Frontiers in Metals and Alloys最新文献

Utilizing computational materials modeling and big data to develop printable high gamma prime superalloys for additive manufacturing 利用计算材料建模和大数据开发用于增材制造的可打印高伽玛素超级合金

Frontiers in Metals and Alloys Pub Date : 2024-07-19 DOI: 10.3389/ftmal.2024.1397636

Jonathon Bracci, Kevin Kaufmann, Jesse Schlatter, James Vecchio, Naixie Zhou, Sicong Jiang, Kenneth S. Vecchio, Justin Cheney

{"title":"Utilizing computational materials modeling and big data to develop printable high gamma prime superalloys for additive manufacturing","authors":"Jonathon Bracci, Kevin Kaufmann, Jesse Schlatter, James Vecchio, Naixie Zhou, Sicong Jiang, Kenneth S. Vecchio, Justin Cheney","doi":"10.3389/ftmal.2024.1397636","DOIUrl":"https://doi.org/10.3389/ftmal.2024.1397636","url":null,"abstract":"Metal-based additive manufacturing offers potential to disrupt the manufacturing process across multiple industries. However, the vast majority of modern alloys are incompatible with the complex thermal histories of additive manufacturing. For example, the high gamma prime forming nickel-based superalloys are of considerable commercial interest owing to their properties; however, their gamma prime content renders them non-weldable and prone to cracking during additive manufacturing. Computational materials modeling and big data analytics is becoming an increasingly valuable tool for developing new alloys for additive manufacturing. This work reports the use of such tools toward the design of a high gamma prime superalloy with reduced cracking susceptibility while maintaining similar hardness to CM247. Experimental fabrication and characterization of the candidate alloys is performed. Results show the candidate alloys have improved printability, up to 41x reduction in crack density (mm/mm2) compared with CM247, and good agreement with the modeled predictions.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"119 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative analysis of process-induced strain glass states in austenitic and martensitic NiTi shape memory alloy plates 奥氏体和马氏体NiTi形状记忆合金板工艺诱导应变玻璃态的比较分析

Frontiers in Metals and Alloys Pub Date : 2023-09-06 DOI: 10.3389/ftmal.2023.1238835

Neha S. John, Bailey Ashmore, Michael T Wall, Robert W. Wheeler, Marcus L. Young, Anit K. Giri

{"title":"Comparative analysis of process-induced strain glass states in austenitic and martensitic NiTi shape memory alloy plates","authors":"Neha S. John, Bailey Ashmore, Michael T Wall, Robert W. Wheeler, Marcus L. Young, Anit K. Giri","doi":"10.3389/ftmal.2023.1238835","DOIUrl":"https://doi.org/10.3389/ftmal.2023.1238835","url":null,"abstract":"Strain glass alloys (SGAs) are metallic alloys with glassy martensitic nanodomains within a crystalline material that occur from compositionally or processing-induced strain. SGAs originate from shape memory alloys (SMAs) and exhibit similar shape memory properties and high actuation densities. The transition from SMA to SGA is relatively unexplored, and although there are similarities to amorphous SMAs and cold-worked SMAs, SGAs should be distinguished as a separate grouping. The transition occurs by interrupting the long-range martensitic order, which in turn disrupts the martensitic transformation, resulting in short-range martensitic order. A glassy martensitic phase is produced that exhibits enhanced structural and load-bearing abilities, functional stresses, and recoverability. In this study, the transformation from SMA to SGA is explored in two common commercially available SMAs, Ni49.5Ti50.5 and Ni50.8Ti49.2 (at. %), to compare martensitic versus austenitic SGAs, respectively. SMA plates were cold worked in 5% increments until a strain glass transition occurred. Characterizations of the samples at various stages of cold work were examined via differential scanning calorimetry (DSC), Vickers hardness, transmission electron microscopy (TEM), and synchrotron radiation X-ray diffraction (SR-XRD). Some prominent characteristics between the two plates, such as enthalpy peaks, twin size reduction, and crystallographic structure, were examined and compared to improve the understanding of the SMA to SGA transition.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131639642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phase and thermodynamics-informed predictive model for laser beam additive manufacturing of a multi-principal element alloy 多主元素合金激光增材制造的相位和热力学预测模型

Frontiers in Metals and Alloys Pub Date : 2023-09-01 DOI: 10.3389/ftmal.2023.1252115

Chayan Das, Praveen Sreeramagiri, Ganesh Balasubramanian

引用次数: 0

Microstructural engineering through high enthalpy states: implications for far-from-equilibrium processing of structural alloys 通过高焓态的微结构工程:对非平衡结构合金加工的影响

Frontiers in Metals and Alloys Pub Date : 2023-06-09 DOI: 10.3389/ftmal.2023.1135481

