ProgramMaster Logo
Conference Tools for Materials Science & Technology 2020
Register as a New User
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing: Alloy Design to Develop New Feedstock Materials
Presentation Title Application of Taguchi, Response Surface, and Artificial Neural Networks for Rapid Optimization of Direct Metal Laser Sintering Process
Author(s) Ebrahim Asadi, Behzad Fotovvati, Faridreza Attarzadeh
On-Site Speaker (Planned) Ebrahim Asadi
Abstract Scope Direct metal laser sintering (DMLS) is a widely used powder bed fusion additive manufacturing technology that offers extensive capabilities to fabricate complex metallic components. However, this process has several variables (processing parameters), altering which increases the complexity of the correlations between them and the desired properties (responses) in order to optimize the responses. In this study, the influence of the most influential DMLS processing parameters, e.g., laser power, scan speed, hatch spacing, on relative density, microhardness, and various line and surface roughness parameters are thoroughly investigated. The significance of processing parameters on each response are analyzed using the Taguchi method. A multi-objective response surface method (RSM) model is developed for the optimization of DMLS processing parameters considering all the responses. Furthermore, an artificial neural network model is designed and trained based on the samples used for the Taguchi method and validated based on the samples used for the RSM method.


3D Characterization of Cracks Formed in “Weldable” AA6061 and Implications for Alloy Design
Accidental Alloy Development: In-situ Evolution of AM Powder and Opportunities for New Material Synthesis Pathways
An Interdisciplinary Approach for Alloy Design for Additive Manufacturing
Application of Taguchi, Response Surface, and Artificial Neural Networks for Rapid Optimization of Direct Metal Laser Sintering Process
CALPHAD Informed Design of Rare-earth Containing Alloys for Additive Manufacturing
Characterization of Spatter with Organized Features in Laser Powder Bed Fusion
Development of Oxidation Resistant Multi-Principle Element Alloys Applied with Additive Manufacturing
High-Throughput Accelerated Alloy Development
Laser Additive Manufacturing of Nanocomposite Powders
Mechanical Alloying of Feedstock Powder for Additive Manufacturing by Selective Laser Melting: Aluminum Alloy Matrix Composites
Micro-crack Mitigation by Alloy Modification in the Additively Manufactured Ni-base Superalloy CM247LC
Microstructure and Property Variability in DED Inconel 718 as a Function of Build Rate
Opportunities to Improve the Mechanical Properties of Titanium Alloys Produced by Laser Powder Bed Fusion
Optimization of Nitrogen-Atomized 17-4 Stainless Steel Feedstock for AM Processing
Processing of Y2O3-modified Nickel Superalloy by Selective Laser Melting.
Residual Stress Mitigation of Additive Manufactured Stainless Steel 316L Components through the Directed Energy Deposition Inclusion of TiC Nanoparticles
Sensitivity Analysis and Composition Design for Metal Additive Manufacturing Using CALPHAD-based ICME Framework

Questions about ProgramMaster? Contact