Multiple kerf quality optimization in laser cutting of BFRP composite using grey relational based genetic algorithm

In metallurgical processes, metal sheet cutting is usually a basic technological operation that needs to be performed. All other technological operations follow the procedure of metal sheet cutting, with the final aim of manufacturing a final product. Machines used for that basic metal cutting operation shall be reliable, efficient, fast, and relatively easy to work with. While working with a laser, the authors noticed the inefficiency of cutting with nitrogen. Nitrogen bottles got empty too quickly, which caused additional costs. Inefficient, i.e., excessive nitrogen consumption requires a more frequent supply of nitrogen. During the COVID-19 pandemic, nitrogen was not always available, as suppliers shifted to manufacture oxygen bottles for medical needs. Therefore, the authors engaged in finding solutions to reduce the consumption of nitrogen at cutting. The mentioned problem was studied within the experiment that focused on the optimization of nitrogen use during fiber laser cutting, the procedure, and results of which are described in this paper. Specimens of different cutting parameters were prepared and cut to measure their roughness and burr height. The collected data were used to create a mathematical model with an ANOVA table. The experiment resulted in the determination of optimal cutting parameters achieved by the lowest possible cutting gas pressure.

Section: Optimization Of Nitrogen Consumptionmentioning

confidence: 99%

Optimization of nitrogen use efficiency in cutting of austenitic stainless steel by a fiber laser

Duspara¹,

Matysiak²,

Vidaković³

et al. 2022

“…It is necessary to note that some alternatives to desirability function-based approach have been developed, such as gray rational analysis, physical progra-mming, vectorial optimization, quality loss function approach, principal component analysis, process capa-bility index-based aproach, and their hybrid variants [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Some applications of a novel desirability function in simultaneous optimization of multiple responses

Marinković¹

2021

In the framework of multi-response optimization techniques, the optimization methodology based on the desirability function is one of the most popular and most frequently used methodologies by researchers and practitioners in engineering, chemistry, technology and many other fields of science and technique. Numerous desirability functions have been introduced to improve the performance of this optimization methodology. Recently, a novel desirability function for multi-response optimization is proposed, which is smooth, nonlinear, and differentiable, and thus more suitable for applying some of the more efficient gradient-based optimization methods. This paper evaluates the performance of the proposed method through six real examples. After a comparative analysis of the results, it is shown that the proposed method in a certain measure outperforms the other competitive optimization methods.

“…Research is being conducted, the aim of which is to replace either the machining other technologies, e.g. Laser treatment [14]. Because alternative techniques also have their disadvantages, solutions in machining are looked that composites machinability is improved.…”

Section: Introductionmentioning

confidence: 99%

Application of discrete wavelet transform to analysis of cutting forces in turning of composites based on aluminium alloys reinforced with Al2O3 fibres

Karolczak¹

2021

This paper presents the results of experimental tests of the turning of an aluminium composite reinforced with Al2O3 fibres. The tests were carried out using three cutting tools with no cutting fluid and in minimum quantity lubrication (MQL) conditions. The cutting forces were measured. For further analyses the main force component was selected. Its mean values and amplitudes were calculated. Then the registered traces were filtered with Daubechies wavelets. Load constancy factors for the filtered off signals were calculated and compared with the factors calculated from the unfiltered signals. On the basis of this comparison, the level of disturbances and noise during the turning of the aluminium composites was assessed and the effect of the machining conditions on the size of the disturbances was determined. It has been found that the discrete wavelet transform can be a tool aiding the monitoring of the turning of composites.