“…Polyvinyl Chloride (PVC), on the other hand, is a thermoplastic composed of 57% chlorine and 43% carbon, obtained from ethylene and chlorine gas (Oberoi and Malik, 2022). PVC is available in two primary forms: rigid and flexible, the latter achieved through the addition of plasticizers (Rahman and Brazel, 2006).…”
Understanding and optimizing the CO2 laser cutting process of thermoplastic materials is critical for improving product quality, reducing waste, and achieving efficient manufacturing processes. This study aimed to investigate the effects of a number of input parameters (i.e., material type, power, and cutting speed) on the key output parameters (i.e., kerf width and heat affected zone) in CO2 laser cutting of thermoplastic materials. The laser cutting process was performed based on the Taguchi L18 (21x32) orthogonal array design. The effects of cutting parameters on the outputs were calculated by using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA) techniques. Furthermore, first and second-degree mathematical models were established by using regression analysis to estimate the values of kerf width and heat affected zone. The optimum laser cutting parameters for kerf width and heat affected zone were determined as and Polyvinyl Chloride (PVC) material type, 80 W power, and 15 mm/s cutting speed. The ANOVA results showed that the most efficient parameter on kerf width was power with 53.99% while the most efficient parameter on heat affected zone was material type with 40.96%. In addition, the coefficient of determination (R2) values for the regression equations developed for the outputs are significantly high. The R2 values of the first- and second-degree regression equations for KW are 97.26% and 99.71%, respectively, whereas 93.43% and 98.18% for HAZ.
“…Polyvinyl Chloride (PVC), on the other hand, is a thermoplastic composed of 57% chlorine and 43% carbon, obtained from ethylene and chlorine gas (Oberoi and Malik, 2022). PVC is available in two primary forms: rigid and flexible, the latter achieved through the addition of plasticizers (Rahman and Brazel, 2006).…”
Understanding and optimizing the CO2 laser cutting process of thermoplastic materials is critical for improving product quality, reducing waste, and achieving efficient manufacturing processes. This study aimed to investigate the effects of a number of input parameters (i.e., material type, power, and cutting speed) on the key output parameters (i.e., kerf width and heat affected zone) in CO2 laser cutting of thermoplastic materials. The laser cutting process was performed based on the Taguchi L18 (21x32) orthogonal array design. The effects of cutting parameters on the outputs were calculated by using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA) techniques. Furthermore, first and second-degree mathematical models were established by using regression analysis to estimate the values of kerf width and heat affected zone. The optimum laser cutting parameters for kerf width and heat affected zone were determined as and Polyvinyl Chloride (PVC) material type, 80 W power, and 15 mm/s cutting speed. The ANOVA results showed that the most efficient parameter on kerf width was power with 53.99% while the most efficient parameter on heat affected zone was material type with 40.96%. In addition, the coefficient of determination (R2) values for the regression equations developed for the outputs are significantly high. The R2 values of the first- and second-degree regression equations for KW are 97.26% and 99.71%, respectively, whereas 93.43% and 98.18% for HAZ.
“…As a highly reactive and flammable substance, VCM poses serious safety and environmental concerns during its manufacturing, storage, and handling processes 161. Furthermore, prolonged exposure to VCM can have detrimental health effects, including respiratory problems, liver and kidney damage, and carcinogenicity 162.…”
Petrochemical industries are facing severe challenges in controlling nonlinear processes which are to be analyzed and monitored to develop efficient control models for improved efficiency and productivity. This review focuses on the control theory of petrochemical processes along with linear and nonlinear controllers with their limitations as well as on the application of artificial intelligence (AI)‐based controllers in multiple sectors of petrochemical industries. The findings and results from the review prove that the AI control technique is a promising one in the future for uncertain dynamic systems. The paper also covers a review of the vinyl chloride monomer (VCM) process and a recent control study on the plant. Being a nonlinear system, VCM requires advanced control techniques to control the uncertain dynamics of the process. The study shows a gap in the development of control strategies applied to VCM in terms of sustainability, efficiency, and environment‐concerned issues. Valuable insights for researchers, practitioners, and engineers engaged in process control and automation in the petrochemical industry are provided.
“…Polyvinyl chloride (PVC) has seen extensive use in food-contact applications including conveyor belts, rollers, piping, tubing, gaskets, gloves, countertops, and packaging. − PVC conveyors have been the topic of extensive study. The viability of pathogenic microorganisms on and transfer of such organisms to and from PVC conveyor belts have been studied extensively. − Some research has suggested that PVC conveyor belts may be more difficult to effectively clean and sanitize than other food-contact surfaces such as stainless-steel .…”
Polyvinyl chloride (PVC) is commonly utilized as a food-contact
surface by the food industry for processing and storage purposes due
to its durability, ease of fabrication, and cost-effectiveness. Herein,
we report a composite coating for the superhydrophobization of PVC
without the use of polyfluoroalkyl chemistry. This coating rendered
the PVC superhydrophobic, exhibiting a static water contact angle
of 151.9 ± 0.7° and a contact angle hysteresis of only 3.1
± 1.0°. The structure of this composite coating, consisting
of polydopamine, nanodiamonds, and an alkyl silane, was investigated
by utilizing both scanning electron microscopy and atomic force microscopy.
Surface chemistry was probed using attenuated total reflectance-Fourier
transform infrared, and the surface wetting behavior was thoroughly
characterized using both static and dynamic water contact angle measurements.
It was demonstrated that the superhydrophobic PVC was cleanable using
a food-grade surfactant, becoming wet in contact with high concentration
surfactant solutions, but regaining its nonwetting property upon rinsing
with water. It was demonstrated that the coating produced a 2.1 ±
0.1 log10 reduction (99.2%) in the number of Escherichia coli O157:H7 cells and a 2.2 ± 0.1
log10 reduction (99.3%) in the number of Salmonella enterica Typhimurium cells that were able
to adsorb onto PVC surfaces over a 24 h period. The use of this fluorine-free
superhydrophobic coating on PVC equipment, such as conveyor belts
within food production facilities, may help to mitigate bacterial
cross-contamination and curb the spread of foodborne illnesses.
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