A Web-based automated manufacturability analyzer and recommender for additive manufacturing (MAR-AM) via a hybrid Machine learning model
Ying Zhang, Yaoyao Fiona Zhao
Expert Systems with Applications
Manufacturability
MAR-AM
Manufacturability Analyzer and Recommender for Additive Manufacturing
Built by Ying Zhang
Overview
MAR-AM is a web-based automated ML-assisted manufacturability analyzer and recommender for AM. This tool can serve as a first-level evaluation of designs for novice AM users such as designers to determine whether their given design is printable through their selected printer. As an ongoing project developed at McGill’s Additive Design & Manufacturing Laboratory (ADML), it has been a valuable research tool. By giving full access to the source, we hope this tool can be useful to lower the threshold of AM processes and support wider applications of AM in the future.
The main functions of MAR-AM can be summarized as the following:
Features
03- 01
With the selected AM process, printer, process parameters, and material, the evaluation of manufacturability on the uploaded design will be provided before the real fabrication. It helps to avoid unnecessary printing failure and reduce the waste of cost.
- 02
Specific recommendations on how to avoid printing failure will be given for each case based on the evaluation. Users can use those recommendations as the starting point to print their samples.
- 03
Users are also welcomed to contribute to the development of MAR-AM by donating their printing data to the MAR-AM which can be used to update the manufacturability models.