Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sandeep Singh Kharb"'
Publikováno v:
Instrumentation Mesure Métrologie. 19:385-389
As a systematic ergonomics improvement process has always been prevailing in mankind to maximize the human performance within its body’s capabilities and limitations, by providing it a safe workplace and equipment. In addition to this custom, a scr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5566088aae5fa75a82d8d86bc63343c5
https://doi.org/10.18280/i2m.190509
https://doi.org/10.18280/i2m.190509
Publikováno v:
Journal of The Institution of Engineers (India): Series A. 102:103-110
Manual farming tools must match the body characteristics of the workers for their safety and performance. With this objective to serve in the present study, 18 body dimensions were measured including age and mass for 200 male farmers from the five di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce3d105633b06e6a21ab3676274fd571
https://doi.org/10.1007/s40030-020-00481-1
https://doi.org/10.1007/s40030-020-00481-1
Autor:
Rajeev Verma, Archana Thakur, Sandeep Singh Kharb, Raj Sharma, Sumankant, Sandeep Kumar Khatkar
Publikováno v:
Silicon. 13:1461-1473
This article statistically investigates the effect of various parameters such as material factors: silicon carbide (SiC) fraction, graphite (Gr) fraction and mechanical factors: normal load, sliding distance and speed on the sliding wear rate of self
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9518e4a8689794febf2d184a2500b72e
https://doi.org/10.1007/s12633-020-00523-0
https://doi.org/10.1007/s12633-020-00523-0
Publikováno v:
Silicon. 13:1313-1323
In present research AZ91D/SiC composites were developed using advanced vacuum assisted stir casting process. The tribological properties of AZ91D/SiC composites under dry, oil and nanofluids lubricating conditions were investigated. The nanofluids we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e6ae82f5078305d273ba67bbb6cf107
https://doi.org/10.1007/s12633-020-00520-3
https://doi.org/10.1007/s12633-020-00520-3
Autor:
Sandeep Singh Kharb, Parveen Sihag, Anil Kumar, Sundeep Kumar Antil, Parvesh Antil, Sarbjit Singh
Publikováno v:
Silicon. 13:1113-1119
The machine learning methodology is gaining immense exposure as a potential methodology for solving and modelling the machining behaviour of advanced materials. The present paper deals with the application of machining learning approach in analyzing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85b4d3c4f427979e042c908ff0c1254d
https://doi.org/10.1007/s12633-020-00497-z
https://doi.org/10.1007/s12633-020-00497-z
Autor:
Sandeep Singh Kharb
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 6:1456-1462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eb373ac3a7976166937af97a8989417
https://doi.org/10.22214/ijraset.2018.5237
https://doi.org/10.22214/ijraset.2018.5237
Publikováno v:
Journal of the Institution of Engineers (India): Series C; Oct2023, Vol. 104 Issue 5, p925-939, 15p
Autor:
Gunaki, Pradip
Publikováno v:
Journal of Mines, Metals & Fuels; Oct2022, Vol. 70 Issue 10A, p168-172, 5p
Publikováno v:
Journal of the Institution of Engineers (India): Series A; Mar2021, Vol. 102 Issue 1, p103-110, 8p
The 44th volume of International Journal of Engineering Research in Africa contains articles describing the research results in the fields of materials science, mechanical engineering, applied and computational mechanics, construction materials and t
