scispace - formally typeset
Search or ask a question
Institution

Steel Authority of India

About: Steel Authority of India is a based out in . It is known for research contribution in the topics: Microstructure & Ultimate tensile strength. The organization has 797 authors who have published 661 publications receiving 9958 citations. The organization is also known as: SAIL.


Papers
More filters
Journal ArticleDOI
C. Adolph1, M. Aghasyan, R. Akhunzyanov2, M.G. Alexeev3  +238 moreInstitutions (27)
TL;DR: The Sivers function describes the correlation between the transverse spin of a nucleon and transverse motion of its partons as mentioned in this paper, and it was studied in previous measurements of the azimuthal position of quarks.

35 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the solid particle erosion behavior of a new composite material formed by adding blast furnace slag (BFS) particles at different amounts of 0, 10, 20, 30, 30% to short glass fiber (SGF)-reinforced epoxy resin.
Abstract: The target of this experimental study is to investigate the solid particle erosion behavior of a new composite material formed by adding blast furnace slag (BFS) particles at different amounts of 0, 10, 20, 30 wt% to short glass fiber (SGF)-reinforced epoxy resin. The resulting hybrid composites are subjected to solid particle erosion using an air jet–type erosion test rig. Erosion tests are carried out by following a well-designed experimental schedule based on Taguchi's orthogonal array. BFS content, impact velocity, and impingement angle are identified as the significant factors affecting the erosion rate of the composites. A prediction model based on an artificial neural network (ANN) is proposed to predict the erosion performance of these composites under a wide range of erosive wear conditions. This model is based on the database obtained from the experiments and involves training, testing, and prediction protocols. The work shows that an ANN model helps in saving time and resources that are require...

34 citations

Journal ArticleDOI
TL;DR: In this article, the formation of the Goss texture in Fe-3 Pct Si has been studied using crystallite orientation distribution function (ODF) analysis and it was shown that the genesis of the final sharp cube-on-edge texture seems to lie in the grains already present in the goss position in the surface layers of the hot-rolled strip.
Abstract: The formation of the Goss texture in Fe-3 Pct Si has been studied using crystallite orientation distribution function (ODF) analysis. Textural and microstructural changes through various stages of processing have been investigated for silicon steel with MnS (regular) as well as for steel with a combination of MnS and A1N (high permeability) as grain-growth inhibitor. In both cases the genesis of the final sharp cube-on-edge texture seems to lie in the grains already present in the Goss position in the surface layers of the hot-rolled strip. The major difference in the mechanism of Goss texture formation in the two types of steels is with respect to the relationship between the strengths of the {011}〈100〉 and {111}〈112〉 components through successive processing operations.

34 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a concise review of the optimisation models for the preventive repair/replacement/inspection of components/assemblies/subsystems with the aim of critically examining their prospects as well as limitations in implementation in heavy process industries.
Abstract: This paper presents a concise review of the optimisation models for the preventive repair/replacement/inspection of components/assemblies/subsystems with the aim of critically examining their prospects as well as limitations in implementation in heavy process industries. The survey covers models under two major categories: models for single-unit systems and for multi-unit systems. Single-unit models are presented under three subcategories of two-state models, three-state models and multistate models; multi-unit models encompass models for the grouping of component replacements under three types of replacements: corrective, opportunistic and preventive. Each of the models and their variations are followed by a discussion on implementation problems and prospects particularly in process industries. [Received 23 April 2008; Revised 18 February 2009; Revised 01 May 2009; Accepted 04 May 2009]

34 citations

Journal ArticleDOI
TL;DR: An extensive investigation has been carried out to study structure-property characteristics and corrosion behavior in three varieties of thermomechanically treated (TMT) reinforcement bars (rebars) produced in an integrated steel plant under the Steel Authority of India Limited as discussed by the authors.
Abstract: An extensive investigation has been carried out to study structure-property characteristics and corrosion behavior in three varieties of thermomechanically treated (TMT) reinforcement bars (rebars) produced in an integrated steel plant under the Steel Authority of India Limited. Three experimental steel heats–one of plain-carbon and two of low-alloy chemistry-were chosen for the study. Of the two lowalloy heats, one was copper-bearing and the other contained both copper and chromium for improved corrosion resistance. Hot-rolled bars for each specific chemistry were subjected to in-line thermomechanical treatment, where quenching parameters were altered to achieve different yield strength levels.

33 citations


Authors

Showing all 797 results

NameH-indexPapersCitations
Shrikanth S. Narayanan83108731812
Jiashi Feng7742621521
Ahmed E. Hassan7332417253
Prabhat Jha6748128230
Haresh Kirpalani5222610229
Jay Singh513018655
Thanos Papadopoulos461327413
Subhasis Chaudhuri443438437
Alexandros Potamianos422166370
Ashutosh Prasad36793441
James Udy35813558
Anup Das343134353
L. Sinha33823461
Sangam Banerjee311533571
Nilotpala Pradhan30833071
Network Information
Related Institutions (5)
Council of Scientific and Industrial Research
31.8K papers, 707.7K citations

76% related

University of Science and Technology Beijing
44.4K papers, 623.2K citations

75% related

Indian Institute of Technology Madras
36.4K papers, 590.4K citations

74% related

Banaras Hindu University
23.9K papers, 464.6K citations

72% related

Indian Institute of Technology Roorkee
21.4K papers, 419.9K citations

72% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202137
202036
201916
201831
201729
201628