A pulse-width modulation (PWM) LASER power controller for the 3-axis computer numerically-controlled (CNC) LASER machine: Support program for the productivity and competitiveness of the metals and engineering industries

Baldovino, Renann G.; Rogelio, Jayson P.

doi:10.1109/hnicem.2014.7016245

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The power of the laser welding dictates the energy level discharged by the laser beam onto the welding surface, where increased power leads to higher thermal energy absorption, enhancing welding efficiency and penetration depth. Given the high output of continuous wave lasers, pulse width modulation (PWM) is used for precise power management, splitting laser power into peak power and duty cycle [17]. Peak power controls the maximum output in a cycle, influencing the energy density essential for material melting, while the duty cycle, representing the percentage of the laser's operating time within a cycle, affects the heat input and material melting.…”

Section: Analysis Of Problemsmentioning

confidence: 99%

Research on Predicting Welding Deformation in Automated Laser Welding Processes with an Enhanced DEWOA-BP Algorithm

Zhang,

Hu,

et al. 2024

Machines

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Welding stands as a critical focus for the intelligent and digital transformation of the machinery industry, with automated laser welding playing a pivotal role in the sector’s technological advancement. The management of welding deformation in such operations is fundamental, relying on advanced analysis and prediction methods. The endeavor to accurately analyze welding deformation in practical applications is compounded by the interplay of numerous variables, a pronounced coupling effect among these factors, and a reliance on expert intuition. Thus, effective deformation control in automated laser welding operations necessitates the gathering of pre-test laser welding data to develop a predictive approach that accurately reflects real-world conditions and is characterized by improved reliability and stability. To address the technological evolution in automated laser welding, a predictive model based on neural network technology is proposed to map the intricate relationship between process variables and the resulting deformation. At the heart of this approach is the formulation of a predictive model utilizing a back-propagation neural network (BP), with an emphasis on four essential welding parameters: speed, peak power, duty cycle, and defocusing amount. The model’s predictive accuracy is then honed through the application of the whale optimization algorithm (WOA) and the differential evolutionary (DE) algorithm. Finally, extensive testing in an automated laser welding experimental setup is conducted to validate the accuracy and reliability of the proposed prediction model. It is demonstrated through these experiments that the deformation prediction model, enhanced by the DEWOA-BP neural network, accurately forecasts the relationship between laser welding parameters and the induced deformation, maintaining a prediction error margin of ±0.1mm. The model is employed to fulfill the requirements for a pre-welding quality evaluation, thereby facilitating a more calculated and informed approach to welding operations. This method of intelligent prediction is not only crucial for the intelligent transformation of laser welding but also holds significant implications for traditional machining technologies such as milling, grinding, and spraying. It offers innovative ideas and methods that are pivotal for the industrial revolution and technological advancement of the traditional machining industry.

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Section: Analysis Of Problemsmentioning

confidence: 99%

Research on Predicting Welding Deformation in Automated Laser Welding Processes with an Enhanced DEWOA-BP Algorithm

Zhang,

Hu,

et al. 2024

Machines

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“…A spindle is an important tool in the engraving process. Based on [3], [4], for the engraving process for any 3D design, there are three or more progressive steps are frequently used in 3D machining. Depending on the material and software available, each of these is implemented using a variety of basic and complicated processes.…”

Section: Upgraded Cnc Router Machinementioning

confidence: 99%

An Interim Study of Integrating Spindle, Laser, and Plotter in a CNC Router Machine

Jaafar

Wahab

Bidin

et al. 2022

ESL

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Although there are so many CNC routers that have been created all around the world, when this manuscript was written, an integrated CNC router with multi different functions was still not common. In this work, we proposed, designed, fabricated, and evaluated a low-cost CNC Router machine that can perform numerous tasks (i.e., spindle engraving, laser, and plotter). Although we first employed a market-available CNC machine, we have developed, changed, and improved almost everything of it so that it can run and go through multiple processes in a single coding process with higher accuracy and efficiency. As a result, the proposed machine is adjusted to conduct an integrated operation without making any significant changes. Through the calibration process, we have validated that the proposed system is capable of performing high-accuracy processes. The proposed CNC router has a wide range of applications and can conduct a variety of engraving procedures, including plotting. Furthermore, when the machine is running, the project runs thru the checks on the accuracy analysis through several processes to ensure the accurate accuracy of the three available processes (spindle, laser, and plotter).

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Experimental investigation of PWM laser standoff distance control for power diode based LBM

Vasanth¹,

Muthuramalingam²,

Prakash³

et al. 2023

Optics & Laser Technology

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A pulse-width modulation (PWM) LASER power controller for the 3-axis computer numerically-controlled (CNC) LASER machine: Support program for the productivity and competitiveness of the metals and engineering industries

Cited by 4 publications

References 11 publications

Research on Predicting Welding Deformation in Automated Laser Welding Processes with an Enhanced DEWOA-BP Algorithm

Research on Predicting Welding Deformation in Automated Laser Welding Processes with an Enhanced DEWOA-BP Algorithm

An Interim Study of Integrating Spindle, Laser, and Plotter in a CNC Router Machine

Experimental investigation of PWM laser standoff distance control for power diode based LBM

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