Development in Light Weight Alloys and Composites: Data Processing and Performance
Sponsored by: TMS Composite Materials Committee, TMS Materials Characterization Committee
Program Organizers: Ramasis Goswami, Naval Research Laboratory; Nikhil Gupta, New York University; Aashish Rohatgi, Pacific Northwest National Laboratory; Tanjore Jayaraman, United States Air Force Academy

Tuesday 8:00 AM
October 11, 2022
Room: 403
Location: David L. Lawrence Convention Center

Session Chair: Tanjore Jayaraman, University of Michigan-Dearborn


8:00 AM  Invited
Single and Double Core-Shell Nanocomposite Bulk Ceramics in the Y2O3-ZrO2-Al2O3 System: Kevin Anderson1; Benjamin Greenberg1; James Wollmershauser1; Boris Feigelson1; 1U.S. Naval Research Laboratory
    Composites embody the pursuit of synergy in materials, an effort to retain the desirable properties of constituents while compensating for their shortcomings. To this end, core-shell based structures represent highly uniform and intimate composites that can be tailored through core and shell customization. Additionally, nanoscale core-shell structured composites may exploit size-dependent phenomena such as the Hall-Petch effect for further property enhancements. In this work, single and double core-shell composites in the Y2O3-ZrO2-Al2O3 system were fabricated and characterized, and the effects of grain size and shell thickness on core/shell integrity and mechanical properties were investigated. Core-shell powders were produced through particle atomic layer deposition (pALD), then sintered via Environmentally Controlled – Pressure Assisted Sintering (EC-PAS). EC-PAS utilizes the creation and preservation of pristine nanoparticle surfaces throughout the sintering process, applied pressure (<2 GPa), and low temperature (< 0.5 Tm) to achieve densification with negligible grain growth.

8:30 AM  Invited
A Data-driven Search and Analysis for Selection of Ti-containing High Entropy Alloys for Aeroengine Applications: Tanjore Jayaraman1; Ramachandra Canumalla2; 1University of Michigan-Dearborn; 2Weldaloy Specialty Forgings
    Growing interests in Ti-containing high entropy alloys (HEAs), owing to their unique combination of ambient and elevated temperature mechanical properties and corrosion resistance for a wide range of potential applications, motivated us to analyze the available data in the literature for the Ti-containing HEAs to unearth the composition-processing-microstructure-property relationships for aeroengine applications. We applied fundamental and advanced statistical analysis—including principal component analysis (PCA) and hierarchical clustering (HC)—and multiple-attribute decision making (MADM) synergistically to hear the voice of the data. The ranks assigned by several MADMs, including ROVM (range of value method), MEW (multiplicative exponent weighing), and ARAS (additive ratio assessment), were consistent. FASA consolidated the MADM ranks of the alloys, and HC identified similar top-ranked alloys. The investigation reveals the potential of the HEAs to substitute parts in aeroengines. The analysis suggests potential replacement substitutes and provides possible directions for the design and improvement of titanium-containing HEAs.

9:00 AM  Invited
Novel Materials Discovery on Li-Based Compounds Using Machine Learning: Suchismita Goswami1; V. Stanev2; H. Liang2; I. Takeuchi2; 1MEST; 2University of Maryland
    Machine learning techniques are being used to discover novel materials, compounds and molecules. The mapping of atomistic materials into feature vectors is an important step prior to implementation of any machine learning algorithms, consisting of both the unsupervised tasks for underlying patterns and the supervised learning tasks for prediction. Here we implement Python based libraries to featurize crystallographic information files (CIFs) into numerical descriptors with JarvisCFID and Sine Matrix methods. The Sine Matrix descriptor mostly calculates Columb interactions between atoms in a periodic system with reduced computational cost. We then project the high dimensional featurized data into a two-dimensional space using the t-Stochastic Neighbor Embedding and the Uniform Manifold Approximation and Projection methods. Such projected data usually create maps of neighbors for visualization around a user defined compound for prediction novel compounds. Here we present neighborhood maps for identifying similar novel materials of Li-based compounds.

9:20 AM  
Selective Reinforcement of Structures Using Fiber Reinforced Aluminum: Brandon Coates1; 1Touchstone Research Laboratory
    There is an increasing need for developing new materials that can be processed using advanced, cost-effective manufacturing methods. New materials that optimize a range of properties at high temperatures, including mechanical strength, stiffness, and damage tolerance, will reduce parasitic mass and increase system performance. Touchstone has continued the development of a metal matrix composite (MMC) prepreg tape called MetPreg® that can be utilized in selective reinforcement capabilities in next generation applications. MetPreg offers strength levels 2.5 times greater than the world’s strongest aluminum alloy and demonstrated outperformance of other metals at elevated temperatures enabling multiple potential end-use applications. The Selective reinforcement concept consists of adding high-performance material to structures to achieve local stiffening and strengthening. Recently, research has been conducted to showcase how this material can be integrated into structures to provide buckling resistance and fatigue crack growth arresting capabilities while reducing weight of the overall system without penalizing performance.

9:40 AM  
Effect of Tin Addition on Mechanical and Corrosion Behavior of Mg-Zn-Si Alloy: Gaurav Gupta1; Saurav Ganguly2; Jayant Jain3; Sudhanshu Singh1; 1IIT Kanpur; 2CSIR-Institute of Minerals & Materials Technology (CSIR-IMMT); 3IIT Delhi
    Mg based alloys are increasingly being studied owing to its low density, recyclability and high strength to weight ratio making it as an excellent choice for aerospace, automotive, electronics and biomedical applications. The present study deals with the investigation of microstructural characterization, deformation and corrosion behaviour of gravity cast and wrought Mg-Zn-Si-xSn alloys (x=0, 1, 2 wt%). Previous studies have shown that casting Zn, Si & Sn with Mg forms biocompatible and biodegradable alloys. These alloys contain second phase particles, which are expected to affect the deformation and corrosion behaviour significantly, the extent of which will depend upon the individual characteristic and distribution of these particles in the alloy. In this work, we have studied the variation in the mechanical properties as an effect of Tin addition under as-cast and wrought conditions. Corrosion response of these alloys has been investigated to check for its biocompatibility and biodegradability.

10:00 AM Break

10:20 AM  
Laser Powder Bed Fusion of Highly-reinforced Aluminum Composite Powders Produced by Mechanical Alloying: Ethan Parsons1; 1MIT Lincoln Laboratory
    The mechanical and thermal properties of particle-reinforced metal matrix composites (MMCs) are attractive for high-performance defense and space applications, but fabrication of MMC components with conventional methods is difficult, costly, and typically limited to components with simple geometry. Additively manufacturing particulate MMCs with laser powder bed fusion (LPBF) would be an ideal method, but the laser consolidation of these materials has been largely unsuccessful in matching the properties of conventionally-produced MMCs. The challenges include spreading the heterogeneous powder, distributing small ceramic particles, and forming a strong bond between the metal and the ceramic. Here, by mechanically alloying AlSi10Mg powder and ceramic microparticles, we manufacture highly-reinforced aluminum composite powders with morphology tuned for AM process conditions. Using LPBF, we achieve dense consolidation of these powders at ceramic contents of over 30% and demonstrate tensile properties matching the properties of aluminum matrix composites made by conventional methods.