A UT Arlington engineer has received a $142,223 National Science Foundation grant to develop a mathematical method of ensuring for consistency in various manufacturing processes that produce complex data.
Li Zeng, assistant professor of Industrial and Manufacturing Systems Engineering, will conduct research on improving processes in advanced manufacturing.
Li Zeng, an assistant professor of Industrial & Manufacturing Systems Engineering, said the key to her study is to collect such data, analyze it and report on whether irregularities exist in the process. The work focuses on "profile data," which is far more complex than typical data produced in a quality control process.
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