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Internal combustion (IC) engines that meet Tier 4 Final emissions standards comprise of multiple engine operation and control parameters that are essential to achieve the low levels of NOx and soot emissions. Given the numerous degrees of freedom and the tight cost/time constraints related to the test bench, application of virtual engineering to IC engine development and emissions reduction programmes is increasingly gaining interest. In particular, system level simulations that account for multiple cycle simulations, incylinder turbulence, and chemical kinetics enable the analysis of combustion characteristics and emissions, i.e. beyond the conventional scope of focusing on engine performance only. Such a physico-chemical model can then be used to develop Electronic Control Unit in order to optimise the powertrain control strategy and/or the engine design parameters.

This paper uses a one-dimensional (1-D) simulation based approach to compare the steady state and transient performance of a Split Cycle Clean Combustion (SCCC) diesel engine to a similarly sized conventional diesel engine. Caterpillar Inc's one-dimensional modeling tool “Dynasty” is used to convert the simulation model of Caterpillar's current production turbocharged diesel engine Cat® C4.4 (used in their Hydraulic Excavator 316) to operate on the SCCC cycle. Steady state and transient engine performance is compared between the two engine variants. This study is focused only on the performance aspects of engine and relies on the other independently published papers for emissions prediction. This paper also demonstrates the use of Caterpillar's proprietary modeling software Dynasty to replicate the two cylinder SCCC engine model presented by University of Pisa in their paper [2].

Since 1992, Caterpillar has invested millions of dollars to purchase CAD software, and spends nearly $2M per year keeping its engineers up-to-date, via instructor lead training (ILT), as new enhancements are introduced. Periodic upgrades to the software also require huge resource (people, costs) commitments for the planning and execution of the training requirements required for a large global workforce. This paper will examine gaps uncovered in the efficiency and effectiveness of the current training process, and the cultural change required as a result of switching from an instructor led environment to a completely web-based solution, which, once deployed, had promised to change the way Caterpillar approached training for the future. The proposed change promised to improve human resource capability by utilizing new technological capabilities, and resulted in improvements in organizational capabilities as well.

Many off-highway machines, including hydraulic excavators, perform cyclical motion in their everyday activities where there is significant acceleration, deceleration, load lifting and hydraulic implement lowering. During that time in conventional off-highway machinery, most of the potential or kinetic energy is dissipated as heat instead of being captured and reused. When these opportunities are well understood and consequently machine systems are designed and integrated properly, fuel efficiency improvements could reach double digit values. It should be noted that the mentioned machine efficiency improvements will still vary depending on the machine size, its application and the characteristics of machine system(s) being applied. An approach for excavator energy flow analysis, coupled with rapid machine control design changes directed to minimization of energy losses is discussed.