Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Argha Das"'
Physicochemical characterization of dual action liposomal formulations: anticancer and antimicrobial
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02372- (2019)
Background: Cancer till date remains one of the world's most life threatening disease accompanied by risk of secondary infections. Therefore formulations carrying anticancer drugs which can also decrease the risk of secondary infection are inevitable
Externí odkaz:
https://doaj.org/article/67493ed2a1ef41f3bf198c2f69a13394
Publikováno v:
Measurement. 121:190-204
Improving product quality during machining of thin-wall components has always been a challenging problem due to the low rigidity of work parts. Therefore careful selection of process parameters to obtain the desired performance is of utmost importanc
Publikováno v:
Materials Today: Proceedings. 5:6461-6469
Precise and accurate machining of thin-walled structures is a difficult task as they often deflect during machining due to their low rigidity. Therefore careful selection of machining parameters and machining approaches are important to achieve desir
Publikováno v:
Neural Computing and Applications. 29:665-677
Non-conventional machining processes always suffer due to their low productivity and high cost. However, a suitable machining process should improve its productivity without compromising product quality. This implies the necessity to use efficient mu
Publikováno v:
Techno-Societal 2016 ISBN: 9783319535555
This paper presents an experimental study on machining of thin-wall components made up of aluminum alloy 2024 using solid carbide flat-end mills. Experiments were carried out to evaluate the effect of process parameters viz. feed rate and axial depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9721259eef92c77280d8086154f3b1
https://doi.org/10.1007/978-3-319-53556-2_70
https://doi.org/10.1007/978-3-319-53556-2_70
Publikováno v:
Procedia Materials Science. 6:597-604
In this study Taguchi based grey relational analysis is used to find out optimum process parameters for Particle Swarm Optimization. PSO-type, population size and C values are selected as process parameters for this analysis. The parameters obtained
Publikováno v:
International Journal of Additive and Subtractive Materials Manufacturing. 1:3
The manufacturing requirements of the aerospace industry makes it imperative to use thin wall machining techniques to machine parts that would otherwise have to be assembled from a number of parts. To achieve high productivity, there must be increase