XIAOYAN LIU^a,*, XU CHEN^a, HONGXING ZHANG^b, CHANGJUN ZHANG^a, SHIYUAN YANG^a, GUANGQUAN LI^a

Journal of Polymer Materials, Vol.36, No.2, pp. 121-132, 2019, DOI:10.32381/JPM.2019.36.02.2

Abstract In this work, three in situ impact polypropylene copolymer(IPC) samples were prepared through Ziegler-Natta catalyst only changing the feed composition (ethylene to ethylene and propylene molar ratio, C2/C2+C3) in gas-phase polymerization reactor. Polymer (IPC) were characterical by solvent classification, gel permeation chromatography (GPC), differential scanning calorimetry (DSC), successive self-nucleation and annealing (SSA), nuclear magnetic resonance(13C-NMR) and scanning electron microscopy(SEM). The mechanical properties of IPC samples were tested.The results indicate that with similar ethylene content, the feed composition which determines the content and structure of EPR and EbP component in IPC, further impacts the rubber phase size and distribution in IPC,… More >

KRISHAN KUMAR PATEL, RAJESH PUROHIT

Journal of Polymer Materials, Vol.36, No.1, pp. 23-37, 2019, DOI:10.32381/JPM.2019.36.01.3

Abstract Microwave (MV)-induced thermo-responsive shape memory thermoplastic polyurethane (SMTPU)/ MWCNT composites were prepared in micro-compounder. Composites containing different amount of multiwall Carbon nanotube (MWCNT) varying from 0 to 1.5 phr in SMTPU matrix were prepared. Maximum stretching strength, recovery force and tensile strength for 1.5 CNTPU (1.5 phr MWCNT in SMTPU matrix) was increased by 120%, 100% and 24% respectively as compared to SMTPU. MV-induced shape memory is a novel approach for fast, clean and remote heating during operation. MWCNT is strong absorber of microwave irradiation so that SMTPU/ MWCNTs nanocomposites successfully triggered by microwave. More >

GOBI NALLATHAMBI, BHARGAVI RAM THIMMIAH^*

Journal of Polymer Materials, Vol.37, No.3-4, pp. 189-200, 2020, DOI:10.32381/JPM.2020.37.3-4.6

Abstract The aim of this study is to optimize the process parameters of alkali treated Saharan aloe vera cactus fibres using of Box-behnken experimental design. The Saharan aloe vera cactus fibres were treated with different concentration of NaOH, soaking time and temperature which affect the properties of fibres and plays main role in removal of lignin, hemicellulose, pectin and wax content. The chemical composition of untreated and treated fibres was analyzed by standard methods. XRD result shows the improvement in the crystallinity index of fibres due to alkali treatment. ATR-FTIR analysis shows that hemicellulose and lignin were decreased in all alkali… More >

R.M. MISHRAA, R. VIJAYVARGIYAA, K.N. PANDEYA, J.S.P. RAIB

Journal of Polymer Materials, Vol.37, No.3-4, pp. 179-188, 2020, DOI:10.32381/JPM.2020.37.3-4.5

Abstract The present investigation is targeted to prepare nanocomposites based on binary blends of polyetherimide (PEI)-silicone rubber incorporated with varied loadings of nanotitanium dioxide particles. Nanocomposites have been prepared by melt blending process using twin screw extruder. Thermal properties of the developed nanocomposites have been investigated with the help of thermogravimetric analyzer (TGA) and dynamic mechanical analyzer (DMA). Scanning electron microscopy (SEM) is used to analyze the morphological properties of the nanocomposites. Mechanical properties (tensile strength, tensile modulus, elongation at break, impact strength) of the nanocomposites have been evaluated by universal testing machine (UTM). Mechanical testing results reveal that there is… More >

İBRAHIM KARTERI^a,b,*, MUSTAFA ÖZYEŞILDAĞ^b

Journal of Polymer Materials, Vol.38, No.1-2, pp. 167-177, 2021, DOI:10.32381/JPM.2021.38.1-2.13

Abstract This study aims to provide a comprehensive account of chemically reduced graphene oxide (RGO) and decabromodiphenyl ethane (DBDPE) filled acrylonitrile-butadiene-styrene (ABS) multifunctional filaments for fused deposition modeling (FDM) applications. ABS/RGO with DBDPE nanocomposites (ABS-GDM) were fabricated by single-screw extrusion at a diameter of 1.75 mm. The proportion of RGO and DBDPE for the ABS-GDM filaments was set to 0.75 wt%. The properties of the ABS-GDM were determined using optical, mechanical, thermal, and morphological characteristics (using scanning electron microscopy). A three-dimensional (3D) model was successfully printed using the developed ABS-GDM filaments for FDM 3D printing. These ABS-GDM have the potential to… More >

