Recent Progress in Implementation of ICME for Metallic Materials in the Airframe Industry

Glamm, Ryan J.; Rosenbladt, Dana M.; Pripstein, Eric D.; Cotton, James D.

doi:10.2514/6.2015-0199

Cited by 5 publications

(8 citation statements)

References 11 publications

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“…In ICME, there is a chain of models correlated with the part properties, part structure, and utilised process, while each model depends upon the results of others. Glamm et al, [60] have classified the modelling of aircraft in terms of part properties and the corresponding software, as seen in Figure 6.…”

Section: Review Of Modelling Studiesmentioning

confidence: 99%

“…However, they suffer numerical instability, uncertainty in modelling/inputs, and lack of understandable mechanisms to generally extend the obtained relations for modelling of new materials [69]. Microstructure simulation, when paired with database-driven thermodynamic tools, can more accurately predict diffusive time-scale microstructure evolution [60].…”

Section: Data-driven Modelsmentioning

confidence: 99%

Figure 6. Classification of property modelling already employed in the aircraft industry; da/dn: fatigue crack growth rate per cycle (adapted from Ref. [60]). …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: a review

Hashemi

Parvizi

Baghbanijavid

et al. 2021

International Materials Reviews

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In the current review, an exceptional view on the multi-scale integrated computational modelling and data-driven methods in the Additive manufacturing (AM) of metallic materials in the framework of integrated computational materials engineering (ICME) is discussed. In the first part of the review, process simulation (P-S linkage), structure modelling (S-P linkage), property simulation (S-P linkage), and integrated modelling (PSP and PSPP linkages) are elaborated considering different physical phenomena (multi-physics) in AM and at micro/meso/macro scales (multi-scale modelling). The second part provides an extensive discussion of a data-driven framework, which involves extracting existing data from databases and texts, data pre-processing, high throughput screening, and, therefore, database construction. A data-driven workflow that integrates statistical methods, including ML, artificial intelligence (AI), and neural network (NN) models, has great potential for completing PSPP linkages. This review paper provides an insight for both academic and industrial researchers, working on the AM of metallic materials.

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Section: Review Of Modelling Studiesmentioning

confidence: 99%

Section: Data-driven Modelsmentioning

confidence: 99%

Figure 6. Classification of property modelling already employed in the aircraft industry; da/dn: fatigue crack growth rate per cycle (adapted from Ref. [60]). …”

Section: Introductionmentioning

confidence: 99%

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Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: a review

Hashemi

Parvizi

Baghbanijavid

et al. 2021

International Materials Reviews

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“…For example, until recently there were still major scientific and technological challenges associated with establishing (computational/experimental) linkages across the process-structure-property/performance paradigm [1] that underpins much of the research activities of the materials science community. Despite the many remaining challenges, this barrier has reduced considerably over the last decade through research programs and initiatives such as ICME [10,11] and MGI [12][13][14]. The design research community also has made great strides in areas such as design representation, design informatics, and design automation.…”

Section: A Workhop On Interdisciplinary Frontiers Ofmentioning

confidence: 99%

Interdisciplinary Research on Designing Engineering Material Systems: Results From a National Science Foundation Workshop

Arróyave

Shields

Chang

et al. 2018

Journal of Mechanical Design

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We present the results from a workshop on interdisciplinary research on design of engineering material systems, sponsored by the National Science Foundation. The workshop was prompted by the need to foster a culture of interdisciplinary collaboration between the engineering design and materials communities. The workshop addressed the following: (i) conceptual barriers between materials and engineering design research communities; (ii) research questions that the interdisciplinary field of materials design should focus on; (iii) processes and metrics to be used to validate research activities and outcomes on materials design; and (iv) strategies to sustain and grow the interdisciplinary field. This contribution presents a summary of the state of the field-elicited through extensive guided discussions between representatives of both communities-and a snapshot of research activities that have emerged since the workshop. Based on the increasing level of sophistication of interdisciplinary research programs on design of materials it is apparent that the field is growing and has great potential to play a key role in a vibrant interdisciplinary materials innovation ecosystem. Sustaining such efforts will contribute significantly to the advancement of technologies that will impact many industries and will enhance society-wide health, security, and economic well-being.

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“…9 and 10. Moreover, this method has been successfully used in airframe [11][12][13] and turbine design. 14,15 A summary showing the maturity level of the ICME methodology in aeronautics can be found in Ref.…”

Section: Introductionmentioning

confidence: 99%

Integrated Computational Materials Engineering in Solar Plants: The Virtual Materials Design Project

Montero‐Chacón

Chiumenti

Segurado

et al. 2018

JOM

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The high temperatures required for efficient operation of solar thermal power plants constitutes one of the major challenges of this technology. Gaining insight into materials behavior at very high temperatures is critical to improve their techno-economic feasibility. Standard material characterization approaches become inefficient, as extensive testing campaigns are required. We propose a multiscale-multiphysical approach that accounts for materials composition to (1) predict the behavior of both Inconel 625 and new solar salts, and (2) assess the thermomechanical performance of key components. We carried out a complete thermoelastic multiscale analysis that spans six time and length scales in a single simulation platform, combining discrete and continuum tools (from quantum to continuum mechanics). These applications show the substantial economic benefits that may be achieved by an ICME approach in the energy sector, reducing the cost of prototypes while decreasing development times and maintenance costs due to a better understanding of materials behavior. *The title of this section is inspired by Horstemeyer's book, 8 Chapter 7: ''Case study: from atoms to autos: a redesign of a Cadillac control arm''.

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Recent Progress in Implementation of ICME for Metallic Materials in the Airframe Industry

Cited by 5 publications

References 11 publications

Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: a review

Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: a review

Interdisciplinary Research on Designing Engineering Material Systems: Results From a National Science Foundation Workshop

Integrated Computational Materials Engineering in Solar Plants: The Virtual Materials Design Project

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