Design Strategy for Additive Manufacturing Ti-Al-Fe alloys with Calculation of Phase Diagram Method [0.03%]
基于计算相图方法的Ti-Al-Fe合金增材制造设计策略研究
Zhi Liang,Ursula Kattner,Carelyn Campbell
Zhi Liang
Calculation of Phase Diagram (CALPHAD) method was used to develop an additive manufacturing (AM) titanium alloy design strategy for new alloys in the Ti-Al-Fe system. This design strategy includes five key criteria addressing AM-processing ...
MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single‑ and Dual‑Phase Materials [0.03%]
用于单相和双相材料中子衍射织构研究的MAUD Rietveld精修软件
Alec I Saville,Adam Creuziger,Emily B Mitchell et al.
Alec I Saville et al.
This work presents a detailed instructional demonstration using the Rietveld refinement software MAUD for evaluating the crystallographic texture of single- and dual-phase materials, as applied to High-Pressure-Preferred-Orientation (HIPPO)...
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure through Advanced Homogenization [0.03%]
基于组织结构的激光增材制造IN625合金宏观力学性能的同质化预测研究
Sourav Saha,Orion L Kafka,Ye Lu et al.
Sourav Saha et al.
Design of additively manufactured metallic parts requires computational models that can predict the mechanical response of parts considering the microstructural, manufacturing, and operating conditions. This article documents our response t...
Bi-directional Scan Pattern Effects on Residual Stresses and Distortion in As-built Nitinol Parts: A Trend Analysis Simulation Study [0.03%]
双向扫描模式对镍钛成型零件残余应力和变形的影响：趋势分析模拟研究
Medad C C Monu,Yalda Afkham,Josiah C Chekotu et al.
Medad C C Monu et al.
In this paper, a part-scale simulation study on the effects of bi-directional scanning patterns (BDSP) on residual stress and distortion formation in additively manufactured Nitinol (NiTi) parts is presented. The additive manufacturing tech...
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification [0.03%]
通过高级材料模型参数识别预测增材制造IN625的微尺度结构到性能预测
Sourav Saha,Orion L Kafka,Ye Lu et al.
Sourav Saha et al.
Challenge 4 of the Air Force Research Laboratory additive manufacturing modeling challenge series asks the participants to predict the grain-average elastic strain tensors of a few specific challenge grains during tensile loading, based on ...
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design [0.03%]
生成对抗网络和混合密度网络为基础的微结构材料设计逆建模方法
Yuwei Mao,Zijiang Yang,Dipendra Jha et al.
Yuwei Mao et al.
There are two broad modeling paradigms in scientific applications: forward and inverse. While forward modeling estimates the observations based on known causes, inverse modeling attempts to infer the causes given the observations. Inverse p...
Measurements of melt pool geometry and cooling rates of individual laser traces on IN625 bare plates [0.03%]
关于激光在IN625板材上单条熔池几何参数及冷却速率的测量
Brandon Lane,Jarred Heigel,Richard Ricker et al.
Brandon Lane et al.
The complex physical nature of the laser powder bed fusion (LPBF) process warrants use of multiphysics computational simulations to predict or design optimal operating parameters or resultant part qualities such as microstructure or defect ...
Topographic Measurement of Individual Laser Tracks in Alloy 625 Bare Plates [0.03%]
合金625裸板中单个激光轨迹的地形测量
R E Ricker,J C Heigel,B M Lane et al.
R E Ricker et al.
Additive manufacturing (AM) combines all of the complexities of materials processing and manufacturing into a single process. The digital revolution made this combination possible, but the commercial viability of these technologies for crit...
Phase Fraction and Evolution of Additively Manufactured (AM) 15-5 Stainless Steel and Inconel 625 AM-Bench Artifacts [0.03%]
基于增材制造的15-5不锈钢和Inconel 625合金试样的相组成与组织演化研究
Fan Zhang,Lyle E Levine,Andrew J Allen et al.
Fan Zhang et al.
A proper understanding of the structure and microstructure of additively manufactured (AM) alloys is essential not only to the prediction and assessment of their material properties, but also to the validation and verification of computer m...
Shengyen Li,Ursula R Kattner,Carelyn E Campbell
Shengyen Li
A computational framework is proposed that enables the integration of experimental and computational data, a variety of user-selected models, and a computer algorithm to direct a design optimization. To demonstrate this framework, a sample ...