Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 9 de 9
Filter
1.
IEEE Access ; 11:47619-47645, 2023.
Article in English | Scopus | ID: covidwho-20241931

ABSTRACT

The use of plastic bottles has become a significant environmental concern, and recycling them has become a priority. Small and medium-sized recycling companies must collect and categorize large volumes of plastic bottles and sell them to larger recycling firms, a process that is time-consuming, costly, and labor-intensive. This manual sorting process can pose health risks, particularly during the COVID-19 pandemic, and can affect worker productivity. To address these issues, this study proposes the development of an automated conveyor belt system that can rapidly and accurately separate plastic bottles by type. The system utilizes an opaque and transparent plastic bottle separation platform, which saves time, cost, and manpower. This system design provides recycling SMEs with a competitive advantage by serving as a practical application model and a prototype with an easy-to-use concept. Key tools employed in this research include product design development (PDD), Kansei engineering, manufacturing process design, controlling system, and fault tree analysis (FTA). The light sensors are critical components in the separation process, detecting the opacity or transparency of the bottles' surfaces. The proposed prototype's reliability will be assessed by FTA, which considers all potential failures. This study contributes to the body of knowledge surrounding the integration of conveyor systems and provides valuable information for businesses seeking to optimize their sorting processes. The guidelines developed in this study can serve as a starting point for further research on the integration of conveyors in waste sorting plants. © 2013 IEEE.

2.
12th International Conference on Manufacturing Engineering and Processes, ICMEP 2022 ; : 11-23, 2023.
Article in English | Scopus | ID: covidwho-2275051

ABSTRACT

The world is currently experiencing a crisis, caused by SARS-CoV-2 and a viral mutation. Given this, the mechatronic system is proposed that allows disinfecting contaminated surfaces. This device makes it possible to disinfect polyethylene terephthalate (PET) bottles by applying short-wave UVC rays from 200 to 280 nm, which generates a germicidal effect. The machine consists of a UVC chamber, transport, and a control system. For this, the methodology of the Association of German Engineers (VDI 2206) was used, taking into account the Inventor, TIA Portal, and Factory IO software, managing to develop the system whose light-emitting diodes inside the camera project type C ultraviolet light, camera protected by strips of plastic sheet (ABS) acrylonitrile butadiene styrene anti-ultraviolet light that blocks the projection wave up to 98% of the radiation;the recycled PET bottles are moved through a linear conveyor belt that supports a maximum weight of 200 kg, controlled by a control panel. Obtaining the results in this research focused on the design of the prototype, with a feasible structural system thanks to its maximum efficiency in the disinfection process. It is concluded that it is feasible to design a machine that projects ultraviolet rays to disinfect recycled PET bottles to eliminate viruses, parasites, fungi, and bacteria. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

3.
24th Electronics Packaging Technology Conference, EPTC 2022 ; : 311-314, 2022.
Article in English | Scopus | ID: covidwho-2279407

ABSTRACT

Health awareness has increased worldwide since the COVID 2019 pandemic, creating a strong demand for wearable electronics. Wearable sensors for monitoring a patient's health are prevalent to reduce medical costs and decrease in-person clinic visits. Integrating electronics into clothes is challenging because most fabrics are porous and incompatible with the existing manufacturing methods, such as screen printing. The indirect printing method was employed to fabricate electrical circuitry on a textile substrate by printing it on a heat transfer polymer (HTP) and attaching it to the target cloths by stitching or glueing. Such a fabrication process has the potential to lead the way in developing new intelligent clothes. However, the durability of the printed circuitry in this manufacturing process on a cloth is still unknown and requires investigation. Therefore, this paper's objective is to study the durability of printed circuitries on fabric by applying constant cyclic loading. The test vehicle is a printed conductive silver interdigitating circuitry on fabric. Another test vehicle on a polyethylene terephthalate (PET) substrate was fabricated for a benchmark. A constant cyclic loading at 1Hz at a 50% duty cycle was applied to the test vehicles 100,000 times. The printed circuitry was monitored by logging the voltage in an electrical voltage divider configuration while the sensor was pressed and released. The result indicates that the fabric test vehicle can still function after the 100,000 cycles of the cyclic loading test and is comparable to that on the PET substrate. The recorded voltage-to-force values of the printed sensor on the fabric drifted upward and downward up to 3% over the loading cycles. The optical microscope observation on the cyclic loading samples showed signs of shear stresses on the printed silver and electrically conductive films, which could cause the tips of the silver interdigitating fingers to shatter. The study indicates that the properly manufactured circuits on fabric can be reliable and utilized for wearable applications. © 2022 IEEE.

