Optimization of abrasive waterjet cutting by using the CODAS method with regard to interdependent processing parameters

Andrzej Perec (Author), Elżbieta Kawecka-Wyrzykowska (Author), Aleksandra Radomska-Zalas (Author), Frank Pude (Author)

Abstract

The paper shows performance optimization effects of steel machining by abrasive water jet (AWJ). An innovative combinative distance-based assessment method (CODAS) is implemented for the optimization of cutting parameters like pump pressure, feed rate, and abrasive flow rate over cutting depth, and cut kerf surface roughness. The CODAS algorithm is among those based on measuring the distance between a scenario (in this case processing parameters in terms of performance and quality indicators) - and a certain benchmark. A benchmark is a specific hypothetical set of processing parameters devised or determined from available data. To determine the best set of process control parameters, a CODAS approach was performed with some weighting determinations. To set the initial parameters of the weights, it was proposed to calculate based on entropy weight method (EWM), that measures output value dispersion in cutting process. This technique simplifies multiple compound responses by preserving a single response.

Keywords

abrasive waterjet cutting;process optimization;CODAS method;cutting depth;surface roughness welding;copper;metal matrix composite;boron carbide;

Data

Language:	English
Year of publishing:	2023
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	621.9
COBISS:	168489475
ISSN:	0039-2480
Views:	10
Downloads:	0
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary title:	Optimizacija rezanja z abrazivnim vodnim curkom po metodi CODAS ob upoštevanju medsebojno odvisnih parametrov obdelave
Secondary keywords:	rezanje;abrazivni vodni curek;optimizacija procesa;metoda CODAS;globina reza;površinska hrapavost;
Type (COBISS):	Article
Pages:	str. 367-375
Volume:	ǂVol. ǂ69
Issue:	ǂno. ǂ9/10
Chronology:	Sept./Oct. 2023
DOI:	10.5545/sv-jme.2023.647
ID:	20386134