International Journal of Engineering Research and Sustainable Technologies (IJERST)

OPTIMIZING RELIABILITY: "SOLUTIONS FOR EXTENDING ROLLER AND SHOE LIFESPAN IN COMMON RAIL FUEL INJECTION PUMPS"

Ramesh Veerasamy — 2023-12-25

The objective of the paper to fulfill the customer requirement through quality, cost, delivery and service by the manufacturer. Never ending quality improvement is now recognized as essential for any organization. The objective of this project is to analyze, identify root cause, study and implement the change for a customer quality concern in hydraulic head, one of the parts in high pressure common rail fuel injection pump part. I attempt here to present the objective of the project a unique and workable approach to that method we have adopted. In spite of many improvements (DLC Coating) on the roller to improve the wear, TATA motors, one of the main customers of us is complaining on roller and shoe wear on the common rail fuel injection pump. The complaint recorded as 30 to 40IPTV considering the period of 24 MIS. This wear directly affects the working function of pump and finally leads to pump seizure. With the back ground I have taken up this project. We have planned to collect all the data about this complaint. Finally we the team had analyzed and identified the root cause and identified the scope of improvement to be done on Hydraulic head one of the fuel injection part where the roller has contact with this part in order to eliminate the roller and shoe wear. So the scope of my project will be fully based on analyzing the possible root cause, study possible changes, improvement in design, implement the change, validate and monitor the performance and analyze the future scope of work.

EFFICIENCY SUSTAINABILITY OF AIR TRAFFIC CONTROL AND MANAGEMENT SYSTEM IN AVIATION SECTOR

Vijaya Bhaskara Reddy. M — 2023-12-25

The rapid advancement of cutting-edge technology has reshaped the global dynamics of the airline sector, elevating the significance of service quality, effectiveness, and protection. As a vital contributor to national economic growth and a public utility, aviation's expansion has directly impacted businesses in the service sector, leading to increased operational opportunities for hotels, restaurants, and travel agencies. This article addresses the challenges within Air Traffic Management (ATM), focusing on the aviation industry's primary concerns. With the continuous growth of aviation traffic, there is a pressing need to enhance security, productivity, and environmental sustainability. The article aims to stimulate business innovation and collaboration in advanced study areas such as dynamic airspace management (DAM), air traffic flow management (ATFM), and collaborative/non-collaborative surveillance. The proposed frameworks, based on Clean Sky and NextGen, incorporate 4D Trajectory Optimization techniques, advanced surveillance technologies, and data link connections to establish a foundation for ATM industry development. Additionally, the research explores adaptive Human-Machine Interface and Interaction (HMI2) forms to automate the assessment and negotiation of aircraft intentions, thereby improving the efficiency and security of ATM operations. The study also addresses specific requirements for cooperative and non-cooperative Detect-and-Avoid (DAA) systems for Remotely Piloted Aircraft Systems (RPAS) within the evolving CNS+A process, ensuring their safe and unrestricted access to all airspace types.

AN EFFICIENT AIR QUALITY INDEX MONITORING AND PREDICTION SYSTEM USING FEMTO SAT TECHNOLOGY AND MACHINE LEARNING

Kanishka Selvam — 2023-12-25

In recent times, the global population surge has led to a parallel increase in air pollution levels, posing significant threats to the economy, environment, and public well-being. Traditionally, air pollution is measured by placing sensors on buildings spaced a certain distance apart. Nevertheless, there are disadvantages to this strategy, such as higher power consumption for sensor operation in each house and restricted application in remote areas with inadequate infrastructure. Using satellite data from FEMTOSAT for autonomous air pollution monitoring, analysis and mitigation emerges as a ground-breaking solution to these problems. This innovative approach circumvents the limitations associated with traditional methods, offering a more comprehensive and versatile solution. FEMTOSAT leverages the capabilities of LoRa (Long Range) communication, a crucial component in the Internet of Things (IoT), enabling data transmission over extended distances while consuming minimal power. LoRa communication is essential to the FEMTOSAT installation because it makes information sharing between the satellite and ground stations easier. Data is transmitted and received using radio frequency (RF) impulses, which make for a dependable and effective form of communication. The Air Quality Index (AQI) for a particular place is then determined using the environmental data that was gathered by the satellite. An important metric for measuring air quality, the AQI provides information about the degree of pollution or cleanliness in a particular place. The AQI is determined by a number of factors, including the concentrations of pollutants including NO2, CO, O3, PM2.5, SO2, and PM10. Making use of machine learning (ML) techniques such as Support Vector Machines (SVM), direct regression, time series analysis and logistic regression to forecast and analyse AQI trends makes it very efficient. One of the distinctive features of this study is the development of AQI mappings, which are derived from the comprehensive AQI data collected at specific locations. It has been shown via thorough investigation that ML-based AQI prediction models are more consistent and dependable overall. Accuracy and precision have been ensured in the data collection process through the simplified integration of new technology and smart sensors. Only machine learning algorithms can manage the complex analysis needed to produce safe and reliable predictions from large datasets in the field of environmental monitoring. The main objective of this effort is exemplified by the integration of Integrated Sensors as the payload in the FEMTOSAT mission. The benefits of the system—such as its affordability, lightweight construction, resilience, redundancy and low power consumption—highlight FEMTOSAT's applicability and effectiveness in handling the intricate problems related to air pollution monitoring.

H2S GAS SENSING PERFORMANCES OF PURE AND COPPER DOPED CADMIUM SULPHIDE NANOMATERIALS

Tharnish Gunasekaran — 2023-12-25

In recent years, the demand for efficient and sensitive gas sensors has significantly increased due to their crucial role in various industrial and environmental applications. This study focuses on the development and characterization of copper-doped cadmium sulfide (CdS) films as potential gas sensing materials for hydrogen sulfide (H2S) detection. The synthesis process involved a cost-effective and scalable method, aiming to enhance the sensitivity and selectivity of CdS thin films towards H2S gas. The fabricated films were systematically investigated for their structural, morphological, and gas sensing properties. The obtained results demonstrate the promising potential of copper-doped CdS films as high-performance gas sensors for H2S detection, opening avenues for further advancements in gas sensing technology.

COMPARATIVE STUDY ON COMPRESSIVE STRENGTH OF SELF COMPACTING CONCRETE WITH HIGH VOLUME OF FLY ASH AND GGBS

K.Umapathi — 2023-12-25

The boon of industrial revolution is the great transformation of rural to urban due to the growth of industries. At the same time our earth has to face the threat to manage the industrial waste. To Ensure the 12th SDG goal, sustainable consumption and production patterns, the ingredients of SCC like fine aggregate and binding material can be replaced and reused by the industrial waste. The application of Self-compacting concrete (SCC) was improved widely in the construction industry to overcome the labour scarcity. Fly ash and GGBS the residue of the iron and steel plant waste can be replaced to cement in high volume to achieve the SCC workability properties. Nine mix designs with replacement of fly ash and GGBS were designed along with one control mix. In all mix design the weight of binding material is maintained the same whereas the water to cement ratio is adjusted with the by product weight ratio. The wet concrete tests were done for each batch and the results are compared to the EFNARC limiting values. [5]. The characteristic cube strength was found under universal testing machine at 28 days after proper curing. The target strength achieved by the SCC cubes with varying percentages, ranges from 26 to 48MPa. The strength and the cost based analysis can lead to produce self compacting concrete with fly ash & GGBS economically.

Message from Editorial Desk

Dr.Ramesh Babu — 2023-12-25

Message from Editorial Desk

Dear Readers,

It is with great pleasure that we announce the upcoming release of the second issue of the International Journal of Engineering Research and Sustainable Technologies (IJERST). As we continue our journey to promote advancements in engineering research and sustainable technologies, we are excited to bring you a diverse array of cutting-edge articles, insightful research findings, and innovative solutions to pressing global challenges.

We are thrilled to share that IJERST has been granted an ISSN (International Standard Serial Number) for its online publication. This milestone not only signifies the journal's official recognition and registration but also underscores our commitment to adhering to international standards of scholarly publishing. With this ISSN, our readers can easily access and cite our articles, further enhancing the visibility and impact of the research published in IJERST.

Furthermore, we are diligently working towards obtaining Digital Object Identifiers (DOIs) for our articles. DOIs provide a permanent and unique identifier for each published article, ensuring its citability and accessibility over time. This additional feature will enhance the credibility and reliability of our journal, reaffirming our dedication to fostering excellence in scholarly communication.

We extend our sincere gratitude to our esteemed authors, dedicated reviewers, and supportive editorial board members for their invaluable contributions to IJERST. Your commitment to advancing engineering research and sustainable technologies is truly commendable, and we are honoured to showcase your work in our journal.

We invite our readers to explore the upcoming second issue of IJERST, where you will find a wealth of knowledge, innovation, and inspiration. Together, let us continue to push the boundaries of engineering research and pave the way towards a more sustainable future.

Thank you for your continued support and enthusiasm for IJERST.

Warm regards,

On behalf of Editorial Team

Dr.V.RameshBabu

Managing Editor

Dean-University Journal , Dr.M.G.R. Educational and Research Institute

Chennai,Tamilnadu,India

dean-univ.journals@drmgrdu.ac.in / ijerst@drmgrjournals.org