4.
Chemical Engineering Journal ; 451, 2023.
Article in English | Scopus | ID: covidwho-2241923

ABSTRACT

In accordance with global economic prosperity, the frequencies of food delivery and takeout orders have been increasing. The pandemic life, specifically arising from COVID-19, rapidly expanded the food delivery service. Thus, the massive generation of disposable plastic food containers has become significant environmental problems. Establishing a sustainable disposal platform for plastic packaging waste (PPW) of food delivery containers has intrigued particular interest. To comprise this grand challenge, a reliable thermal disposable platform has been suggested in this study. From the pyrolysis process, a heterogeneous plastic mixture of PPW was converted into syngas and value-added hydrocarbons (HCs). PPW collected from five different restaurants consisted of polypropylene (36.9 wt%), polyethylene (10.5 wt%), polyethylene terephthalate (18.1 wt%), polystyrene (13.5 wt%), polyvinyl chloride (4.2 wt%), and other composites (16.8 wt%). Due to these compositional complexities, pyrolysis of PPW led to formations of a variety of benzene derivatives and aliphatic HCs. Adapting multi-stage pyrolysis, the different chemicals were converted into industrial chemicals (benzene, toluene, styrene, etc.). To selectively convert HCs into syngas (H2 and CO), catalytic pyrolysis was adapted using supported Ni catalyst (5 wt% Ni/SiO2). Over Ni catalyst, H2 was produced as a main product due to C[sbnd]H bond scission of HCs. When CO2 was used as a co-reactant, HCs were further transformed to H2 and CO through the chemical reactions of CO2 with gas phase HCs. CO2-assisted catalytic pyrolysis also retarded catalyst deactivation inhibiting coke deposition on Ni catalyst. © 2022 Elsevier B.V.

5.
Science of the Total Environment ; 857, 2023.
Article in English | Scopus | ID: covidwho-2239606

ABSTRACT

Rivers are undoubtedly the main pathway of waste dispersed in the environment that from land reaches oceans and seas increasing the amount of marine litter. Major cities are a great source of riverine litter as large urbanization can originate pressure on the integrated waste management resulting in litter entering the rivers. Within this study, we aim to investigate the dynamic of floating riverine macrolitter (items >2.5 cm) in the city of Rome before it reaches the sea by assessing the composition, amount, and seasonal trends of litter transported from the urban centre to the main river mouth of Tiber River. Visual surveys for a whole year (March 2021–February 2022) were conducted from two bridges, Scienza Bridge (in the city) and Scafa Bridge (at the main river mouth) and followed JRC/RIMMEL protocol for riverine litter monitoring. Overall, similar litter composition was observed from the city centre to the mouth with a prevalence of plastic material, mainly related to fragmentation process (i.e. plastic pieces) and single use items, mainly in food and beverage sectors. An extrapolated annual loading of 4 × 105 items/year was estimated at the main mouth of Tiber River. The litter flux seems to be influenced by the seasonal variability and hydrometeorological parameters. The frequency of size classes decreases with increasing size in both sites, and more than half of the recorded items were below 10 cm. Specific categories belonging to "other plastics” have been reported related to anti-Covid-19 behaviour such as face masks and beverage sector, e.g. bottle lids and rings. The main colour of plastics was white, suggesting weathering process of floating riverine litter. This study contributes to increasing knowledge of the origin, composition and spatiotemporal dynamics of riverine floating litter from the city and entering the sea. © 2022 Elsevier B.V.

6.
Textile Outlook International ; - (215):61-86, 2022.
Article in English | Scopus | ID: covidwho-2124319

ABSTRACT

The European yarn fairs for the autumn/winter 2023/24 season were held in a hesitant spirit, reflecting economic uncertainties affecting the whole of the textile and clothing industry. The industry has faced persistent disruptions to supply chains caused by lockdowns, which have continued to be imposed in major textile and clothing producing countries in an attempt to stem the spread of COVID-19. Furthermore, the war in Ukraine has introduced additional challenges—including difficulties in procuring raw materials and sharp increases in fuel and energy costs. At the same time, calls for the European textile and clothing industry to take action to reduce the damaging impact of its operations on the environment have intensified. It was evident at the fairs that many exhibitors had acknowledged these calls in the development of their product ranges for the autumn/winter 2023/24 season. Many had turned to using recycled waste materials in a bid to improve their sustainability credentials while some had implemented strategies aimed at reducing energy and water consumption and others had replaced materials derived from petroleum with natural materials. Several exhibitors had developed yarns made using materials derived from post-consumer waste polyethylene terephthalate (PET) plastic bottles. However, claims made about the environmental sustainability of such materials faced some challenges, given that synthetic fibres are known to be a cause of microplastics pollution. Yarns made from natural fibres, especially merino wool, were prevalent at the yarn fairs. However, there was a consensus among exhibitors that the industry is facing pressures to guarantee the welfare of the animals used in its supply chains. There was also a consensus that consumers are expecting manufacturers to be more responsible and transparent about the animal fibres they use. One of the ways in which manufacturers aim to meet these expectations in their product ranges for the autumn/winter 2023/24 season is to achieve compliance with international certification schemes, such as the Responsible Wool Standard (RWS). © Textiles Intelligence Limited 2022.

