Results 31 to 40 of about 77,670 (214)
Research on Classification and Recognition of Micro Milling Tool Wear Based on Improved DenseNet
IEEE AccessDue to the small size of micro milling tools and wear sizes even in the micrometer range, monitoring tool wear is extremely challenging. The wear state of cutting tools directly affects machining quality and productivity, becoming a key factor ...
Lei Feng +3 more
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Research on Tool Wear Based on 3D FEM Simulation for Milling Process
Journal of Manufacturing and Materials Processing, 2020 In the process of metal cutting, the anti-wear performance of the tool determines the life of the tool and affects the surface quality of the workpiece. The finite element simulation method can directly show the tool wear state and morphology, but due to
Zhibo Liu +5 more
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Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition
MATEC Web of Conferences, 2016 Metal cutting process is a nonlinear system to obtain the tool wear state and chaos theory are introduced tool wear and feature extraction of acoustic emission signal analysis and classification of tool wear state and wear prediction based on support ...
Guan Shan, Pang Hongyang, Kang Zhenxing
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Applied Sciences, 2023 Ultrasonic cutting is an advanced technology for processing Nomex honeycomb materials. The disc cutter is one of the most commonly used tools, whose wear and breakage state have an important impact on the honeycomb material machining process.
Leilei Li +5 more
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Analysis of Tool Wear in GH4169 Material Milling Process
Lubricants, 2023 Nickel-based superalloy GH4169 is a material with strong mechanical properties and is difficult to process. In order to reduce tool wear during material processing and improve the workpiece surface processing quality, based on the finite element ...
Xueguang Li +3 more
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Lubricants, 2022 Tool wear behavior is mainly influenced by cutting parameters for a given tool–workpiece pair and cutting process. Rapid tool wear increases production costs and deteriorates machining quality in manufacturing industries.
Delin Liu, Zhanqiang Liu, Bing Wang
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An Influence of Parameters of Micro-electrical Discharge Machining on Wear of Tool Electrode
Archive of Mechanical Engineering, 2017 To achieve better precision of features generated using the micro-electrical discharge machining (micro-EDM), there is a necessity to minimize the wear of the tool electrode, because a change in the dimensions of the electrode is reflected directly or ...
Puthumana Govindan
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IEEE Access, 2021 Reliable and precise multi-step-ahead tool wear state prediction is significant to modern industries for maintaining part quality and reducing cost. This study proposes a Clustering Feature-based Recurrent Fuzzy Neural Network (CFRFNN) for tool wear ...
Jiachen Yao, Baochun Lu, Junli Zhang
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Micromachines, 2022 Accurate cutting force prediction is crucial in improving machining precision and surface quality in the micro-milling process, in which tool wear and runout are essential factors.
Shuaishuai Gao +3 more
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Havacılık ve Uzay Teknolojileri Dergisi, 2003 The main goal of this work is to study the influence of the tool failure mechanisms and on the tool life. Aiming to achieve this goal, several tool failure mechanisms are explained.
Ufuk Özdemir, Muzaffer Erten
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