Powder spreading, densification, and part deformation in binder jetting additive manufacturing

2021 ◽  
Author(s):  
Yousub Lee ◽  
Peeyush Nandwana ◽  
Srdjan Simunovic
Keyword(s):  
Additive Manufacturing ◽  
Binder Jetting

scholarly journals Effect of Particle Size Distribution on Powder Packing and Sintering in Binder Jetting Additive Manufacturing of Metals

2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Yun Bai ◽  
Grady Wagner ◽  
Christopher B. Williams
Keyword(s):  
Particle Size ◽  
Additive Manufacturing ◽  
Large Degree ◽  
Full Density ◽  
Powder Particle Size ◽  
Powder Mixtures ◽  
Fine Powders ◽  
Sintering Shrinkage ◽  
The Impact ◽  
Binder Jetting

The binder jetting additive manufacturing (AM) process provides an economical and scalable means of fabricating complex parts from a wide variety of materials. While it is often used to fabricate metal parts, it is typically challenging to fabricate full density parts without large degree of sintering shrinkage. This can be attributed to the inherently low green density and the constraint on powder particle size imposed by challenges in recoating fine powders. To address this issue, the authors explored the use of bimodal powder mixtures in the context of binder jetting of copper. A variety of bimodal powder mixtures of various particle diameters and mixing ratios were printed and sintered to study the impact of bimodal mixtures on the parts' density and shrinkage. It was discovered that, compared to parts printed with monosized fine powders, the use of bimodal powder mixtures improves the powder's packing density (8.2%) and flowability (10.5%), and increases the sintered density (4.0%) while also reducing the sintering shrinkage (6.4%).

scholarly journals Tailoring green and sintered density of pure iron parts using binder jetting additive manufacturing

2018 ◽  
Vol 24 ◽  
pp. 508-520 ◽  
Author(s):  
Issa Rishmawi ◽  
Mehrnaz Salarian ◽  
Mihaela Vlasea
Keyword(s):  
Additive Manufacturing ◽  
Pure Iron ◽  
Sintered Density ◽  
Binder Jetting

scholarly journals Powder bed binder jetting additive manufacturing of silicone structures

2018 ◽  
Vol 21 ◽  
pp. 112-124 ◽  
Author(s):  
Farzad Liravi ◽  
Mihaela Vlasea
Keyword(s):  
Additive Manufacturing ◽  
Powder Bed ◽  
Binder Jetting

scholarly journals Binder jetting additive manufacturing with a particle-free metal ink as a binder precursor

2018 ◽  
Vol 147 ◽  
pp. 146-156 ◽  
Author(s):  
Yun Bai ◽  
Christopher B. Williams
Keyword(s):  
Additive Manufacturing ◽  
Binder Jetting ◽  
Free Metal

Learning Algorithm Based Modeling and Process Parameters Recommendation System for Binder Jetting Additive Manufacturing Process

2015 ◽  
Author(s):  
Han Chen ◽  
Yaoyao F. Zhao
Keyword(s):  
Additive Manufacturing ◽  
Product Quality ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Process Model ◽  
Recommendation System ◽  
Powder Materials ◽  
Quality Properties ◽  
Binder Jetting ◽  
Printing Time

Binder Jetting (BJ) process is an additive manufacturing process in which powder materials are selectively joined by binder materials. Products can be manufactured layer by layer directly from 3D model data. It is not always easy for manufacturing engineers to choose proper BJ process parameters to meet the end-product quality and fabrication time requirements. This is because the quality properties of the products fabricated by BJ process are significantly affected by the process parameters. And the relationships between process parameters and quality properties are very complicated. In this paper, a process model is developed by Backward Propagation (BP) Neural Network (NN) algorithm based on 16 groups of orthogonal experiment designed by Taguchi Method to express the relationships between 4 key process parameters and 2 key quality properties. Based on the modeling results, an intelligent parameters recommendation system is developed to predict end-product quality properties and printing time, and to recommend process parameters selection based on the process requirements. It can be used as a guideline for selecting the proper printing parameters in BJ to achieve the desired properties and help to reduce the printing time.

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