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CALSCALE:GREGORIAN
X-WR-CALNAME:Computational Analyses in HD Truck Industry
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260912T072422Z
UID:tag:localist.com\,2008:EventInstance_4102869
DTSTART:20181115T210000Z
DTEND:20181115T220000Z
DESCRIPTION:ME-EM Graduate Seminar Speaker Series\n\nproudly presents:\n\nC
 hang-Wook Lee\nPACCAR Technical Center\n\nAbstract: Demand for better fuel
  efficiency in automotive industry is ever growing. Clear trade‐off betw
 een the efficiency and emissions has been posing a significant challenge\,
  especially with emission standards being more stringent\, too. Computatio
 nal modeling and analysis has become an element in development process\, b
 ecause it helps expedite project and save resource. High performance compu
 ting environment enables high fidelity models run faster. Computational de
 sign optimization over a vast design space is becoming a common practice. 
 System level model development with component model integration is a key t
 o leverage the progress and to further the capability.\n\nBio: Chang‐Woo
 k Lee is the Powertrain Simulation Manager at PACCAR Technical Center. He 
 is responsible for modeling and analysis for engine\, after‐treatment sy
 stem\, drivetrain and vehicle fuel economy predictions to support other di
 visions. He has more than 20 years of experience in IC engine and truck fi
 eld\, covering testing\, design and analysis across academia and industry.
  After completing M.S. and B.S. at Sungkyunkwan University in Korea\, he w
 orked for Hyundai‐Kia Motor Company for 6 years and half. Then\, he went
  to University of Cambridge for his Ph.D. in turbulent combustion modeling
 . He was a post‐doc and Assistant Scientist at University of Wisconsin
 ‐Madison / Engine Research Center before working on combustion modeling 
 at Cummins for years. He has been with PACCAR for five years and is intere
 sted in component and system optimization for better truck efficiency.\n\n
 Invited by: Youngchul Ra
GEO:47.119377;-88.547073
LOCATION:Electrical Energy Resources Center (EERC)\, 103
SUMMARY:Computational Analyses in HD Truck Industry
URL;VALUE=URI:https://events.mtu.edu/event/computational_analyses_in_hd_tru
 ck_industry
CATEGORIES:Academics
CATEGORIES:Lectures/Seminars
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