Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Input-State-Output Representations of Concatenated 2D Convolutional Codes Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Milling Parameters Optimization for Surface Quality

Authors : Tânia Dias, Nuno Paulo, Luís Queijo, Hernâni Reis Lopes, Manuel Braz César, João Eduardo Ribeiro

Published in: CONTROLO 2016

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The Taguchi method is a powerful tool to experiment design optimization and is used in this work to optimize the cutting parameters, which reduce the chatter effect on surface quality. The present study includes feed per tooth, cutting speed, radial and axial depth of cut as control factors. An orthogonal array of L16 was used with the ANOVA analyses in order to identify the significant factors associated to the surface roughness and chatter vibration in three different directions. The optimal cutting combination for the surface finishing was determined through the analysis of surface roughness. This are correlated with the vibrations levels recorded during the experimental tests. The study was carry-out by machining a hardened steel block with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.05 µm which corresponded to a minimum of the mean vibration level.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Fuzzy Based Control of a Vehicle Suspension System Using a MR Damper
next chapter Automation and Control in Greenhouses: State-of-the-Art and Future Trends
Literature
1.
Quintana, G., Ciurana, J.: Chatter in machining processes: a review. Int. J. Mach. Tools Manuf 51(5), 363–376 (2011)CrossRef
2.
3.
Devillez, A., Dudzinski, D.: Tool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiers. Mech. Syst. Signal Process. 21(1), 441–456 (2007)CrossRef
4.
Ahmadi, K., Ismail, F.: Machining chatter in flank milling. Int. J. Mach. Tools Manuf. 50(1), 75–85 (2010)CrossRef
5.
Dombovari, Z., Altintas, Y., Stepan, G.: The effect of serration on mechanics and stability of milling cutters. Int. J. Mach. Tools Manuf 50(6), 511–520 (2010)CrossRef
6.
Roukema, J.C., Altintas, Y.: Time domain simulation of torsional-axial vibrations in drilling. Int. J. Mach. Tools Manuf 46(15), 2073–2085 (2006)CrossRef
7.
Mehrabadi, I.M., Nouri, M., Madoliat, R.: Investigating chatter vibration in deep drilling, including process damping and the gyroscopic effect. Int. J. Mach. Tools Manuf. 49(12–13), 939–946 (2009)CrossRef
8.
Hassui, A., Diniz, A.E.: Correlating surface roughness and vibration on plunge cylindrical grinding of steel. Int. J. Mach. Tools Manuf. 43, 855–862 (2003)CrossRef
9.
Gradisek, J., Baus, A., Govekar, E., Klocke, F., Grabec, I.: Automatic chatter detection in grinding. Int. J. Mach. Tools Manuf. 43(14), 1397–1403 (2003)CrossRef
10.
Atabey, F., Lazoglu, I., Altintas, Y.: Mechanics of boring processes—part I. Int. J. Mach. Tools Manuf. 43(5), 463–476 (2003)CrossRef
11.
Moetakef-Imani, B., Yussefian, N.Z.: Dynamic simulation of boring process. Int. J. Mach. Tools Manuf. 49(14), 1096–1103 (2009)CrossRef
12.
Axinte, D.A., Gindy, N., Fox, K., Unanue, I.: Process monitoring to assist the workpiece surface quality in machining. Int. J. Mach. Tools Manuf. 44(10), 1091–1108 (2004)CrossRef
13.
Axinte, D.A.: An experimental analysis of damped coupled vibrations in broaching. Int. J. Mach. Tools Manuf. 47(14), 2182–2188 (2007)CrossRef
14.
Wiercigroch, M., Krivtsov, A.M.: Frictional chatter in orthogonal metal cutting. Philos. Trans.: Math. Phys. Eng. Sci. (Series A) 359(1781), 713–738 (2001)CrossRefMATH
15.
Wiercigroch, M., Budak, E.: Sources of nonlinearities, chatter generation and suppression in metal cutting. Philos. Trans. Royal Soc. Lond. 359, 663–693264 (2001)CrossRefMATH
16.
Tobias, S.A.: Machine Tools Vibrations. Wiley, New York (1965)
17.
Tlusty, J., Polacek, M.: The stability of machine tools against self-excited vibrations in machining. Int. Res. Product. Eng. 465–474 (1963)
18.
Jang, D.Y., Choi, Y., Kim, H., Hsiao, A.: Study of the correlation between surface roughness and cutting vibrations to develop an on-line roughness measuring technique in hard turning. Int. J. Mach. Tools Manuf. 36(4), 453–464 (1996)CrossRef
19.
Chen, J., Fang, Q., Lib, P.: Effect of grinding wheel spindle vibration on surface roughness and subsurface damage in brittle material grinding. Int. J. Mach. Tools Manuf. 91, 12–23 (2015)CrossRef
20.
Rao, K.V., Murthy, B.S.N., Rao, N.M.: Prediction of cutting tool wear, surface roughness and vibration of work piece in boring of AISI 316 steel with artificial neural network. Measurement 51, 63–70 (2014)CrossRef
21.
Budak, E., Tekeli, A.: Maximizing chatter free material removal rate in milling through optimal selection of axial and radial depth of cut Pairs. CIRP Ann. Manuf. Technol. 54(1), 353–356 (2005)CrossRef
22.
Tang, W.X., Song, Q.H., Yu, S.Q., Sun, S.S., Li, B.B., Du, B., Ai, X.: Prediction of chatter stability in high-speed finishing end milling considering multi-mode dynamics. J. Mater. Process. Technol. 209(5), 2585–2591 (2009)CrossRef
23.
Ross, P.J.: Taguchi Techniques for Quality Engineering, 2nd edn. McGraw-Hill, New York (1996)
Metadata
Title
Milling Parameters Optimization for Surface Quality
Authors
Tânia Dias
Nuno Paulo
Luís Queijo
Hernâni Reis Lopes
Manuel Braz César
João Eduardo Ribeiro
Copyright Year
2017
Book
CONTROLO 2016

Print ISBN: 978-3-319-43670-8

Electronic ISBN: 978-3-319-43671-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-43671-5_49