Search
185 articles for “machining time”
-
Effect of Cutting Parameter in Engine Valve Turning Process
Abstract: Engine valve manufacturing involves significant amount of machining during its manufacturing activity. Suitable cooling agents or cutting fluid are used to remove heat produced during cutting operation to maintain machining finish and insert life. Cutting fluids are one of major waste involving cost for disposal and hazard to environment, reduction in their use can play key role to meet stringent environment norms and achieve economic machining. Dry machining is an …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
-
Design of Real-Time Candy Vending Machine Using Verilog HDL
Abstract: This project focuses on the implementation of a real-time candy vending machine using Verilog Hardware Description Language (HDL). The main objective is to design a digital system that simulates the operation of a candy machine, including accepting coin inputs and monitoring the total inserted amount in real time. Verilog HDL is used to model the system’s behavior at the register– transfer level, making it suitable for academic and conceptual understanding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
-
Development of VMC Fixture for End Cap of TFO Twister Machine to Reduce Setup Time
Abstract: In industries, different types of fixtures are used to hold and support the workpiece according to requirements to ensure dimensional accuracy during machining. This paper presents the solution for an industrial problem to develop a single fixture for machining of an end cap of a two-for-one (TFO) twister machine. Currently, two different fixtures are used for performing different operations on the end cap in a horizontal and vertical position on …
Published in International Journal of Manufacturing and Materials Processing · Vol. 6, Issue 1, 2020 · pp. 24–30 Read article
-
Adaptive Finite Element Machine for Real-time Structural Damage Detection
Abstract: Systems for monitoring structural health (SHM) are essential for guaranteeing the consistency and safety of civil infrastructure. The timely identification of structural deterioration is crucial in order to avert major malfunction and save upkeep expenses. In this research, we describe a unique real-time structural damage detection method based on Adaptive Finite Element Machine (AFEM). To locate and diagnose structural degradation in an adaptable manner, AFEM combines machine learning methods with …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 8–14 Read article
-
Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
-
Optimization of Machining Parameters for Nylon 6 Composite in CNC Lathe Using PCA-Based TOPSIS
Abstract: This work investigates the parametric optimization of CNC turning operation for Nylon 6 with principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) based on Taguchi approach. Taguchi’s L16 orthogonal array takes 16 experimental runs to execute the design matrix of turning parameters through PCA coupled with TOPSIS, utilizing relevant experimental data as obtained through experimentation. Turning speed (TS), feed rate (FD) and depth …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 36–47 Read article
-
State Wise Covid-19 Case Forecasting Based on Machine Learning by Using SEIR and Time Series Models
Abstract: Forecasting mechanisms based on machine learning have proved to be significant to anticipate in peri-operative outcomes that improve decision-making in the future. Applications where it is necessary to identify risk factors with a negative impact have used machine learning models. To solve problems with forecasting, many prediction techniques are applied. The COVID-19 virus, which is active and is currently regarded as a serious threat to humanity, is shown in this …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
-
Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
-
Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
-
Waterjet Peening Process: A Review
Abstract: Water jet machining is few of the most adaptive and unconventional type of machining with huge advantage over the conventional type machining. Depth of cut measurement is a vital component in evolution of completely automated Abrasive Waterjet (AWJ) machining system. While cutting Ti-6Al-4V under waterjet, it is important to measure the depth of cut of material at the instant of cutting. This is a major drawback of Water Jet Machining …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 1, 2020 · pp. 12–14 Read article
-
A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article
-
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
-
Design of Multispindle Drilling Head
Abstract: AbstractThis paper presents the design, analysis, and optimization of a multi-spindle drilling machine headaimed at enhancing productivity and efficiency in manufacturing processes. Engineered to drill multipleholes simultaneously, the multi-spindle head significantly reduces machining time and increasesoperational throughput, making it ideal for high-volume production environments where speed andaccuracy are essential. The design process begins with a thorough requirements analysis and materialselection to ensure the machine head can endure operational stresses while …
Published in International Journal of Manufacturing and Materials Processing · Vol. 10, Issue 2, 2024 · pp. 36–42 Read article
-
Effect of Cutting Parameters in Hard Turning on Chip Formation and Machined Surface
Abstract: Cost effectiveness, increasing demand, high production rates and reliability of the product have increased the potential of industrial application of hard turning technology during the past few years. Grinding operation for hard steel component reduces the machining sequence, the machining time and the specific cutting energy. Hard turning also shows effects like generation of high temperature, the formation of saw toothed chips. In this thesis, experimental investigation is conducted in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 28–47 Read article
-
Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
-
Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
-
AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
-
Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
-
Transforming Transactions: The Evolution of Vending Machines through IoT
Abstract: The purpose of this study is to suggest a practical implementation for developing an Internet of Things (IoT) vending machine system. Additionally, we present a novel method for mobile proximity payment at unattended point of sale. The fundamental concept involves creating a virtual version of a vending machine on the Internet and enabling complete contactless product ordering from a smartphone, so no physical interaction with the machine is required. Our …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 12–15 Read article
-
From Traditional to Digital: An Analysis of Vending Machine System Evolution
Abstract: This paper proposes a smart vending machine system that makes use of Internet of Things (IoT), UnifiedPayments Interface (UPI), Radio-Frequency Identification (RFID), product level detection, andGPS/GPRS notification to provide a more efficient, secure, and easy vending experience for operatorsand customers. RFID is used for user authentication, and UPI facilitates payment transactions so thatusers can quickly make purchases without using cash or credit cards. Product level detection makessure that products are …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article