Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 720188

Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts


Rogante, Massimo; Šimunović, Katica
Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts // ZBORNIK RADOVA/CONFERENCE PROCEEDINGS STROJARSKE TEHNOLOGIJE I KONSTRUKCIJSKI MATERIJALI/MECHANICAL TECHNOLOGIES AND STRUCTURAL MATERIALS / Živković, Dražen (ur.).
Split: Hrvatsko društvo za strojarske tehnologije, 2014. str. 7-14 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)


CROSBI ID: 720188 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts

Autori
Rogante, Massimo ; Šimunović, Katica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
ZBORNIK RADOVA/CONFERENCE PROCEEDINGS STROJARSKE TEHNOLOGIJE I KONSTRUKCIJSKI MATERIJALI/MECHANICAL TECHNOLOGIES AND STRUCTURAL MATERIALS / Živković, Dražen - Split : Hrvatsko društvo za strojarske tehnologije, 2014, 7-14

Skup
4th International Conference on Mechanical Technologies and Structural Materials 2014

Mjesto i datum
Split, Hrvatska, 25.09.2014. - 26.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
AISI 1045 steel; ANOVA; Dry machining; Regression models; Wear

Sažetak
Semi-finishing and rough-shaping dry turning processes were performed on automatic lathe, applying three diverse measuring systems to the single point turning situation. Uncoated sintered carbide inserts were used in both processes, while TiC-TiN coated inserts were only used in the rough-shaping processes. The outputs measured were associated with the state and wear rate of the cutting tools. The behaviour of the useful power output, the tool-holder shank vibrations and the surface roughness vs. pass number were investigated. Wear was assessed by the roughness checks on work pieces in the semi-finishing processes, and by the lathe motor's electrical input together with the vibration level in the rough-shaping processes. In the present work, the single-factor analysis of variance for the responses - useful power, vibration acceleration and surface roughness - has been performed with the main aim to statistically make conclusions of the cutting speed significance and influence on the above mentioned responses. In addition, the regression models, i.e. the equations for the response variable (useful power and vibration acceleration) dependent on input variable (cutting speed) have been derived. Finally, a comparison of the responses, respectively for uncoated and coated inserts for the same cutting speeds (125 and 140 m/min), has been carried out by using the hypothesis testing procedure.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)

Ustanove:
Strojarski fakultet, Slavonski Brod

Profili:

Avatar Url Katica Šimunović (autor)


Citiraj ovu publikaciju:

Rogante, Massimo; Šimunović, Katica
Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts // ZBORNIK RADOVA/CONFERENCE PROCEEDINGS STROJARSKE TEHNOLOGIJE I KONSTRUKCIJSKI MATERIJALI/MECHANICAL TECHNOLOGIES AND STRUCTURAL MATERIALS / Živković, Dražen (ur.).
Split: Hrvatsko društvo za strojarske tehnologije, 2014. str. 7-14 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
Rogante, M. & Šimunović, K. (2014) Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts. U: Živković, D. (ur.)ZBORNIK RADOVA/CONFERENCE PROCEEDINGS STROJARSKE TEHNOLOGIJE I KONSTRUKCIJSKI MATERIJALI/MECHANICAL TECHNOLOGIES AND STRUCTURAL MATERIALS.
@article{article, author = {Rogante, Massimo and \v{S}imunovi\'{c}, Katica}, editor = {\v{Z}ivkovi\'{c}, D.}, year = {2014}, pages = {7-14}, keywords = {AISI 1045 steel, ANOVA, Dry machining, Regression models, Wear}, title = {Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts}, keyword = {AISI 1045 steel, ANOVA, Dry machining, Regression models, Wear}, publisher = {Hrvatsko dru\v{s}tvo za strojarske tehnologije}, publisherplace = {Split, Hrvatska} }
@article{article, author = {Rogante, Massimo and \v{S}imunovi\'{c}, Katica}, editor = {\v{Z}ivkovi\'{c}, D.}, year = {2014}, pages = {7-14}, keywords = {AISI 1045 steel, ANOVA, Dry machining, Regression models, Wear}, title = {Enhanced tool condition monitoring by statistical analysis in automatic machining of AISI 1045 steel using sintered carbide inserts}, keyword = {AISI 1045 steel, ANOVA, Dry machining, Regression models, Wear}, publisher = {Hrvatsko dru\v{s}tvo za strojarske tehnologije}, publisherplace = {Split, Hrvatska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font