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16 articles for “Tool wear measurements”
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A Technical Review on Ceramic Cutting Tool Inserts
Abstract: This paper deals with detail information about ceramic cutting tool used in CNC/VMC machine. Ceramic cutting tool are more frequently used in high speed application, dry machining and hard part turning. Ceramic cutting tools are also available with combination of aluminum and silicon oxides to improve mechanical properties. In this paper advantages, disadvantages and properties of ceramic cutting tools are explained. Different methods of Tool wear measurements are also discussed …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 7–11 Read article
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Development of Mathematical Model for Tool Wear Rate Using 3-Level Response Surface Methodology
Abstract: Tool wear is the progressive loss of material from the surface of tool in the form of very small metallic particles. From decade tool wear rate was used as major criteria to predict the tool life. However, tool wear rate only measures principle wear, i.e., flank wear and face wear. In order to assesses the real damage to the tool and consider other tool wear like chip, notching, primary and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Multi Objective Optimization in Micromilling of 304L steel by Taguchi-Grey-Fuzzy Method: Literature Review
Abstract: Micromechanical milling of 304L Stainless steel which is commonly used in the welded in severe corrosion environment and it terminates the need for annealing. The goal of this study is to investigate the influence of process input parameter such as cutting speed, depth of cut, feed per tooth, radial immersion percentage and plunging method on process output during circular pocketing operations. Tool wear, machining forces and surface roughness measurement are …
Published in Trends in Mechanical Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 25–30 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Effect of Cryogenic Treatment on Wear Characteristics of T42 High Speed Steel
Abstract: In this study cryogenic treatment is performed on AISI T42 HSS material and its wear characteristics are studied. Test of treated and untreated samples is taken on pin on disc wear testing machine at different loads and RPMs. The wear of the sample is measured. The wear resistance of the samples is also measured by weight loss method. The results are tabulated. An experimental effort to evaluate tool wear improvement …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 70–79 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Interfacial and Tribo-Mechanical Performance of a TiO₂–Castor Oil Polymeric Nanofluid During Sustainable Machining of AISI 316L Stainless Steel Under MQL Conditions
Abstract: This research examines the tribo-mechanical performance and interfacial film characteristics of a TiO₂-reinforced castor-oil polymeric nanofluid during the turning of AISI 316L stainless steel under minimum-quantity lubrication (MQL). A Taguchi L9 orthogonal array was utilized to assess the synergistic effects of cutting speed, depth of cut, and coolant composition on surface integrity, while machining experiments were performed under dry, conventional, and TiO₂-nanofluid lubrication techniques. ANOVA and multiple-regression modeling were used …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 901–914 Read article
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Different Aspects to Achieve the Hole Quality in Gun Drilling Machining
Abstract: The manufacturing industry is always trying to fulfill the requirement of various industries and developing facilities to manufacture the designed parts. Many applications for various industries demand for deep drill where the ratio of depth of the hole to the diameter is greater than twenty. Gun drilling, B.T.A. drilling and ejector drilling are the three drilling processes to make deep holes. In the gun drilling process the pressurized oil is …
Published in Journal of Production Research & Management · Vol. 6, Issue 1, 2016 · pp. 34–38 Read article
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Analysis of Surface Roughness and Material Removal Rate in Engine Valve Turning Operation of Material SUH3
Abstract: The purpose of this paper is to present an experimental work attempting to optimize the influencingprocess parameters involved in dry machining of the exhaust engine valve of material martensiticstainless steel grade SUH3. Looking at available literature it is observed that a lot of work can be donein the field dry machining related to surface integrity but no work can be reported on investigationimplementation of dry machining in engine valve manufacturing …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review
Abstract: The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 13–30 Read article
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Face Mask Detection on Real Time Images and Videos using Deep Learning
Abstract: A big change has occurred in our day-to-day lives as a result of COVID-19. One of these changes is the widespread adoption of face masks as a preventative measure against the transmission of the virus. Because of this, face mask detection has developed into an indispensable technique in a variety of contexts, ranging from public areas to industrial settings. Artificial intelligence (AI) and machine learning algorithms are utilized in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 22–30 Read article
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Electrochemical Biosensors for Disease Diagnostics
Abstract: Electrochemical biosensors have emerged as one of the most promising tools for disease diagnosis because they combine high sensitivity, rapid response, portability, and low cost in a single analytical platform. In recent years, growing interest in early disease detection has pushed researchers to develop biosensors that can detect clinically important biomarkers in blood, saliva, urine, sweat, and other biological fluids. These sensors work through the interaction between a biological recognition …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 43–54 Read article
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Health Monitoring for COVID-19 Similar Disease Using Wearable Device
Abstract: Due to the massive spike in uncertainties triggered by the COVID-19 disease, many countries strategies to reduce the spread by contact tracing. Currently governments around the world battling against pandemic and digital tools are implemented to augment and accelerate contact tracing. Indian government authorities are heavily depending on Aarogya setu App to detect potentially infected population, but second waves showed us that this system is not full proof. Also, there …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 40–47 Read article
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Assessment of Resting Heart Rate and It’s Association with Cardiovascular Risk in Young Adults
Abstract: Resting heart rate is an easily measurable physiological parameter that reflects autonomic nervous system balance and cardiovascular function. This article aims to assess resting heart rate and examine its association with cardiovascular risk in young adults. A comprehensive review of recent literature highlights that elevated resting heart rate is significantly associated with increased risk of hypertension, metabolic syndrome, endothelial dysfunction, and long-term cardiovascular morbidity and mortality. In young adults, resting …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 6–23 Read article
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Smart Helmet Driven by Arduino Features Adaptive Sensors and Wireless Communication Technology
Abstract: Equipped with wireless communication technology, sensors, and a microprocessor, the Arduino-Futured Smart Helmet constitutes an incredibly powerful and efficient device. The microcontroller serves as the brains of the helmet, receiving and processing data from the sensors and guiding the other components as necessary. This technology allows the helmet to monitor its surroundings and respond to them immediately. The integrated sensors in the helmet measure temperature, humidity, and fluctuations in the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 7–13 Read article