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53 articles for “Conventional machine”
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Eco-friendly Manually Operated Floor Dust and Road Cleaning Machine
Abstract: Cleaning is an important part of the everyday routine. Cleaning and sanitizing effectively benefit and safeguard human health both directly and indirectly. Our surrounds are kept clean with the help of the road cleaner. Cleaning has become a basic need for all human beings, and it is unavoidable daily routine process. In general, numerous machines such as electric motors, diesel engines, and robots are utilized to clean the floor and …
Published in International Journal of Mechanics and Design · Vol. 7, Issue 2, 2021 · pp. 41–44 Read article
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To Assess the Accuracy, Sensitivity and Specificity of Fetal Heart Rate (FHR) and Uterine Activity (UA) from Abdominal ECG and EMG Electrodes in Comparison with Conventional Cardiotocography (CTG) Machine
Abstract: Background: FHR and UC are two vital parameters that need to be monitored during the intrapartum period which can help reduce death from preventable causes during the intrapartum period. CTG is the currently used tool for intrapartum monitoring, but being expensive, bulky, and dependent on skilled healthcare workers for interpretation of results makes it unsuitable for use in healthcare settings. KEYAR is an affordable, portable, wearable, and easy to use …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 1, 2023 · pp. 13–23 Read article
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Planar-to-Rotary G-code Transformation Via Post-Processing for Discrete 4-Axis Machining
Abstract: Conventional 4-axis CNC machining remains inaccessible to many due to the high costs of industrial hardware and the complexity of firmware modifications for entry-level controllers. This paper presents a software-defined framework that enables Planar-to-Rotary G-code Transformation, allowing standard 3-axis CNC systems to perform discrete 4-axis machining without hardware retrofits or firmware changes. The core of the proposed method is a custom Python-based post-processor that maps Cartesian XZ toolpaths onto a …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 50–66 Read article
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Review on Recent Trends in Laser Assisted Machining of Hard to Cut Materials
Abstract: Laser-assisted machining (LAM), an alternative method of fabricating hard-to-machine materials, like ceramics, composites, Titanium alloy, Nickel based alloy are being developed and widely utilized in aerospace, automotive, medical and nuclear industries due to their special properties. These materials posing many challenges when machined with the help of Conventional methods of machining. Conventional methods of machining these materials are found to be uneconomical. Among the various external energy assisted machining methods, …
Published in International Journal of Manufacturing and Materials Processing · Vol. 7, Issue 2, 2021 · pp. 49–57 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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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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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
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Experimental Investigation And Optimization Of Process Parameters For Thrust Force, Power Consumption And Energy Consumption During Drilling Of Mild Steel On Lathe Machine
Abstract: Drilling is one of the major operations to be carried out in almost every manufacturing industry. During this operation drilling tool drills the metal continuously which increases thrust force. Due to this force, power consumed during drilling operation. So in this research work an attempt to experimentally investigate and then optimization of the effect of different drill parameter like feed and spindle speed on the thrust force, power consumption and …
Published in International Journal of Mechanics and Design · Vol. 2, Issue 1, 2016 · pp. 08–19 Read article
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Fabrication of Solar Agro-vehicle with AI Technology
Abstract: Agriculture being one of the major occupations in India. Agriculture plays a vital role in the Indianeconomy. Indian agriculture has registered impressive growth over the last few decades. It is veryessential to discover and implement new ideas in this field, though a lot of work has been done in thisarea. It is unfortunate that these ideas are not being implemented properly in the actual field. This isdue to high cost …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 1, 2021 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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MRAC Based Speed Estimation of Three DTC Techniques for Three-phase Inverter Fed IPMSM Drive
Abstract: This paper aims to study three Direct Torque Control (DTC) techniques for an Interior Permanent Magnet Synchronous Machine (IPMSM) using Model Reference Adaptive Control (MRAC). In the conventional DTC technique using a look-up table, gate signals are given to the Inverter that drives IPMSM. Since it is a 6-sector scheme and the operation of the minimum number of voltage vectors, undesired torque and flux ripples are created. Hence the problem …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 2, 2023 · pp. 1–15 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Optimization of Effects of FMEA to Enhance Quality and Efficiency of CNC Machines in Valve Manufacturing Industry
Abstract: Failure mode and effects analysis (FMEA) is a systematic method for identification and preventing problems of products and process before its occurrence. FMEA focus on preventing defects, enhancing safety and increasing customer satisfaction. The FMEA needs to define parameters such as Severity (S), Occurrence (O), Detection (D) and Risk Priority Number (RPN). The conventional FMEA and grey relational analysis approaches are applied in this work. The rankings of the failure …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 2, 2017 · pp. 11–20 Read article
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Surface Roughness Analysis on the Vegetable Oil Based Cutting Fluid in Turning of EN8 Steel
Abstract: In the present work, properties of the present work of the non-ionic surfactants have been recognized to formulate vegetable oil based cutting fluid (VBCF) palm oil for the emulsion as non-conventional lubricant. Surface finish is an important indicator of quality in manufacturing industries and thus it is regarded as one of the most important parameter to be considered. In this present work different machining parameters were taken and their effect …
Published in International Journal of Manufacturing and Materials Processing · Vol. 3, Issue 1, 2017 · pp. 1–8 Read article
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Experimental Investigation of Vegetable Oil Based Cutting Fluid (VBCF) on Surface Roughness in Turning EN-8 Steel
Abstract: In the present study, properties of the present work of the non-ionic surfactants have been recognized to formulate vegetable oil based cutting fluid (VBCF) palm oil for the emulsion as non-conventional lubricant. Surface finish is an important indicator of quality in manufacturing industries and thus it is regarded as one of the most important parameter to be considered. In this present study, different machining parameters were taken and their effect …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 2, 2018 · pp. 1–11 Read article
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Effectiveness of Vegetable oil Based Cutting Fluid (VBCF) with Non-ionic Surfactants in Turning EN8 Steel
Abstract: In the present work, properties of the the non-ionic surfactants have been used to formulate vegetable oil based cutting fluid (VBCF) palm oil for the emulsion as non-conventional lubricant. Tool temperature and surface finish are plays an important indicator of quality in manufacturing industries and thus they are regarded as the most important parameters to be considered. In this present work different machining parameters were taken and their effect on …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 5, Issue 2, 2019 · pp. 21–30 Read article