Results 61 to 70 of about 23,475,186 (175)

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Additive Manufacturing of Nickel-based Hastelloy X Superalloy by Electron and Laser-based Powder Bed Fusion

, 2022
This thesis examines the effect of microstructure on the room and elevated temperature mechanical properties of nickel-based Hastelloy X superalloy manufactured by electron beam powder bed fusion and laser based powder bed fusion process.
AMAL SHAJI KARAPUZHA (11912615)
core   +1 more source

Research on tool wear prediction based on Archard agglomeration scavenging theory

Advances in Mechanical Engineering, 2017
Nickel-based superalloy Inconel 718 has been widely used in the modern aviation field, however, its cutting performance is poor. This performance not only affects the effectiveness of the use of the tool but also reduces the efficiency of production.
Weichao Zhang, Fan Zou, Yuan Li, Maohua Xiao, Guosheng Geng, Haijun Zhang, Xintian Nie, Wenan Yang   +7 more
doaj   +1 more source

Mechanical Properties of Graphene Reinforced Nickel-based P/M Superalloy

Cailiao gongcheng, 2017
The graphene nanosheets were dispersed in the superalloy powder by using the wet mixing method, and then the nickel based FGH96 P/M superalloy was prepared with hot isostatic pressing(HIP)+hot extrusion(HEX)+hot isothermal forging(HIF)+heat treating(HT ...
JI Chuan-bo, WANG Xiao-feng, ZOU Jin-wen, YANG Jie   +3 more
doaj   +1 more source

Atomistic Insights into Gradient Architecture Driven Strengthening in Additively Manufactured Cu–Ni Stepwise Graded Structures

Advanced Materials Interfaces, Volume 13, Issue 20, 21 October 2026.
Atomistic simulations reveal the interlayer mechanics of additively manufactured materials, showing how build direction and layer interfaces govern diffusion, defect evolution, and mechanical strength. Distinct anisotropic behavior arises from interface‐controlled deformation and dislocation activity, establishing critical links between microstructural
Rohit Singh, Jinoop Arackal Narayanan
wiley   +1 more source

Research on Cutting Performance of High-Speed Steel Drills during Drilling the Powder Metallurgy Nickel-Based Superalloy

, 2011
The present paper is an experimental investigation on the machinability of powder metallurgy (PM) nickel-based superalloy during drilling using high-speed steel (M42) drills.
Xing Ai, Zhan Qiang Liu, Yang Qiao
core   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Selection of Tool Materials and Cutting Parameters Optimization for Turning Nickel-Based Powder Metallurgy Superalloy

, 2010
Powder metallurgy (PM) nickel-based superalloy is regarded as one of the most important aerospace industry materials. A series of turning tests in a wide range of speeds with different inserts were carried out to select the proper tool material.
Xing Ai, Zhan Qiang Liu, Yang Qiao
core   +1 more source

AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
A stepwise optimization method is proposed for castability and mechanical properties of nickel‐based superalloys, enabling interpretable dimensionality reduction and efficient multi‐objective optimization of the composition space. An alloy design multi‐agent framework was further developed, integrating large language models, CALPHAD calculation ...
Jiaxuan Ma, Songyang Chen, Rui Feng, Xin Hao, Hang Zheng, Chushan Yi, Qingbiao Tan, Guoliang Zhu   +7 more
wiley   +1 more source

Surface plastic deformation study of directionally solidified nickel-based superalloy machined by ultrasonic vibration grinding

Journal of Materials Research and Technology
Directionally solidified nickel-based superalloy exhibits anisotropic mechanical properties attributed to the removal of detrimental transverse grain boundaries.
Pingzhong Zhu, Feifei Cai, Zhigang Dong, Nianwei Xu, Renke Kang, Wei Han, Yuan Zhang   +6 more
doaj   +1 more source