Friction Prediction is a computational or analytical model within the field of mechanical engineering that enables the estimation of frictional losses in internal combustion engines by quantifying the interaction forces between moving components under operational conditions.
318
Publications
13.2K
Citations
956
Authors
370
Institutions
Publications per year
2017–2026
115
Parents
Publications
318
Advances in material and friction data for modelling of metal machining
Shreyes N. Melkote, Wit Grzesik, J.C. Outeiro et al. · CIRP Annals · 2017 · 279 citations · Full text
Engineering, Manufacturing Engineering, Materials Science +14
1–5 of 318
Authors
956
- TT
7
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- JR
5
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- HR
5
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- DA
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- FA
4
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1–5 of 956
Institutions
370
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
25 publications
1.4K citations
Centre National de la Recherche Scientifique
Paris, France
8 h-index
24 publications
2.2K citations
Loughborough University
Loughborough, United Kingdom
7 h-index
24 publications
735 citations
Laboratoire de Tribologie et Dynamique des Systèmes
Écully, France
6 h-index
20 publications
1.8K citations
University of Leeds
Leeds, United Kingdom
6 h-index
17 publications
498 citations
Tsinghua University
Beijing, China
6 h-index
12 publications
303 citations
Shanghai Jiao Tong University
Shanghai, China
6 h-index
20 publications
660 citations
Centrale Lyon ENISE
Saint-Etienne, France
5 h-index
16 publications
1.5K citations
1–8 of 370
Venues
- Tribology International
32 publications · 1.6K citations
24
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- SAE technical papers on CD-ROM/SAE technical paper series
21 publications · 890 citations
14
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- Wear
11 publications · 600 citations
11
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- Journal of Materials Processing Technology
10 publications · 981 citations
10
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- Journal of Tribology
9 publications · 234 citations
9
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