Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » International Journal of Industrial Engineering Computations » Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1099)
  • ESM (421)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (37)
  • SCI (36)

IJIEC Volumes

    • Volume 1 (17)
      • Issue 1 (9)
      • Issue 2 (8)
    • Volume 2 (68)
      • Issue 1 (12)
      • Issue 2 (20)
      • Issue 3 (20)
      • Issue 4 (16)
    • Volume 3 (76)
      • Issue 1 (9)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (12)
      • Issue 5 (20)
    • Volume 4 (50)
      • Issue 1 (14)
      • Issue 2 (10)
      • Issue 3 (12)
      • Issue 4 (14)
    • Volume 5 (47)
      • Issue 1 (13)
      • Issue 2 (12)
      • Issue 3 (12)
      • Issue 4 (10)
    • Volume 6 (39)
      • Issue 1 (7)
      • Issue 2 (12)
      • Issue 3 (10)
      • Issue 4 (10)
    • Volume 7 (47)
      • Issue 1 (10)
      • Issue 2 (14)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 8 (30)
      • Issue 1 (9)
      • Issue 2 (7)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 9 (32)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (10)
    • Volume 10 (34)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (8)
    • Volume 11 (36)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 12 (29)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (6)
    • Volume 13 (41)
      • Issue 1 (10)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (13)
    • Volume 14 (50)
      • Issue 1 (11)
      • Issue 2 (15)
      • Issue 3 (9)
      • Issue 4 (15)
    • Volume 15 (55)
      • Issue 1 (19)
      • Issue 2 (15)
      • Issue 3 (12)
      • Issue 4 (9)
    • Volume 16 (75)
      • Issue 1 (12)
      • Issue 2 (15)
      • Issue 3 (19)
      • Issue 4 (29)
    • Volume 17 (51)
      • Issue 1 (21)
      • Issue 2 (30)

Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
optimization(87)
Sustainability(87)
Artificial intelligence(86)
Financial performance(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Knowledge Management(79)
Social media(78)
Factor analysis(78)


» Show all keywords

Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Haitham M. Alzoubi(28)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

Countries

Iran(2198)
Indonesia(1311)
Jordan(815)
India(798)
Vietnam(510)
Saudi Arabia(478)
Malaysia(446)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(115)
Turkey(112)
Ukraine(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(86)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 5 Issue 2 pp. 295-304 , 2014

Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel Pages 295-304 Right click to download the paper Download PDF

Authors: Ashok Kumar Sahoo

DOI: 10.5267/j.ijiec.2013.11.001

Keywords: ANOVA, Coated carbide, Regression, Surface roughness, Taguchi

Abstract: The objective of the study is to assess the performance of multilayer coated carbide insert in the machining of hardened AISI D2 steel (53 HRC) using Taguchi design of experiment. The experiment was designed based on Taguchi L27 orthogonal array to predict surface roughness. The S/N ratio and optimum parametric condition are analysed. The analysis of variance has also been carried out to predict the significant factors affecting surface roughness. Based on Taguchi S/N ratio and ANOVA, feed is the most influencing parameter for surface roughness followed by cutting speed whereas depth of cut has least significant from the experiments. In regression model, the value of R2 being 0.98 indicates that 98 % of the total variations are explained by the model. It indicates that the developed model can be effectively used to predict the surface roughness on the machining of D2 steel with 95% confidence intervals.

How to cite this paper
Sahoo, A. (2014). Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel.International Journal of Industrial Engineering Computations , 5(2), 295-304.

Refrences
Aggarwala, A., Singh, H., Kumar, P., & Singh, M. (2008). Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique-A comparative analysis. Journal of Materials Processing Technology, 200, 373-384.

Basak, S., Dixit, U.S., & Davim, J.P. (2007). Application of radial basis function neural networks in optimization of hard turning of AISI D2 cold-worked tool steel with a ceramic tool. Proc. IMechE, Part B: J. Engineering Manufacture, 221, 987-998.

Davim, J.P., & Figueira, L. (2007). Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Materials & Design, 28(4), 1186–1191.

