scholarly journals Selection of Optimal Process Parameters for Wire Arc Additive Manufacturing

Procedia CIRP ◽  
2017 ◽  
Vol 62 ◽  
pp. 470-474 ◽  
Author(s):  
Mariacira Liberini ◽  
Antonello Astarita ◽  
Gianni Campatelli ◽  
Antonio Scippa ◽  
Filippo Montevecchi ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Process Parameters ◽  
Optimal Process ◽  
Wire Arc Additive Manufacturing ◽  
Selection Of

Selection of selective laser sintering materials for different applications

2015 ◽  
Vol 21 (6) ◽  
pp. 630-648 ◽  
Author(s):  
Sunil Kumar Tiwari ◽  
Sarang Pande ◽  
Sanat Agrawal ◽  
Santosh M. Bobade
Keyword(s):  
Process Parameters ◽  
High Performance ◽  
Material Selection ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Optimal Process ◽  
Content Type ◽  
Volume Production ◽  
High Performance Application ◽  
Selection Of

Purpose – The purpose of this paper is to propose and evaluate the selection of materials for the selective laser sintering (SLS) process, which is used for low-volume production in the engineering (e.g. light weight machines, architectural modelling, high performance application, manufacturing of fuel cell, etc.), medical and many others (e.g. art and hobbies, etc.) with a keen focus on meeting customer requirements. Design/methodology/approach – The work starts with understanding the optimal process parameters, an appropriate consolidation mechanism to control microstructure, and selection of appropriate materials satisfying the property requirement for specific application area that leads to optimization of materials. Findings – Fabricating the parts using optimal process parameters, appropriate consolidation mechanism and selecting the appropriate material considering the property requirement of applications can improve part characteristics, increase acceptability, sustainability, life cycle and reliability of the SLS-fabricated parts. Originality/value – The newly proposed material selection system based on properties requirement of applications has been proven, especially in cases where non-experts or student need to select SLS process materials according to the property requirement of applications. The selection of materials based on property requirement of application may be used by practitioners from not only the engineering field, medical field and many others like art and hobbies but also academics who wish to select materials of SLS process for different applications.

scholarly journals Optimization of Cold Metal Transfer-Based Wire Arc Additive Manufacturing Processes Using Gaussian Process Regression

Metals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 461
Author(s):  
Seung Hwan Lee
Keyword(s):  
Additive Manufacturing ◽  
Gaussian Process ◽  
Process Parameters ◽  
Gaussian Process Regression ◽  
Effective Area ◽  
Raw Material ◽  
Cold Metal Transfer ◽  
High Productivity ◽  
Multiple Variables ◽  
Wire Arc Additive Manufacturing

Wire and arc additive manufacturing (WAAM) is among the most promising additive manufacturing techniques for metals because it yields high productivity at low raw material costs. However, additional post-processing is required to remove redundant surface material from components manufactured by the WAAM process, and thus the productivity decreases. To increase productivity, multi-variable process parameters need to be optimized, including thermo-mechanical effects caused by high deposition rates. When the process is modeled, deposit shape and productivity are challenging to quantify due to uncertainty in multiple variables of the complicated WAAM process. Therefore, we modeled the WAAM process parameters, including uncertainties, using a Gaussian process regression (GPR) method, thus allowing us to develop a WAAM optimization model to improve both productivity and the quality of the deposit shape. The accuracy of the optimized output was verified through a close agreement with experimental values. The optimized deposited material had a wide effective area ratio, small height differences, and near 90° deposition angle, highlighting the usefulness of the GPR model approach to deposit nearly ideal material shapes.

The selection of process parameters in additive manufacturing for aerospace alloys

2017 ◽  
Vol 92 (5-8) ◽  
pp. 2081-2098 ◽  
Author(s):  
Mostafa Yakout ◽  
Andrea Cadamuro ◽  
M. A. Elbestawi ◽  
Stephen C. Veldhuis
Keyword(s):  
Additive Manufacturing ◽  
Process Parameters ◽  
Aerospace Alloys ◽  
Selection Of
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