首页|Studies from University of Wisconsin Madison Update Current Data on Artificial Intelligence [In-mold Condition-centered and Explain- able Artificial Intelligence-based (Imc-xai) Process Optimization for Injection Molding]
Studies from University of Wisconsin Madison Update Current Data on Artificial Intelligence [In-mold Condition-centered and Explain- able Artificial Intelligence-based (Imc-xai) Process Optimization for Injection Molding]
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Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial Intelligence have been published. According to news reporting from Madison, Wisconsin, by NewsRx journalists, research stated, “This paper proposes a novel injection molding process optimization method based on the in-mold condition (IMC) and interpreted influence of in-mold condition features on part quality. In-mold condition is crucial for process optimization because it represents the actual process condition in the cavity where the polymer material is formed into the final part shape.” Funders for this research include University of Wisconsin-Madison Office of the Vice Chancellor for Research and Graduate Education (VCRGE), Wisconsin Alumni Research Foundation (WARF), AJOU- Frontier Scholarship Program - Ajou University, Consolidated Papers Foundation Chair Professorship by the Mead Witter Foundation.
MadisonWisconsinUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine LearningUniversity of Wisconsin Madison
NETL
NSTL
Elsevier
