G
Greg Shaver
Researcher at Purdue University
Publications - 7
Citations - 62
Greg Shaver is an academic researcher from Purdue University. The author has contributed to research in topics: Exhaust gas recirculation & Internal combustion engine. The author has an hindex of 4, co-authored 7 publications receiving 57 citations.
Papers
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Journal ArticleDOI
Fuel-efficient exhaust thermal management using cylinder throttling via intake valve closing timing modulation:
Akash Garg,Mark Magee,Chuan Ding,Leighton Roberts,Greg Shaver,Edward Koeberlein,Ray Shute,David Koeberlein,James McCarthy,Douglas Nielsen +9 more
TL;DR: In this paper, the effect of cylinder throttling on exhaust gas temperatures, fuel consumption, in-cylinder combustion and emissions was analyzed, and a significant increase in turbine outlet temperature accompanied by a decrease in fuel consumption and NOx and particulate matter emissions was observed.
Proceedings ArticleDOI
A nonlinear model-based controller for premixed charge compression ignition combustion timing in diesel engines
TL;DR: A nonlinear controller is developed and implemented to control the engine combustion timing during diesel PCCI operation by targeting desired values of the in-cylinder oxygen concentration, pressure, and temperature during early fuel injection.
Journal ArticleDOI
Control-Oriented Gas Exchange Model for Diesel Engines Utilizing Variable Intake Valve Actuation
Journal ArticleDOI
Oil Accumulation and First Fire Readiness Analysis of Cylinder Deactivation
Mayura H Halbe,Brad Pietrzak,David Fain,Aswin K Ramesh,Greg Shaver,James McCarthy,Mike Ruth,Edward Koeberlein +7 more
TL;DR: In this article, a strategy to estimate in-cylinder oil accumulation during cylinder deactivation and first fire readiness following CDA is described, through comparison of individual heat realease profiles before and after CDA.
Proceedings ArticleDOI
Control Design Amenable Model of Needle Position for a Direct Acting Piezoelectric Fuel Injector
TL;DR: In this article, a model simplification and reduction strategy of an experimentally validated, physics-based 13 state model of a direct acting piezo electric injector is presented. And the resulting reduced order model for needle dynamics is validated for both single and multi pulse conditions.