Densification Study of Fe-0.8%C Powder Metallurgy Steel with the Effect of Mo under Cold Upsetting Using Surface Plots and ANOVA

Ananthanarayanan, Rajeshkannan and Jeevanantham, A.K. and Seenivasagam, Devi R. and Ravichandran, Rajeeth Kumar and Rajkumar, Shashank (2025) Densification Study of Fe-0.8%C Powder Metallurgy Steel with the Effect of Mo under Cold Upsetting Using Surface Plots and ANOVA. In: Manufacturing Strategies and Systems. Technologies, Processes, and Machine Tools . CRC Press, Boca Raton, pp. 3-16. ISBN 9781032725086

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Abstract

The porosity presence in the primary operations (compaction and sintering) of powder metallurgy (P/M) is inevitable. However, many secondary operations are carried out to densify the product, as the densification and the mode of achieving densification govern the mechanical strength of the component. The study investigates the densification characteristics of Fe-0.8%C steel alloy with varying Mo content (0–2%) under cold upsetting conditions, utilizing surface plots and analysis of variance (ANOVA) for analysis to understand the influence of Mo on densification behavior across different strains. The methodology involves blending iron, carbon and molybdenum powders, compacting them into preforms and subjecting these to incremental cold deformation. Densification is assessed in terms of axial, hoop, mean and effective strains. The novelty lies in the application of 3D surface and 2D contour plots to visualize the densification trends and in employing ANOVA to identify significant factors and their interactions. The findings reveal that densification increases with all strain types and Mo variations, with the axial strain contributing the most. Mo addition shows negligible densification impact at 1% but significant effects at 1.5% and 2%, especially at higher strains. The study concludes that while strain types significantly affect densification, Mo's influence is notable primarily in conjunction with axial and effective strains. The ANOVA model demonstrates high predictive accuracy, offering valuable insights for optimizing densification in powder metallurgy processes. This research contributes to improving the production of high-density steel components in the automotive and construction industries.

Item Type:	Book Chapter
Uncontrolled Keywords:	n/a
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	School of Information Technology, Engineering, Mathematics and Physics (STEMP)
Depositing User:	Rajeshkannan Ananthanarayanan
Date Deposited:	07 Aug 2025 02:46
Last Modified:	07 Aug 2025 02:46
URI:	https://repository.usp.ac.fj/id/eprint/15054

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