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82 articles for “Machining parameters”
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Excitation System, Proportional and Integral Controls of a Synchronous Generator for Reducing Adverse Impacts to Power System from Voltage Fluctuations
Abstract: The project analyzes the voltage fluctuations caused by any disturbance in a power system and minimizes the oscillations by controlling the excitement field using a feedback control loop. Adequate numbers of journal papers and literature materials were researched and reviewed to understand the principles of generator excitation and investigate various control systems which can be worked upon to keep the voltage output stabilized. It is known that Automatic Voltage Regulator …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Machine Learning Bouc-Wen Model for Nano- positioning System
Abstract: Most of the application in present world has taken ‘Nano’ as a part of their near future implementation. In Nano-Positioning System (NPS) the mechanical dynamics are handled at Nano scale. Designing a precisioned NPS is a greater challenge. To have a better hysteresis and better behaviour (Static/Dynamic) the Bouc-Wen model is modified by linearizing. In this work SISO (Sıngle-input Sıngle-Output) and MIMO (Multiple-Input Multiple-Output) models of NPS are designed. In …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 14–25 Read article
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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
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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
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Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steel
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 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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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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Design of Experiments for Vibration Monitoring of Rotating Machinery
Abstract: The valuable resources are rotating technology. In industrial applications, several machines are essential to the effective operation of any system. This article describes the engineering process for developing designs for analyzing variation and the optimization of condition monitoring by the impacts of vibration parameters using Taguchi processes to improve the quality of manufactured items. Crucial spinning equipment is included in the experiment to maximize the vibration frequency reactivity. Using Minitab …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 27–41 Read article
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“MODIFIED SEWING MACHINE WORKSTATION DESIGN BY USING TAGUCHI APPROACH”
Abstract: The study was based on design of experiment using Taguchi Orthogonal Array with three parameters namely height of sewing machine table, angular movement of sewing machine table & sliding movement of sewing machine table considered for experimentation. An orthogonal Array of L9 experimental design was adopted & 3 angles namely trunk angle, head angle & neck angle was measured for each experimental run. Then the reading for female & male …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 2, 2016 · pp. 61–88 Read article
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Classification of Brain Tumor with Statistical Analysis of Texture Parameter Using a Data Mining Technique
Abstract: The objective of this research is to investigate the abnormal images of brain having diseases of brain tumors using machine learning tool and to measure their texture which involves shape, intensity and texture parameter of brain. All of these images were run by the machine learning tool and compared these results with the normal image of brain. If there was abnormality located in the data, it was noted and further …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 2, 2018 · pp. 22–36 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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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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A review:The Arterial blood pressure and its regulation
Abstract: In day to day era, hypertension is becoming a very common disorder affecting a large number of people. The human body is an incredibly complex machine which maintains important physiological parameters such as temperature, blood pressure, pH, and blood sugar levels in narrow ranges. An important parameter that must be kept within the normal range for biological health is blood pressure. In response to certain situations, a series of actions …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 1, 2021 · pp. 33–38 Read article
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Investigation of Optimal Process Parameters of Extrusion Blow Molding Process Using Grey Taguchi Analysis
Abstract: Optimization of machining processes is essential for achieving higher productivity and high-quality products in order to remain competitive. The objective of this study is to optimize the process parameter of extrusion blow molding process for making a plastic container of high density polyethylene (HDPE) grade B52A003 produced by the extrusion blow molding process at CIPET Gwalior. Quality of plastic container of HDPE B52A003 material depends on various parameters. In this …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 1–11 Read article
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Leveraging Prediction Strategies to Enhance Milk Quality and Promote Dairy Sustainability
Abstract: In the Dairy industry, ensuring high-quality milk production is vital. This research paper focuses on employing machine learning methods to predict milk quality based on diverse parameters including pH levels, temperature, fat content, and colour. By harnessing data encompassing these factors along with established quality markers, the study aims to construct a predictive model. This model seeks to anticipate variations in milk quality, providing insights into potential fluctuations in fat …
Published in International Journal of Green Chemistry · Vol. 9, Issue 2, 2023 · pp. 38–47 Read article
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Characterization of AL-2014 TIG Welded Joints
Abstract: Abstract – This experimental study presents a comprehensive investigation into the tensile strength of TIG-welded butt joints made from Al-2014 alloy, a material that find applications in aerospace and structural engineering due to its excellent machinability and high strength to weight ratio. Welding Al-2014 alloy is challenging because it is more prone to hot cracking, oxide layer formation and thermal distortion. Therefore, it is very important to optimize welding parameters …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 25–31 Read article
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An Overview on Metal Processing using Machine Learning
Abstract: Metalworking, which is an important part of modern industry, includes a wide range of steps, such as shaping and casting the metal, machining it, and riveting it. The industry has always relied on trial and error and other empirical methods, but machine learning (ML) is now causing a big change. It is expected that this change will lead to higher production, better product quality, and better use of resources. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 43–53 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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A Review on Surface Error Compensation in Thin-Walled Component Machining
Abstract: *Author for CorrespondenceManikandan HareendranE-mail: [email protected] 1,4,5,6Associate Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India2,3Assistant Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India7Professor, Department of Mechanical Engineering, Mangalam College of Engineering (APJAKTU), Kottayam, Kerala, India Received Date: November 12, 2024Accepted Date: November 14, 2024Published Date: November 22, 2024 Citation: Rajeeve K. Mohana, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article