Experimental Validation of the Potentials of a Super High Performance Diesel Engine Oil in the Laboratory and Establishing Reliability of Performance in Field Evaluation

1996 ◽  
Author(s):  
S K Mazumdar ◽  
O P Tiwari ◽  
D M Chaubey ◽  
G S Kapur ◽  
A M Rao ◽  
...  
Keyword(s):  
Diesel Engine ◽  
High Performance ◽  
Experimental Validation ◽  
Field Evaluation ◽  
Engine Oil

Development of a high performance railroad diesel engine oil for improved oil consumption control

1997 ◽  
Vol 9 (4) ◽  
pp. 435-447 ◽  
Author(s):  
S. K. Mazumdar ◽  
O. P. Tiwari ◽  
D. M. Chaubey ◽  
A. M. Rao ◽  
S. P. Srivastava ◽  
...  
Keyword(s):  
Diesel Engine ◽  
High Performance ◽  
Engine Oil ◽  
Oil Consumption ◽  
Consumption Control

Particulate Filter Design for High Performance Diesel Engine Application

2008 ◽  
Vol 1 (1) ◽  
pp. 1307-1312
Author(s):  
Cheng G. Li ◽  
Hein Koelman ◽  
Ravi Ramanathan ◽  
Ulrich Baretzky ◽  
Gunter Forbriger ◽  
...  
Keyword(s):  
Diesel Engine ◽  
High Performance ◽  
Filter Design ◽  
Particulate Filter

Tribological Dependence of the High-Performance Ferrous-Based Coating on Different Coating Counterparts in Engine Oil

2016 ◽  
Vol 59 (3) ◽  
pp. 399-407 ◽  
Author(s):  
Yongxin Wang ◽  
Bin Wang ◽  
Jinlong Li ◽  
Fuqiang Ma ◽  
Qunji Xue
Keyword(s):  
High Performance ◽  
Engine Oil

Heat Transfer Properties of Engine Oils

2005 ◽  
Author(s):  
Scott Wrenick ◽  
Paul Sutor ◽  
Harold Pangilinan ◽  
Ernest E. Schwarz
Keyword(s):  
Heat Transfer ◽  
Thermal Conductivity ◽  
Diesel Engine ◽  
Specific Heat ◽  
Mineral Oil ◽  
Engine Oil ◽  
Group V ◽  
Engine Oils ◽  
Heat Transfer Fluids ◽  
Transfer Properties

The thermal properties of engine oil are important traits affecting the ability of the oil to transfer heat from the engine. The larger the thermal conductivity and specific heat, the more efficiently the oil will transfer heat. In this work, we measured the thermal conductivity and specific heat of a conventional mineral oil-based diesel engine lubricant and a Group V-based LHR diesel engine lubricant as a function of temperature. We also measured the specific heat of ethylene glycol. The measured values are compared with manufacturers’ data for typical heat transfer fluids. The Group V-based engine oil had a higher thermal conductivity and slightly lower specific heat than the mineral oil-based engine oil. Both engine oils had values comparable to high-temperature heat transfer fluids.

scholarly journals High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Florin Pop
Keyword(s):  
Monte Carlo ◽  
Big Data ◽  
Numerical Methods ◽  
High Performance ◽  
Data Science ◽  
Experimental Validation ◽  
High Energy Physics ◽  
High Energy ◽  
Performance Computing ◽  
Energy Physics

Modern physics is based on both theoretical analysis and experimental validation. Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models. Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization. High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. This paper presents existing computational methods for high energy physics (HEP) analyzed from two perspectives: numerical methods and high performance computing. The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities.

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