Reinforced Dissimilar Friction Stir Weld of Polypropylene to Acrylonitrile Butadiene Styrene with Copper Nanopowder

Hajideh, Mojtaba Rezaee; Farahani, Mohammad Reza; Ramezani, Navid Molla

doi:10.1016/j.jmapro.2018.03.010

Cited by 42 publications

(9 citation statements)

References 26 publications

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“…The Shore D hardness was found to be reduced in different weld zones particularly at joint interface i. e. weld stirred zone or thermo‐mechanically affected zone to heat affected base polycarbonate is shown as found earlier in dissimilar thermoplastic welding [46, 49], Figure 9. This hardness fall was due to the slow cooling rate influenced by low thermal conductivity of base polycarbonate even at high weld heat input situations using each tool pin profile.…”

Section: Resultssupporting

confidence: 69%

Optimizing process parameters for joint strength efficiency improvement in friction stir welding of polycarbonate sheets

Sahu

Mishra

Pal

2021

Materialwissenschaft Werkst

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The present work addresses optimization of these friction stir welding process variables to maximize joint strength efficiency of welded polycarbonate sheets by using particle swarm optimization algorithm over response surface method based regression model. Initially, parametric influence on weld quality characteristics namely weld bead profile, bead geometry with associated microstructure along with micro‐hardness deviation through the weld centerline and stress‐strain behavior of the weld have been studied in detail as per full factorial design of experiments by using three different tool pin profiles such as cylindrical, square and triangular. The center point experiment i. e. tool rotational speed of 1800 min−1 and welding speed of 20 mm/min, and square tool pin profile were found to be the optimum combination with a maximum joint strength efficiency of 60.06 %. The regression model of weld ultimate tensile strength was developed by using response surface methodology which was found to be significant. Therefore, this model was further used for parametric optimization by using both response surface methodology and intelligent particle swarm optimization approaches. A slight improvement in joint strength efficiency with better optimization capability was found by using particle swarm optimization technique as compared to response surface methodology.

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Section: Resultssupporting

confidence: 69%

Optimizing process parameters for joint strength efficiency improvement in friction stir welding of polycarbonate sheets

Sahu

Mishra

Pal

2021

Materialwissenschaft Werkst

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“…28,33 It is an amorphous polymer and thus does not have a melting point. 34 ABS possesses features such as good impact strength, toughness, 30,32,35–37 chemical resistance, 30,32,35,37 heat resistance, 28,37 adhesion properties, 32,35 and rigidity. 32,37,38 ABS is opaque 36 and easily processed, 30,32,35,37,38 and it can be painted 32 and recycled.…”

Section: Engineering Thermoplasticsmentioning

confidence: 99%

Review of natural fiber-reinforced engineering plastic composites, their applications in the transportation sector and processing techniques

Chauhan

Kärki

Varis

2019

Journal of Thermoplastic Composite Materials

208

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Interest in natural fiber-reinforced polymer (NFRP) composites is growing rapidly in the transportation sector, especially as a replacement material for metals and synthetic fiber composites. The heightened interest is directly related to a need to produce lightweight and fuel efficient vehicles. Further, stringent legislation and greater environmental awareness is forcing transportation industries to select materials with a smaller carbon footprint. In such a context, NFRP composite materials are a good choice due to their low cost, low environmental impact, and relatively equivalent properties to metals and other composites. Most prior studies have examined commodity plastics such as polypropylene, polyethylene, and epoxy as the primary polymer matrix in NFRP composites and little work has addressed engineering plastics. Engineering plastics, which includes polycarbonate, polyamides, and polystyrene, are high performance thermoplastics with superior properties but relatively higher cost than commodity plastics. It has been claimed that even after recycling, engineering plastics properties are superior to those of commodity plastics, and thus, utilization of recycled engineering plastic in NFRP composites can help reduce waste and lower composite material costs. The aim of this review article is to explore the current status of engineering plastics reinforced with natural fibers such as flax, hemp, jute, and sisal and to examine their use in automotive, aerospace, and maritime applications. Properties and processing techniques of engineering plastics reinforced with natural fibers are also studied.

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“…This has also been found earlier in welding of dissimilar thermoplastics. 50 It was primarily because of slow cooling rate affected by very low thermal conductivity of polycarbonate even at higher weld heat input conditions like cylindrical (9.7%), square (2.6%) and triangular (4.5%). The lowest Shore D hardness was observed at low N with high V due to low heat input to the weld.…”

Section: Resultsmentioning

confidence: 99%

Multi sensor based strategies for accurate prediction of friction stir welding of polycarbonate sheets

Sahu

Mishra

Pal

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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High performance thermoplastic is often used in automotive and aerospace sectors. Friction stir welding (FSW) has been a suitable method for joining these thermoplastic materials. However, the process characteristics vary dynamically, even at same parametric conditions due to process disturbances. While quite a few studies have been reported in experimental investigation, the usage of sensors for the process monitoring during welding has not been explored. Therefore, the present paper focuses on various sensor-based approaches on process monitoring. The study includes an in-depth experimental investigation for joining of polycarbonate sheets using full factorial design of experiments. Three different tool pin profiles like cylindrical, square and triangular have been selected, whereas tool rotational speed and traverse speed are considered as primary process variables. Various statistical time domain features of the force and torque signals starting from average, its deviation and root mean square as well as thermal cycle based weld peak temperature and its cooling rate were found to have a strong correlation with weld bead profile. The axial force and thermal cycles were found to be the major indicators of joint strength efficiency rather than torque as per regression models developed by using response surface methodology. Finally, an attempt has been made for improving the joint strength predictability by using various sensor-based approaches. This work can be used potentially to real time welding process monitoring in industrial sectors.

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Reinforced Dissimilar Friction Stir Weld of Polypropylene to Acrylonitrile Butadiene Styrene with Copper Nanopowder

Cited by 42 publications

References 26 publications

Optimizing process parameters for joint strength efficiency improvement in friction stir welding of polycarbonate sheets

Optimizing process parameters for joint strength efficiency improvement in friction stir welding of polycarbonate sheets

Review of natural fiber-reinforced engineering plastic composites, their applications in the transportation sector and processing techniques

Multi sensor based strategies for accurate prediction of friction stir welding of polycarbonate sheets

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