Research article Topical Sections

Modelling and analysis of strain hardening characteristics of sintered steel preforms under cold forging

  • Received: 19 August 2018 Accepted: 18 January 2019 Published: 23 January 2019
  • An attempt has been made to model strain hardening parameters for sintered iron and iron-0.4% carbon steel preforms that are subjected to cold upsetting. The aspect ratios and lubricants are also considered as variables apart from the compositions. The 23 factorial design has been considered to design the experiment and subsequently Yate’s algorithm is utilized to construct the model. The model has further been refined using analysis of variance. The final model adequacy is determined through correlation coefficient which is predicted to follow near unity. Thus the mathematical model can be utilized to predict strain hardening parameters such as strength coefficient, K, and strain hardening exponent, n, subsequently to design the process parameters to inculcate the required strain hardening characteristics within the range of process parameters specifications that are considered in the present investigation.

    Citation: Ananthanarayanan Rajeshkannan, Sumesh Narayan, A.K. Jeevanantham. Modelling and analysis of strain hardening characteristics of sintered steel preforms under cold forging[J]. AIMS Materials Science, 2019, 6(1): 63-79. doi: 10.3934/matersci.2019.1.63

    Related Papers:

  • An attempt has been made to model strain hardening parameters for sintered iron and iron-0.4% carbon steel preforms that are subjected to cold upsetting. The aspect ratios and lubricants are also considered as variables apart from the compositions. The 23 factorial design has been considered to design the experiment and subsequently Yate’s algorithm is utilized to construct the model. The model has further been refined using analysis of variance. The final model adequacy is determined through correlation coefficient which is predicted to follow near unity. Thus the mathematical model can be utilized to predict strain hardening parameters such as strength coefficient, K, and strain hardening exponent, n, subsequently to design the process parameters to inculcate the required strain hardening characteristics within the range of process parameters specifications that are considered in the present investigation.


    加载中


    [1] Rajeshkannan A, Narayan S (2009) Strain hardening behaviour in sintered Fe-0.8%C-1.0%Si-0.8%Cu powder metallurgy preform during cold upsetting. J Eng Manuf 223: 1567–1574.
    [2] Kaku SMY, Khanra AK, Davidson MJ (2018) Effect of deformation on properties of Al/Al-alloy ZrB2 powder metallurgy composite. J Alloy Comp 747: 666–675. doi: 10.1016/j.jallcom.2018.03.088
    [3] Taub AI, Babu SS (2018) Opportunities and challenges for introducing new lightweight metals in transportation. Int J Powder Metall 54: 27–33.
    [4] Mascarenhas J (2004) Powder metallurgy: A major partner of sustainable development. Mater Sci Forum 455: 857–860.
    [5] Straffelini G (2005) Strain hardening behaviour of powder metallurgy alloys. Powder Metall 48: 189–192. doi: 10.1179/003258905X37594
    [6] Luo J, Li M, Yu W, et al. (2010) The variation of strain rate sensitivity exponent and strain hardening exponent in isothermal compression of Ti-6Al-4V alloy. Mater Des 31: 741–748. doi: 10.1016/j.matdes.2009.09.055
    [7] Narayan S, Rajeshkannan A (2011) Strain hardening behaviour in forming of sintered iron-0.35% carbon powder metallurgy preform during cold upsetting. Mater Res 14: 1–7.
    [8] Ebrahimi R, Pardis N (2009) Determination of strain-hardening exponent using double compression test. Mater Sci Eng A 518: 56–60. doi: 10.1016/j.msea.2009.04.050
    [9] Bouaziz O, Zurob H, Chehab B, et al. (2011) Effect of chemical composition on work hardening of Fe-Mn-C TWIP steels. Mater Sci Tech 27: 707–709.
    [10] Narayan S, Rajeshkannan A (2011) Influence of carbon content on strain hardening behaviour of sintered plain carbon steel preforms. J Iron Steel Res Int 18: 33–40.
    [11] Zhang X, Zhang Y, Du S, et al. (2018) Study on the tribological performance of copper based powder metallurgical friction materials with Cu coated or uncoated graphite particles as lubricants. Mater 11: 1–18.
    [12] Rajeshkannan A, Narayan S (2013) Phenomenon of instantaneous work hardening characteristics of sintered cold deformed Cu alloy preforms. Adv Mater Res 651: 295–301. doi: 10.4028/www.scientific.net/AMR.651.295
    [13] Selvakumar N, Narayanasamy R, Pandey KS (2004) Some aspects of cold upset forming of sintered aluminum preforms using different lubricants. Powder Metall Metal Ceramics 43: 349–354. doi: 10.1023/B:PMMC.0000048128.48739.91
    [14] Li W, Park SJ, Suri P, et al. (2009) Investigation on die wear behaviour during compaction of aluminium matrix composite powders. Powder Metall 54: 202–208.
    [15] Narayanasamy R, Anandakrishnan V, Pandey KS (2008) Comparison of workability strain and stress parameters of powder metallurgy steels AISI 9840 and AISI 9845 during cold upsetting. Mater Des 29: 1919–1925. doi: 10.1016/j.matdes.2008.04.023
    [16] Linda MC, John JD, Runze L (2009) Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs. Psychol Methods 14: 202–224. doi: 10.1037/a0015826
    [17] Krishnamurthy L, Sridhara BK, Budan DA (2007) Comparative study on the machinability aspects of aluminium silicon carbide and aluminium graphite composites. Mater Manuf Process 22: 903–908. doi: 10.1080/10426910701451754
    [18] R core team (2013) R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. Available from: http://www.R-project.org/.
    [19] Regti A, Laamari MR, Stiriba SE, et al. (2017) Use of response factorial design for process optimization of basic dye adsorption onto activated carbon derived from Persea species. Microchem J 130: 129–136. doi: 10.1016/j.microc.2016.08.012
    [20] Faraway JJ (2002) Practical Regression and Anova Using R. 1st ed. University of Bath, 168.
    [21] Douglas CM (2017) Design and analysis of experiments, 9th ed., Wiley Publisher, New Jersey, 238–253.
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3588) PDF downloads(1046) Cited by(3)

Article outline

Figures and Tables

Figures(13)  /  Tables(5)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog