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Automation is generally perceived as the application of physical robots to replace the human workforce to complete a specific task. However, automation can also appear in the design process where it replaces the repetitive computations and lookups by a human. In the latter case, automation reduces the risk of human error and highly increases the transparency and efficiency of the design process. The present work is focused on the automation of the manufacturing process of metallic powders. The goal is to utilize the historical data of the company to develop a customized predictive model that provides manufacturing recipes for future products.
Daan Maijer
Mohammad Mohseni
Pacific Particulate Materials
Engineering
Manufacturing
University of British Columbia
Accelerate
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