Optimization of Process Parameters of Al-10% Cu Compacts through Powder Metallurgy

Pravin, T.; Sadhasivam, M.; Raghuraman, S.

doi:10.4028/www.scientific.net/amm.813-814.603

Cited by 40 publications

(3 citation statements)

References 6 publications

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“…The remaining 33 articles were screened based on the full article content, where 10 articles were excluded based on the reasons as stated in figure 1. Articles from Scopus database, 7 were excluded [29][30][31][32][33][34][35] and 3 were excluded from ProQuest [36][37][38].…”

Section: Screening Processmentioning

confidence: 99%

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Lingam,

Ananthanarayanan,

Jeevanantham

et al. 2024

Eng. Res. Express

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Powder metallurgy offers several advantages over traditional manufacturing methods, such as improved material utilization and waste reduction. The powder metallurgy process involves four primary steps, metal powder preparation, mixing, compaction, and sintering, followed by secondary operations such as forging, rolling, and extrusion. However, existing studies have predominantly focused on refining the primary processes, neglecting secondary processes that could further enhance mechanical properties. A systematic literature review following the Preferred Reporting Items for Systematic Review and Meta-Analysis method identified twenty-three relevant articles over a ten-year period, highlighting three main optimization methods, that are, the Taguchi method, Taguchi-based Grey Relational Analysis, and Response Surface Methodology. These methods effectively reduce experimental trials and optimize key parameters like compaction pressure and weight percentage, which significantly influence mechanical properties. The review emphasizes the key powder metallurgy process parameters that have a significant impact on mechanical properties, becoming the primary targets for optimization. It offers a focused examination of which process parameters require thorough investigation for optimization and the suitable optimization method to achieve optimal outcomes, whether for single or multiple responses, thereby enhancing the manufacturing process. However, inconsistencies in parameter significance across studies indicate the material-dependent nature of powder metallurgy materials. The review also identifies a gap in the literature regarding secondary process optimization and comparative analyses of optimization methods. Future research should explore optimizing secondary processes in powder metallurgy, conduct comparative studies of different optimization methods, and develop novel approaches for optimization to further enhance mechanical properties and process efficiency.

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Section: Screening Processmentioning

confidence: 99%

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Lingam,

Ananthanarayanan,

Jeevanantham

et al. 2024

Eng. Res. Express

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“…Zakir Hussain et al [19] examined the powder metallurgy process parameters of diamond-copper composites in terms of compaction pressure, sintering temperature, and holding time and reported that compaction pressure 525 MPa, sintering temperature 900 °C, and holding time 2 h are the most influencing parameters. Pravin et al [20] utilized Taguchi system to optimize the process parameters of Al-10% Cu composites, and the process parameters are compaction load, lubricant, sintering atmosphere, and dwell time and stated that lubricant is a major influencing parameter. Ravichandran and Anandakrishnan [21] examined the PM parameters to obtain higher strength coefficient in aluminium matrix composite via Taguchi method and described that compaction pressure and sintering temperature are major substantial parameters.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on Powder Metallurgy Process Parameters of Ball‐Milled AA8079‐B₄C Nanostructured Composites via Taguchi Grey Relational Analysis

Meignanamoorthy¹,

Mohanavel

Ravichandran

et al. 2022

Journal of Nanomaterials

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This work made an attempt to optimize the powder metallurgy (PM) process parameters of ball-milled AA8079-B4C composites via Taguchi grey relational analysis to attain better mechanical properties. The process parameters are reinforcement weight percentage, compaction pressure, sintering temperature, and sintering time, and the output responses are micro Vickers hardness and compressive strength. The different reinforcement weight percentages are AA8079-x wt.%B4C ( X = 5 , 10, and 15 wt.%). The nanograin-refined green compacts were made at various compaction pressure 200 MPa, 300 MPa, and 400 MPa. The various sintering temperatures are 375°C, 475°C, and 575°C at different sintering times 1 h, 2 h, and 3 h. Taguchi L27 orthogonal array was utilized to examine the powder metallurgy process parameters. It could be understood from the results that higher reinforcement weight percentage, compaction pressure, and sintering temperature were determined as appropriate parameters to obtain maximum hardness and compressive strength.

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“…Pravin et al fabricated Al-10% copper powder through the powder metallurgy route and evaluated maximum process efficiency via the Taguchi technique. 49 Arifin and Azharuddin investigated the effect of powder-processing parameters on the hardness of fly ash/Al alloy composite through the Taguchi technique. 50 They found that the factors, namely, grain size, holding time, and compacting pressure significantly affected the hardness value of the composite.…”

Section: Introductionmentioning

confidence: 99%

Optimization of MWCNTs/Al nanocomposite fabrication process parameters for mass density and hardness

Hussain

Khan

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Engineering materials and their development are essential for a civilized society, and they have always played a key role in the industrialization of a country. The performance of materials can be increased by selecting appropriate fabrication process parameters. In this paper, the effect of fabrication processing parameters on multi-responses of lightweight material, namely, functionalized multiwalled carbon nanotubes-aluminum nanocomposite have been investigated through Taguchi-based grey relational analysis. Ethanol wt. %, milling time, compaction pressure, and sintering temperature were considered controlled parameters. Phase, surface morphology, and chemical compositions of the nanocomposite have been analyzed by X-ray diffraction, scanning electron microscopy, and energy-dispersive X-ray techniques. The scanning electron microscope images revealed that the optimal parameter combination is essential for decreasing void and crack formation during the powder metallurgy process and increasing the material performance index. Grey relational analysis was performed to evaluate optimal sample fabrication processing parameters by using grey relational grade as performance index measurement. The most influential parameter was investigated using main effect plots, interaction plots, contour plots, and analysis of variance. The results show that the optimal combination of sample fabrication parameters is A1B2C3D3. The results also show that the compaction pressure has a stronger correlation to the responses with a 46.92% contribution followed by sintering temperature. The % error between the predicted and experimental grey relational grades at the optimum-level combination is 1.83%. The Monte Carlo simulation data distribution plots show that the ranges of experimental mass density and hardness values are consistent with estimated simulated model values. Further, a regression equation has also been developed to establish the predictive model for the grey relational grade. The model analysis shows that the predictive model is adequate for evaluating grey relational grades. Therefore, this study confirms that the proposed approach can be a useful tool for improving materials’ performance.

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Optimization of Process Parameters of Al-10% Cu Compacts through Powder Metallurgy

Cited by 40 publications

References 6 publications

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Evaluation on Powder Metallurgy Process Parameters of Ball‐Milled AA8079‐B₄C Nanostructured Composites via Taguchi Grey Relational Analysis

Optimization of MWCNTs/Al nanocomposite fabrication process parameters for mass density and hardness

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Optimization of Process Parameters of Al-10% Cu Compacts through Powder Metallurgy

Cited by 40 publications

References 6 publications

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Optimization methods in powder metallurgy for enhancing the mechanical properties: a systematic literature review

Evaluation on Powder Metallurgy Process Parameters of Ball‐Milled AA8079‐B4C Nanostructured Composites via Taguchi Grey Relational Analysis

Optimization of MWCNTs/Al nanocomposite fabrication process parameters for mass density and hardness

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Evaluation on Powder Metallurgy Process Parameters of Ball‐Milled AA8079‐B₄C Nanostructured Composites via Taguchi Grey Relational Analysis