Articles with "roughness prediction" as a keyword



A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning

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Published in 2025 at "Journal of Intelligent Manufacturing"

DOI: 10.1007/s10845-025-02602-8

Abstract: This study proposes a novel surface roughness prediction system that uses machine learning and dynamic inputs for additively-manufactured, Carbon-Fiber-Reinforced-Polymer tubular workpieces. First, an investigation of the effects of standard machining conditions on the generated surface… read more here.

Keywords: roughness prediction; surface roughness; prediction system; machine learning ... See more keywords
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Surface roughness prediction with new barrel-shape mills considering runout: Modelling and validation

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Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108670

Abstract: Abstract Complex aeronautic components such as impellers and blade disks require barrel-end mills having complex geometries to reproduce freeform surfaces. On these parts, the specified surface quality has a key role in wear resistance, ductility… read more here.

Keywords: surface roughness; surface; geometry; roughness prediction ... See more keywords

Broad Learning System Based on Binary Grey Wolf Optimization for Surface Roughness Prediction in Slot Milling

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3144232

Abstract: Surface roughness is considered to be one of the most significant indicators for evaluating machining quality. Manufacturing industries generally aim to achieve high product quality while considering reducing production costs and time. Therefore, an accurate… read more here.

Keywords: roughness prediction; surface roughness; broad learning; roughness ... See more keywords

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3214630

Abstract: Quantification of machined surface roughness is critical to enabling estimation of part performance such as tribology and fatigue. As a contactless alternative to the traditional contact profilometry, photographic methods have been widely applied due to… read more here.

Keywords: surface roughness; transform; roughness prediction; surface ... See more keywords

SURFACE ROUGHNESS AND ITS PREDICTION IN HIGH SPEED MILLING OF ALUMINUM ALLOYS WITH PCD AND CEMENTED CARBIDE TOOLS

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Published in 2019 at "MM Science Journal"

DOI: 10.17973/mmsj.2019_11_2019062

Abstract: Milling structural components from aluminum under enormous requirements of productivity and quality from the aerospace perspective is still the subject of extensive research. The assessment strategies of the surface quality are a big challenge for… read more here.

Keywords: topography; surface roughness; roughness prediction;