7.
Journal of Environmental Chemical Engineering ; 10(4), 2022.
Article in English | Scopus | ID: covidwho-1945561

ABSTRACT

Advancements in polymer science and engineering have helped the scientific community to shift its attention towards the use of environmentally benign materials for reducing the environmental impact of conventional synthetic plastics. Biopolymers are environmentally benign, chemically versatile, sustainable, biocompatible, biodegradable, inherently functional, and ecofriendly materials that exhibit tremendous potential for a wide range of applications including food, electronics, agriculture, textile, biomedical, and cosmetics. This review also inspires the researchers toward more consumption of biopolymer-based composite materials as an alternative to synthetic composite materials. Herein, an overview of the latest knowledge of different natural- and synthetic-based biodegradable polymers and their fiber-reinforced composites is presented. The review discusses different degradation mechanisms of biopolymer-based composites as well as their sustainability aspects. This review also elucidates current challenges, future opportunities, and emerging applications of biopolymeric sustainable composites in numerous engineering fields. Finally, this review proposes biopolymeric sustainable materials as a propitious solution to the contemporary environmental crisis. © 2022 Elsevier Ltd.

8.
Comp Biochem Physiol C Toxicol Pharmacol ; 257: 109340, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1767945

ABSTRACT

Over the last decade, pollution of plastics and antibiotics has increased in its threat to the environment and human health. However, very limited information is available concerning impact of co-presence of plastics and antibiotics on environment and human health. Moreover, the potential ingestion and inhalation of nano(micro)plastics due to the disposable materials has dramatically increased. With the outbreak and spread of the COVID-19 in the world, disposable surgical masks and plastic bottles have been widely used by the public, and their rapid use and improper dispensing can cause to increase plastic pollution risk on human. However, impacts of co-presence of nano(micro)plastics and antibiotics on pathogens have yet been demonstrated. Therefore, this study aims to investigate the impact the individual and combined influences of nano-sized plastics (surgical mask and plastic bottles) and antibiotics (amoxicillin and spiramycin) towards the main susceptible bacterium (Staphylococcus epidermidis, Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Pseudomonas aeruginosa) by microbial activity, biofilm formation and their biochemical characteristics. The results showed that antimicrobial efficiencies of the tested antibiotics were reduced (approximately 10-98%) with the plastics. Moreover, the biochemical pathways of the microbial activity changed by the plastics entrance. Polymer structure and sorption play the role on the reduction in the inhibition of pathogens. In the meantime, the biofilm formation changed and characteristic of the extracellular polymeric substance with the co-presence of plastics and antibiotics mostly depended on the polymer structure, exposure time and sorption.


Subject(s)
COVID-19 , Masks , Anti-Bacterial Agents/pharmacology , Escherichia coli , Extracellular Polymeric Substance Matrix , Humans , Microplastics , Plastics , Polymers , SARS-CoV-2
9.
9th International Conference on Orange Technology, ICOT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1752402

ABSTRACT

Suffering globally by COVID-19 since 2020 constrained learner and worker outdoors, of which campus and public area naturally met environmental protection issue. In such cases, a newly AI moveable application, naming Self-Driving Sweeper Bot (SDSB), is invented by intelligently coordinating between self-driving system and sweeper mechanism. In this paper, the perspective on SDSB in terms of human visual knowledge and intelligence between pedestrian security and sweeping efficiency in campus is reported. To reach such a goal, our investigation is shown that human visual knowledge and intelligence, played a critical role requiring routinely collecting and learning visual dataset, accompanied with optimizing procedure by exploring the object recognition methods e.g., CNN, R-CNN, Fast-RCNN and Yolo, for detecting campus objects (including, pedestrians, vehicles, common rubbishes, i.e. fallen leaves, waste papers, plastic bottles etc.), and image segmentation techniques e.g., U-net for constraining sweeping road. In the preliminarily experiments, observation is shown that the factors for object detection and road segmentation in terms of weather, sunshine direction and shadowing/non-shadowing by trees and facilities are highly influencing on SDSB visual intelligence. © 2021 IEEE.

SELECTION OF CITATIONS
SEARCH DETAIL