Asian Journal of Convergence in Technology
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Effect of Fused Deposition Modelling Parameters on the Mechanical Properties of ABS/GP Parts: An Experimental Approach
Get PDFThe purpose of this paper is to examine the effect of process parameters on ABS/GP parts made by fused deposition modeling (FDM). Several parameters of the FDM process affect the parts produced, such as part build orientation, layer height, raster width, infill percentage, and infill pattern. To achieve these objectives, it is necessary to gain a better understanding of the process parameters of FDM to reduce the building time, increase mechanical strength, and enhance part quality. The effect of process parameters on the specimen's tensile strength and modulus of elasticity is investigated using Taguchi's design of experiment (DOE) and analysis of variance (ANOVA). Analyzing experimental data led to the identification of optimal parameters. 
Implementation of Industry 4.0 Technologies in Technical and Vocational Education in Maharashtra
Get PDFLot of transformation in industries in all areas are due to Industry 4.0 technologies including Internet of things, (IoT), Artificial Intelligence (AI), Robotics, data analytics, Automation etc. which requires skill development among employees. The industrial training institutes and vocational courses must integrate these technologies in their courses for using Industry 4.0. This research aims to apply Industry 4.0 in technical and vocational education with enhanced quality and in alignment with the demands of modern industries. The main focus being on upgrading infrastructure, making curricula modern, training to faculties, and promoting industry collaboration to develop a skilled workforce expert in Industry 4.0 technologies. Key components include the establishment of smart labs equipped with IoT-enabled devices, Augmented Reality and Virtual Reality tools, and robotics systems; the inclusion of Industry 4.0 elements into the curriculum; and the imparting of hands-on training through industry partnerships and exposure to live projects. There are various phases of implementation like planning and pilot implementation, statewide rollout, monitoring, evaluation and continuous improvement. Expected outcomes include improved employability of vocational graduates, enhanced industry collaboration, and remarkable reduction in the skill gap. By equipping students with Industry 4.0 skill sets and knowledge to create a future-ready manpower capable of driving innovation and getting economic growth. The scalable model developed through this initiative will ensure widespread adoption of Industry 4.0 in vocational education systems. This research represents a significant step towards modernizing vocational education, fostering industry-academia collaboration, and preparing the workforce for the challenges and opportunities that will be due to the Fourth Industrial Revolution
Natural Fiber-based Composite Materials to Enhance the Vibration Damping in Automotive Bonnet
Get PDFVibrations play a major role in causing fatigue and shortening the lifespan of automotive parts. These vibrations mainly stem from the vehicle's design and construction, road conditions, and driving behaviors, which together hinder the performance of various parts. It is crucial to reduce vibrations in key safety components to ensure the overall performance of the vehicle. The quest for enhanced vehicle performance has resulted in a growing interest in utilizing natural fibers to improve vibration damping properties in automotive applications
Creep-Fatigue Behavior of Additively Manufactured Inconel 718: Mechanisms and Challenges
Get PDFThis review critically examines the creep-fatigue behavior of additively manufactured (AM) Inconel 718, emphasizing distinctions from conventionally processed forms due to unique microstructures and process-induced defects. Beginning with an overview of creep-fatigue mechanisms and test methods, the paper explores how AM processes such as SLM, EBM and DED produce columnar grains, Laves and į phases, anisotropy and porosity—features that significantly affect cyclic softening, stress relaxation and crack growth.
The influence of post-processing treatments, including solution annealing, aging and HIP, is analyzed in terms of phase evolution, defect mitigation and performance under hightemperature loading. Fracture behavior is reviewed across different loading modes, build orientations and defect types, highlighting mixed-mode crack propagation and the role of grain morphology and residual stress.
A detailed evaluation of life prediction models, including strain-based, energy-based and hybrid approaches, underscores the need for AM-specific frameworks capable of capturing anisotropic and time-dependent damage. Unlike previous reviews that have primarily focused either on conventional Inconel 718 or on general fatigue and creep studies, this review consolidates creep-fatigue findings specific to AM Inconel 718, integrates insights on microstructural effects, post-processing strategies and life prediction models, and identifies critical gaps for AM-tailored design standards. Key research gaps are identified including the lack of standardized testing, limited understanding of defect criticality and inadequate postprocessing guidelines.
The review concludes with proposed directions for advancing AM Inconel 718 reliability, including the development of representative datasets, improved testing standards, microstructural mapping and scalable life prediction tools
Impact of high-speed Trains on Vibration-Induced Wear and Fatigue in Rail Tracks
Get PDFGlobal connection through high-speed train HST has therefore come with challenges as far as the rail tracks are concerned pertained to the vibration wear and fatigue that affect the safety and efficiency of the rail transport system. This research proposes examining the effects of high-speed trains on track wear and tear with a specific emphasis on the dynamic behavior of rail structures stimulated by movement of HSTs. Computer modeling and simulations utilizing the finite element analysis (FEA) and rig test with track over a period of millions of cycles were performed to assess stress distribution, vibration frequencies, wear rates, and rail track fatigue life. This study proves that with the increase in operations of highspeed trains stress and vibration increases which results in the shorter rail track fatigue life. Potential measures in mitigating these challenges include; improved track support system, choosing better materials for rail, instrument to damp rail vibration and better monitoring systems. The study shows that it is possible to minimize the effects of vibration and thus, enhance the durability of rail structures by rolling stock adaption of these techniques. It is therefore useful for rail network operators and engineers to develop information on how to construct and manage effective rail networks which can endure stress created by high-speed trains
Deep Learning-Enabled Robotic Disassembly for Sustainable E-Waste Recycling
Get PDFElectronic waste is increasing at a pace that exceeds current recycling capabilities. Most recycling facilities still rely on slow, hazardous manual labor or rigid robotic systems limited to specific device types. This study presents a deep learning–enabled robotic disassembly framework that integrates real-time object detection using YOLOv5 and semantic segmentation using U-Net with a modular robotic arm capable of dynamic tool switching.
