Predictive Control for Manual Plasma Arc Pipe Welding

Li, Xiangrong; Zhang, Yuming

doi:10.1115/1.4027627

Cited by 11 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Controlled outputs are generated by minimizing a cost function constructed by calculating discrepancies between predicted responses and desired reference trajectories within a finite time interval. There are several bead geometry control systems that employ an MPC approach in conventional welding areas (Li & Zhang, 2014;Stoyanov & Bailey, 2017). MPC approaches have also been employed in non-metal AM, powder-based metal AM and conventional gas tungsten arc welding (GTAW) processes to achieve a similar action of layer-by-layer control (Inyang-Udoh et al, 2020;Liu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Polden

et al. 2022

J Intell Manuf

View full text Add to dashboard Cite

Improving the geometric accuracy of the deposited component is essential for the wider adoption of wire arc additive manufacturing (WAAM) in industries. This paper introduces an online layer-by-layer controller that operates robustly under various welding conditions to improve the deposition accuracy of the WAAM process. Two control strategies are proposed and evaluated in this work: A PID algorithm and a multi-input multi-output model-predictive control (MPC) algorithm. After each layer of deposition, the deposited geometry is measured using a laser scanner. These measurements are compared against the CAD model, and geometric errors are then compensated by the controller, which generates a new set of welding parameters for the next layer. The MPC algorithm, combined with a linear autoregressive (ARX) modelling process, updates welding parameters between successive layers by minimizing a cost function based on sequences of input variables and predicted responses. Weighting coefficients of the ARX model are trained iteratively throughout the manufacturing process. The performance of the designed control architecture is investigated through both simulation and experiments. Results show that the real-time control performance is improved by increasing the complexity of implemented control algorithm: controlled geometric fluctuations in the test component were reduced by 200% whilst maintaining fluctuations within a 3 mm limit under various welding conditions. In addition, the adaptiveness of designed control strategy is verified by accurately controlling the fabrication of a part with complex geometry.

show abstract

Section: Introductionmentioning

confidence: 99%

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Polden

et al. 2022

J Intell Manuf

View full text Add to dashboard Cite

show abstract

“…15,16 Predictive control of manual plasma arc pipe welding and bilateral model predictive control of plasma keyhole pipe arc welding processes have been studied and confirmed by experiments. 17,18 There is no comparative study done on the MPAW and TIG welding processes based on weld characterisation of thin SS 304 L sheets.…”

Section: Introductionmentioning

confidence: 99%

Analysis of weld characteristics of micro-plasma arc welding and tungsten inert gas welding of thin stainless steel (304L) sheet

Batool

Khan

Jaffery

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part L:

View full text Add to dashboard Cite

This research work focuses on comparison of the weld geometry, distortion, microstructure and mechanical properties of thin SS 304 L sheets (0.8 mm thickness) welded using micro-plasma arc welding and tungsten inert gas welding process. Initial experiments were performed to identify suitable processing parameters for micro-plasma arc welding and tungsten inert gas welding processes. Microstructures of welds were analysed using scanning electron microscopy, X-ray diffraction and energy dispersive spectroscopy. The results indicate that the joint produced by micro-plasma arc welding exhibited higher tensile strength, higher ductility, smaller dendrite size and a narrow heat affected zone. Samples welded by micro-plasma arc welding process had lower distortion as compared to that welded by tungsten inert gas process. Micro-plasma arc welding was shown to be the suitable process for welding of thin 304 L sheets owing to its higher welding speed and better weld properties as compared to the tungsten inert gas welding process.

show abstract

Weld penetration control of wire-filled pulsed gas tungsten arc welding of pipe in the horizontal position

Wang

Zeng

et al. 2023

Weld World

View full text Add to dashboard Cite

Predictive Control for Manual Plasma Arc Pipe Welding

Cited by 11 publications

References 14 publications

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Analysis of weld characteristics of micro-plasma arc welding and tungsten inert gas welding of thin stainless steel (304L) sheet

Weld penetration control of wire-filled pulsed gas tungsten arc welding of pipe in the horizontal position

Contact Info

Product

Resources

About