Gaitonde, V.N., Karnik, S.R., Figueira, L., & Davim, J.P. (2009). Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts. International Journal of Refractory Metals & Hard Materials, 27, 754-763.

Noordin, M.Y., Venkatesh, V.C., Chan, C.L., & Abdulla, A. (2001). Performance evaluation of cemented carbide tools in turning AISI 1010 steel. Journal of Materials Processing Technology, 116, 16-21.

Ozel, T., Karpat, Y., Figueira, L., & Davim, J.P. (2007). Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. Journal of Materials Processing Technology, 189, 192-198.

Ozel, T., & Karpat, Y. (2005). Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks. International Journal of Machine Tools & Manufacture, 45, 467-479.

Paiva, A.P., Ferreira, J.R., & Balestrassi, P.P. (2007). A multivariate hybrid approach applied to AISI 52100 hardened steel turning optimization. Journal of Materials Processing Technology, 189, 26-35.

Quiza, R., & Figueira, L., & Davim, J.P. (2008). Comparing statistical models and artificial neural networks on predicting the tool wear in hard machining D2 AISI steel. International Journal of Advanced Manufacturing Technology, 37, 641-648.

Ross, P.J. (2005). Taguchi techniques for quality engineering. 2nd edition, Tata Mc Graw hill pub.
Sahin, Y. (2009). Comparison of tool life between ceramic and cubic boron nitride (CBN) cutting tools when machining hardened steels. Journal of Materials Processing Technology, 209, 3478–3489.

Sahoo, A.K., & Sahoo, B. (2012). Experimental investigations on machinability aspects in finish hard turning of AISI 4340 steel using uncoated and multilayer coated carbide inserts. Measurement, 45, 2153-2165.

Sahoo, A.K., & Sahoo, B. (2011). Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach. International Journal of Industrial Engineering Computations, 2, 819-830.

Sahoo, A.K., & Sahoo, B. (2013). Experimental investigation on flank wear and tool life, cost analysis and mathematical model in turning hardened steel using coated carbide inserts. International Journal of Industrial Engineering Computations, 4, 571-578.

Sahoo, A.K., Orra, K., & Routra, B.C. (2013). Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert. International Journal of Industrial Engineering Computations, 4, 469-478.

Sahoo, A.K., & Mohanty, T. (2013). Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation. International Journal of Industrial Engineering Computations, 4, 325-336.

Sahoo, A.K., Pradhan, S., & Rout, A.K. (2013). Development and machinability assessment in turning Al/SiCp-metal matrix composite with multilayer coated carbide insert using Taguchi and statistical techniques. Archives of Civil and Mechanical Engineering, 13, 27-35.

Sahoo, A.K., & Sahoo, B. (2013). Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-I (An experimental approach). Measurement, 46, 2854-2867.

Sahoo, A.K., & Sahoo, B. (2013). Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach). Measurement, 46, 2868-2884.

Singh, D., & Rao, P.V. (2007). A surface roughness prediction model for hard turning process. International Journal of Advanced Manufacturing Technology, 32, 1115–1124.

Thamizhmanii, S., Bin Omar, B., Saparudin, S., & Hasan, S. (2008). Surface roughness analyses on hard martensitic stainless steel by turning. Journal of Achievements in Materials and Manufacturing Engineering, 26 (2) 139-142.

Vikram Kumar, CH.R., Kesavan Nair, P. & Ramamoorthy, B. (2008). Performance of TiCN and TiAlN tools in machining hardened steel under dry, wet and minimum fluid application. International Journal of Machining and Machinability of Materials, 3 (1/2), 133-142.
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: International Journal of Industrial Engineering Computations | Year: 2014 | Volume: 5 | Issue: 2 | Views: 3037 | Reviews: 0

Related Articles:
  • Experimental investigation on flank wear and tool life, cost analysis and m ...
  • Application of response surface methodology on investigating flank wear in ...
  • Some studies on cutting force and temperature in machining Ti-6Al-4V alloy ...
  • Effect of machining conditions on MRR and surface roughness during CNC Turn ...
  • Surface roughness model and parametric optimization in finish turning using ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com