Desirability based multiobjective optimisation of abrasive wear and frictional behaviour of aluminium (Al/3.25Cu/8.5Si)/fly ash composites

Kumar, K. Ravi; Sreebalaji, V.S.

doi:10.1179/1751584x15y.0000000012

Cited by 15 publications

(6 citation statements)

References 29 publications

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“…This was because increase in Zn resulted in increase in the formation of hardening precipitates (MgZn 2 ) which were dissolved in the α-Al after heat treatment. The report of Kumar and Sreebalaji [19] confirmed that increase in precipitates in the form of reinforcement particles increased the amount of stick out particles that reduced MWL. The continuous removal of the particles accounted for decrease in the MWL.…”

Section: Anova For Hardnessmentioning

confidence: 84%

Optimization of wear and hardness of Al–Zn–Mg–Cu alloy fabricated from recycled beverage can using response surface methodology

2020

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A novel X7475 (Al-Zn-Mg-Cu) alloy was fabricated from recycled beverage cans (RBCs). Al was recovered from RBC. Zn and Mn were sourced from spent batteries, while Cu was sourced from copper wire. The weight percent (wt%) Zn was varied at 4, 4.5 and 5. Following the fabrication of rods, samples were taken through precipitation and artificial ageing at 475 °C and 145 °C respectively. The pin-on disc method within ASTM G99-17 was used for the wear test, while hardness post-mortem was done using ASTM E18 specifications. Wear mass loss (WML) and hardness were optimized using response surface methodology (RSM). The least WML of 0.017 g and maximum hardness of 142 HV were obtained from an alloy fabricated using 5 wt% Zn, when subjected to a load (L) of 30 N, speed (S) of 400 RPM and time (T) of 10 min. The MWL of 0.011 g and least hardness of 71 HV were observed in an alloy of 4 wt% Zn under a load of 20 N, with S, and T at 150 RPM and 6 min apiece. Formation of hardening precipitates like Al 2 CuMg, MgZn 2 and CuAl 2 , were suggested to be responsible for the low WML and hardness observed in the alloys. The result confirmed the significant of the optimization model at a confident interval of 95% (R 2 = 0.9531). Additional experiment was suggested for correlating hardness with tensile strength.

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Section: Anova For Hardnessmentioning

confidence: 84%

Optimization of wear and hardness of Al–Zn–Mg–Cu alloy fabricated from recycled beverage can using response surface methodology

2020

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“…The value of F indicates the significance of model. In Table 5 and Table 6, the value of p is greater than F and less than 0.0001, which implies that the developed models are vital [25]. Similarly, the effect of individual input terms (v f × s tr ) found to be significant for Ra and (v c × v f × s tr ) found to be significant for dish angle and its interaction terms and 2nd order terms were found to be not significant for all the two output responses.…”

Section: Response Surface Methodology (Rsm) Experimental Design Mamentioning

confidence: 99%

Parametric Optimization of Trochoidal Step on Surface Roughness and Dish Angle in End Milling of AISID3 Steel Using Precise Measurements

Santhakumar

Iqbal

2019

Materials

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Tool steel play a vital role in modern manufacturing industries due to its excellent properties. AISI D3 is a cold work tool steel which possess high strength, more hardenability and good wear resistance properties. It has a wide variety of applications in automobile and tool and die making industries such as blanking and forming tools, high stressed cutting, deep drawing and press tools. The novel ways of machining these steels and finding out the optimum process parameters to yield good output is of practical importance in the field of research. This research work explores an attempt to identify the optimized process parameter combinations in end milling of AISI D3 steel to yield low surface roughness and maximum dish angle using trochoidal milling tool path, which is considered as a novelty in this study. 20 experimental trials based on face centered central composite design (CCD) of response surface methodology (RSM) were executed by varying the input process factors such as cutting speed, feed rate and trochoidal step. Analysis of variance (ANOVA) was adopted to study the significance of selected process parameters and its relative interactions on the performance measures. Desirability-based multiple objective optimization was performed and the mathematical models were developed for prediction purposes. The developed mathematical model was statistically significant with optimum conditions of cutting speed of 41m/min, feed rate of 120 mm/min and trochoidal step of 0.9 mm. It was also found that the deviation between the experimental and predicted values is 6.10% for surface roughness and 1.33% for dish angle, respectively.

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“…At higher weight percent of reinforcement, particles are more likely to break and be removed. 27 The mean of wear rate shows increment with sliding speed. Possibly, this occurs as a result of friction heat generated by the sliding motion, which causes the metal matrix to soften.…”

Section: Wear and Coefficient Of Friction Analysismentioning

confidence: 98%

Response surface modeling and optimization of LM25 alloy-based hybrid composites reinforced with red mud and sillimanite particles

Yadav

Kumar

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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The present study investigates the tribological behavior of aluminum and silicon (Si) alloy (LM25) based hybrid metal matrix composite (MMC). LM25 alloy is reinforced with three different percentages (5, 10, and 15 wt. %) in a 1:1 ratio of sillimanite and red mud particles utilizing the stir casting method. An analysis of the microstructure shows morphology of reinforcement particles throughout the alloy matrix. Pin-on-disk tests have been performed as per the Box-Behnken Design (BBD) technique to evaluate wear and friction characteristics. Further effect of reinforcement, sliding velocity, and applied load on wear and friction characteristics were analyzed and optimize as 13.48 wt. % reinforcement, 10 N load and 1.5 m/s sliding speed to get optimum properties. SEM analysis showed that the composite surface was more susceptible to wear under high loads since it had a higher degree of deformation.

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Desirability based multiobjective optimisation of abrasive wear and frictional behaviour of aluminium (Al/3.25Cu/8.5Si)/fly ash composites

Cited by 15 publications

References 29 publications

Optimization of wear and hardness of Al–Zn–Mg–Cu alloy fabricated from recycled beverage can using response surface methodology

Optimization of wear and hardness of Al–Zn–Mg–Cu alloy fabricated from recycled beverage can using response surface methodology

Parametric Optimization of Trochoidal Step on Surface Roughness and Dish Angle in End Milling of AISID3 Steel Using Precise Measurements

Response surface modeling and optimization of LM25 alloy-based hybrid composites reinforced with red mud and sillimanite particles

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