MANIKANDAN.N^1,*, RAJESH.P.K¹

Journal of Polymer Materials, Vol.38, No.3-4, pp. 327-336, 2021, DOI:10.32381/JPM.2021.38.3-4.12

Abstract In this research, a new method to fabricate multi-material, multi-shape changing polymer composites is proposed. The method aims to reduce the number of thermomechanical programming steps involved in achieving shape change in a shape memory polymer (SMP) composite structure by including the programming steps directly into the printing process. After a single step of mechanical deformation and thermal loading, the SMP fibers can be activated sequentially to control the shape change. Composite strip samples were fabricated using a Stratasys Objet 260 multimaterial printer. Two polymer inks VeroPureWhite and Agilus30 were used as primary materials. The composite strip consists of fiber… More >

S.R. MANE^1,2, E. K. PATHAN³, G. PATIL⁴, S. G. TUPE⁵, V. GHORMADE⁴, B. P. CHAUDHARI^1,2, M.V. DESHPANDE^5,*

Journal of Polymer Materials, Vol.38, No.3-4, pp. 219-230, 2021, DOI:10.32381/JPM.2021.38.3-4.4

Abstract A dimorphic fungus Benjaminiella poitrasii contains high chitin/chitosan (35% of the cell wall) in the mycelial (M) form than its yeast (Y) form (20% of the cell wall). However, the relative proportion of chitosan is more in yeast form cells (chitosan: chitin ratio, 6:1) than mycelial cells (chitosan: chitin ratio, 3:1). Using the Taguchi design of experimental (DOE) approach, interactions among eight different parameters showed that carbon source (starch, 10 g/L), incubation time (48 h), inoculum (M and Y mixed 10%), yeast extract (6 g/L) and peptone (10 g/L), were optimum for maximum biomass production. Under these conditions, the chitosan… More >

S. ARULMURUGAN^a,*, N. VENKATESHWARAN^a, S. KUMAR^a, P. CHANDRASEKAR^a

Journal of Polymer Materials, Vol.40, No.1-2, pp. 83-91, 2023, DOI:10.32381/JPM.2023.40.1-2.7

Abstract In this research, the effect of UV light on the mechanical properties of jute polymer nanocomposites was evaluated. Due to the fact that photodegradation is a surface process and is confined to the degradation of the mechanical characteristics of polyester resin, this study focuses on the resin quality. Therefore, test samples comprised of fibre-reinforced polyester nanoclay composites were fabricated different weight ratios of nanoclay. They were put through UV exposure in an Ultraviolet (UV) chamber. Tensile testing samples were made in accordance with ASTMD638 and had a minimum thickness of 3 mm. Additionally, specimens for Flexural and Impact testing were… More >

Wei Chen^*, Wuwen Liu, Yue Liang

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.4, pp. 859-872, 2024, DOI:10.32604/fdmp.2023.029310

Abstract River sand is an essential component used as a fine aggregate in mortar and concrete. Due to unrestrained exploitation, river sand resources are gradually being exhausted. This requires alternative solutions. This study deals with the properties of cement mortar containing different levels of manufactured sand (MS) based on quartzite, used to replace river sand. The river sand was replaced at 20%, 40%, 60% and 80% with MS (by weight or volume). The mechanical properties, transfer properties, and microstructure were examined and compared to a control group to study the impact of the replacement level. The results indicate that the compressive… More >

Ramiz Gorkem Birdal^*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4015-4028, 2024, DOI:10.32604/cmc.2024.048324

Abstract Maintaining a steady power supply requires accurate forecasting of solar irradiance, since clean energy resources do not provide steady power. The existing forecasting studies have examined the limited effects of weather conditions on solar radiation such as temperature and precipitation utilizing convolutional neural network (CNN), but no comprehensive study has been conducted on concentrations of air pollutants along with weather conditions. This paper proposes a hybrid approach based on deep learning, expanding the feature set by adding new air pollution concentrations, and ranking these features to select and reduce their size to improve efficiency. In order to improve the accuracy… More >