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93 results for “Wear”
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Research ArticleOpen accessEvery word in the titleAnalysis of Steel Track Undercarriage Wear Based on Geographic LocationFrederick A. Rich, Christopher KluseUndercarriage management is a critical concern for heavy equipment owners that often can account for over half of the operating cost of a piece of machinery. Understanding the most economical time to stop a machine for undercarriage maintenance is critical in the management of the undercarriage system and for optimizing profitability for the equipment owner. There has been much laboratory … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 26 Mar 2018 · 7,575 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleReal-Time Simulation Method Using Monte Carlo and Clustering Algorithms: A Case Study Covering Drill Bit WearRodolfo Wilvert Reitz, Paulo José de Freitas FilhoMinimization of the cost of drilling an oil well is primarily achieved by reducing the operation completion time, which in turn can be achieved by increasing the Rate of Penetration (ROP). The ROP is the result of a combination of factors, such as lithological formation, operational parameters and bit wear. This paper addresses bit wear during drilling, using a method … …Journal of Computer Science, Vol. 14, Issue 2 · 27 Feb 2018 · 8,210 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Varying Loads on Wear Behaviour of Constructional SteelAlo Francis Ireti, Emordi Ngozi, Kunle Michael Oluwasegun et al.This study examined the effect of varying loads on wear behaviour of Ife constructional steel. The wear measurements were determined under normal ranging from 5 to 25 N at interval of 5 N incremental. The morphology of the corroded samples were carried out using optical microscopy and Scanning Electron Microscopy (SEM). When a load of 5 N was used, the … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 6 Feb 2018 · 7,574 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudy of Tool Wear Properties Using Magnetorheological Fluid DamperVikram G Kamble, Vijaykumar RevadiTool wear is one of the important phenomenon in the machining processes. In this article we are explaining the effects of magnetorheological fluids in tool wear process. In our investigation we used the Al alloy (Al 6061) as our test specimen, which has wide range of applications in aerospace industry. We attached our magnetorheological set up to the tool holder … …Current Research in Nanotechnology, Vol. 6, Issue 1 · 25 Jun 2015 · 7,243 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Wear of Tunnel Boring Machine Excavation Tools in RockClaudio Oggeri, Pierpaolo OresteSome of the most important aspects in the study of the fragmentation of rock due to the action of TBM disks concern the abrasiveness of the rock and the wear of the tools. The wear of the disks in fact means that they have to be substituted, with consequent effects on the efficiency of the excavation, on the speed of … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 16 Aug 2012 · 7,654 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Effect of Time Variation on the Wear Sliding Behavior of CompositesWafaa M. Salih, Sanaa M. Salih, Myada M. SalihComposites materials are widely used in all industries all over the world, replacing many other engineering materials. Reasons for such popularity are many, among such, are their physical and mechanical properties in addition to the simplicity of their manufacturing processes. Machine elements that are made of polymeric materials are usually exposed to different causes of failure such as wear. The … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 6,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleANN Based Prediction of Effect of Reinforcements on Abrasive Wear Loss and Hardness in a Hybrid MMCP. Sathyabalan, V. Selladurai, P. SakthivelProblem statement: The reinforcements added to an alloy lead to variation in properties. The content and size of the reinforcement influences the properties of composites. Very little research has been carried out in hybrid composites. Work on hybrid LM6 aluminium alloy metal matrix composites (MMC) with flyash and SiC has been initiated here. The effect of the four parameters, size … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,551 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDiamond Pressing on the Wear Resistance and the State of Heat Treated Alloy Steel SurfacesUbeidulla Al-QawabehaIn manufacturing processes, surfaces and their properties are as important as the bulk properties of the materials. Surface treatment is an important aspect of all manufacturing processes. It has been used to impart certain physical and mechanical properties, such as appearance, corrosion, friction, wear and fatigue resistance. Widely used methods of finishing treatment that create necessary parts with the given … …American Journal of Applied Sciences, Vol. 4, Issue 3 · 31 Mar 2007 · 7,099 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment of a Wear Map for the Sliding and Rotational Wear behavior of ShaftsAl-mahasne Mayas MohammadThis study was an attempt to study the wear calculation method for rotating shaft in the friction couple type shaft-cuff in conditions of oiling in high dusty environment. The size and quantity of abrasive particles that go into the clearance between friction surfaces, definition of the pressure including the load in conjugate that is given by the cuff spring as … …American Journal of Applied Sciences, Vol. 3, Issue 12 · 31 Dec 2006 · 6,913 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 accessesView PDFCite