Process optimization of laser fusion cutting of multilayer stacks of electrical sheets

Adelmann, Benedikt; Hellmann, Ralf

doi:10.1007/s00170-013-4884-2

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…Thermal stresses formed via heat effect cause an increase in hardness at the cutting edge of electrical steels, changes in the grain structure and a decrease in the magnetic properties. 2,[20][21][22][23][24][25] This situation causes motor efficiency to decrease (Figure 4(a)). In the cutting surface, it is determined that fluctuation occurs due to heat and gas pressure, and accordingly, the average surface roughness is 2.07 mm (Figure 5(b)).…”

Section: Resultsmentioning

confidence: 99%

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Bayraktar

Turgut

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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In this study, by cutting electrical steel stator laminations, one of the most important components of electrical machines by different cutting methods, the effects of these cutting methods on motor efficiency are investigated. As cutting methods, wire electrical discharge machining, punching, laser and abrasive water jet methods are used. Burr formation at the cutting edge leads to short circuits during the steel packaging and causes magnetic losses in steel packages to increase. In addition, depending on the cutting methods, electrical steel lamination insulation layer is damaged as a result of residual and thermal stress formations. These negative conditions cause iron, friction and windage, stator, rotor and additional load losses occurred in the engine to decrease. In order to minimize these cases, electrical steel stator laminations are cut with the cutting parameters determined as a result of pre-cut tests and 5.5-kW induction motors are manufactured. These manufactured motors, according to IEC 60034-2-1-1B method, are subjected to no-load performance tests in addition to six different loading ratios of 25%-50%-75%-100%-115%-125% and constant 50 Hz frequency. As a result of the test measurements, losses occurred in electrical steels cut with abrasive water jet are found to be higher than the other cutting methods. In addition, in terms of the motor performance, the best results are obtained with wire electrical discharge machining cutting method.

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Section: Resultsmentioning

confidence: 99%

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Bayraktar

Turgut

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Section: Introductionmentioning

confidence: 99%

“…9,19,20 Other cut quality characteristics, such as surface roughness, the width of HAZ and dross formation, were also used in optimization studies as primary objective criteria. 6,18,[21][22][23][24][25] From the literature review, it can be observed that the majority of laser cutting optimization research studies examined Nd:YAG laser cutting of aluminum alloys and stainless steel sheets of smaller thicknesses. Also, the majority of previous optimization studies considered simultaneous or separate optimization of two or more objective functions.…”

Section: Introductionmentioning

confidence: 99%

Laser cutting optimization model with constraints: Maximization of material removal rate in CO₂ laser cutting of mild steel

Madić

Mladenović

Gostimirović

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Taking full advantage of what laser cutting technology offers in terms of achieving superb quality cuts at low cost and high production rates requires the optimization of laser cutting parameters. This implies the need to formulate and solve different laser cutting optimization problems. In this article, an optimization model for CO2 laser cutting of mild steel is developed. The laser cutting optimization problem was explicitly formulated as a single-objective optimization problem with five non-linear constraints of the equality, inequality and range type. The goal was to determine the laser cutting parameter values so as to maximize the material removal rate while simultaneously considering practical process constraints related to dross formation, kerf width, perpendicularity deviation, surface roughness and severance energy. Two crossed experimental designs of different resolutions were performed in order to define six mathematical models, which were used in the formulation of the optimization problem. For the purpose of optimization, the exhaustive iterative search algorithm was applied, since it determines solutions whose optimality is guaranteed in the given discrete space of input variable values. The practical usability of the developed laser cutting optimization model and the effectiveness of the applied optimization approach were proved while solving a real case study aimed at the optimization of laser cutting parameters for cutting parts for the furnace industry.

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“…In addition to CO2 laser cutting, the use of fiber-and disc lasers has gained increasing interest and application share [1][2][3][4][5]. With modern fiber-and disc lasers, it is possible to cut metals with high thicknesses in the range of several centimeters, e.g., 30 mm carbon steel using a 6 kW fiber laser [1,4,6,7].…”

Section: Introductionmentioning

confidence: 99%

Optical Cutting Interruption Sensor for Fiber Lasers

Adelmann

Schleier

Neumeier³

et al. 2015

Applied Sciences

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Abstract:We report on an optical sensor system attached to a 4 kW fiber laser cutting machine to detect cutting interruptions. The sensor records the thermal radiation from the process zone with a modified ring mirror and optical filter arrangement, which is placed between the cutting head and the collimator. The process radiation is sensed by a Si and InGaAs diode combination with the detected signals being digitalized with 20 kHz. To demonstrate the function of the sensor, signals arising during fusion cutting of 1 mm stainless steel and mild steel with and without cutting interruptions are evaluated and typical signatures derived. In the recorded signals the piercing process, the laser switch on and switch off point and waiting period are clearly resolved. To identify the cutting interruption, the signals of both Si and InGaAs diodes are high pass filtered and the signal fluctuation ranges being subsequently calculated. Introducing a correction factor, we identify that only in case of a cutting interruption the fluctuation range of the Si diode exceeds the InGaAs diode. This characteristic signature was successfully used to detect 80 cutting interruptions of 83 incomplete cuts (alpha error 3.6%) and system recorded no cutting interruption from 110 faultless cuts (beta error of 0). This particularly high detection rate in combination with the easy integration of the sensor, highlight its potential for cutting interruption detection in industrial applications. OPEN ACCESSAppl. Sci. 2015, 5 545

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Process optimization of laser fusion cutting of multilayer stacks of electrical sheets

Cited by 11 publications

References 14 publications

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Laser cutting optimization model with constraints: Maximization of material removal rate in CO₂ laser cutting of mild steel

Optical Cutting Interruption Sensor for Fiber Lasers

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Process optimization of laser fusion cutting of multilayer stacks of electrical sheets

Cited by 11 publications

References 14 publications

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Effects of different cutting methods for electrical steel sheets on performance of induction motors

Laser cutting optimization model with constraints: Maximization of material removal rate in CO2 laser cutting of mild steel

Optical Cutting Interruption Sensor for Fiber Lasers

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Product

Resources

About

Laser cutting optimization model with constraints: Maximization of material removal rate in CO₂ laser cutting of mild steel