A Multi-Scale Based Model for Composite Materials with Embedded PZT Filaments for Energy Harvesting

El-Etriby, Ahmed E.; Abdel-Meguid, Mohamed E.; Shalan, Khalid M.; Hatem, Tarek M.; Bahei–El–Din, Yehia A.

doi:10.1007/978-3-319-48766-3_39

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most important aspect in studying this manufacturing process is modelling the process itself. Materials Modelling is a great tool that improves our understanding about this process as the advancing materials modelling in piezo-electric smart materials [5][6] , and semiconductors [7][8] . Therefore, modelling the material by using the proposed multiscale materials modelling framework is crucial.…”

Section: Introductionmentioning

confidence: 99%

Multiscale experimental and modelling framework for metal additive manufacturing : Hip implant case study

Mohamed

Nabil

Alaa

et al. 2019

Eng. Sci. and Milit. Techno.

View full text Add to dashboard Cite

The current work targets improving metal-based Additive Manufacturing (AM) processes ; namely, Direct Metal Laser Sintering (DMLS). This research focuses on the manufacturing of steel alloys using the DMLS process, and high-strength 174-PH Stainless steel specifically. To achieve optimal material integrity and outstanding functionalities, different processing parameters impact on AM process are explored. Furthermore, development of a design framework based on general multi-scale models is suggested. The proposed framework includes: (1) Coupled thermal/microstructural prediction of DMLS process, (2) Establishing microstructure informed numerical models for properties and failure prediction for DMLS manufactured microstructures, (3) macroscale models with homogenized properties to be used for AM parts.

show abstract

Section: Introductionmentioning

confidence: 99%