R. Mishra, Sanya Gupta

{"title":"Microstructural engineering through high enthalpy states: implications for far-from-equilibrium processing of structural alloys","authors":"R. Mishra, Sanya Gupta","doi":"10.3389/ftmal.2023.1135481","DOIUrl":"https://doi.org/10.3389/ftmal.2023.1135481","url":null,"abstract":"Metallic materials derive their strength and ductility from their microstructural features. The general principle of alloying is not only to control the phases present in the alloys, but also how the alloying elements can help in microstructural control during the processing of materials. The overall thermodynamic framework of using free energy to explain the stability of an alloy has two significant terms, enthalpy, and entropy. Engineering alloys are processed by several far-from-equilibrium processes. During the processing, the materials are in metastable states. The metastability can also be purposely enhanced through alloy design. This paper provides a perspective on how “high enthalpy states” can be used to tailor the microstructure to overcome the conventional strength-ductility tradeoff. The emergence of new manufacturing processes also provides unique opportunities to design alloys to maximize the potential of such processes. A few illustrative examples are presented to tie the historical use of high enthalpy states and point to future opportunities. Co-development of advanced materials for disruptive new manufacturing processes can be enhanced through integrated computational materials engineering approaches.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A short review on the ultra-high temperature mechanical properties of refractory high entropy alloys 耐火高熵合金的超高温力学性能综述

Frontiers in Metals and Alloys Pub Date : 2023-03-17 DOI: 10.3389/ftmal.2023.1135826

K. Atli, I. Karaman

引用次数: 3

Elastic properties of the non-mixing copper donor assisted material in friction stir welding of aluminum alloys using nanoindentation 非混合铜供体辅助材料在铝合金纳米压痕搅拌摩擦焊接中的弹性性能

Frontiers in Metals and Alloys Pub Date : 2023-03-13 DOI: 10.3389/ftmal.2023.1129126

M. Ojha, A. Al-Allaq, Y. Mohammed, S. Bhukya, Z. Wu, A. Elmustafa

{"title":"Elastic properties of the non-mixing copper donor assisted material in friction stir welding of aluminum alloys using nanoindentation","authors":"M. Ojha, A. Al-Allaq, Y. Mohammed, S. Bhukya, Z. Wu, A. Elmustafa","doi":"10.3389/ftmal.2023.1129126","DOIUrl":"https://doi.org/10.3389/ftmal.2023.1129126","url":null,"abstract":"Friction stir welding of high-strength materials such as steels is the impeded by the lack of the vast heat input needed to start the process. Contact friction is considered the most dominant source of heat generation for FSW steels which tends to cause severe wear conditions of the tool hear. To relieve the extreme wear conditions that occur on the tool heads because of FSW steels, we introduce the non-mixing Cu donor stir material to friction stir welding of aluminum alloys. The elastic properties of the Cu donor assisted friction stir welded aluminum alloys are measured using nanoindentation. The hardness and elastic modulus were measured for two regions, the base metal (BM) and the stir zone (SZ). The measurements were conducted for 20% and 60% Cu non-heat treated (NHT) and heat-treated (HT) samples. The nanomechanical properties were measured using nanoindentation with the continuous stiffness method (CSM) in depth control. The HT samples are softer than the NHT samples as expected. However, the 20% Cu NHT and HT samples depicted the same hardness at the SZ. Similar results were observed for the 60% Cu donor stir samples. It therefore concluded that the SZ is softer than the BM for the 20% and 60% Cu donor stir material as expected. The hardness of the weld at the SZ is similar to the hardness of the Al6061-T6 plate, suggesting that the Cu donor stir material did not impact the hardness properties of the Al6061-T6 plate due to the depletion of the Cu donor stir material during the welding process, an important result of the concept of the donor material. The elastic moduli of the Cu donor stir welded samples vary between 75 ∼ 85 G P a at a depth of indentation of ∼ 4600 n m , which are different from the elastic moduli of Cu 110 ( 117.2 G P a ) and similar to the elastic modulus of aluminum alloys ( 68.9 G P a ), an important outcome.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116752126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Formation of picosecond laser-induced periodic surface structures on steel for knee arthroplasty prosthetics 皮秒激光诱导膝关节假体钢表面周期性结构的形成

Frontiers in Metals and Alloys Pub Date : 2023-01-05 DOI: 10.3389/ftmal.2022.1090104

Zikrulloh Khuzhakulov, Salizhan Kylychbekov, Yaran Allamyradov, Inomjon Majidov, Justice ben Yosef, Alper Yusuf Er, Chazz Kitchens, S. Banga, Sameer Badarudeen, A. Er

引用次数: 2

Residual stress and microstructure in IN718-René41 graded superalloy fabricated by laser blown directed energy deposition 激光吹射定向能沉积制备in718 - ren<s:1> 41梯度高温合金的残余应力和显微组织

Frontiers in Metals and Alloys Pub Date : 2022-12-23 DOI: 10.3389/ftmal.2022.1070562

