Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion
Italian National Conference on Sensors, 2021 This paper proposes an estimation approach for tool wear and surface roughness using deep learning and sensor fusion. The one-dimensional convolutional neural network (1D-CNN) is utilized as the estimation model with X- and Y-coordinate vibration signals
P. Huang, Ching‐Hung Lee
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Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materials [PDF]
, 2009 The aim of this study is to improve the general understanding of tungsten carbide (WC–Co) tool wear under dry machining of the hard-to-cut titanium alloy Ti6Al4V. The chosen approach includes experimental and numerical tests.
Bil +26 more
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, 2021 Tool wear monitoring is essential in precision manufacturing to improve surface quality, increase machining efficiency, and reduce manufacturing cost. Although tool wear can be reflected by measurable signals in automatic machining operations, with the ...
Zhiwen Huang +4 more
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An experimental investigation of chatter effects on tool life [PDF]
, 2009 Tool wear is one of the most important considerations in machining operations as it affects surface quality and integrity, productivity and cost. The most commonly used model for tool life analysis is the one proposed by F.W.
Altintas Y. +11 more
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Wear Mechanism of Multilayer AlCrWN/AlCrWSiN-coatings on Cemented Carbide Tools Prepared by Arc Ion Plating in Dry Cutting of Hardened Sintered Steel [PDF]
MATEC Web of Conferences, 2019 In this study, to clarify the wear mechanism of the multilayer AlCrWN/AlCrWSiN-coated tool in cutting of hardened sintered steel, the rate of wear in the cutting of hardened sintered steel using three types of coated tools was investigated.
Wada Tadahiro, Hanyu Hiroyuki
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TEM observations of wear mechanisms of TiAlCrN and TiAlN/CrN coatings grown by combined steered-arc/unbalanced magnetron deposition [PDF]
, 1999 The dry sliding wear of monolayer TiAlCrN and TiAlCrYN and multilayer TiAlN/CrN coatings has been investigated against a BM2 tool steel counterface using a ring on block configuration at 91 N, 0.42 m/s.
Luo, Quanshun +2 more
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Italian National Conference on Sensors, 2021 This article presents a control system for a cutting tool condition supervision, which recognises tool wear automatically during turning. We used an infrared camera for process control, which—unlike common cameras—captures the thermographic state, in ...
Nika Brili, M. Ficko, S. Klančnik
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Tool Wear Effect on Cutting Forces: In Routing process of Aleppo Pine Wood [PDF]
, 2009 This paper uses the cutting forces in a routing process of Aleppo pine wood to estimate the tool wear effect. The aim is to obtain further information about the tool wear effect by monitoring the variation in the cutting forces.
AKNOUCHE, Hamid +5 more
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A study on wear evaluation of railway wheels based on multibody dynamics and wear computation [PDF]
, 2010 The wear evolution of railway wheels is a very important issue in railway engineering. In the past, the reprofiling intervals of railway vehicle steel wheels have been scheduled according to designers' experience.
Ambrosio, J. +6 more
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Mekanisme Aus Pahat Putar pada Pemesinan Magnesium AZ31
Rekayasa Mesin, 2020 Magnesium alloy is one of the most popular light material which was used in biomedical. Magnesium alloy is very light, resistant to corrosion and good biocompatible. However, magnesium alloy is flammable, so it is effortless to burn.
Gusri Akhyar Ibrahim, Suryadiwansa Harun
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