izpis_h1_title_alt

Modelling and multi-objective optimization of elastic abrasive cutting of C45 and 42Cr4 steels
ID Stefanova Aleksandrova, Irina (Author), ID Stoynova, Anna (Author), ID Aleksandrov, Anatoliy (Author)

.pdfPDF - Presentation file, Download (2,81 MB)
MD5: 3F3C91B930B61E37CADDCCB159BD32C7
URLURL - Source URL, Visit https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/ This link opens in a new window

Abstract
Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process.

Language:English
Keywords:elastic abrasive cutting, multi-objective optimization, generalized utility function, С45 steel, 42Cr4 steel
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2021
Number of pages:Str. 635-648
Numbering:Vol. 67, no. 12
PID:20.500.12556/RUL-134587 This link opens in a new window
UDC:621.9
ISSN on article:0039-2480
DOI:10.5545/sv-jme.2021.7327 This link opens in a new window
COBISS.SI-ID:94050307 This link opens in a new window
Publication date in RUL:19.01.2022
Views:415
Downloads:111
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
ISSN:0039-2480
COBISS.SI-ID:762116 This link opens in a new window

Secondary language

Language:Slovenian
Title:Modeliranje in večciljna optimizacija rezanja jekel C45 in 42Cr4 z elastičnim abrazivnim orodjem
Keywords:rezanje z elastičnim abrazivnim orodjem, rezalni koluti, večciljna optimizacija, posplošena kriterijska funkcija, jeklo С45, premer rezalnega koluta, pritisna sila, vrtilna frekvenca obdelovanca, jeklo 42Cr4

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back