ACDAM

Automated Candidate Detection for Additive Manufacturing

Built by Thomas Page

With the rapid advancement of AM technologies, identifying parts which are eligible for AM as well as gaining insight on what value it may add to a product needs to be modelled in an objective and transferrable way. This tool aims at determining the candidacy of a part or assembly for AM based on its economic feasibility and potential for AM-specific benefits (such as lightweight, freeform shapes, and customization). This tool is also featured by its employment of machine learning algorithms with carefully sampled historical data.

Some basic functionality included: