Air Filtration System Research Articles

PVC waste-derived nanofiber: Simple fabrication with high potential performance for PM removal in air filtration

The utilization of polymer waste in nanofiber membranes is still limited. This study successfully fabricated nanofiber membranes for air filtration using polyvinyl chloride (PVC) waste through electrospinning. The feed solution properties were observed by measuring viscosity and conductivity parameters at varying concentrations of PVC 10–30%, which, indeed, the concentration of PVC greatly affects the microstructure. The smallest fiber diameter was obtained with the addition of 10% PVC. However, it was found that the fiber has beads. Furthermore, the fiber diameter increased with a higher concentration of PVC without the formation of beads, in particular for the PVC concentration > 20%. The ultimate tensile strength was 3.36, 3.97, and 3.67 MPa for 20, 25, and 30% of PVC, respectively. Due to the PVC hydrophobic nature (contact angle value of 100–120°), the PVC waste nanofiber successfully reached the filtration efficiency of 94.35% for PM2.5 and 94.60% for PM0.3 filtration, with a relatively low-pressure drop of 119.12 Pa for fiber membrane with 20% of PVC waste. It implies that the quality factor (QF) is comparable to that of pure-polymer nanofibers or commercial air filters. Thus, the utilization of PVC waste-based nanofiber holds great promise for advancing air filtration systems.

Study on Exhaust Gas Characteristics of SI Engine Using Fuel (Gasoline) & HHO Gas

Experiments have been carried out to investigate the effect of HHO gas on the emission and performance of SI engines. Water was converted into hydrogen and oxygen consisting of a 2:1 volume ratio by electrolysis process, which is called HHO (oxyhydrogen gas). An HHO fuel cell had been fabricated to generate the HHO gas required to feed the engine. This HHO is then mixed with filtered air, which is after the air filter system and before the inlet manifold system of the vehicle. In this investigation, a 125-cc single-cylinder 4-stroke air-cooled engine was used. The exhaust gas characteristics were sampled and measured using a gas analyzer. It was observed that when HHO gas had been introduced into the air/fuel mixture, it consequently reduced the concentration of NO, NOx, CO, engine temperature, and HC by about 50%, 50%, 38%, 5% & and 45% respectively. Also, a reduction in fuel consumption is noticed for the same engine RPM and load conditions when HHO gas was imported into the A/F mixture. Also, when HHO is introduced into the system, the concentration of O2 CO2 increases by about 50% and 23% respectively.

Advancing urban agriculture and air quality in edge computing environments through integrated small-scale plant-based filtration systems

This paper introduces the integrated Small-Scale Plant-Based Air Filtration (SPAF) system, a novel integration of air filtration and urban agriculture, specifically designed for edge computing free cooling in urban environments. The SPAF's modular design enables extensive customization to meet various air quality requirements and agricultural needs. Through evaluation across different scenarios, the system has proven its effectiveness in particulate matter reduction, with a single unit showcasing substantial initial filtration efficiency, and even greater performance when multiple units are utilised in series. Beyond its air filtration capabilities, the SPAF system also contributes to urban agriculture, expanding planting areas and supporting the growth of local produce, thereby aligning with global sustainability objectives. Despite its promising applications, challenges such as the variability in filtration performance across different plant species, external climates, and the inability to ensure complete particulate matter removal, underscore the need for further research and potential integration with other purification technologies.

Revolutionizing Airborne Virus Defense: Electromagnetic MXene-Coated Air Filtration for Superior Aerosol Viral Removal.

The COVID-19 pandemic sparked public health concerns about the transmission of airborne viruses. Current methods mainly capture pathogens without inactivation, leading to potential secondary pollution. Herein, we evaluated the inactivation performance of a model viral species (MS2) in simulated bioaerosol by an electromagnetically enhanced air filtration system under a 300 kHz electromagnetic induction field. A nonwoven fabric filter was coated with a 2D catalyst, MXene (Ti3C2Tx), at a coating density of 4.56 mg·cm-2 to absorb electromagnetic irradiation and produce local heating and electromagnetic field for microbial inactivation. The results showed that the MXene-coated air filter significantly enhanced the viral removal efficiency by achieving a log removal of 3.4 ± 0.15 under an electromagnetic power density of 369 W·cm-2. By contrast, the pristine filter without catalyst coating only garnered a log removal of 0.3 ± 0.04. Though the primary antimicrobial mechanism is the local heating as indicated by the elevated surface temperature of 72.2 ± 4 °C under the electromagnetic field, additional nonthermal effects (e.g., dielectrophoresis) on enhanced viral capture during electromagnetically enhanced filtration were investigated by COMSOL simulation to delineate the potential transmission trajectories of bioaerosol. The results provide unique insights into the mechanisms of pathogen control and thus promote alternative solutions for preventing the transmission of airborne pathogens.

