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2014
DOI: 10.1002/latj.201400046
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Optimization of Laser Cutting Quality with Design of Experiments

Abstract: Laser cut quality is strongly influenced by the cutting process parameters. In this study, 5 mm mild steel is cut with a high brightness 2.5 kW diode laser. The process parameters are optimized using systematic design of experiment (DOE) to obtain burr free laser cuts with minimal cut edge surface roughness. Varied factors include cutting speed, gas pressure, focus position, nozzle diameter and nozzle distance. The goal of this work is to relate these factors to burr formations and cut edge surface roughness. … Show more

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Cited by 7 publications
(3 citation statements)
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“…Hud Wahab et.al. [5] tested the design of experiments approach while cutting the work samples and the optimization module is also carried out. M.M.…”
Section: Literature Surveymentioning
confidence: 99%
“…Hud Wahab et.al. [5] tested the design of experiments approach while cutting the work samples and the optimization module is also carried out. M.M.…”
Section: Literature Surveymentioning
confidence: 99%
“…Wahab and Groninger formulated the problem of optimizing the laser beam cutting parameters by taking into account, as input factors, the cutting speed, gas pressure, focus position, nozzle diameter and nozzle distance [5]. The burr free laser cuts with minimal cut edge surface roughness were the exit parameters taken into account.…”
Section: /1mentioning
confidence: 99%
“…From relevant literature one can observe that the selection of the laser cutting parameters on the basis of the established relationships between inputs and outputs is performed by formulation of a classical optimization problem with or without some constraints. Subsequently, an optimization method/algorithm is applied aiming to find extreme values of the objective function and corresponding laser cutting parameter values [6][7][8][9]. In contrast to the afore-mentioned approach this paper discusses the selection of the laser beam cutting parameter values based on the process control approach, i.e.…”
Section: Introductionmentioning
confidence: 99%