Manufacturability analysis for additive manufacturing using a novel feature recognition technique

Yang ShiUniversity of South Carolina, USACorrespondence[email protected]

http://orcid.org/0000-0002-9579-9403

Yicha ZhangLS2N, Ecole Centrale de Nantes, FranceCorrespondence[email protected]

http://orcid.org/0000-0002-5219-1748

Steven BaekUniversity of Iowa, USACorrespondence[email protected]

http://orcid.org/0000-0002-4758-4539

Wout De BackerUniversity of South Carolina, USACorrespondence[email protected]

http://orcid.org/0000-0002-8484-9639

Ramy HarikUniversity of South Carolina, USACorrespondence[email protected]

http://orcid.org/0000-0003-1452-9653

Citations (5)

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (5)

V Naga Malleswari & P Gourav Pragvamsa. (2023) Automatic machining feature recognition from STEP files. International Journal of Computer Integrated Manufacturing 36:6, pages 863-880.
Read now

Alessia Teresa Silvestri, Paolo Bosetti & Antonino Squillace. (2023) Laser-Directed Energy Deposition of H13: processing window and improved characterization procedures. Materials and Manufacturing Processes 0:0, pages 1-15.
Read now

Liping Ding, Shujie Tan, Wenliang Chen, Yaming Jin, Yuchun Sun & Yicha Zhang. (2022) Development of a manufacturability predictor for periodic cellular structures in a selective laser melting process via experiment and ANN modelling. Virtual and Physical Prototyping 17:4, pages 948-965.
Read now

Weijun Wang, Feng Tang, Chen Zheng, Tian Xie, Chaoyang Ma & Yicha Zhang. (2022) Prototyping a novel compact 3-DOF hydraulic robotic actuator via metallic additive manufacturing. Virtual and Physical Prototyping 17:3, pages 617-630.
Read now

Alessia Teresa Silvestri, Ilaria Papa, Felice Rubino & Antonino Squillace. (2022) On the critical technological issues of CFF: enhancing the bearing strength. Materials and Manufacturing Processes 37:2, pages 123-135.
Read now

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Manufacturability analysis for additive manufacturing using a novel feature recognition technique

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Manufacturability analysis for additive manufacturing using a novel feature recognition technique

Citations (5)

Read on this site (5)

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date