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Related papers: Dry Cutting Experiments Database Ti6Al4V and Ck45

200 papers

Predicting the final hardness of steel after heat treatment is a challenging regression task due to the many-to-one nature of the process -- different combinations of input parameters (such as temperature, duration, and chemical…

Artificial Intelligence · Computer Science 2025-10-08 Ahmad Alsheikh , Andreas Fischer

The through-process microstructural effects in A356 subjected to rotary forming at elevated temperatures have been investigated. Macro and micro-hardness testing have been used extensively to track changes in the material from the as-cast…

Materials Science · Physics 2014-06-23 M. J. Roy , D. M. Maijer

A novel approach to the modelling and simulation of the industrial compaction process of ceramic powders is proposed, based on a combination of: (i) continuum mechanics modelling of the constitutive response of the material; (ii) finite…

Materials Science · Physics 2016-01-12 M. Penasa , L. Argani , D. Misseroni , F. Dal Corso , M. Cova , A. Piccolroaz

This study presents a geometric deep learning framework for predicting cold spray particle impact responses using finite element simulation data. A parametric dataset was generated through automated Abaqus simulations spanning a systematic…

Machine Learning · Computer Science 2026-03-17 Akshansh Mishra

Materials-by-design has been historically challenging due to complex process-microstructure-property relations. Conventional analytical or simulation-based approaches suffer from low accuracy or long computational time and poor…

Materials Science · Physics 2023-10-24 Xiao Shang , Zhiying Liu , Jiahui Zhang , Tianyi Lyu , Yu Zou

Damage models for ductile materials typically need to be parameterized, often with the appropriate parameters changing for a given material depending on the loading conditions. This can make parameterizing these models computationally…

Materials Science · Physics 2023-07-31 Daniel N. Blaschke , Thao Nguyen , Mashroor Nitol , Daniel O'Malley , Saryu Fensin

The employment of femtosecond pulsed lasers has received significant attention due to its capability to facilitate fabrication of precise patterns at the micro- and nano- lengths scales. A key issue for efficient material processing is the…

Materials Science · Physics 2022-08-26 George D. Tsibidis , Dimitris Mansour , Emmanuel Stratakis

Freeze-casting produces materials with complex, three-dimensional pore structures which may be tuned during the solidification process. The range of potential applications of freeze-cast materials is vast, and includes: structural…

Applied Physics · Physics 2017-10-03 Kristen L. Scotti , David C. Dunand

Tensile tests at room temperature are performed using molecular dynamics on all configurations of single-walled carbon nanotubes up to 4 nm in diameter. Distributions of the Young's modulus, Poisson's ratio, ultimate tensile strength and…

Applied Physics · Physics 2021-09-08 Marko Canadija

Accurately predicting aerothermal behavior is paramount for the effective design of hypersonic vehicles, as aerodynamic heating plays a pivotal role in influencing performance metrics and structural integrity. This study introduces a…

Thermal properties of nanomaterials are crucial to not only improving our fundamental understanding of condensed matter systems, but also to developing novel materials for applications spanning research and industry. Since quantum effects…

Quantum Physics · Physics 2022-08-26 Connor Powers , Lindsay Bassman Oftelie , Daan Camps , Wibe A. de Jong

Computational Fluid Dynamics (CFD) simulations are a very important tool for many industrial applications, such as aerodynamic optimization of engineering designs like cars shapes, airplanes parts etc. The output of such simulations, in…

Computer Vision and Pattern Recognition · Computer Science 2021-03-12 Theodoros Georgiou , Sebastian Schmitt , Thomas Bäck , Nan Pu , Wei Chen , Michael Lew

Robotic cutting of soft materials is critical for applications such as food processing, household automation, and surgical manipulation. As in other areas of robotics, simulators can facilitate controller verification, policy learning, and…

Robotics · Computer Science 2022-03-22 Eric Heiden , Miles Macklin , Yashraj Narang , Dieter Fox , Animesh Garg , Fabio Ramos

To advance the development of future fusion devices beyond Wendelstein 7-X (W7-X), a robust understanding of energy confinement time scaling is crucial. Universal temperature and density profile shapes are theoretically anticipated through…

Plasma Physics · Physics 2025-09-24 Jan Ricken

We propose a machine learning approach to address a key challenge in materials science: predicting how fractures propagate in brittle materials under stress, and how these materials ultimately fail. Our methods use deep learning and train…

Nanoindentation is a powerful tool capable of providing fundamental insights of material elastic and plastic response at the nanoscale. Alloys at nanoscale are particularly interesting as the local heterogeneity and deformation mechanism…

This data set descriptor introduces a structured, high-resolution dataset of transient thermal simulations for a vertical axis of a machine tool test rig. The data set includes temperature and heat flux values recorded at 29 probe locations…

Computational Engineering, Finance, and Science · Computer Science 2025-09-23 C. Coelho , D. Fernández , M. Hohmann , L. Penter , S. Ihlenfeldt , O. Niggemann

Extrusion is a widely used process for forming pastes into designed shapes, and is central to the manufacture of many industrial products. The extrusion through a square-entry die of a model paste of non-Brownian spheres suspended in a…

Soft Condensed Matter · Physics 2016-08-23 Christopher Ness , Jin Y. Ooi , Jin Sun , Michele Marigo , Paul McGuire , Han Xu , Hugh Stitt

One of the most important and complicated problems in modern industry is to obtaining materials with the required chemical composition, structure and mechanical and physical properties. Solving this problem involves great deal of time and…

Materials Science · Physics 2018-10-31 Konstantin Borodianskiy , Michael Zinigrad

Metals are traditionally considered hard matter. However, it is well known that their atomic lattices may become dynamic and undergo reconfigurations even well-below the melting temperature. The innate atomic dynamics of metals is directly…