Laser cutting path optimization with minimum heat accumulation

Hajad, Makbul; Tangwarodomnukun, Viboon; Jaturanonda, Chorkaew; Dumkum, Chaiya

doi:10.1007/s00170-019-04455-x

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…Before performing parameter optimization, it is necessary to determine the machining path. In order to ensure the feasibility of the simulation, this paper refers to the work of Makbul Hajad [12] on thermal-influenced machining path optimization. The principle for determining this path is incorporating thermal constraints into the calculations.…”

Section: Simulation and Experimentationmentioning

confidence: 99%

“…Based on the paths generated using four different initial machining parameters in the paper [12], this study selects two sets of different initial machining parameters for optimization. The machining parameters provided in the paper are used as the initial parameters.…”

Section: Simulation and Experimentationmentioning

confidence: 99%

“…It is important to note that further research and experimentation would be necessary to validate and support the ideas presented in those papers. Makbul Hajad et al [12] proposed a thermal conduction model and incorporated it into the optimization of cutting paths, with a constraint on the critical radius of the thermal influence zone. They penalized cutting paths that overlapped with the thermal influence zone to minimize heat accumulation within the workpiece.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are still some instances of heat accumulation that cannot be resolved through path planning alone. Figure 1 [12] illustrates this issue, where the red area represents regions with higher temperatures. Processing in these areas may lead to heat accumulation and affect the quality of the machining.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimization Method of Sheet Metal Laser Cutting Process Parameters under Heat Influence

Wang,

Liao,

et al. 2024

Machines

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To address the issues of workpiece distortion and excessive material melting caused by heat accumulation during laser cutting of thin-walled sheet metal components, this paper proposes a segmented optimization method for process parameters in sheet metal laser cutting considering thermal effects. The method focuses on predetermined perforation points and machining paths. Firstly, an innovative temperature prediction model Tpr,t is established for the nth perforation point during the cutting process, with a prediction error of less than 10%. Secondly, using the PSO-BP-constructed prediction model for laser cutting quality features and an empirical model for processing efficiency features, a multi-objective model for quality and efficiency is generated. The NSGA II algorithm is employed to solve the objective optimization model and obtain the Pareto front. Next, based on the predicted temperature at the perforation point using the model Tpr,t, the TOPSIS decision-making method is applied. Different weights for quality and efficiency are set during the cutting stages where the temperature is below the lower threshold and above the upper threshold. Various combinations of machining parameters are selected, and by switching the parameters during the cutting process, the thermal accumulation (i.e., temperature) during processing is controlled within a given range. Finally, the effectiveness of the proposed approach is verified through actual machining experiments.

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Section: Simulation and Experimentationmentioning

confidence: 99%

Section: Simulation and Experimentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization Method of Sheet Metal Laser Cutting Process Parameters under Heat Influence

Wang,

Liao,

et al. 2024

Machines

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show abstract

“…Moreover, research in this direction has focused on cooling the semi-finished product and removing heat more quickly. [37] Zhu et al focused on laser drilling of composite materials (CFRP). The authors proposed a new laser drilling method that leads to an energy saving of 78.10% [1].…”

Section: Synthesis Of Literaturementioning

confidence: 99%

Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Girdu

Gheorghe

2022

Materials

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The use of laser technology for materials processing has a wide applicability in various industrial fields, due to its proven advantages, such as processing time, economic efficiency and reduced impact on the natural environment. The expansion of laser technology has been possible due to the dynamics of research in the field. One of the directions of research is to establish the appropriate cutting parameters. The evolution of research in this direction can be deepened by determining the efficiency of laser cutting. Starting from such a hypothesis, the study contains an analysis of laser cutting parameters (speed, power and pressure) to determine the linear energy and cutting efficiency. For this purpose, the linear energy and the cutting efficiency were determined analytically, and the results obtained were tested with the Lagrange interpolation method, the statistical mathematical method and the graphical method. The material chosen was Hardox 400 steel with a thickness of 8 mm, due to its numerous industrial applications and the fact that it is an insufficiently studied material. Statistical data processing shows that the maximum cutting efficiency is mainly influenced by speed, followed by laser power. The results obtained reduce energy costs in manufacturing processes that use the CO2 laser. The combinations identified between laser speed and power lead to a reduction in energy consumption and thus to an increase in processing efficiency. Through the calculation relationships established for linear energy and cutting efficiency, the study contributes to the extension of the theoretical and practical basis.

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Intelligent Optimization Algorithms for Solving the Integrated Nesting and Tool Path Problem for CNC Sheet Cutting Machines

Tavaeva,

Petunin

2024

Lecture Notes in Networks and Systems

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Laser cutting path optimization with minimum heat accumulation

Cited by 12 publications

References 18 publications

Optimization Method of Sheet Metal Laser Cutting Process Parameters under Heat Influence

Optimization Method of Sheet Metal Laser Cutting Process Parameters under Heat Influence

Energy Efficiency in CO2 Laser Processing of Hardox 400 Material

Intelligent Optimization Algorithms for Solving the Integrated Nesting and Tool Path Problem for CNC Sheet Cutting Machines

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