Dynamic modeling of friction stir welding for model predictive control

2016 ◽  
Vol 23 ◽  
pp. 165-174 ◽  
Author(s):  
Brandon S. Taysom ◽  
Carl D. Sorensen ◽  
John D. Hedengren
Keyword(s):  
Friction Stir Welding ◽  
Model Predictive Control ◽  
Dynamic Modeling ◽  
Predictive Control ◽  
Friction Stir

scholarly journals Dynamic Modeling and Analysis of a Horizontal Operating 3-Axis Machine for Friction Stir Welding

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 129874-129882
Author(s):  
M. Tuffaha ◽  
A. Bazoune ◽  
F. Al-Badour ◽  
N. Merah ◽  
A. Shuaib
Keyword(s):  
Friction Stir Welding ◽  
Dynamic Modeling ◽  
Modeling And Analysis ◽  
Friction Stir

Dynamic modeling and economic model predictive control of a liquid desiccant air conditioning

2020 ◽  
Vol 259 ◽  
pp. 114174 ◽  
Author(s):  
Yuliang Jiang ◽  
Xinli Wang ◽  
Hongxia Zhao ◽  
Lei Wang ◽  
Xiaohong Yin ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Dynamic Modeling ◽  
Predictive Control ◽  
Economic Model ◽  
Air Conditioning ◽  
Liquid Desiccant ◽  
Economic Model Predictive Control

scholarly journals Dynamic modeling and model predictive control of an RCCI engine

2018 ◽  
Vol 81 ◽  
pp. 129-144 ◽  
Author(s):  
A. Raut ◽  
B.K. Irdmousa ◽  
M. Shahbakhti
Keyword(s):  
Model Predictive Control ◽  
Dynamic Modeling ◽  
Predictive Control

Application of Fuzzy Logic Control Strategy for Temperature Control in Friction Stir Welding

2013 ◽  
Author(s):  
R. R. Varun Das ◽  
V. Kalaichelvi ◽  
R. Karthikeyan
Keyword(s):  
Fuzzy Logic ◽  
Friction Stir Welding ◽  
Dynamic Modeling ◽  
Temperature Control ◽  
Control Strategy ◽  
Welding Process ◽  
Weld Quality ◽  
Production Environment ◽  
Welding Temperature ◽  
Friction Stir

Friction Stir welding is a solid state joining process that utilizes a rotating non-consumable tool to plastically deform and forge together parent metals. Welding can be controlled either by using Force, Temperature and Traverse or Seam Control methods. The presence of numerous parameters and conditional variations in FSW production environment can adversely affect weld quality making extensive automation processes impossible till date. The weld quality of FSW is closely related to the stability of the welding temperature. For such a non-linear complex process conventional control theory is not an appropriate choice. A fuzzy logic controller with a specially chosen triangular membership function has been suggested as an effective alternative approach. The aim of the present work includes dynamic modeling of a friction stir welding process and the use of a suitable Fuzzy tuned Control Strategy for temperature control. The Temperature at stir zone is measured using a K type Thermocouple. It has a sensitivity of 41μV/°C and also a wide variety of probes are available within its −200° C to +1250 °C range. The thermocouple is used by drilling a hole in the shank of the tool and letting it pass through it. The spindle speed is used as an appropriate variable to control temperature variations. The dynamic modeling and simulations were performed using Matlab whereas the variable values were derived during friction stir welding of aluminum.

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