptual design to reduce the dimensional of the design space as well as define the internal architectures of the multimaterial structure. With reduced dimension space, global optimization aims to improve the crashworthiness of the structure can be performed efficiently. The cellular material design incorporates two homogenization methods, namely, energy-based homogenization for linear and nonlinear elastic material models and mean-field homogenization for (fully) nonlinear material models. The proposed methodology is demonstrated using three designs for crashworthiness that include linear, geometrically nonlinear, and nonlinear models.

scholarly journals How ‘smart’ is smart dentistry?

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 183
Author(s):  
Peter Kokol ◽  
Helena Blažun Vošner ◽  
Jernej Završnik ◽  
Marko Turčin
Keyword(s):  
Paradigm Shift ◽  
State Of The Art ◽  
The State ◽  
Health Technologies ◽  
Bibliographical Database ◽  
Bibliometric Mapping

Background: Latest advances in information and health technologies enabled dentistry to follow the paradigm shift occurring in medicine – the transition to so called smart medicine. Consequently, the aim of this paper is to assess how ‘smart’ is smart dentistry as of the end of 2018. Methods: We analysed the state of the art in smart dentistry, performing bibliometric mapping on a corpus of smart dentistry papers found in the Scopus bibliographical database. Results: The search resulted in a corpus of 3451 papers, revealing that smart dentistry research is following the progress in smart medicine; however, there are some gaps in some specific areas like gamification and use of holistic smart dentistry systems. Conclusions: Smart dentistry is smart; however, it must become smarter.

scholarly journals AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins

2020 ◽  
Vol 49 (D1) ◽  
pp. D630-D638
Author(s):  
Jiawei Wang ◽  
Wei Dai ◽  
Jiahui Li ◽  
Qi Li ◽  
Ruopeng Xie ◽  
...  
Keyword(s):  
Paradigm Shift ◽  
Gene Editing ◽  
Phage Therapy ◽  
State Of The Art ◽  
Sequence Data ◽  
Diverse Range ◽  
Adaptive Immune ◽  
Depth Analysis ◽  
Domains Of Life ◽  
Adaptive Immune Systems

Abstract Anti-CRISPR (Acr) proteins naturally inhibit CRISPR-Cas adaptive immune systems across bacterial and archaeal domains of life. This emerging field has caused a paradigm shift in the way we think about the CRISPR-Cas system, and promises a number of useful applications from gene editing to phage therapy. As the number of verified and predicted Acrs rapidly expands, few online resources have been developed to deal with this wealth of information. To overcome this shortcoming, we developed AcrHub, an integrative database to provide an all-in-one solution for investigating, predicting and mapping Acr proteins. AcrHub catalogs 339 non-redundant experimentally validated Acrs and over 70 000 predicted Acrs extracted from genome sequence data from a diverse range of prokaryotic organisms and their viruses. It integrates state-of-the-art predictors to predict potential Acrs, and incorporates three analytical modules: similarity analysis, phylogenetic analysis and homology network analysis, to analyze their relationships with known Acrs. By interconnecting all modules as a platform, AcrHub presents enriched and in-depth analysis of known and potential Acrs and therefore provides new and exciting insights into the future of Acr discovery and validation. AcrHub is freely available at http://pacrispr.erc.monash.edu/AcrHub/.

Capability Deprivation

2017 ◽  
Author(s):  
Rod Hick ◽  
Tania Burchardt
Keyword(s):  
Capability Approach ◽  
State Of The Art ◽  
Amartya Sen ◽  
Current State ◽  
Capability Deprivation ◽  
Key Questions ◽  
The Capability Approach

This article examines capability deprivation as the basis for analyzing poverty. The capability approach, developed initially by Amartya Sen, questions the “informational space” on which considerations of poverty, inequality, justice, and so forth, should be based. According to the capability approach, the appropriate “space” for analyzing poverty is not what people have, nor how they feel, but what they can do and be. After providing an overview of the concepts that comprise the capability approach, this article discusses three key questions within the literature regarding the nature of the approach, namely: the question of functioning and/or capabilities, the question of a capability list, and the question of aggregation. It also describes some prominent empirical applications that have been inspired by the capability approach and concludes with an assessment of the current state-of-the-art literature on the capability approach.

Is laboratory medicine ready for the era of personalized medicine? A survey addressed to laboratory directors of hospitals/academic schools of medicine in Europe

2015 ◽  
Vol 53 (7) ◽  
Author(s):  
Francesca Malentacchi ◽  
Irene Mancini ◽  
Ivan Brandslund ◽  
Pieter Vermeersch ◽  
Matthias Schwab ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Paradigm Shift ◽  
State Of The Art ◽  
Clinical Chemistry ◽  
Data Interpretation ◽  
Laboratory Medicine ◽  
European Federation ◽  
New Methodologies ◽  
Health Model ◽  
Personalised Therapy

AbstractDevelopments in “-omics” are creating a paradigm shift in laboratory medicine leading to personalized medicine. This allows the increase in diagnostics and therapeutics focused on individuals rather than populations. In order to investigate whether laboratory medicine is ready to play a key role in the integration of personalized medicine in routine health care and set the state-of-the-art knowledge about personalized medicine and laboratory medicine in Europe, a questionnaire was constructed under the auspices of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and the European Society of Pharmacogenomics and Personalised Therapy (ESPT). The answers of the participating laboratory medicine professionals indicate that they are aware that personalized medicine can represent a new and promising health model, and that laboratory medicine should play a key role in supporting the implementation of personalized medicine in the clinical setting. Participants think that the current organization of laboratory medicine needs additional/relevant implementations such as (i) new technological facilities in -omics; (ii) additional training for the current personnel focused on the new methodologies; (iii) incorporation in the laboratory of new competencies in data interpretation and counseling; and (iv) cooperation and collaboration among professionals of different disciplines to integrate information according to a personalized medicine approach.

