Model-Based Temperature Feedback Control of Laser Cladding Using High-Resolution Hyperspectral Imaging

2017 ◽  
Vol 22 (6) ◽  
pp. 2714-2722 ◽  
Author(s):  
Wim Devesse ◽  
Dieter De Baere ◽  
Michael Hinderdael ◽  
Patrick Guillaume
2017 ◽  
Vol 2017 (8) ◽  
pp. 108-114
Author(s):  
Pierre Seroul ◽  
Mathieu Hébert ◽  
Marie Cherel ◽  
Romain Vernet ◽  
Raphael Clerc ◽  
...  

2014 ◽  
Vol 56 ◽  
pp. 211-219 ◽  
Author(s):  
Wim Devesse ◽  
Dieter De Baere ◽  
Patrick Guillaume

2016 ◽  
Vol 60 (6) ◽  
pp. 604041-604047 ◽  
Author(s):  
Pierre Seroul ◽  
Mathieu H�bert ◽  
Marie Cherel ◽  
Romain Vernet ◽  
Raphael Clerc ◽  
...  

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Virpi Junttila ◽  
Basanta Gautam ◽  
Bhaskar Singh Karky ◽  
Almasi Maguya ◽  
Katri Tegel ◽  
...  

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 388
Author(s):  
Waheed Ur Rehman ◽  
Xinhua Wang ◽  
Yiqi Cheng ◽  
Yingchun Chen ◽  
Hasan Shahzad ◽  
...  

Research in the field of tribo-mechatronics has been gaining popularity in recent decades. The objective of the current research is to improve static/dynamics characteristics of hydrostatic bearings. Hydrostatic bearings always work in harsh environmental conditions that effect their performance, and which may even result in their failure. The current research proposes a mathematical model-based system for hydrostatic bearings that helps to improve its static/dynamic characteristics under varying conditions of performance-influencing variables such as temperature, spindle speed, external load, and clearance gap. To achieve these objectives, the capillary restrictors are replaced with servo valves, and a mathematical model is developed along with robust control design systems. The control system consists of feedforward and feedback control techniques that have not been applied before for hydrostatic bearings in the published literature. The feedforward control tries to remove a disturbance before it enters the system while feedback control achieves the objective of disturbance rejection and improves steady-state characteristics. The feedforward control is a trajectory-based controller and the feedback controller is a sliding mode controller with a PID sliding surface. The particle swarm optimization algorithm is used to tune the 6-dimensional vector of the tuning parameters with multi-objective performance criteria. Numerical investigations have been carried out to check the performance of the proposed system under varying conditions of viscosity, clearance gap, external load and the spindle speed. The comparison of our results with the published literature shows the effectiveness of the proposed system.


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