One-Step Fast Fabrication of Electrospun Fiber Membranes for Efficient Particulate Matter Removal.

Rapid social and industrial development has resulted in an increasing demand for fossil fuel energy, which increases particulate matter (PM) pollution. In this study, we employed a simple one-step electrospinning technique to fabricate polysulfone (PSF) fiber membranes for PM filtration. A 0.3 g/mL polymer solution with an N,N-dimethylformamide:tetrahydrofuran volume ratio of 3:1 yielded uniform and bead-free PSF fibers with a diameter of approximately 1.17 μm. The PSF fiber membrane exhibited excellent hydrophobicity and mechanical properties, including a tensile strength of 1.14 MPa and an elongation at break of 116.6%. Finally, the PM filtration performance of the PSF fiber membrane was evaluated. The filtration efficiencies of the membrane for PM2.5 and PM1.0 were approximately 99.6% and 99.2%, respectively. The pressure drops were 65.0 and 65.2 Pa, which were significantly lower than those of commercial air filters. Using this technique, PSF fiber membrane filters can be easily fabricated over a large area, which is promising for numerous air filtration systems.

IoT based solar powered air purifier with air quality monitoring system

The cornerstone of combating indoor air pollution sustainably lies in integrating solar electricity into air purification systems. This not only addresses airborne pollutants but also reduces reliance on traditional power sources, promoting environmental preservation and cost savings. The system's effectiveness hinges on real-time AQM and advanced filtering techniques, powered by solar energy. By leveraging solar power, it operates ecoconsciously while maximizing indoor air quality impact. Its design emphasizes energy efficiency without compromising purification efficacy, effectively eliminating allergens, pollutants, and Real-time monitoring empowers users to make informed environmental adjustments by tracking various metrics simultaneously. This comprehensive approach fosters sustainability, efficiency, and real-time control, crucial for enhancing indoor air quality. Additionally, its reliance on solar energy aligns with global efforts towards renewable energy adoption, reducing its ecological footprint. In summary, this solar-powered air filtration system signifies a paradigm shift in combating indoor air pollution, embodying the fusion of sustainability, innovation, and health-conscious design for a healthier indoor environment.

Outdoor design PM2.5 concentration method for fresh air systems based on dual-carbon target: A case study of urban economic regions from China

Under the goal of ?achieving carbon peak by 2030 and carbon neutrality by 2060?, how to select the type of fresh air system has become a key area of ener?gy conservation. The method of outdoor design PM2.5 concentration is one of the important factors affecting the selection of fresh air filtration system. This paper first analyzed the PM2.5 concentration values of 31 cities in China from 2017 to 2020 based on mathematical induction, and next gave the recommended coeffi?cient K under six urban economic regions methods in combination with the actual situation. Finally, the selection of air filters in five typical cities was taken as an example, the differences in recommended coefficient K and selection of outdoor design PM2.5 concentration under different recommended methods were compared and analyzed. The results showed that the recommended coefficient K under the six economic regions could meet the required K value needs of the region. The recommended coefficient K by the six economic regions methods based on per capita GDP is the best. Under that conditions, the recommended coefficient K of the five typical cities under strict and normal conditions differs from the average K values of the six methods by 0.06 and 0.04. This paper will provide a new method for the correct selection of outdoor design PM2.5 concentration in fresh air systems to achieve the dual carbon energy-saving goal.

Postepidemic Epidemiology of Porcine Epidemic Diarrhea Virus in the United States

