From materials development to commercialization, the most time/cost-consuming step is the migration of a process from the lab-scale to the pilot plant or commercial scale. This symposium will address recent advances in understanding, describing, and predicting material behavior during manufacturing processes for scaling the development of newly developed materials in lab to industrial levels.
In general, multiple physical phenomena simultaneous take place during manufacturing, such as heat transfer, fluid flow, phase transformation, and elastic/plastic deformations. Hence, integration of material simulation models of multiple length scales is essential to capture the process-structures-properties relations of a material during manufacturing. This symposium will bring together detailed analysis, characterization as well as computational modeling of materials from atomistic to macroscopic length scales. This symposium will also cover process optimization techniques such as artificial intelligence (AI), response surface methodology (RSM), and design of experiments (DOE). This symposium is not restricted to a specific class of materials, or their applications. Highly qualified specialists related materials processing will gather to discuss and provide new information on technical progress in this symposium.
- Process simulations
- Numerical modeling
- Materials modeling
- Materials characterization
- Design of experiments
- Process-structure-property relationship
- Artificial intelligence
- Applications in structural, energy, and smart/IT systems
- TBD
Pil-Ryung Cha
Kookmin University, Seoul, Republic of Korea
Tel 82-2-910-4656, Fax 82-2-910-4320
cprdream@kookmin.ac.kr
| Computational Materials Sciences |
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| ISSN: 0927-0256 |
| SCI (I.F. 2.863) |