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492 articles for “Machining”
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House Price Prediction using Machine Learning Algorithms
Abstract: House Prices depend on various factors such as location, features of the house, construction and so on. To factor all these aspects and predict an accurate price of the house can be very tricky. The following paper proposes a system that considers every aspect of a house that effects its pricing and gives an accurate prediction of the house. The system accomplishes this utilising Gradient Boosting, Random Forest, and Decision …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 23–29 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article
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Genetic Algorithm approach for the Position Control of Permanent Magnetic Synchronous Machine
Abstract: Permanent Magnetic Synchronous Motors (PMSM or Brushless DC Motor) are widely being used for many industrial applications because of their high efficiency, high torque and low volume. Research has conducted using genetic algorithm to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is being used for control purposes in many systems because of its simple structure and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 30–39 Read article
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Experimental Investigation of MRR and Surface Finish Using Abrasive Jet Machining of Aluminum Alloy 7475
Abstract: In this thesis, different experiments are performed on aluminum alloy 7475 by varying various parameters such as pressure, sand feed, transverse speed and standoff distance, i.e. nozzle-to-work-piece distance to determine material removal rates and surface finish. Optimization is done using L9 orthogonal array by Taguchi technique to determine better parameters to obtain maximum removal rates and minimum surface roughness. The parameters considered are transverse speed 50, 100, 150 mm/min; standoff …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 20–31 Read article
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Research Insight: Research Avenues for Ergonomics and Human Factors in Real life Man-Machine Systems
Abstract: BACKGROUND The real life systems now a day are on the path of continuous improvement and updating. The legacy of version improvement and other branding techniques is not only running as a part of marketing and corporate strategy but also for a consumer’s ease and comfort. There is continuous focus on minimizing and curtailing the role of man in modern systems. The concepts like automatic systems, sophisticated sensors and self-monitoring …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 38–39 Read article
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A Review on Cutting Parameter on Micro Drilling Characteristics of Different Steel
Abstract: Related work revealed that a lot of works have been done on the cryogenic turning of various metals. The tool life significantly increases with the introduction of cryogenic and thermal-assisted machining in the turning operations. The reductions in the heat at tool chip interface have significantly affected on the tooled life. Some research gaps in the literature have been found as: Limited research works have been performed on the cryogenic …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 7, Issue 1, 2021 · pp. 31–36 Read article
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Improve the Process Parameters for Evaluation of Material Removal Rate (MRR) on Turning Operation using Carbide Insert Tool
Abstract: Abstract The Material Removal Rate (MRR) is a critical performance indicator in turning operations, directly influencing productivity, cost-efficiency, and part quality. In this study, the focus is on optimizing the process parameters to improve MRR during turning operations using carbide insert tools. Carbide inserts are favored in machining due to their high hardness, wear resistance, and ability to withstand elevated cutting forces, making them suitable for high-performance turning operations. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 17–24 Read article
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Smart Monitoring of Vibration in CNC Turning Tool Holders: Arduino-Based Sensor Interface
Abstract: Vibrations are a common problem in CNC turning operations, affecting the machine tool's overall performance and productivity. The geometrical accuracy and surface quality are reduced as a result of repeated vibrations, reducing tool life. Vibrations can now be sensed and responded, thanks to new advancements in electronic technology. The goal of this research work is to use a 3D accelerometer(sensor) to measure vibrations and determine the value of vibration and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 7–27 Read article
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Power and Precision Combined: Innovating the Grinding Industry with a Hybrid-Powered Grinding Mill
Abstract: In the present technology, Mechanical energy is used to operate grinding machines. Grinding machine is used to grind different types of materials. The sustainable source of energy is electric power. This assignment provides a clearer conceptualization of how to start up a modest sharpening machinery enterprise. This technique functions as a backup power source in areas without electric and when a single person only needs only a small quantity of …
Published in International Journal of Mechanics and Design · Vol. 9, Issue 1, 2023 · pp. 42–53 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Resource Allocation Optimization in Cloud Services: Evaluating Task Scheduling and VM Placement Techniques
Abstract: Cloud computing has emerged as a promising computing paradigm to provide scalable quality of service, enabled services that are delivered over the internet. The infrastructure as a service model depends heavily on virtualization, which is the vital concept for centralized resource allocation in cloud computing. Resource allocation in cloud computing is basically performed through with the help of task scheduling as well virtual machine placement. Cloud service provider selects correct …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 6–14 Read article
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OPTIMIZATION OF EDM PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract: Aluminium metal matrix composites are increasing the applications such as automobile industries, aerospace industries ,marine as well as construction. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated extensive interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) tends to be a promising technique for machining metal matrix composites. Hybrid Al6061 composite reinforced with 10% SiC and 4% Graphite particles …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
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Review on HSM of Titanium Alloys in Aerospace Industry
Abstract: Despite of good strength-to-weight ratio and superior corrosion resistance of titanium alloys, it is very difficult to machine them due to their poor machinability. Productivity and efficiency of the titanium alloys can be improved by means of high speed machining tools. Eventually, it is a much needed technology to complement the advancements in aerospace manufacturing applications. A bulk of literature is accounted for the purpose that simply suggest that different …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 1, 2016 · pp. 10–14 Read article
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Enhance the Process Parameters for Material Removal Rate (MRR) Assessment in Turning Operations with HSS Cutting Tools
Abstract: AbstractThe experimental investigation of turning on EN8 steel of grade SAE (AISI) 1040 using HSS cutting tools was the focus of this work. The following study’s main goal was to apply the Taguchi method to ascertain how the machining parameters – feed, depth of cut, and cutting speed – affect the rate at which material is removed from the machined material. Finding the ideal machining parameters to optimize the material …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 16–23 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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Internet of Thing
Abstract: We are entering a new era of the computing technology that many are calling the Internet of Things (IoT). Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems call it what you want, but it is happening, and its potential is huge. We see IoT as billions of smart, connected “things” (a sort of “universal global neural network” in …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 5–8 Read article
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Modeling of Material Removal Rate in Micro EDM Using Neural Network
Abstract: In micro-electrical discharge machining (Micro EDM) machining, material removal rate (MRR) is the particular main output parameter. Here we will discover various machining parameters get an effect on the particular MRR. For production industries, to maximize the results from Micro EDM, appropriate predictive designs for MRR must end up being constructed. This particular report utilizes neural network modeling to predict MRR over the particular machining time for assortment of cutting …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 30–39 Read article
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Technical Yarns from Newly developed Indigenously Fabricated Folding Unit
Abstract: A small machine was developed indigenously with a new concept for the manufacturing of different kinds of technical yarn. This prototype machine is only for the production of coarser counts and it gives the core-sheath yarn structure. The yarn obtained from this machine can be comparable with yarn produced on DREF spinning. Any type of core material, like cut selvedge produced from modern looms, metallic wires, and the filament yarns …
Published in International Journal of Composite and Constituent Materials · Vol. 2, Issue 2, 2016 · pp. 3–7 Read article