Investigations on machinability characteristics of Cast Aluminum Alloy based (LM 26+Graphite+Fly ash) Hybrid Metal Matrix Composites for automobile components

Prakash, Chander; Senthil, P.; Manikandan, N.; Palanisamy, D.

doi:10.1080/10426914.2021.1962531

Cited by 17 publications

(6 citation statements)

References 32 publications

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“…This allows researchers to achieve the desired performance in various engineering applications. [33][34][35][36][37][38][39] When it comes to the manufacturing of a component, the orientation of the components and the form tolerances are two of the most imperative aspects that need to be taken into attention. This is because both of these aspects have a direct influence on the quality and the mechanical characteristics of a surface.…”

Section: Introductionmentioning

confidence: 99%

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Natarajan,

Pasupuleti,

Giri

et al. 2024

AIP Advances

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Manufacturing has grown challenging because of the increased usage of harder materials, such as titanium alloys, in many industries, such as aerospace, automobiles, and marine. Conventional material removal procedures are not suitable for these tough materials due to their increased hardness and slow machinability. Wire Electrical discharge machining (WEDM) is a modern approach for material removal, particularly for harder materials, such as titanium alloys, nickel alloys, hard particle reinforced metal matrix composites, etc. The research design was performed by deeming the independent factors, such as duration of pulse and applied current. The removal rate of material, surface roughness of the machined region, dimensional deviation, and tolerance errors in form/orientation are considered performance metrics. Taguchi’s approach was engaged to assess the process variables, and the importance of the process factors was established using analysis of variance approach. The purpose of this research is to create an AI based decision making tool, which can be utilized to anticipate the various parameters that impact the WEDM material removal process. The discoveries of the present exploration allowing the manufacturers to make better-informed decisions with a developed model’s capability by demonstrating that the model’s predicted values were in close confirmation to the actual values.

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Section: Introductionmentioning

confidence: 99%

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Natarajan,

Pasupuleti,

Giri

et al. 2024

AIP Advances

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“…To anticipate the desired measurements, a hybrid strategy integrating the grey and ANFIS models has been constructed. The predicted and experimental outcomes have been compared [33]. Peak current, pulse-on duration, and gap voltage were the variable machining factors, whilst electrode wear rate, material removal rate, and average surface roughness were the investigated responses.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Praveen,

Raja,

Jannet

et al. 2023

Eng. Res. Express

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Over the past two decades, there has been a significant rise in the demand for Aluminum Metal Matrix Composites (AAMCs) due to their notable advantages such as lightweight properties, increased strength, and enhanced hardness. In this study, three distinct AAMC samples based on Al5083 alloy, each varying in reinforcement levels at 4%, 8%, and 12% by weight were used. These composites were produced through a stir-casting process. The biochar used in our research was obtained through a pyrolysis process, adding an environmentally friendly and sustainable aspect to the composite materials. In the machining aspect of the study, A systematic L27 Taguchi Design of Experiment approach was used to investigate the influence of input parameters, namely cutting speed, feed rate, depth of cut, and weight percentage of reinforcement material, on the machining process. Further regression models were developed to gain insights into the relationships between these parameters and the resulting surface roughness. Turning operations at a cutting speed of 1050 rpm, a feed rate of 60 mm, and a depth of cut of 0.75 mm were idle for superior surface roughness and to assess the impact of the reinforcement material on the machined surface.

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“…Bioinertness and noncytotoxicity are two properties of zirconia ceramic. Carbon is another mechanical option that includes the after-bone and blood compatibility, no tissue reactivity, and no cell toxicity [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…It reduces with the increase of spark-off time, while Ra depends on the applied current and increases with the increase in the applied current [33]. Many studies were conducted on composite materials with EDM and achieved significant results [18,19,[34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Tool Wear Rate during EDM for Aluminium Metal Matrix Composite (5-10% TiB2) Prepared by Squeeze Casting

Channi

Bains

Grewal

et al. 2022

J. Electrochem. Sci. Eng.

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Squeeze casting was used to prepare aluminium alloy-6061/titanium diboride (TiB2) to create a composite with varied TiB2 quantities. The composite's metallographic structure, tensile strength, and hardness have been explored. The tensile strength and hardness of produced metal matrix composites increased when a particle of TiB2 was increased from 5 to 10 vol.%. This study uses electrical discharge machining (EDM) to investigate the output response tool wear rate (TWR). Variables in EDM operation were investigated, such as current, pulse on time, and voltage gap. The experiments were designed using the Box–Behnken strategy. Statistical approaches were used to analyse the experiments. At ideal settings for TiB2 concentrations of 5 and 10 vol.%, TWR was 0.2146 and 0.1749 mm3 min-1 and surface roughness was 2.47 and 3.03 µm, respectively. TiB2 is utilized in automobile disc brakes, an industry where components slide against each other. The aluminium alloy-6061/titanium diboride has many applications as a biomaterial and is a good prospect.

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Investigations on machinability characteristics of Cast Aluminum Alloy based (LM 26+Graphite+Fly ash) Hybrid Metal Matrix Composites for automobile components

Cited by 17 publications

References 32 publications

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm

Investigation on the machinability of Biochar reinforced AA5083 Metal Matrix composites fabricated by stir casting technique

Investigation of Tool Wear Rate during EDM for Aluminium Metal Matrix Composite (5-10% TiB2) Prepared by Squeeze Casting

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