S. Huang, Chen Shen, K. An, Yuxuan Zhang, Ian M. Spinelli, M. Brennan, Dunji Yu

{"title":"Residual stress and microstructure in IN718-René41 graded superalloy fabricated by laser blown directed energy deposition","authors":"S. Huang, Chen Shen, K. An, Yuxuan Zhang, Ian M. Spinelli, M. Brennan, Dunji Yu","doi":"10.3389/ftmal.2022.1070562","DOIUrl":"https://doi.org/10.3389/ftmal.2022.1070562","url":null,"abstract":"Additively printed Ni-based superalloy with a compositionally graded transition from IN718 to René41 was fabricated by laser blown-powder directed energy deposition (DED/LB-M), with the goals of meeting location-specific temperature capability and reducing component cost for hot gas path turbine components. Residual stress distribution in thin wall specimens with three sets of DED build parameters in the as-built and stress-relieved states was measured by neutron diffraction. For calculating residual stress, the calculated d0 method was found to be more appropriate as stress-free reference than using the lattice spacing measured from the stress-relief heat treated specimens. Longer dwell time (lower interpass temperature), higher energy input, smaller layer thickness resulted in a higher magnitude of tensile residual stresses at edges and compressive residual stresses at center of the specimens. The residual stress results did not show a strong dependence on graded compositions, indicating that the residual stress build-up was more geometry and process dependent. Non-destructive neutron imaging based on the attenuation coefficient qualitatively visualized the compositional variation in the bulk and showed good agreement with quantitative Electron Probe Micro-Analysis (EPMA) measurement. Grain structure, texture, and residual plastic strain along the build direction were characterized by Electron Backscatter Diffraction (EBSD). Long columnar grains with (001) preferred grain orientation were dominant along the build direction. Compositional change did not show an obvious effect on the epitaxial growth of dendrites and the continuation of the columnar grains. Residual plastic strain was relatively low in the as-built specimens.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125430139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning from 2D: Machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections 从二维中学习:基于二维微观结构截面的非均质材料三维有效特性的机器学习

Frontiers in Metals and Alloys Pub Date : 2022-12-02 DOI: 10.3389/ftmal.2022.1100571

Guangyu Hu, M. Latypov

{"title":"Learning from 2D: Machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections","authors":"Guangyu Hu, M. Latypov","doi":"10.3389/ftmal.2022.1100571","DOIUrl":"https://doi.org/10.3389/ftmal.2022.1100571","url":null,"abstract":"Microstructure—property relationships are key to effective design of structural materials for advanced applications. Advances in computational methods enabled modeling microstructure-sensitive properties using 3D models (e.g., finite elements) based on microstructure representative volumes. 3D microstructure data required as input to these models are typically obtained from either 3D characterization experiments or digital reconstruction based on statistics from 2D microstructure images. In this work, we present machine learning (ML) approaches to modeling effective properties of heterogeneous materials directly from 2D microstructure sections. To this end, we consider statistical learning models based on spatial correlations and convolutional neural networks as two distinct ML strategies. In both strategies, models are trained on a dataset of synthetically generated 3D microstructures and their properties obtained from micromechanical 3D simulations. Upon training, the models predict properties from 2D microstructure sections. The advantage of the presented models is that they only need 2D sections, whose experimental acquisition is more accessible compared to 3D characterization. Furthermore, the present models do not require digital reconstruction of 3D microstructures.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122517772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning prediction of the mechanical properties of refractory multicomponent alloys based on a dataset of phase and first principles simulation 基于相和第一性原理模拟数据集的难熔多组分合金力学性能机器学习预测

Frontiers in Metals and Alloys Pub Date : 2022-11-17 DOI: 10.3389/ftmal.2022.1036656

Congyan Zhang, Xuhan Gu, U. Bhandari, Jialin Lei, Shengmin Guo, M. Kourouma, A. Karoui, Shizhong Yang

{"title":"Machine learning prediction of the mechanical properties of refractory multicomponent alloys based on a dataset of phase and first principles simulation","authors":"Congyan Zhang, Xuhan Gu, U. Bhandari, Jialin Lei, Shengmin Guo, M. Kourouma, A. Karoui, Shizhong Yang","doi":"10.3389/ftmal.2022.1036656","DOIUrl":"https://doi.org/10.3389/ftmal.2022.1036656","url":null,"abstract":"In this work, a dataset including structural and mechanical properties of refractory multicomponent alloys was developed by fusing computations of phase diagram (CALPHAD) and density functional theory (DFT). The refractory multicomponent alloys, also named refractory complex concentrated alloys (CCAs) which contain 2–5 types of refractory elements were constructed based on Special Quasi-random Structure (SQS). The phase of alloys was predicted using CALPHAD and the mechanical property of alloys with stable and single body-centered cubic (BCC) at high temperature (over 1,500°C) was investigated using DFT-based simulation. As a result, a dataset with 393 refractory alloys and 12 features, including volume, melting temperature, density, energy, elastic constants, mechanical moduli, and hardness, were produced. To test the capability of the dataset on supporting machine learning (ML) study to investigate the property of CCAs, CALPHAD, and DFT calculations were compared with principal components analysis (PCA) technique and rule of mixture (ROM), respectively. It is demonstrated that the CALPHAD and DFT results are more in line with experimental observations for the alloy phase, structural and mechanical properties. Furthermore, the data were utilized to train a verity of ML models to predict the performance of certain CCAs with advanced mechanical properties, highlighting the usefulness of the dataset for ML technique on CCA property prediction.","PeriodicalId":252257,"journal":{"name":"Frontiers in Metals and Alloys","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120960020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0