Optimization of process parameters on engine exhaust valves using Taguchi method in friction welding process

被引:4
作者
Nagasankar, P. [1 ]
Gurusamy, P. [2 ]
Gopinath, S. [1 ]
Gnanaprakash, K. [1 ]
Pradeep, G. [1 ]
机构
[1] Vel Tech High Tech Dr Rangarajan & Dr Sakunthala, Dept Mech Engn, Avadi 600062, Tamil Nadu, India
[2] Chennai Inst Technol, Dept Mech Engn, Chennai 600069, Tamil Nadu, India
关键词
Friction Welding; IC engine; Exhaust valve; Taguchi; ANOVA; MECHANICAL-PROPERTIES; BEHAVIOR;
D O I
10.1016/j.matpr.2020.04.376
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
There are many parameters which are used to process and execute the effective way of welding technique. The friction force, upset force and soft forces are the parameters which are considered during the welding process. In this study, friction welding has been taken to join the engine valve's stem (SUH11 steel) and head (21-4 N grade steel). The application of pressure is the primary factor followed by the time which plays a vital role in any kind of processes. The welding length should be known before starting the friction welding process. From these materials Bi metal poppet exhaust valves are machined and with the machining parameters the material has been optimized. Design of experiments is applied in this study and the controlling elements are identified by the effective tool of Taguchi Method. By selecting the parameters L8 Orthogonal Array is fixed for this work. Further, the multiple linear regression analysis is taken up and it is followed by ANOVA which has been implemented for the entire length of the welding. In order to optimize the work, MINITAB 18.1 software is used. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3212 / 3217
页数:6
相关论文
共 33 条
[1]  
Arumugam M., 2019, MAT TECHNOLOGY, V53, P327
[2]   Laser parameters optimization of surface treating of Al 6082-T6 with Taguchi method [J].
Canel, Timur ;
Zeren, Muzaffer ;
Sinmazcelik, Tamer .
OPTICS AND LASER TECHNOLOGY, 2019, 120
[3]  
Irfan SS, 2019, MATER TODAY-PROC, V18, P2952
[4]   An adaptive reduced basis ANOVA method forhigh-dimensional Bayesian inverse problems [J].
Liao, Qifeng ;
Li, Jinglai .
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 396 :364-380
[5]  
Mallikarjuna V., 2016, Int. J. Adv. Eng. Res. Sci, V3, P40, DOI [10.22161/ijaers/3.10.9, DOI 10.22161/IJAERS/3.10.9]
[6]   Tribological and mechanical properties of Zirconium Di-boride (ZrB2) particles reinforced aluminium matrix composites [J].
Mohanavel, V. ;
Ravichandran, M. ;
Kumar, S. Suresh .
MATERIALS TODAY-PROCEEDINGS, 2020, 21 :862-864
[7]   Influence of AlN particles on microstructure, mechanical and tribological behaviour in AA6351 aluminum alloy [J].
Mohanavel, V ;
Ravichandran, M. .
MATERIALS RESEARCH EXPRESS, 2019, 6 (10)
[8]   Optimization of tungsten inert gas welding parameters to attain maximum impact strength in AA6061 alloy joints using Taguchi Technique [J].
Mohanavel, V. ;
Ravichandran, M. ;
Kumar, S. Suresh .
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (11) :25112-25120
[9]   Mechanical and tribological characterization of stir-cast Al-SiCpcomposites [J].
Mohanavel, V. ;
Rajan, K. ;
Kumar, S. Suresh ;
Chockalingam, A. ;
Roy, Aquila ;
Adithiyaa, T. .
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (01) :1740-1746
[10]   Effect of silicon carbide reinforcement on mechanical and physical properties of aluminum matrix composites [J].
Mohanavel, V. ;
Rajan, K. ;
Kumar, S. Suresh ;
Udishkumar, S. ;
Jayasekar, C. .
MATERIALS TODAY-PROCEEDINGS, 2018, 5 (01) :2938-2944