Motorkomponenten

Mohr, Uwe; Ißler, Wolfgang; Garnier, Thierry; Breuer, Claus; Brillert, Hans-Rainer; Helsper, Günter; Langlois, Karl B.; Wagner, Michael; Ohrnberger, Gerd; Robota, Arnim; Meinig, Uwe; Hannibal, Wilhelm; Schopp, Johann; Menk, Werner; Papadimitriou, Ilias; Rau, Guido; Christgen, Wolfgang; Haas, Michael J.; Nitz, Norbert; Josef, Olaf; Linke, Axel; Bonse, Rudolf; Krüger, Gerd; Lamparski, Christof; Hoffmann, Hermann; Lechner, Martin; Schneider, Falk; Lettmann, Markus; Kirschner, Rolf; Strauß, Andreas C.; Bauer, Péter; Walter, Ralf; Körfer, Wolfgang; Neu, Michael; Fusenig, Franz; Aufischer, Rainer; Weber, Andreas; Korn, Alexander; Pelz, Andreas; Alex, Matthias; Diez, Armin; Kullen, Wilhelm; Göb, Oliver; Griesinger, Eberhard; Klump, Uwe Georg; Werner, H.; Jende, Siegfried; Kurtz, Thomas G.; Neumaier, Hubert; Amm, Peter; Pawellek, Franz; Sierakowski, Mirko

doi:10.1007/978-3-658-04678-1_7

Cited by 1 publication

(4 citation statements)

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“…Shafts in multicylinder ICEs, such as crankshafts or camshafts, are generally supported by sliding bearings (also known as journal or plain bearings) [8]. This bearing type is hydrodynamically lubricated, i.e., due to the convergence of the bearing surfaces, their relative motion and the viscosity of the lubricant fluid, a positive pressure is developed that separates the surfaces by a lubricant film [9].…”

Section: Introductionmentioning

confidence: 99%

“…This bearing type is hydrodynamically lubricated, i.e., due to the convergence of the bearing surfaces, their relative motion and the viscosity of the lubricant fluid, a positive pressure is developed that separates the surfaces by a lubricant film [9]. Sliding bearings have a high capability to withstand and dampen shocks, may be divided for easy assembly, come with low space requirements and are insensitive to grime [8][9][10]. Compared to roller bearings, sliding bearings cost less but have higher friction [8].…”

Section: Introductionmentioning

confidence: 99%

“…Sliding bearings have a high capability to withstand and dampen shocks, may be divided for easy assembly, come with low space requirements and are insensitive to grime [8][9][10]. Compared to roller bearings, sliding bearings cost less but have higher friction [8]. During normal engine operation, the lubricant film is generally thick enough that the shaft surface does not come into contact with the opposing bearing surface; hence near-zero bearing wear can be expected [9].…”

Section: Introductionmentioning

confidence: 99%

“…During engine start or stop, there is no or too little relative motion, so the lubricant film is either non-existent or too small to completely separate the surfaces. In such cases, metalto-metal contacts between the shaft and the opposing bearing surface and thus wear can occur [8,[10][11][12][13]. Although the use of low viscosity oils has the potential to reduce overall friction, it also decreases the lubricant oil film thickness and therefore increases the risk of metal-to-metal contacts [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Data-Driven Sliding Bearing Temperature Model for Condition Monitoring in Internal Combustion Engines

Laubichler¹,

Kiesling²,

Silva

et al. 2022

Lubricants

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Condition monitoring of components in internal combustion engines is an essential tool for increasing engine durability and avoiding critical engine operation. If lubrication at the crankshaft main bearings is insufficient, metal-to-metal contacts become likely and thus wear can occur. Bearing temperature measurements with thermocouples serve as a reliable, fast responding, individual bearing-oriented method that is comparatively simple to apply. In combination with a corresponding reference model, such measurements could serve to monitor the bearing condition. Based on experimental data from an MAN D2676 LF51 heavy-duty diesel engine, the derivation of a data-driven model for the crankshaft main bearing temperatures under steady-state engine operation is discussed. A total of 313 temperature measurements per bearing are available for this task. Readily accessible engine operating data that represent the corresponding engine operating points serve as model inputs. Different machine learning methods are thoroughly tested in terms of their prediction error with the help of a repeated nested cross-validation. The methods include different linear regression approaches (i.e., with and without lasso regularization), gradient boosting regression and support vector regression. As the results show, support vector regression is best suited for the problem. In the final evaluation on unseen test data, this method yields a prediction error of less than 0.4 ∘C (root mean squared error). Considering the temperature range from approximately 76 to 112 ∘C, the results demonstrate that it is possible to reliably predict the bearing temperatures with the chosen approach. Therefore, the combination of a data-driven bearing temperature model and thermocouple-based temperature measurements forms a powerful tool for monitoring the condition of sliding bearings in internal combustion engines.

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Section: Introductionmentioning

confidence: 99%