Porcine epidemic diarrhea virus (PEDV) emerged in the United States (U.S.) swine population in 2013, initiating an initial significant epidemic followed by a state of endemicity in the U.S. Despite continued monitoring, the epidemiology of PEDV during its endemic phase remains inadequately researched. Our study aimed to characterize the spatial–temporal distribution of postepidemic PEDV cases in the U.S. breeding herd and identify associated risk factors. Data from 1089 breeding farms in 27 states, reported to the Morrison Swine Health Monitoring Project from July 2014 to June 2021, were analyzed. We stratified the data into six U.S. regions and employed SaTScan for spatiotemporal permutation and cluster analysis. Survival analysis was used to assess risk factors. A notable seasonal clustering of PEDV cases was observed in winter (January–March; p = 0.001, relative risk = 2.2) with regional variation. Ten high‐rate spatial–temporal clusters (p < 0.05) were identified ranging from 2.5 to 833.7 km2 and lasting 1–5 months, occurring in four regions between 2015 and 2021. For the study period, a total of 625 cases of PEDV were recorded on 372 farms. The total number of PEDV cases decreased from 95 breeding farms in 32 counties (2014–2015) to 53 farms in 28 counties (2020–2021), indicating an overall reduction in occurrence and spatial extent. Feed mitigants demonstrated a protective effect, significantly reducing the risk of PEDV occurrence (hazard ratio = 0.3, p = 0.003), while air filtration systems exhibited marginal benefits (hazard ratio = 0.3, p = 0.06). Other important risk factors included county farm density with farms in high‐density regions (>31 farms/100 km2) being 1.3 times more likely to experience outbreaks than in medium‐density regions (13–31 farms/1000 km2; p < 0.001). Additionally, farms in region E had higher odds of outbreaks compared to region B. The overall decline in PEDV cases and reduced spatial extent reflect industry efforts in postepidemic control and elimination. The protective effects of feed mitigants warrant further investigation. Our findings underscore the opportunity for coordinated efforts to eliminate PEDV in the U.S. and emphasize the need for comprehensive risk profiling associated with industry practices.

Investigation of the Effect of Airborne Contaminants on PEM Fuel Cell Stack Performance and Degradation Using Electrochemical Impedance Spectroscopy, AVL Thda™ and FTIR Gas Analyzer

Air pollution is still a bitter truth in many locations in the world. In highly populated regions like metropolitan areas as well as in agricultural areas there are various airborne contaminants which can be harmful to organisms. Also fuel cells, especially PEMFC are sensitive to airborne contaminants.In most mobile and stationary PEM fuel cell systems, ambient air is used as oxidant gas at the cathode of the fuel cell. It is cost and weight saving because there is no need to install additional tank for pure oxygen and to refill it, but the performance of fuel cell can suffer beyond the oxygen gain from airborne contaminants, which also have the potential to accelerate degradation. To prevent that airborne contaminants reach the fuel cell cathode, air filter systems consisting of particle filter and additional activated carbon filter are installed at the cathode inlet.The focus here is on the investigation of the use of AVL THDAtm method to detect effects of airborne contaminants. THDA (total harmonic distortion analysis) is a patented online fuel cell monitoring method based on analyzing harmonic distortion effects of voltage drifts instead of single cell voltage measurement. So far it was successfully demonstrated for the detection of water issues like flooding and drying, and for low media supply issues on both cathode and anode side [1, 2].For the development and validation of the method, experiments with a PEMFC stack are going to be done on a fuel cell testbed equipped with an AVL X-Ion impedance analyzer. Specific air pollutant gases ammonia (NH3), sulfur dioxide (SO2) and nitrogen oxides (NOx) are going to be mixed into the cathode air in the ppb range. Their effects on PEMFC stack performance are going to be investigated with electrochemical impedance spectroscopy (EIS) and total harmonic distortion analysis. The cathode exhaust gas is also going to be analyzed by an FTIR gas analyzer.It is planned to test the PEMFC stack under different operating conditions, with various parameters and different cathode gas mix ratios while monitoring possible conversion of impurities via FTIR and the stack state of health using THDA and conventional technologies to understand the link between the effect of airborne contaminants on fuel cell stack performance, on its lifetime and to determine possible early indicators in the THDA signals.

Reduction of Outdoor and Indoor PM2.5 Source Contributions via Portable Air Filtration Systems in a Senior Residential Facility in Detroit, Michigan.

