AI-assisted quantification of frosting and icing processes
Project Description
Frost formation is a natural phenomenon with complex dependencies on various environmental parameters. To study the impact of these variables on frost formation, we are looking for students who will record and analyze the frosting process under different experimental conditions.
Supervisor
YAO Shuhuai
Quota
2
Course type
UROP1000
UROP1100
Applicant's Roles
1. Conduct frosting experiments in environmental-controlled room.
2. Record temperature and humidity data from NI software during these experiments.
3. Measure the frost thickness and mass under different conditions.
4. Assist with surface characterization.
2. Record temperature and humidity data from NI software during these experiments.
3. Measure the frost thickness and mass under different conditions.
4. Assist with surface characterization.
Applicant's Learning Objectives
1.Hands-on experience with data acquisition systems and software.
2.Training in data processing and analysis.
2.Training in data processing and analysis.
Complexity of the project
Challenging