A5050995253- Nuclear Materials and Properties
- Additive Manufacturing Materials and Processes
- Corporate Social Responsibility Reporting
- Nuclear reactor physics and engineering
- Fatigue and fracture mechanics
- Fusion materials and technologies
- Manufacturing Process and Optimization
- Corporate Identity and Reputation
- Microstructure and mechanical properties
- Public Relations and Crisis Communication
- Additive Manufacturing and 3D Printing Technologies
- High Temperature Alloys and Creep
- Business Process Modeling and Analysis
- Hydrogen embrittlement and corrosion behaviors in metals
- Quality and Supply Management
- Welding Techniques and Residual Stresses
- Topic Modeling
- Environmental Sustainability in Business
- Aluminum Alloy Microstructure Properties
- Microstructure and Mechanical Properties of Steels
- Knowledge Management and Sharing
- High Entropy Alloys Studies
- Quality and Management Systems
- Non-Destructive Testing Techniques
- Computational and Text Analysis Methods
GE Global Research (United States)
2017-2024
Indian Institute of Technology Jodhpur
2024
Thapar Institute of Engineering & Technology
2015-2024
Granta Design (United Kingdom)
2024
Pennsylvania State University
2022-2023
General Electric (United States)
2018-2022
University of Petroleum and Energy Studies
2022
General Electric (Israel)
2018-2021
Saint Joseph's University
1997-2021
CMR University
2020
Iron-chromium-aluminum (FeCrAl) alloys are being investigated as cladding material for urania nuclear fuel in light water power reactors. One extraordinary attribute of the FeCrAl is their resistance to attack by air and steam up melting point. It was interest study kinetics oxidation from 800°C 1300°C determine how oxides evolve provide protection alloys. The two were APMT (Fe-21Cr-5Al-3Mo) C26M (Fe-12Cr-6Al-2Mo). Results show that both had similar despite different chemical compositions....
Purpose – The purpose of this study is to assess the lean performance a tyre manufacturing firm in India. key objective find strategic and operational decision‐making dimensions for developing effective environment organization.
While Visual Question Answering (VQA) has progressed rapidly, previous works raise concerns about robustness of current VQA models. In this work, we study the models from a novel perspective: visual context. We suggest that over-rely on context, i.e., irrelevant objects in image, to make predictions. To diagnose models' reliance context and measure their robustness, propose simple yet effective perturbation technique, SwapMix. SwapMix perturbs by swapping features with other dataset. Using...
Purpose This case seeks to illustrate the specific problem of excessive defects in radial tyres produced a renowned tyre manufacturing company India. paper aims show how lean Six‐Sigma methodology can be used tackle issues like reduction. Design/methodology/approach The management took this on top priority as it is eroding their brand value and financial performance. A Mumbai‐based consulting group was approached issue. One authors, who pursuing research determinants successful...
Abstract FeCrAl alloys are a leading candidate material for accident tolerant fuel cladding due to their good performance in both normal light-water reactor operating conditions as well resilience high-temperature scenarios. For commercial-scale production, new fabrication techniques need be investigated. In this study, the effects of methods on steam oxidation C26M (Fe12Cr6Al2Mo wt.%) were Three variants manufactured: wrought (cast and forged) (WC26M), powder metallurgy hot isostatic...
Early successional tree species typically attract numerous generalist frugivores, many of which serve as seed dispersers. This study evaluated whether several such dispersers facilitated the invasion an exotic, early species, Maesopsis eminii (Rhamnaceae), in submontane forests East Usambara Mountains, Tanzania. The primary and their dispersal effectiveness were determined through focal watches at eight trees. Only 3 13 frugivores that consumed fruits functioned (silvery-cheeked hornbill...
FeCrAl alloys are among the most promising candidates for accident-tolerant fuel cladding material in light water nuclear reactors. Despite their high-temperature oxidation resistance corrosive environments coupled with hydrothermal corrosion resistance, a key challenge remains optimizing composition of alloy that can be achieved through statistical analysis. However, current literature on design lack studies designing based resistance. This study addresses gap by developing predictive model...
Iron-Chromium-Aluminum (FeCrAl) alloys are candidate materials for the cladding of light water reactor (LWR) fuels. The FeCrAl in general range Cr composition from 12% (C26M) to 21% (APMT). In this work, corrosion behavior Additively Manufactured (AM) C26M coupons was compared traditional Powder Metallurgy (PM) coupons. Immersion testing were conducted 12 months at 288 °C and 330 pure containing either oxygen or hydrogen. Results show that mass change AM specimens hydrogenated like PM...
Abstract Single-track laser fusion were simulated using a heat-transfer-solidification-only (HTS) model and its extension with fluid dynamics (HTS_FD) parallel open-source code, which included laminar dynamics, flat-free surface of the molten alloy, heat transfer, phase-change, evaporation, tension phenomena. The results illustrate that affects solidification ensuing microstructure. For HTS_FD simulations, thermal gradient, G was found to exhibit maximum at extremity solidified pool ( i.e. ,...
Large language models (LLMs) have become ubiquitous, thus it is important to understand their risks and limitations. Smaller LLMs can be deployed where compute resources are constrained, such as edge devices, but with different propensity generate harmful output. Mitigation of LLM harm typically depends on annotating the harmfulness output, which expensive collect from humans. This work studies two questions: How do smaller rank regarding generation content? well larger annotate harmfulness?...
Additive technologies are expected to revolutionize manufacturing across almost every industry, but there is a sizable gap between the current state of technology and maturity required for it achieve widespread adoption. Advanced analytics improve reliability repeatability additive manufacturing, those require data. Large volumes multimodal data generated used throughout lifecycle, from material design part simulation, printing post-processing inspection. To capture link that diverse Big...
Abstract Accurate identification and modeling of process maps in additive manufacturing remains a pertinent challenge. To ensure high quality reliability the finished product researchers, rely on models that entail physics as computer code or conduct laboratory experiments, which are expensive oftentimes demand significant logistic overheads. Physics-based computational has shown promise alleviating aforementioned challenge, albeit with limitations like physical approximations, model-form...
A Laue X-ray diffraction pattern indexing scheme, similar to a method previously proposed for convergent beam and backscattered electron patterns, was implemented. Experimental patterns are compared with simulated templates corresponding crystals of prescribed orientations. The orientation diffracting volume is determined by maximizing normalized cross correlation index between experimental theoretical patterns. advantages template matching include (i) elimination the requirement extensive...