Background: The Reducing Air Pollution in Detroit Intervention Study (RAPIDS) was designed to evaluate cardiovascular health benefits and personal fine particulate matter (particulate matter < 2.5 μm in diameter, PM2.5) exposure reductions via portable air filtration units (PAFs) among older adults in Detroit, Michigan. This double-blind randomized crossover intervention study has shown that, compared to sham, air filtration for 3 days decreased 3-day average brachial systolic blood pressure by 3.2 mmHg. The results also showed that commercially available HEPA-type and true HEPA PAFs mitigated median indoor PM2.5 concentrations by 58% and 65%, respectively. However, to our knowledge, no health intervention study in which a significant positive health effect was observed has also evaluated how outdoor and indoor PM2.5 sources impacted the subjects. With that in mind, detailed characterization of outdoor and indoor PM2.5 samples collected during this study and a source apportionment analysis of those samples using a positive matrix factorization model were completed. The aims of this most recent work were to characterize the indoor and outdoor sources of the PM2.5 this community was exposed to and to assess how effectively commercially available HEPA-type and true HEPA PAFs were able to reduce indoor and outdoor PM2.5 source contributions. Methods: Approximately 24 h daily indoor and outdoor PM2.5 samples were collected on Teflon and Quartz filters from the apartments of 40 study subjects during each 3-day intervention period. These filters were analyzed for mass, carbon, and trace elements. Environmental Protection Agency Positive Matrix Factorization (PMF) 5.0 was utilized to determine major emission sources that contributed to the outdoor and indoor PM2.5 levels during this study. Results: The major sources of outdoor PM2.5 were secondary aerosols (28%), traffic/urban dust (24%), iron/steel industries (15%), sewage/municipal incineration (10%), and oil combustion/refinery (6%). The major sources of indoor PM2.5 were organic compounds (45%), traffic + sewage/municipal incineration (14%), secondary aerosols (13%), smoking (7%), and urban dust (2%). Infiltration of outdoor PM2.5 for sham, HEPA-type, and true HEPA air filtration was 79 ± 24%, 61 ± 32%, and 51 ± 34%, respectively. Conclusions: The results from our study showed that intervention with PAFs was able to significantly decrease indoor PM2.5 derived from outdoor and indoor PM2.5 sources. The PAFs were also able to significantly reduce the infiltration of outdoor PM2.5. The results of this study provide insights into what types of major PM2.5 sources this community is exposed to and what degree of air quality and systolic blood pressure improvements are possible through the use of commercially available PAFs in a real-world setting.

The effect of location and method of tooth preparation on aerosol and splatter mitigation

Abstract Objectives: This study investigated the influence of tooth position within the quadrant and method of tooth preparation on aerosol and splatter reduction by suction techniques. Materials and methods: Using four suction techniques, tooth preparation was done using fast handpiece and combined air and water spray on tooth #28, #29 and #30. Splatter, aerosol and total sound generated were recorded. Two-way analysis of variance and posthoc pairwise comparisons compared amount of aerosol, spatter and total sound among suction techniques, tooth location and method of preparation. Results: There were statistically significant more splatter (P &lt; 0.000) for tooth preparation with air and water spray compared with high-speed handpiece for all suction techniques, but no significant difference in aerosol and total sound (P &gt; 0.05) was recorded. A significant reduction in environmental splatter during tooth preparation of the distal tooth #30 by all suction methods was observed compared with tooth #28. However, there was no significant difference in the amount of face shield, chest, right arm and left arm splatter, aerosol and total sound based on tooth location. Overall, the prototype suction device had statistically significant less environmental splatter (P &lt; 0.001) and aerosol (P = 0.004) than the conventional HVE device. Conclusions: The method of tooth preparation affected splatter mitigation by suction techniques but had no influence on aerosol mitigation. Mitigation of environmental splatter by suction techniques was affected by tooth position within the arch. The prototype suction device reduced environmental spatter and aerosol more than the conventional HVE device. Clinical Significance: The variations observed in aerosol and splatter mitigation based on tooth preparation methods and tooth location provides evidence for adjunctive means of reducing risk of direct transmission of infection in the dental practice such as combining strategies of protective equipment, improved room ventilation and use of air filtration system.

Experimental study on the optimal performance of gas turbine (GT) inlet air filtration system for offshore application

An experimental study on the optimal gas turbine inlet air filtration system performance for offshore applications is presented. The objective is to conduct a comparative real-time data analysis for an offshore selection of optimal filtration system. Different filtration configurations were set up in a wind tunnel under simulated offshore environmental settings. The considered filter grades (A, B, C, D, E and F) align with the ASHRAE filter class (F7, H12, E11, E10, G5 and F9). Offshore contaminants weighing 1000 g, ranging between 0.05 and 20 µm, were used based on ASTM standards. The contaminants were loaded between 20 and 100% mass. The results indicate that the accumulated contaminant across the filter elements at 100% loading for A, B, C, D, and E filters ranged between 205.36 and 318.02 g. Similarly, the pressure differential change across the filters A–B, D–E, B–C, E–F, and filter housing inlet–outlet were estimated at 19.02 kPa, 16.9 kPa, 2.54 kPa, 2.86 kPa, and 2.25 kPa, respectively, while the particle removal efficiency for A, C and D filters were highest calculated at 53%, 58.22% and 51.69%, respectively. The result proved significant, with an overall improvement in the compressor output at 205 kW for a pressure change of 2.25 kPa at the filter housing outlet used to establish the optimal performance. The filter elements recorded decreased efficiency across the compressor stages due to mass accumulation on the media surface area. The study inferred that a 3-stage filtration with filter combination A–B (F7–H12), D–E (E10–G5), and B–C (H12–E11) is suitable for an inlet filtration system for GTs operating within the studied offshore environment.

