An improvement in drilling of <scp>SiCp</scp>/glass fiber‐reinforced polymer matrix composites using response surface methodology and <scp>multi‐objective</scp> particle swarm optimization

Antil, Parvesh; Singh, Sarbjit; Manna, Alakesh; Katal, Nitish; Pruncu, Catalin I.

doi:10.1002/pc.26204

Cited by 14 publications

(12 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Value of “ p value” less than 0.050 indicate model terms are significant. [ 63 ] In this case A , C , AC , A 2 , B 2 , and C 2 are significant terms for the model of Y 1 . In order to support hierarchy, [ 64 ] the terms of B , AB , and BC are included in the model though as insignificant factors.…”

Section: Resultsmentioning

confidence: 98%

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Zhang

2022

Polymer Composites

View full text Add to dashboard Cite

The main objective of this work was to estimate the usefulness of response surface methodology (RSM) and genetic algorithm (GA) in modeling and predicting the strength of jute/poly(lactic acid) (PLA) composite laminates. Firstly, the impact of the hot water treatment on the thermal, molecular structure, and morphological characterizations as well as kinetic analysis of jute fibers were performed by Thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM). The FTIR results showed that the hot water treatments reduced the content of lignin, hemicellulose, and impurities of the fibers. Hot water treated fibers exhibited higher thermal stabilities compared with untreated fibers as shown with TGA results. The SEM results showed effect contact surface area improved after the hot water treatment, leading to better mechanical properties of bio‐composites. Secondly, the influences of the ply orientation, plies and fiber content on the tensile strength and flexural strength of the hot water treated fibers composites were evaluated by RSM. RSM with the Box Behnken Design was utilized to establish the quadratic models of two objectives in response to input parameters. Analysis of variance (ANOVA) was used to determine percentage contribution of various parameters on two quality objectives. According to the ANOVA results, ply orientation had the most important impact on tensile strength while the ply orientation‐fiber content interaction had the most important impact on flexural strength. Finally, multi‐objective optimization was carried out to maximize tensile strength and flexural strength using the desirability function and GA. The optimized results both showed an acceptable relative error between experimental and optimized values.

show abstract

Section: Resultsmentioning

confidence: 98%

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Zhang

2022

Polymer Composites

View full text Add to dashboard Cite

show abstract

“…Therefore, the particle may continue to move in the same direction. [33] The individual perception term, which is the second term in Equation ( 5), is calculated by the difference between the best positions of the particle itself, for example, pbest ij , and its current position X t ij . It is noteworthy that the idea behind this is that the further away the activities are from the pbest ij position, the greater the difference (pbest ij -X t ij ).…”

Section: Particle Swarm Optimization Methodsmentioning

confidence: 99%

Investigation and optimization of the tensile properties of nanocomposites based on polylactic acid/polyolefin elastomer: Using fuzzy inference system and particle swarm optimization method

et al. 2022

View full text Add to dashboard Cite

In this paper, tensile properties of polylactic acid/polyolefin elastomer/multiwall carbon nanotubes/carbon black particles (PLA/POE/MWCNT/CB) nanocomposites were investigated. Nanocomposites, including each nano‐filler at 0, 0.5,1, 1.5, 2, and 3 wt% levels were made by an internal mixer. Tensile tests were carried out to extract the tensile properties of samples. Field emission electron microscopy (FESEM) was also performed to observe the dispersion quality of nano‐fillers in the matrix. FESEM images indicate a proper dispersion of all loadings of nanotubes in the matrix, in contrast the presence of more than 2 wt% of carbon black into the matrix is associated with their agglomeration. Based on the tensile tests, the separate and simultaneous addition of nano‐fillers into binary matrix leads to an increase in strength, modulus, and elongation by 72%, 30%, and 22%, respectively. Furthermore, predicted data from the rules section of the fuzzy inference system (FIS) method with the lowest error led to extracting regression models with R2 above 90% for all responses. Finally, the particle swarm optimization (PSO) method showed that to achieve balancing between the strength and elongation at break the nano‐fillers must be set at 0.64 wt% for nanotubes and 0.94 wt% for carbon black particles.

show abstract

“…24,25 One of the main parameters for the micro-drilling process is tool wear, as the high-speed rotation of the drill bit causes it to wear out quickly. [26][27][28][29] This can lead to an increase in the diameter of the hole and a decrease in the precision of the hole. 30 Also, cutting temperature effects largely on tool wear.…”

Section: Introductionmentioning

confidence: 99%

Micro drilling characterization of the carbon and carbon–aramid (hybrid) composites

Sen,

Eryilmaz,

Bakir

2024

Polymer Composites

View full text Add to dashboard Cite

In this study, micro‐drilling tests were carried out on composite laminates reinforced with hybrid (aramid‐carbon) and carbon fibers. Thrust force, hole quality, tool wear, and temperature parameters were measured and assessed following each drilling test. The quality of holes includes circularity, overcut, hole damage factor (HDF), and taper ratio. Micro‐drilling was performed on a CNC milling machine using 0.6 mm drill diameter, 7500 rpm, and 0.5 mm/min feed parameters. The plates are 3.05 mm (carbon fiber) and 3.45 mm (hybrid) thick. According to the results, the maximum thrust force (29.8 N) was measured in the hybrid composite due to the high fracture toughness of the aramid. In addition, it was determined that the thrust force and drill wear were related. The increase in thrust force during drilling caused an increase in drill wear values. While the average wear of the drill in carbon composite was 0.013 mm, the average wear of the drill in hybrid composite was 0.021 mm. Thrust force and tool temperatures were found to have a similar trend. The highest tool temperature was measured as 86.7°C in the hybrid composite. Hole quality results showed that drilling in carbon composite was more successful than in hybrid composite. Holes drilled in carbon composite have lower values for overcut (0.017 mm), HDF (1.028), and taper ratio (0.008). It has been understood that hole quality depends on thrust force and damage formation.Highlights Carbon and hybrid (carbon‐aramid) composites were produced with a vacuum infusion process (VIP). Micro‐drilling of composites was investigated focusing on thrust force, tool temperature, and hole quality. Hybrid composites exhibited greater thrust forces due to their higher toughness compared to carbon composites. Hybrid composites showed higher maximum tool temperatures compared to carbon composites. The carbon composites exhibited better hole quality compared to the hybrid composites.

show abstract

An improvement in drilling of SiCp/glass fiber‐reinforced polymer matrix composites using response surface methodology and multi‐objective particle swarm optimization

Cited by 14 publications

References 22 publications

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Investigation and optimization of the tensile properties of nanocomposites based on polylactic acid/polyolefin elastomer: Using fuzzy inference system and particle swarm optimization method

Micro drilling characterization of the carbon and carbon–aramid (hybrid) composites

Contact Info

Product

Resources

About