Concurrent design of hierarchical materials and structures

McDowell, David L.; Olson, Gregory B.

doi:10.1007/978-1-4020-9741-6_14

Cited by 52 publications

(23 citation statements)

References 68 publications

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“…Also, insufficient knowledge can lead to uncertainty in the model structure, resulting in approximations and simplifications about the system. 49 This could result in the deviation of the properties of the final product from the targeted properties. These deviations from predicted properties can result in additional iterations to the optimization part of the design.…”

Section: Challenges To Designmentioning

confidence: 98%

Design considerations for developing biodegradable and bioabsorbable magnesium implants

Brar

Keselowsky

Sarntinoranont

et al. 2011

JOM

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How would you……describe the overall signifi cance of this paper? The development of biodegradable implant materials is a complex and interdisciplinary problem. This paper enumerates a design approach that utilizes experimental research coupled with modeling and simulation to reduce the cost and time associated with the development of new materials. …describe this work to a materials science and engineering professional with no experience in your technical specialty? There has been signifi cant interest in the development of biodegradable magnesium alloys for implant applications. This paper illustrates the design strategy which combines experimental research with computational thermodynamics and mechanistic modeling. It also explains in detail the important factors that need to be considered while designing for properties like strength, biocompatibility, and corrosion resistance. …describe this work to a layperson? Biodegradable implants are an important tool in repairing and healing damaged body parts. In the past few years, there has been signifi cant interest in developing magnesium alloys for biodegradable implant applications. This paper describes a systematic approach for designing new materials and illustrates the possible use of this approach in developing biodegradable and biocompatible magnesium alloys. The integration of biodegradable and bioabsorbable magnesium implants into the human body is a complex undertaking that faces major challenges. Candidate biomaterials must meet both engineering and physiological requirements to ensure the desired properties. Historically, efforts have been focused on the behavior of commercial magnesium alloys in biological environments and their resultant effect on cell-mediated processes. Developing causal relationships between alloy chemistry and microstructure, and effects as a cellular behavior can be a diffi cult and time-intensive process. A systems design approach has the power to provide signifi cant contributions in the development of the next generation of magnesium alloy implants with controlled degradability, biocompatibility, and optimized mechanical properties, at reduced time and cost. This approach couples experimental research with theory and mechanistic modeling for the accelerated development of materials. The aim of this article is to enumerate this strategy, design considerations, and hurdles for developing new cast magnesium alloys for use as biodegradable implant materials.

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Section: Challenges To Designmentioning

confidence: 98%

Design considerations for developing biodegradable and bioabsorbable magnesium implants

Brar

Keselowsky

Sarntinoranont

et al. 2011

JOM

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“…119 Notable achievements have already been demonstrated in the field of consumer electronics which would never have been possible under trial-anderror empirical materials development.…”

Section: Summary: Cybermaterials Innovation Based On Materials Genomementioning

confidence: 99%

Cybermaterials: materials by design and accelerated insertion of materials

Xiong

Olson

2016

npj Comput Mater

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Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure-property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. BACKGROUND: ICMD BLUEPRINTThe far-reaching multi-agency enterprise, Materials Genome Initiative (MGI), 1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to ⩽ 5 years. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3,4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. 5-10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11,12 and Reed. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper.In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process-structure-property-performance paradigm in materials science. 14 In Materials by Design, both process-structure and structure-property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on

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“…The National Research Council recognized three distinct purposes for experiments in ICME efforts: (i) classic validation showing whether the models are consistent with what can be measured; (ii) model input that can set, e.g., model scaling parameters or microstructure; and (iii) collection of large amounts of data that can be mined [205]. This section explores each of these in turn, but McDowell and Olson have noted that "a combination of expert estimation based on prior experience, experiments, and models and simulations at virtually every mapping" is used in practice [206]. In many cases, these three modes of using experimental data are used concurrently and it- Fig.…”

Section: Simulated Images As a Complement To Experimental Characterizmentioning

confidence: 99%

Review of the synergies between computational modeling and experimental characterization of materials across length scales

et al. 2015

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With the increasing interplay between experimental and computational approaches at multiple length scales, new research directions are emerging in materials science and computational mechanics. Such cooperative interactions find many applications in the development, characterization and design of complex material systems. This manuscript provides a broad and comprehensive overview of recent trends where predictive modeling capabilities are developed in conjunction with experiments and advanced characterization to gain a greater insight into structure-properties relationships and study various physical phenomena and mechanisms. The focus of this review is on the intersections of multiscale materials experiments and modeling relevant to the materials mechanics community. After a general discussion on the perspective from various communities, the article focuses on the latest experimental and theoretical opportunities. Emphasis is given to the role of experiments in multiscale models, including insights into how computations can be used as discovery tools for materials engineering, rather than to "simply" support experimental work. This is illustrated by examples from several application areas on structural materials. This manuscript ends with a discussion on some problems and open scientific questions that are being

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Concurrent design of hierarchical materials and structures

Cited by 52 publications

References 68 publications

Design considerations for developing biodegradable and bioabsorbable magnesium implants

Design considerations for developing biodegradable and bioabsorbable magnesium implants

Cybermaterials: materials by design and accelerated insertion of materials

Review of the synergies between computational modeling and experimental characterization of materials across length scales

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