Modeling and optimization of process parameters for electric discharge machining of Al/Fe/SiC/MoS2 hybrid composites

被引:0
作者
Zaki, Mohammad Umair [1 ]
Upadhyay, Vikas [1 ]
Hasan, Faisal [2 ]
机构
[1] Natl Inst Technol, Dept Mech Engn, Patna 800005, India
[2] Aligarh Muslim Univ, Dept Mech Engn, Aligarh 202002, India
关键词
material removal rate; surface roughness; hybrid metal matrix composite; response surface methodology; optimization; METAL-MATRIX COMPOSITES; EDM;
D O I
10.1088/1402-4896/adc3da
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Machining metal matrix composites with conventional machining raises challenges due to the incorporation of hard particles in a softer matrix, resulting in lower tool life and surface finish. Adopting non-conventional methods such as Electric Discharge Machining (EDM) eases the machinability of such materials. This study evaluates the effect of EDM process parameters and composition, i.e., reinforcement weight fraction, on Al/Fe/SiC/MoS2 hybrid metal matrix composites. The impact of composition and machine variables, such as pulse-on time (TON), peak current (I), and duty cycle, are systematically studied to analyze material removal rate (MRR) and surface roughness (SR). The experiments were conducted using the Central Composite Design of Response Surface Methodology. ANOVA was used to emphasize the crucial role of process parameters in influencing MRR and Sr The study identifies optimal parameter combinations at a peak current of 9 A, a pulse on time of 100 mu s, a duty cycle of 0.7909, and a 15% composition of reinforcements in pure aluminum, enhancing overall EDM process responses.
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页数:14
相关论文
共 40 条
[1]   A review on current research trends in electrical discharge machining (EDM) [J].
Abbas, Norliana Mohd ;
Solomon, Darius G. ;
Bahari, Md. Fuad .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (7-8) :1214-1228
[2]   An Investigation of the Micro-Electrical Discharge Machining of Nickel-Titanium Shape Memory Alloy Using Grey Relations Coupled with Principal Component Analysis [J].
Abidi, Mustufa Haider ;
Al-Ahmari, Abdulrahman M. ;
Siddiquee, Arshad Noor ;
Mian, Syed Hammad ;
Mohammed, Muneer Khan ;
Rasheed, Mohammed Sarvar .
METALS, 2017, 7 (11)
[3]   Mechanical behaviour of Aluminium Alloy AA6063 processed through ECAP with optimum die design parameters [J].
Agarwal, Krishna Mohan ;
Tyagi, R. K. ;
Choubey, Vikas ;
Saxena, Kuldeep K. .
ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, 2022, 8 (02) :1901-1915
[4]   EDM of hybrid Al-SiCp-B4Cp and Al-SiCp-Glassp MMCs [J].
Ahamed, A. Riaz ;
Asokan, P. ;
Aravindan, S. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 44 (5-6) :520-528
[5]   Development and Control of a Multifunctional Prosthetic Hand with Shape Memory Alloy Actuators [J].
Andrianesis, Konstantinos ;
Tzes, Anthony .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2015, 78 (02) :257-289
[6]   Understanding the Micro-Mechanical Behaviour of Recast Layer Formed during WEDM of Titanium Alloy [J].
Basak, Animesh ;
Pramanik, Alokesh ;
Prakash, Chander ;
Shankar, Subramaniam ;
Debnath, Sujan .
METALS, 2022, 12 (02)
[7]   Wing morphing control with shape memory alloy actuators [J].
Bil, Cees ;
Massey, Kevin ;
Abdullah, Ermira J. .
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2013, 24 (07) :879-898
[8]  
Chawla KK, 2014, Encycl. Automot. Eng, P1, DOI [10.1002/9781118354179.auto279, DOI 10.1002/9781118354179.AUTO279]
[9]   Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques [J].
Cruz, Yarens J. ;
Rivas, Marcelino ;
Quiza, Ramon ;
Beruvides, Gerardo ;
Haber, Rodolfo E. .
SENSORS, 2020, 20 (16) :1-13
[10]   Mathematical modeling of electric discharge machining of cast Al-4Cu-6Si alloy-10 wt.% SiCp composites [J].
Dhar, Sushant ;
Purohit, Rajesh ;
Saini, Nishant ;
Sharma, Akhil ;
Kumar, G. Hemath .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 194 (1-3) :24-29