Követés
MD Asif Equbal
MD Asif Equbal
További nevekDr. Azhar Equbal, Anoop Kumar Sood, MD Israr Equbal
Associate Professor, Department of Mechanical Engineering, Gaya College of Engineering, Gaya -823003
E-mail megerősítve itt: bihar.gov.in - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
An investigation on sliding wear of FDM built parts
AK Sood, A Equbal, V Toppo, RK Ohdar, SS Mahapatra
CIRP Journal of Manufacturing Science and Technology 5 (1), 48-54, 2012
1812012
Prediction of dimensional accuracy in fused deposition modelling: a fuzzy logic approach
A Equbal, AK Sood, SS Mahapatra
International Journal of Productivity and Quality Management 7 (1), 22-43, 2011
692011
Optimization of process parameters of FDM part for minimiizing its dimensional inaccuracy
A Equbal, AK Sood, AR Ansari, MA Equbal
International Journal of Mechanical and Production Engineering Research and …, 2017
512017
Prediction and analysis of sliding wear performance of fused deposition modelling-processed ABS plastic parts
A Equbal, AK Sood, V Toppo, RK Ohdar, SS Mahapatra
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …, 2010
402010
Metallization on FDM processed parts using electroless procedure
A Equbal, A Equbal, AK Sood
Procedia materials science 6, 1197-1206, 2014
302014
Evaluating CNC milling performance for machining AISI 316 stainless steel with carbide cutting tool insert
A Equbal, MA Equbal, MI Equbal, P Ravindrannair, ZA Khan, ...
Materials 15 (22), 8051, 2022
222022
A review and reflection on part quality improvement of fused deposition modelled parts
A Equbal, MA Equbal, AK Sood, R Pranav, MI Equbal
IOP Conference Series: Materials Science and Engineering 455 (1), 012072, 2018
132018
Investigating the dimensional accuracy of the cavity produced by ABS P400 polymer-based novel EDM electrode
A Equbal, A Equbal, ZA Khan, IA Badruddin, MBA Bashir, H Alrobei
Polymers 13 (23), 4109, 2021
122021
Application of machine learning in fused deposition modeling: a review
A Equbal, S Akhter, MA Equbal, AK Sood
Fused Deposition Modeling Based 3D Printing, 445-463, 2021
92021
A Comparative Study on Electroplating of FDM Parts
A Equbal, MI Equbal, A Sood, MA Equbal
9*
A Comprehensive Supply Chain Performance Measurement and Evaluation (CSPME) Methodology
A Equbal, R Ohdar
International Journal of Mechanical and Production Engineering Research and …, 2017
72017
An investigation on material removal rate of EDM process: a response surface methodology approach
A Equbal, AK Sood, MA Equbal, MI Equbal
World Acad Sci Eng Technol Int J Mech Aerospace Ind Mechatron Manuf Eng 11 …, 2017
62017
Machine learning in additive manufacturing: a comprehensive insight
MA Equbal, A Equbal, ZA Khan, IA Badruddin
International Journal of Lightweight Materials and Manufacture, 2024
42024
RSM-BASED STATISTICAL APPROACH TO ENHANCE THE COMPRESSIVE PERFORMANCE OF ABS P400 PARTS FABRICATED VIA FDM TECHNOLOGY
A Equbal, MA Equbal, R Ahmad, M Kumar, HRISHIKESH, O KHAN, ...
Surface Review and Letters, 2550021, 2024
42024
Grey based Taguchi method for multi-response optimization of FSW of aluminium AA 6061 alloy
P Ravindrannair, A Equbal, MA Equbal, KK Saxena, MI Equbal
International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (3 …, 2024
42024
Multi-criterion decision method for roughness optimization of fused deposition modelled parts
A Equbal, MA Equbal, MI Equbal, AK Sood
Additive Manufacturing Technologies from an Optimization Perspective, 235-262, 2019
42019
An insight on current and imminent research issues in EDM
A Equbal, MI Equbal, MA Equbal, AK Sood
Non-Conventional Machining in Modern Manufacturing Systems, 33-54, 2019
32019
Optimizing the machining parameters during turning of EN 31 steel using TiN+ Al2O3+ TiCN coated tungsten carbide tool
J Prakash, A Equbal, P Ravindrannair, MA Equbal, MI Equbal
Materials Today: Proceedings, 2023
22023
Characteristics of Conventional and Microwave Sintered Iron Ore Preform
A Equbal, M Ali, MA Equbal, SC Srivastava, ZA Khan, MI Equbal, ...
Materials 15 (7), 2655, 2022
22022
Optimisation of forging parameters of 35C8 steel using grey relational analysis
MI Equbal, A Equbal, MA Equbal, R Pranav
International Journal of Microstructure and Materials Properties 13 (3-4 …, 2018
22018
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20