2.6 Cutting: Modeling and data

Schulz, Wolfgang; Hertzler, C.

doi:10.1007/10877768_8

Cited by 2 publications

(1 citation statement)

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“…4 It represents the energy input per unit length related to the sheet thickness, that is needed to melt the material of the kerf volume. 38 Based on machining data tables for CO 2 laser fusion cutting of AISI 304 stainless steel sheets with the thickness from 1 to 6 mm, 39 the recommended severance energies for ensuring high quality cuts are in the range from 14.4 to 19.3 J/mm 2 . Taking into account the aforementioned, one can formulate the following optimization problem: For solving the developed laser cutting optimization problem with constraints formulated in equation (5), a software tool for the laser cutting process control and optimization was used.…”

Section: Resultsmentioning

confidence: 99%

Analysis of process efficiency in laser fusion cutting and some single- and multi-objective optimization aspects

Madić

Gadallah

Petković

2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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For an efficient use of laser cutting technology, it is of great importance to analyze the impact of process parameters on different performance indicators, such as cut quality criteria, productivity criteria, costs as well as environmental performance criteria (energy and resource efficiency). Having this in mind, this study presents the experimental results of CO2 laser fusion cutting of AISI 304 stainless steel using nitrogen, with the aim of developing a semi-empirical mathematical model for the estimation of process efficiency as an important indicator of the achievable energy transfer efficiency in the cutting process. The model was developed by relating the theoretical power needed to melt the volume per unit time and used laser power, where the change of kerf width was modeled using an empirical power model in terms of laser cutting parameters such as laser power, cutting speed, and focus position. The obtained results indicated the dominant effect of the focus position on the change in process efficiency, followed by the cutting speed and laser power. In addition, in order to maximize process efficiency and simultaneously ensure high cut quality without dross formation, a laser cutting optimization problem with constraints was formulated and solved. Also, a multi-objective optimization problem aimed at simultaneous optimization of process efficiency and material removal rate was formulated and solved, where the determined set of Pareto non-dominated solutions was analyzed by using the entropy method and multi-criteria decision analysis method, that is, the Technique for Order of Preference by Similarity to Ideal Solution. The optimization results revealed that in order to enhance process efficiency and material removal rate, while ensuring high cut quality without dross formation, focusing the laser beam deep into the bulk of material is needed with particular trade-offs between laser power and cutting speed levels at high pressure levels of nitrogen.

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Section: Resultsmentioning

confidence: 99%