Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Al‐Ansari, Mohammed"'
Autor:
Abd Algani, Yousef Methkal, Marquez Caro, Orlando Juan, Robladillo Bravo, Liz Maribel, Kaur, Chamandeep, Al Ansari, Mohammed Saleh, Kiran Bala, B.
Publikováno v:
In Measurement: Sensors February 2023 25
Autor:
Alkhalaf, Qusai, Raj Singh Suri, Amar, Chandel, S.S., Thapa, Sashank, Saleh Al Ansari, Mohammed
Publikováno v:
In Materials Today: Proceedings
Autor:
Mazumdar, Nilanjan, Kumar Sharma, Jai, Navruzbek Shavkatovich, Shavkatov, Uike, Dipesh, Kadam, Sanjeev, Verma, Mrinal, Jaber Alam, Mohammed, sharma, Abhay, Thakur, Abhishek, Saleh Al Ansari, Mohammed
Publikováno v:
In Materials Today: Proceedings
Autor:
N. Nagabhooshanam, N. Bala sundara ganapathy, C. Ravindra Murthy, Al Ansari Mohammed Saleh, Ricardo Fernando CosioBorda
Publikováno v:
Measurement: Sensors, Vol 27, Iss , Pp 100779- (2023)
In recent years, there are a lot of security risks in the network, and there is the combination intersection between the computer network security problems and security evaluation. The scale of computer network is very large with vast information, so
Externí odkaz:
https://doaj.org/article/7118c95c55374e35948e5538a956a842
Autor:
Al Ansari Mohammed Saleh, Kaliappan S., Mrudula G., Dehankar Prashant B., Maranan Ramya, Teja Putti Venkata Siva
Publikováno v:
E3S Web of Conferences, Vol 556, p 01021 (2024)
This research deals with the optimization of milling parameters for Al7075/nano SiC/TiC hybrid metal matrix composites by Taguchi approach an Artificial Neural Network. Experimental trials conducted in accordance with Taguchi L9 orthogonal array desi
Externí odkaz:
https://doaj.org/article/17509b74b6a1477da60ab8fab5d44dcc
Autor:
Al Ansari Mohammed Saleh, Krishnakumari A., Saravanan M., Kiran Chappeli Sai, Kaliappan Seeniappan, Maranan Ramya
Publikováno v:
E3S Web of Conferences, Vol 556, p 01023 (2024)
This present research deals with optimizing machining parameters and surface quality improvement of Al2024/SiCp composites which are important materials used in the aerospace industry. The optimal quartet of factors was investigated to achieve the be
Externí odkaz:
https://doaj.org/article/00e451ae2e8046129d6cdb80aa335172
Autor:
Al Ansari Mohammed Saleh, Kaliappan Seeniappan, Bhargavi P., Dehankar Shital P., Mothilal T., Maranan Ramya
Publikováno v:
E3S Web of Conferences, Vol 556, p 01020 (2024)
This research centers on optimizing the machining process of Al7072 alloy reinforced with carbon nanoparticles. While surface roughness is the primary research focus, it is one of the most critical parameters in the manufacturing of aerospace compone
Externí odkaz:
https://doaj.org/article/4461a734fd6c49398cd03042be48c85e
Autor:
Al Ansari Mohammed Saleh, Kaliappan Seeniappan, Reddy G. Bharath, Muthukannan M., Maranan Ramya, Mishra Parthasarathi
Publikováno v:
E3S Web of Conferences, Vol 556, p 01022 (2024)
The primary objective of the current research is to optimize machining performance in Al 7010 alloyreinforced with silicon nitride nanoparticles. This has been accomplished through a combination ofexperimental analysis and predictive modeling methodo
Externí odkaz:
https://doaj.org/article/76c823cf9b8741a9b5c653b67876871c
Autor:
Al Ansari Mohammed Saleh, Karthikeyan K.M.B., Kaliappan Seeniappan, Yogeswari S., Maranan Ramya, Meshram Pawan Devidas
Publikováno v:
E3S Web of Conferences, Vol 556, p 01019 (2024)
The current research explores the optimization of Silicon Carbide particle-reinforced aluminum metal matrix composites to improve mechanical properties. An integrated method based on Taguchi Design of Experiment and Artificial Neural Network has been
Externí odkaz:
https://doaj.org/article/7627461194524c519bc23bc974b47603