Detection of SARS-CoV-2 in high-efficiency particulate air (HEPA) filters of low-cost air purifiers in community-based organizations

This study aims to investigate the presence of SARS-CoV-2 in public spaces and assess the utility of inexpensive air purifiers equipped with high-efficiency particulate air (HEPA) filters for viral detection. Samples were collected from six community-based organizations in underserved minority neighborhoods in Northwest Miami, Florida, from February to May 2022. Reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was used to detect SARS-CoV-2 in air purifier filters and surface swabs. Among 32 filters tested, three yielded positive results, while no positive surface swabs were found. Notably, positive samples were obtained exclusively from child daycare centers. These findings highlight the potential for airborne transmission of SARS-CoV-2 in indoor air, particularly in child daycare centers. Moreover, the study demonstrates the effectiveness of readily available HEPA filters in detecting the virus. Improving indoor ventilation and implementing air filtration systems are crucial in reducing COVID-19 transmission where people gather. Air filtration systems incorporating HEPA filters offer a valuable approach to virus detection and reducing transmission risks. Future research should explore the applicability of this technology for early identification and mitigation of viral outbreaks.

Explicit Expressions for a Mean Nanofibre Diameter Using Input Parameters in the Process of Electrospinning.

The process of electrospinning is subject to a variety of input parameters ranging from the characterization of polymers and solvents, the resulting solutions, the geometrical configuration of the device, including its process parameters, and ending with crucial parameters such as temperature and humidity. It is not possible to expect that functional expressions relating all these parameters can be derived in a common description. Nevertheless, it is possible to fix the majority of these parameters to derive explicit relations for a restricted number of entry parameters such that it contributes to the partial elimination of the classical trial-and-error method saving time and financial costs. However, several contributions providing such results are rather moderate. Special attention is provided to fibre diameter approximation as this parameter strongly influences the application of nanofibrous mats in various instances such as air filtration, tissue engineering, and drug delivery systems. Various difficulties connected with the derivation of these explicit relations are presented and discussed in detail.

Plasma air filtration system for intercepting and inactivation of pathogenic microbial aerosols

Pathogenic microbial aerosols (PMAs) are significant environmental hazards in built environments, posing a major threat to human health. To combat this issue, we have developed an innovative plasma air filtration system (PAFS) that combines a corona discharge array with a metal foam. The PAFS effectively filters PMAs while simultaneously eliminating microorganisms. Its modular design allows for portability, easy cleaning, and reusability, making it a cost-effective long-term solution. The plasma air purifier (PAP), built upon the PAFS, achieves an impressive filtration efficiency of 91.5 % and successfully inactivates bacteria, fungi, and 99.32 ± 0.15 % of the H1N1 virus in diverse environments. The inactivation mechanisms involve oxidizing bacterial cell membranes and viral envelopes through gaseous plasma reactive species. Additionally, captured aerosols are rapidly evaporated by the ionic wind, leading to pathogen inactivation. The PAP's ozone and ion output adheres to environmental protection standards, making it a promising approach to improve air quality and control airborne infections in built environments.

Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm

It is known that in crowded environments such as educational institutions and workplaces, keeping indoor air quality and climate within certain limits contributes to success and production. For this purpose, a system has been developed to ensure air quality well-being in working environments. In our study, the Arduino processor managed by the fuzzy logic control system (FLC) starts to work with the trigger of the motion sensor HC-SR501. The inputs of the FLC system are defined as LM-35 sensor for temperature, DHT-11 for humidity, MQ-135 for air quality, MQ-9 sensor for CO and explosive gas. The designed system evaluates the instantaneous data obtained from the fuzzy logic system rule base and decides which of the output air filter, heater and alarm systems will operate at what speed. In order to increase system efficiency, fuzzy logic input membership values are optimized by genetic algorithm.

