J
Jean-François Rigal
Researcher at Institut national des sciences Appliquées de Lyon
Publications - 20
Citations - 1938
Jean-François Rigal is an academic researcher from Institut national des sciences Appliquées de Lyon. The author has contributed to research in topics: Machining & Surface roughness. The author has an hindex of 15, co-authored 20 publications receiving 1721 citations. Previous affiliations of Jean-François Rigal include University of Lyon & Lyon College.
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Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool
TL;DR: In this paper, the relationship between cutting parameters (cutting speed, feed rate and depth of cut) and machining output variables (surface roughness, cutting forces) through the response surface methodology (RSM) is analyzed and modeled.
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Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization
TL;DR: In this paper, the effects of cutting speed, feed rate, workpiece hardness and depth of cut on surface roughness and cutting force components in the hard turning were experimentally investigated.
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Numerical and experimental study of dry cutting for an aeronautic aluminium alloy (A2024-T351)
TL;DR: In this paper, numerical and experimental methodologies concerning orthogonal cutting are proposed in order to study the dry cutting of an aeronautic aluminium alloy (A2024-T351).
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Hard machining of hardened bearing steel using cubic boron nitride tool
Mohamed Athmane Yallese,Kamel Chaoui,Nassereddine Zeghib,Lakhdar Boulanouar,Jean-François Rigal +4 more
TL;DR: In this article, the performance of a CBN tool during hard turning of 100Cr6-tempered steel was investigated using a series of long-duration wear tests to elucidate the cutting speed effects on the various tool wear forms.
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On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations
TL;DR: In this article, a surface roughness model was proposed for hard turning by exploiting the response surface methodology (RSM) and the main input parameters of this model are the cutting parameters such as cutting speed, feed rate, depth of cut and tool vibration in radial and in main cutting force directions.