Micromechanical Modeling of Two-Dimensional Periodic Cellular Materials

2013 ◽  
Author(s):  
K. Alzebdeh ◽  
A. Al-Shabibi ◽  
T. Pervez
Keyword(s):  
Elastic Moduli ◽  
Cellular Materials ◽  
Unit Cell ◽  
Cellular Material ◽  
Micromechanical Modeling ◽  
Beam Model ◽  
Essential Boundary Condition ◽  
Representative Unit Cell ◽  
Structural Applications ◽  
Equivalent Continuum

The mechanical behavior of 2-D periodic cellular materials is investigated using a continuum-based modeling approach. Two micromechanical models are developed on the basis of representative unit cell concept in which skeleton of cellular material is modeled as elastic beams. The ANSYS finite element code is used to solve the beam model of skeleton. Elastic moduli of square and triangular networks comprising the microstructure of the cellular material are calculated based on an equivalent continuum model. This is achieved by equating the stored energy in skeleton of a unit cell to the strain energy of the equivalent continuum under a set of prescribed boundary conditions. A proper displacement-controlled (essential) boundary condition generates a uniform strain field in both models which corresponds to calculation of one elastic modulus at a time. Then, effective Young’s modulus and Poisson’s ratio of continuum are extracted from the calculated elastic moduli. The dependence of effective elastic constants on relative density and thickness to length ratio of the microstructure is investigated. Furthermore, the in-plane behavior of cellular solids in compression is explored with the help of current modeling. The proposed models may contribute to optimal designs of a new class of materials with tailored geometry and material properties which could be useful in a broad range of structural applications.

Topology Optimization for Cellular Material Design

2014 ◽  
Vol 1662 ◽  
Author(s):  
Reza Lotfi ◽  
Seunghyun Ha ◽  
Josephine V. Carstensen ◽  
James K. Guest
Keyword(s):  
Topology Optimization ◽  
Mathematical Programming ◽  
High Performance ◽  
Optimization Problem ◽  
Material Design ◽  
Cellular Materials ◽  
Computational Approach ◽  
Manufacturing Processes ◽  
Component Level ◽  
Level Scale

ABSTRACTTopology optimization is a systematic, computational approach to the design of structure, defined as the layout of materials (and pores) across a domain. Typically employed at the component-level scale, topology optimization is increasingly being used to design the architecture of high performance materials. The resulting design problem is posed as an optimization problem with governing unit cell and upscaling mechanics embedded in the formulation, and solved with formal mathematical programming. This paper will describe recent advances in topology optimization, including incorporation of manufacturing processes and objectives governed by nonlinear mechanics and multiple physics, and demonstrate their application to the design of cellular materials. Optimized material architectures are shown to (computationally) approach theoretical bounds when available, and can be used to generate estimations of bounds when such bounds are unknown.

scholarly journals Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

2016 ◽  
Author(s):  
Michael P. Pound ◽  
Alexandra J. Burgess ◽  
Michael H. Wilson ◽  
Jonathan A. Atkinson ◽  
Marcus Griffiths ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Analysis ◽  
Paradigm Shift ◽  
State Of The Art ◽  
Plant Phenotyping ◽  
Learning Approaches ◽  
Challenging Problem ◽  
Feature Identification ◽  
Art Performance

AbstractDeep learning is an emerging field that promises unparalleled results on many data analysis problems. We show the success offered by such techniques when applied to the challenging problem of image-based plant phenotyping, and demonstrate state-of-the-art results for root and shoot feature identification and localisation. We predict a paradigm shift in image-based phenotyping thanks to deep learning approaches.

scholarly journals Blast Alleviation of Sacrificial Cladding with Graded and Uniform Cellular Materials

Materials ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 5616
Author(s):  
Yuanyuan Ding ◽  
Yuxuan Zheng ◽  
Zhijun Zheng ◽  
Yonggang Wang ◽  
Siyuan He ◽  
...  
Keyword(s):  
Blast Loading ◽  
Critical Length ◽  
Cellular Materials ◽  
Good Choice ◽  
Cellular Material ◽  
Optimal Length ◽  
Blast Design ◽  
Blast Response ◽  
Shock Models ◽  
Shock Fronts

Graded cellular material is a superb sandwich candidate for blast alleviation, but it has a disadvantage for the anti-blast design of sacrificial cladding, i.e., the supporting stress for the graded cellular material cannot maintain a constant level. Thus, a density graded-uniform cellular sacrificial cladding was developed, and its anti-blast response was investigated theoretically and numerically. One-dimensional nonlinear plastic shock models were proposed to analyze wave propagation in density graded-uniform cellular claddings under blast loading. There are two shock fronts in a positively graded-uniform cladding; while there are three shock fronts in a negatively graded-uniform cladding. Response features of density graded-uniform claddings were analyzed, and then a comparison with the cladding based on the uniform cellular material was carried out. Results showed that the cladding with uniform cellular materials is a good choice for the optimal mass design, while the density graded-uniform cladding is more advantageous from the perspective of the critical length design indicator. A partition diagram for the optimal length of sacrificial claddings under a defined blast loading was proposed for engineering design. Finally, cell-based finite element models were applied to verify the anti-blast response results of density graded-uniform claddings.

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