Semi-empirical equation for determining the pressure drop of nanofibers

Air pollution, particularly the presence of particulate matter, has been linked to increased mortality rates. Air filtration is a widely used method to reduce exposure to airborne particles and protect public health. Nanofiber filter media has gained attention due to its ability to efficiently remove nanosized particles while minimizing pressure drop. However, accurately predicting the pressure drop in nanofiber media, which is influenced by the slip flow effect, remains a challenge. In this study, a simple semi-empirical equation was developed to calculate the pressure drop across nanofiber filter media. The model considers various filter parameters such as diameter, thickness, and solidity. Existing theoretical and empirical models were compared with experimental data, revealing limitations in accurately predicting pressure drop in nanofibers. To address this, a new empirical model, proposed by Bian, was examined. However, the Bian model demonstrated limited applicability due to its specific range of solidities. Numerical simulations were conducted to obtain additional pressure drop data, and a total of 107 cases were tested across various filter parameters. The simulations were performed using the Stokes equation to account for the low Reynolds numbers associated with nanofibers. The developed semi-empirical model provides a practical tool for analyzing the effect of filter parameters on nanofiber filter media's pressure drop, aiding in the design of efficient air filtration systems.

Helping WWTP managers to address the volatile methylsiloxanes issue–Behaviour and complete mass balance in a conventional plant

Volatile methylsiloxanes (VMSs) are a group of additives employed in different consumer products that can affect the quality of the biogas produced in wastewater treatment plants (WWTPs). The main objective of this study is to understand the fate of different VMSs along the treatment process of a WWTP located in Aveiro (Portugal). Thus, wastewater, sludge, biogas, and air were sampled in different units for two weeks. Subsequently, these samples were extracted and analyzed by different environment-friendly protocols to obtain their VMS (L3-L5, D3-D6) concentrations and profiles. Finally, considering the different matrix flows at every sampling moment, the mass distribution of VMSs within the plant was estimated. The levels of ∑VMSs were similar to those showed in the literature (0.1–50 μg/L in entry wastewater and 1–100 μg/g dw in primary sludge). However, the entry wastewater profile showed higher variability in D3 concentrations (from non detected to 49 μg/L) than found in previous studies (0.10–1.00 μg/L), likely caused by isolated releases of this compound that could be related to industrial sources. Outdoor air samples showed a prevalence of D5, while indoor air locations were characterized by a predominance of D3 and D4. Differences in sources and the presence of an indoor air filtration system may explain this divergence. Biogas was characterized by ∑VMSs concentrations (8.00 ± 0.22 mg/m3) above the limits recommended by some engine manufacturers and mainly composed of D5 (89%). Overall, 81% of the total incoming mass of VMSs is reduced along the WWTP, being the primary decanter and the secondary treatment responsible for the highest decrease (30.6% and 29.4% of the initial mass, respectively). This reduction, however, is congener dependant. The present study demonstrates the importance of extending sampling periods and matrices (i.e., sludge and air) to improve sample representativity, time-sensitivity, and the accuracy of mass balance exercises.

Design and implementation of a novel dust collector controller for powder production industry

Industries those work with powder either in production or processing always left a portion of industrial dust in the air. By releasing this air directly in the surrounding environment of the industry pollution occurs. Therefore air filtration system is mandatory in these industries and usually bag filter dust collector controller is used. To control and maintain the proper functionality of the bag filtration system PLC based control system or a modular control board is used. In this paper, a novel dust collector controller is designed which can be installed by any user without having any programming knowledge. The main control keys of the control board are the pulse duration and pulse interval which drive the solenoid valves to release air pressure on the filter bags sequentially. Pulse duration can be controlled in the range of 0.01-0.9 seconds and pulse interval can be varied in the range of 1-99 seconds to control 10 rows of pulse jet simultaneously connected with the solenoid valve. The Number of rows can be adjusted and expanded if required. Moreover, noiseless switching provides silent operational functionalities and switching durability as well as the addition of surge controller ensures a complete protection from any sudden high electrical surge. The finally developed prototype was tested in different industries and provides maximum operational efficiency, which can effectively control online bag filter dust collector to separate micro dust particles from the polluted air.

Design of a two-stage air monitoring and filtration system for implementation in enclosed spaces

The objective of this paper is to develop an air quality monitoring system implemented indoors. Our research is qualitative approach and a descriptive scope, since, the measurement of CO2 levels will be performed from an automated system that will be monitoring this parameter and to determine whether the air quality is adequate or air recirculation is required. The study focused on the detection of carbon dioxide CO2 over a 12-day period. The results obtained from the monitoring system show average values of 600 ppm for the dirty air sensor, while values of 488 ppm were obtained at the system output. Therefore, the performance of the system for air filtration is verified