Effects of viscosity variation and thermal effects in squeeze films

Mamatha, E.; Reddy, C. S.; Sharma, Rohit

doi:10.3166/acsm.42.57-74

Cited by 7 publications

(6 citation statements)

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“…The results showed that 1.2FeMn alloy had the highest wear rate compared to other alloys at all applied loads. Mamatha et al [13] addressed thermal effect, viscosity variation in tribological Squeeze film with Reynolds's equation. The load effect between two moving surfaces minimizes wear and reduces energy loss, friction between them.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental Investigation to Study the Influence of Variation in Composition on Tribological Behavior and Impact Strength of Aluminium Alloy Al7068

Mahadikar¹,

Mamatha²,

Krupakara³

et al. 2020

RCMA

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Aluminium alloys have a wide variety of applications in the industrial sector due to some unique characteristics like lightweight, high strength to weight ratio, corrosion resistance, good electrical conductivity, recyclability, ductility, and formability, etc. Due to this unique combination of properties, the applications of aluminium alloys continue to increase. The tribological behavior and impact strength were studied in this research work by conducting the wear and impact tests, varying the composition of two major alloying elements, Magnesium (Mg) and Zinc (Zn) of Al7068 aluminium alloy. The specimens were prepared as per ASTM standards for wear and impact tests, four compositions each for Mg% varying b/w (2.2 to 3%), and Zn % varying b/w (7.3 to 8.3%). The results of the wear test on the alloy Al7068 shows that the specimens with 3% Mg and 7.6% Zn compositions gives least wear rate at loads 2 kg and 3 kg respectively whereas the specimens with compositions of 2.75% Mg and 7.3% Zn give highest wear rate at a low load of 1 kg. The impact test results indicate that specimens with compositions of 2.2% Mg and 7.6% Zn of the alloy Al7068 give the highest impact strength which in turn improves its performance.

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Section: Literature Reviewmentioning

confidence: 99%

Experimental Investigation to Study the Influence of Variation in Composition on Tribological Behavior and Impact Strength of Aluminium Alloy Al7068

Mahadikar¹,

Mamatha²,

Krupakara³

et al. 2020

RCMA

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“…Mamatha et al [13] studied the functionality of lubrication on squeeze film by using Reynolds' equation and discussed the load effect in between the two smooth moving surface plates. The focus of the work is to optimize wear and energy losses that reduce the friction of the plates.…”

Section: Literature Reviewmentioning

confidence: 99%

Variation in Composition of Aluminium Alloy Al6463 on Wear Characteristics and Compressive Strength

Mahadikar¹,

Mamatha²,

Murthy³

et al. 2020

ACSM

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Aluminium is one of the widely used metals in industrial sector owing to its specific features and its commercial production started in late 19th century. In its natural form it is combined with oxygen and other elements and is the third most abundant metal in the earth’s crust. It can be machined easily and has a Face Centred Cubic (FCC) structure. Aluminium alloys are an attractive alternative to ferrous materials for tribological applications due to their low density and high thermal conductivity. The microstructure of aluminium alloys can be modified and mechanical properties can be improved by alloying, cold working and heat treatment. The present work mainly focuses on the study of the effect of variation in composition on the wear characteristics and compressive strength of aluminium alloy Al6463 by varying the compositions of the two major alloying elements, Magnesium (Mg) and Silicon (Si) in the alloy. Four specimens of the aluminium alloy Al6463 are prepared each for Magnesium composition varying b/w (0.5 to 0.875%) and Silicon composition varying b/w (0.2 to 0.575%). Wear and compression tests were carried out as per ASTM standard. The results of the wear test indicate that the least wear rate was obtained for specimens of 0.750% Mg and 0.575% Si composition of the alloy Al6463 at a higher load of 1.5 kg. Also, the compression test results indicate that the specimens with 0.750% Mg and 0.575% Si compositions of the alloy Al6463 exhibit better compressive strength.

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“…The evaluation results show that small footprint was achieved especially with dynamically reconfigurable technique [9,15]. Dynamically reconfigurable processors using high-level synthesis were proposed to improve the efficiency, whereas the inefficiency of fixed mesh pointed out in still remains [11][12][13][14]. Fixed bit widths of data paths, elementary blocks, and switch matrices aiming at mass production of the devices were one example of the inefficiency.…”

Section: Introductionmentioning

confidence: 99%

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

Reddy¹,

Anand²

2022

IJANS

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Sensor routers play a crucial role in the sector of Internet of Things applications, in which the capacity for transmission of the network signal is limited from cloud systems to sensors and its reversal process. It describes a robust recognized framework with various architected layers to process data at high level synthesis. It is designed to sense the nodes instinctually with the help of Internet of Things where the applications arise in cloud systems. In this paper embedded PEs with four layer new design framework architecture is proposed to sense the devises of IOT applications with the support of high-level synthesis DBMF (database management function) tool.

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Effects of viscosity variation and thermal effects in squeeze films

Cited by 7 publications

References 0 publications

Experimental Investigation to Study the Influence of Variation in Composition on Tribological Behavior and Impact Strength of Aluminium Alloy Al7068

Experimental Investigation to Study the Influence of Variation in Composition on Tribological Behavior and Impact Strength of Aluminium Alloy Al7068

Variation in Composition of Aluminium Alloy Al6463 on Wear Characteristics and Compressive Strength

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

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