A balanced dataset of twelve thousand four hundred fifty annotated images covering six device types and nine component categories was developed and evaluated using fivefold cross-validation to ensure robustness. The integrated system achieved a mean average precision of ninety-four point six percent for detection and a disassembly success rate of ninety-two point three percent, processing devices forty percent faster than manual operations.
When tested on one hundred fifty mixed e-waste devices, the system consistently maintained ninety-six point one percent material purity, outperforming both rule-based robotic systems and detection-only baselines. By merging computer vision intelligence with adaptive robotic mechanics, this work demonstrates a scalable path toward faster, safer, and more sustainable electronic waste recycling
Automatic License Plate Detection and Recognition for Vehicle Surveillance Applications
Get PDFAutomatic recognition of vehicle number plates plays a critical role in modern traffic surveillance and law enforcement. The proposed system uses Convolutional Neural Networks (CNNs), a machine learning algorithm, to accurately detect and isolate number plates from full vehicle images. To enhance the clarity of plate boundaries, edge detection techniques are applied before character segmentation. The segmented characters are then processed using Optical Character Recognition (OCR) to extract the alphanumeric information. Using the recognized vehicle number, registration details can be retrieved from a connected server. In cases of traffic violations or suspicious activity, authorities can take appropriate actions based on this information. This system is highly applicable in traffic monitoring, public safety, and law enforcement, contributing to more efficient and automated transportation management
Cycle Mounted Water Purifier
Get PDFPure, clean drinking water is a need of every household as humans can’t live without it. Electricity at rural and remote areas is extremely erratic, thus making conventional water purifiers almost redundant for use. Thus, this project is specifically aimed at such areas and conditions of the world where water supply is erratic or non-existent and access to clean drinking water is sometimes at long distances. A pedal operated water filtration system is a water filtering apparatus which can filter water by using human muscle power via a pedal operated mechanism. This apparatus is preferably mounted on a supporting frame for increased portability. It will be specifically designed to perform three important functions: storing water, filtering it and transporting it to the final destination. the aim of this project is to solve purifying drinking water by creating a durable apparatus which is cheap to manufacture and to buy, which can last for a long time in rural conditions and which can be detachable so that it can be mounted on any frame. The system works on the sprocket chain system with power generator dynamo along with supporting frame interfaced with filters, container with integrated heating element and supporting circuit to achieve this system development. The overall apparatus is designed to be as lightweight and as cheap as possible so as to make it easily accessible to a very wide range of people. The apparatus is also designed to be made detachable so that it can be easily shifted from one place to another with minimal modifications. 
Portable EV Charging Portal
Get PDFThese days, EVs are everywhere — but charging them without a grid nearby? Still a huge headache. During one of our field trials, we kept facing issues with reliability and power access, which pushed us to try building something different. What came out of that was a compact, foldable solarpowered EV charging setup with lithium battery storage and a custom power conditioning system. The idea is simple: give people the ability to charge EVs on the go — even in remote or emergency areas — using just solar energy. It's got dual input (solar and grid), modular batteries that can be swapped in seconds, and even the potential to link up with blockchain energy credit systems so people can trade or save unused energy. Also, we figured out how to store excess charge during hot sunny days and use that during winters — which is actually super helpful in seasonal climates. The system isn’t perfect, but it works better than we expected in most test scenarios
Enhancing Solar Air Heater Heat Transfer Performance: The Impact of Hexagonal 90° and 120° Inline Ribs with Varying Blockage Ratios in Trapezoidal Ducts
Get PDFAn experimental investigation was carried out to evaluate the thermo-hydraulic performance of a solar air heater (SAH) equipped with a hexagonal ribbed absorber plate. The study examines the effects of geometric parameters—blockage ratio (e/Dh = 0.1109, 0.1479, and 0.1849), rib pitch (P = 60 mm, 80 mm, and 100 mm), and angle RIDWWDFNĮ DQGRQKHDWWUDQVIHUDQGIORZG\QDPLFV within a trapezoidal duct, over a Reynolds number range of 5000 to 30,000. Trapezoidal ducts were selected for their ability to enhance surface area and flow interaction. For Reynolds numbers ranging from 5000 to 30,000, the Nusselt number for Į LQOLQHULEVLQFUHDVHGE\–ZKLOHWKHĮ inline ribs exhibited a higher enhancement of 40–60%. This improvement in heat transfer was accompanied by an increase LQIORZUHVLVWDQFH7KHIULFWLRQIDFWRUIRUĮ ULEVZDV about 1.5–WLPHVKLJKHUWKDQWKHVPRRWKGXFWZKHUHDVIRUĮ ULEVLWLQFUHDVHGE\QHDUO\–3.0 times. Considering both parameters, the thermo-hydraulic performance factor 73)ZDVIRXQGWREHVXSHULRUIRUWKHĮ FRQILJXUDWLRQ UDQJLQJIURPWRFRPSDUHGWRWRIRUWKHĮ FDVH7KLVVXJJHVWVWKDWKLJKHUDQJOHVDQGEORFNDJHUDWLRV enhance turbulence and mixing, improving heat transfer with manageable pressure losses. Overall, the hexagonal ribbed absorber significantly improves thermal efficiency, offering a promising and cost-effective solution for enhancing solar air heater performance while supporting energy efficiency and environmental sustainability.