1,721,291 research outputs found
'India’s main challenge will be finding jobs': The New Indian Express dated 26th November 2017
Get PDFWith employment growth rate continues to be poor in rural industries, full-time member of NITI Aayog and noted agriculture economist Ramesh Chand said planning in the area of agriculture and allied sectors should be re-designed to generate more job opportunities in rural areas. He was speaking at an interactive session with the scientists of the ICAR-Central Marine Fisheries Research Institute (CMFRI).
Chand said creating employment is one of the biggest challenges the country is facing today and urged the scientists to concentrate on value addition in the sector that offer employment opportunities
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No full textNot AvailableNews item on "Prof. Ramesh Chand, Member, NITI Ayog visits CAZRI, Jodhpur (10 March 2017)" published on CAZRI website.Not Availabl
A comparison of farming practices and performance for wheat production in Haryana, India
No full textAvailable online: 15 May 2015Abstract not availableD.R. Coventry, R.S. Poswal, Ashok Yadav, Amritbir Singh Riar, Yi Zhou, Anuj Kumar, Ramesh Chand, R.S. Chhokar, R.K. Sharma, V.K. Yadav, R.K. Gupta, Anil Mehta, J.A. Cummin
Multi-physics continuum modelling approaches for metal powder additive manufacturing: a review
No full textThis paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling approach for its better understanding.
Design/methodology/approach
A systematic review of the literature available in the area of continuum modelling practices adopted for the powder bed fusion (PBF) AM processes for the deposition of powder layer over the substrate along with quantification of residual stress and distortion. Discrete element method (DEM) and finite element method (FEM) approaches have been reviewed for the deposition of powder layer and thermo-mechanical modelling, respectively. Further, thermo-mechanical modelling adopted for the PBF AM process have been discussed in detail with its constituents. Finally, on the basis of prediction through thermo-mechanical models and experimental validation, distortion mitigation/minimisation techniques applied in PBF AM processes have been reviewed to provide a future direction in the field.
Findings
The findings of this paper are the future directions for the implementation and modification of the continuum modelling approaches applied to PBF AM processes. On the basis of the extensive review in the domain, gaps are recommended for future work for the betterment of modelling approach.
Research limitations/implications
This paper is limited to review only the modelling approach adopted by the PBF AM processes, i.e. modelling techniques (DEM approach) used for the deposition of powder layer and macro-models at process scale for the prediction of residual stress and distortion in the component. Modelling of microstructure and grain growth has not been included in this paper.
Originality/value
This paper presents an extensive review of the FEM approach adopted for the prediction of residual stress and distortion in the PBF AM processes which sets the platform for the development of distortion mitigation techniques. An extensive review of distortion mitigation techniques has been presented in the last section of the paper, which has not been reviewed yet
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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