Process parameters optimization for improving surface quality and manufacturing accuracy of binder jetting additive manufacturing process

By Han Chen, Yaoyao Fiona Zhao. 2016

150 citations recorded by the source corpus.

Subfields: Automotive Engineering, Biomedical Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/25dd2467a42b9f72f5bb1a8bb6834f852adbf644

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. N. Azurmendi
2. A. Lores
3. Z. Pei
4. Chao Ma
5. Ming Li
6. W. Du
7. Alaa H. Elwany
8. E. Zuza

In Biomedical Engineering

1. N. Azurmendi
2. A. Lores
3. E. Zuza
4. I. Agote

In Mechanical Engineering

1. N. Azurmendi
2. A. Lores
3. Z. Pei
4. Chao Ma
5. Ming Li
6. W. Du
7. Alaa H. Elwany
8. E. Zuza

Citations in the corpus

• A review on recent developments in binder jetting metal additive manufacturing: Materials and process characteristics (2019, methodology): “Moreover, and in line with the results obtained by Chen and Zhao [59,61], the BSL does not seem to have a signi fi cant e ff ect on the accuracy or shrinkage of the parts.”
• Metal Binder Jetting Additive Manufacturing: A Literature Review (2020, background): “Some process optimization efforts have been conducted experimentally in binder jetting regarding the powder spreading parameters such as layer thickness and spreading speed, leading to improved properties of the green part [72, 80, 81, 84, 94, 109, 164].”