Particle swarm optimization based selection of optimal polymeric blend

Deepalaxmi, R.; Balaji, M.; Rajini, V.

doi:10.1109/tdei.2013.6518961

Cited by 20 publications

(12 citation statements)

References 19 publications

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“…First, PSO only requires a fitness function to measure the ''quality'' of a solution, which reduces the computational complexity. 37 Second, PSO is less sensitive to a good initial solution. Third, PSO is easily incorporated with other optimization tools.…”

Section: Psomentioning

confidence: 99%

A non-line-of-sight error mitigation method for location estimation

Chen

2017

International Journal of Distributed Sensor Networks

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Because there are always non-line-of-sight effects in signal propagation, researchers have proposed various algorithms to mitigate the measured error caused by non-line-of-sight. Initially inspired by flocking birds, particle swarm optimization is an evolutionary computation tool for optimizing a problem by iteratively attempting to improve a candidate solution with respect to a given measure of quality. In this article, we propose a new location algorithm that uses time-of-arrival measurements to improve the mobile station location accuracy when three base stations are available. The proposed algorithm uses the intersections of three time-of-arrival circles based on the particle swarm optimization technique to give a location estimation of the mobile station in non-line-of-sight environments. An object function is used to establish the nonlinear relationship between the intersections of the three circles and the mobile station location. The particle swarm optimization finds the optimal solution of the object function and efficiently determines the mobile station location. The simulation results show that the proposed algorithm performs better than the related algorithms in wireless positioning systems, even in severe non-line-of-sight propagation conditions.

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Section: Psomentioning

confidence: 99%

A non-line-of-sight error mitigation method for location estimation

Chen

2017

International Journal of Distributed Sensor Networks

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“…For the present investigations the blend ratio of 50:50 is selected [4,5]. The Silicone rubber and EPDM with blend ratio of 50:50 were mixed in two roll mixing mill (Shoail make).…”

Section: Blend Preparationmentioning

confidence: 99%

“…Amidst polymers, EPDM and SiR are the commonly used elastomer materials in harsh environments. Many researchers have investigated the performance of these commonly used polymers [1,2] and also their blends [3][4][5][6][7]. However the property modification by E-beam irradiation on these blends has never been reported.…”

Section: Introductionmentioning

confidence: 99%

Property Enhancement of SiR-EPDM Blend Using Electron Beam Irradiation

Deepalaxmi¹,

Rajini²

2014

Journal of Electrical Engineering and Technology

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-Polymers are the most commonly used di-electrics because of their reliability, availability, ease of fabrication and cost. The commercial and industrial demand for advanced polymeric materials which are capable of being used in harsh environment is need of the hour. The study of the effect of electron beam irradiation on polymeric materials is an area of rapidly increasing interest. This paper discusses the resultant beneficial effects of electron beam irradiation on the SiR-EPDM blend having 50:50 composition. The changes in mechanical and electrical properties of SiR-EPDM blend which are exposed to three different doses of electron beam radiation namely 5 Mrad, 15 Mrad and 25 Mrad are presented. The irradiated blends are analyzed for their electro-mechanical and physico chemical properties. The electrical changes induced by irradiation are investigated by arc resistance, surface resistivity and volume resistivity measurements as per ASTM standards. The mechanical changes are observed by the measurement of tensile strength and elongation at break. Physico chemical investigation has been done using the FTIR, in order to investigate the irradiation induced chemical changes.

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“…Since the last decade many researchers have focused on the improvement of novel insulating materials. Polymer blends are capable in both harsh and normal environment stresses . Ethylene‐propylene diene rubber (EPDM) has saturated main backbone chain structure, due to which it shows excellent electrical properties, good heat resistance, good mechanical properties, heat shrinkage, and weathering properties such as oxidation and ozone resistance .…”

Section: Introductionmentioning

confidence: 99%

Modified ethylene‐propylene‐diene elastomer (EPDM)‐contained silicone rubber/ethylene‐propylene‐diene elastomer (EPDM) blends: Effect of composition and electron beam crosslinking on mechanical, heat shrinkability, electrical, and morphological properties

Fuke

Mahanwar

Chowdhury

2019

J of Applied Polymer Sci

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In this investigation, a gamma radiation‐induced methacrylic acid (MAA)‐grafted ethylene‐propylene‐diene elastomer (EPDM) was used as a third component (g‐EPDM) in silicone rubber (SiR)/ethylene‐propylene‐diene elastomer (EPDM) blends. These blends were electron beam (EB) crosslinked. The effect of blend composition, the presence of g‐EPDM, and EB crosslinking on the mechanical, heat shrinkability, electrical, and morphological properties of SiR/EPDM blends have been studied. To investigate the effect of grafted EPDM (g‐EPDM), 10 wt % of g‐EPDM was added to immiscible SiR/EPDM blends. Both silicone and EPDM are blended in different proportions (70:30 and 30:70) with and without g‐EPDM followed by compression molding. To improve the properties and investigate the crosslinkability of binary and ternary blends further, the SiR/EPDM blends were irradiated by electron beam at different doses (50, 100, and 150 kGy). The gel content was found to increase with EPDM content, the presence of g‐EPDM, and radiation dose. The addition of g‐EPDM led to improvement of tensile properties (tensile strength, Young's modulus, percentage elongation, and toughness), electrical properties, and shrinkability of blends. EB crosslinking further enhanced the above properties. Surface morphology (SEM) revealed that the presence of g‐EPDM and the incorporation of EB crosslinking improved the above properties of blends. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47787.

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Particle swarm optimization based selection of optimal polymeric blend

Cited by 20 publications

References 19 publications

A non-line-of-sight error mitigation method for location estimation

A non-line-of-sight error mitigation method for location estimation

Property Enhancement of SiR-EPDM Blend Using Electron Beam Irradiation

Modified ethylene‐propylene‐diene elastomer (EPDM)‐contained silicone rubber/ethylene‐propylene‐diene elastomer (EPDM) blends: Effect of composition and electron beam crosslinking on mechanical, heat shrinkability, electrical, and morphological properties

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