Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations
Апстракт
Numerical simulations of different ceramic production phases often involve complex constitutive models, with difficult calibration process, relying on a large number of experiments. Methodological developments, proposed in present paper regarding this calibration problem can be outlined as follows: assessment of constitutive parameters is performed through inverse analysis procedure, centered on minimization of discrepancy function which quantifies the difference between measurable quantities and their computed counterpart. Resulting minimization problem is solved through genetic algorithms, while the computational burden is made consistent with constraints of routine industrial applications by exploiting Reduced Order Model (ROM) based on proper orthogonal decomposition. Throughout minimization, a gradual enrichment of designed ROM is used, by including additional simulations. Such strategy turned out to be beneficial when applied to models with a large number of parameters. Developed... procedure seems to be effective when dealing with complex constitutive models, that can give rise to non-continuous discrepancy function due to the numerical instabilities. Proposed approach is tested and experimentally validated on the calibration of modified Drucker-Prager CAP model, frequently adopted for ceramic powder pressing simulations. Assessed values are compared with those obtained by traditional, time-consuming tests, performed on pressed green bodies.
Кључне речи:
Reduce order modeling / Powder pressing / Material calibration / Inverse analysisИзвор:
Science of Sintering, 2017, 49, 3, 331-345Издавач:
- Međunarodni Institut za nauku o sinterovanju, Beograd
Финансирање / пројекти:
DOI: 10.2298/SOS1703331P
ISSN: 0350-820X
WoS: 000412888800011
Scopus: 2-s2.0-85037836037
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Pandey, Shwetank AU - Buljak, Vladimir AU - Balać, Igor PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2523 AB - Numerical simulations of different ceramic production phases often involve complex constitutive models, with difficult calibration process, relying on a large number of experiments. Methodological developments, proposed in present paper regarding this calibration problem can be outlined as follows: assessment of constitutive parameters is performed through inverse analysis procedure, centered on minimization of discrepancy function which quantifies the difference between measurable quantities and their computed counterpart. Resulting minimization problem is solved through genetic algorithms, while the computational burden is made consistent with constraints of routine industrial applications by exploiting Reduced Order Model (ROM) based on proper orthogonal decomposition. Throughout minimization, a gradual enrichment of designed ROM is used, by including additional simulations. Such strategy turned out to be beneficial when applied to models with a large number of parameters. Developed procedure seems to be effective when dealing with complex constitutive models, that can give rise to non-continuous discrepancy function due to the numerical instabilities. Proposed approach is tested and experimentally validated on the calibration of modified Drucker-Prager CAP model, frequently adopted for ceramic powder pressing simulations. Assessed values are compared with those obtained by traditional, time-consuming tests, performed on pressed green bodies. PB - Međunarodni Institut za nauku o sinterovanju, Beograd T2 - Science of Sintering T1 - Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations EP - 345 IS - 3 SP - 331 VL - 49 DO - 10.2298/SOS1703331P ER -
@article{ author = "Pandey, Shwetank and Buljak, Vladimir and Balać, Igor", year = "2017", abstract = "Numerical simulations of different ceramic production phases often involve complex constitutive models, with difficult calibration process, relying on a large number of experiments. Methodological developments, proposed in present paper regarding this calibration problem can be outlined as follows: assessment of constitutive parameters is performed through inverse analysis procedure, centered on minimization of discrepancy function which quantifies the difference between measurable quantities and their computed counterpart. Resulting minimization problem is solved through genetic algorithms, while the computational burden is made consistent with constraints of routine industrial applications by exploiting Reduced Order Model (ROM) based on proper orthogonal decomposition. Throughout minimization, a gradual enrichment of designed ROM is used, by including additional simulations. Such strategy turned out to be beneficial when applied to models with a large number of parameters. Developed procedure seems to be effective when dealing with complex constitutive models, that can give rise to non-continuous discrepancy function due to the numerical instabilities. Proposed approach is tested and experimentally validated on the calibration of modified Drucker-Prager CAP model, frequently adopted for ceramic powder pressing simulations. Assessed values are compared with those obtained by traditional, time-consuming tests, performed on pressed green bodies.", publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd", journal = "Science of Sintering", title = "Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations", pages = "345-331", number = "3", volume = "49", doi = "10.2298/SOS1703331P" }
Pandey, S., Buljak, V.,& Balać, I.. (2017). Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations. in Science of Sintering Međunarodni Institut za nauku o sinterovanju, Beograd., 49(3), 331-345. https://doi.org/10.2298/SOS1703331P
Pandey S, Buljak V, Balać I. Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations. in Science of Sintering. 2017;49(3):331-345. doi:10.2298/SOS1703331P .
Pandey, Shwetank, Buljak, Vladimir, Balać, Igor, "Reduced Order Numerical Modeling for Calibration of Complex Constitutive Models in Powder Pressing Simulations" in Science of Sintering, 49, no. 3 (2017):331-345, https://doi.org/10.2298/SOS1703331P . .