Search Results - "Brahme, Abhijit"

A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys by Muhammad, Waqas, Brahme, Abhijit P., Ibragimova, Olga, Kang, Jidong, Inal, Kaan

“…Machine learning (ML) approaches are widely used to develop systems or frameworks with the ability to predict the properties of interest by learning and…”
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Application of artificial neural networks in micromechanics for polycrystalline metals by Ali, Usman, Muhammad, Waqas, Brahme, Abhijit, Skiba, Oxana, Inal, Kaan

“…Machine learning techniques are widely used to understand and predict data trends and therefore can provide a huge computational advantage over conventional…”
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Experimental and numerical investigation of texture evolution and the effects of intragranular backstresses in aluminum alloys subjected to large strain cyclic deformation by Muhammad, Waqas, Brahme, Abhijit P., Kang, Jidong, Mishra, Raja K., Inal, Kaan

“…Strain hardening in FCC metals and alloys can be accompanied by the formation of deformation induced dislocation microstructures. These microstructures tend to…”
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Experimental analyses and numerical modeling of texture evolution and the development of surface roughness during bending of an extruded aluminum alloy using a multiscale modeling framework by Muhammad, Waqas, Ali, Usman, Brahme, Abhijit P., Kang, Jidong, Mishra, Raja K., Inal, Kaan

“…Bending is an important strain path in various metal forming operations as well as vehicle crashworthiness. In the present study, the bending behavior of an…”
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Bendability enhancement of an age-hardenable aluminum alloy: Part II — multiscale numerical modeling of shear banding and fracture by Muhammad, Waqas, Brahme, Abhijit P., Ali, Usman, Hirsch, Jürgen, Engler, Olaf, Aretz, Holger, Kang, Jidong, Mishra, Raja K., Inal, Kaan

“…In this study, the sequence of microstructural events leading to failure and the relationship between crystallographic texture, shear band development,…”
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A Crystal Plasticity Formulation for Simulating the Formability of a Transformation Induced Plasticity Steel by Zhang, Pingcheng, Kohar, Christopher P., Brahme, Abhijit P., Choi, Shi-Hoon, Mishra, Raja K., Inal, Kaan

“…The enhancement in formability of new advanced high strength steels (AHSS), such as duplex stainless steel, arises from increased hardening and ductility from…”
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An evolution of subsequent yield loci under proportional and non-proportional loading path of ‘as-received’ extruded AZ31 magnesium alloy: Experiments and CPFEM modeling by Iftikhar, Ch Mohammad Abbas, Brahme, Abhijit, Inal, Kaan, Khan, Akhtar S.

“…•Subsequent yield loci under proportional loading paths are determined at different strain levels for the first time for as-recieved AZ31 magnesium…”
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Bendability enhancement of an age-hardenable aluminum alloy: Part I — relationship between microstructure, plastic deformation and fracture by Muhammad, Waqas, Kang, Jidong, Brahme, Abhijit P., Ali, Usman, Hirsch, Jürgen, Brinkman, Henk-Jan, Engler, Olaf, Mishra, Raja K., Inal, Kaan

“…In this study, the bendability of two 1 mm thick sheets of monolithic AA6016 and composite AA6016X alloys is investigated using a series of wrap-bend tests,…”
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A criterion for ductile failure in age-hardenable aluminum alloys by Muhammad, Waqas, Brahme, Abhijit P., Sabat, Rama K., Mishra, Raja K., Inal, Kaan

“…In the present work, a new constitutive model is proposed to predict failure in age-hardenable aluminum alloys. In this regard, the existing nano-void theory…”
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Effects of post-necking hardening behavior and equivalent stress–strain curves on the accuracy of M–K based forming limit diagrams by Mohammadi, Mohsen, Brahme, Abhijit P., Mishra, Raja K., Inal, Kaan

“…•Taylor type crystal plasticity scheme together with M–K based FLD is employed.•Analysis demonstrates that the post-necking behavior affects the predicted…”
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The backstress effect of evolving deformation boundaries in FCC polycrystals by Brahme, Abhijit P., Inal, Kaan, Mishra, Raja K., Saimoto, S.

“…Shape change of metal systems generates deformed microstructures of dislocation arrays that are comprised of walls of high density separating low density…”
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A new strain hardening model for rate-dependent crystal plasticity by Brahme, Abhijit P., Inal, Kaan, Mishra, Raja K., Saimoto, Shigeo

“…► We present new strain hardening model by Saimoto-Van Houtte (2011) into rate dependent crystal plasticity. ► Predictive capability of this model investigated…”
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Prediction of cold rolling texture of steels using an Artificial Neural Network by Brahme, Abhijit, Winning, Myrjam, Raabe, Dierk

“…We present an Artificial Neural Network based model for the prediction of cold rolling textures of steels. The goal of this work was to design a model capable…”
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Analytical estimation of distance-disorientation function of the material microstructure by Staraselski, Yauheni, Brahme, Abhijit, Inal, Kaan, Mishra, Raja K.

“…This work presents a new functional approach to estimate the distance-disorientation correlation function of a given microstructure. The proposed approach…”
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A new ANN based crystal plasticity model for FCC materials and its application to non-monotonic strain paths by Ibragimova, Olga, Brahme, Abhijit, Muhammad, Waqas, Lévesque, Julie, Inal, Kaan

“…Machine learning (ML) methods are commonly used for pattern recognition in almost any field one could imagine. ML techniques can also offer a substantial…”
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A convolutional neural network based crystal plasticity finite element framework to predict localised deformation in metals by Ibragimova, Olga, Brahme, Abhijit, Muhammad, Waqas, Connolly, Daniel, Lévesque, Julie, Inal, Kaan

“…Convolutional neural networks (CNNs) find vast applications in the field of image processing. This study utilises the CNNs in conjunction with the crystal…”
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Twinning and texture randomization in Mg and Mg-Ce alloys by Mishra, Raja K., Brahme, Abhijit, Sabat, Rama Krushna, Jin, Li, Inal, Kaan

“…The deformation behavior of extruded pure Mg and Mg 0.5%Ce alloys is studied using in-situ electron backscatter diffraction (EBSD) under compressive loading…”
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A new micromechanics based full field numerical framework to simulate the effects of dynamic recrystallization on the formability of HCP metals by Nagra, Jaspreet S., Brahme, Abhijit, Lévesque, Julie, Mishra, Raja, Lebensohn, Ricardo A., Inal, Kaan

“…This paper presents a new full-field, efficient and mesh-free numerical framework to model microstructure evolution, dynamic recrystallization (DRX) and…”
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Efficient fast Fourier transform-based numerical implementation to simulate large strain behavior of polycrystalline materials by Nagra, Jaspreet S., Brahme, Abhijit, Lebensohn, Ricardo A., Inal, Kaan

“…In this paper, a new full-field numerical framework is proposed to model large strain phenomena in polycrystals. The proposed framework is based on the…”
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A new multi-scale framework to incorporate microstructure evolution in phenomenological plasticity: Theory, explicit finite element formulation, implementation and validation by Kohar, Christopher P., Bassani, John L., Brahme, Abhijit, Muhammad, Waqas, Mishra, Raja K., Inal, Kaan

“…Representation of anisotropy is a key factor in the predictive capabilities of finite element simulations of metal alloys. Micromechanics-based computational…”
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