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学术报告
Prof. Rajiv Shivpuri学术报告会
作者:发布时间:2018-07-09

题目:Modeling and characterization at multiple scales in machining

时间:2018年7月9日 14:00-16:00

地点:机械与动力工程学院 A701会议室

邀请人:张雪萍副教授(制造技术与装备自动化研究所)

 

Biography

Dr. Shivpuri has been a faculty at OSU since 1986. At OSU, Dr. Shivpuri has won the 1997 Harrison Faculty Award for Excellence in Engineering Education and several Lumley Research Awards. Dr. Shivpuri has advised over 100 master theses and doctoral dissertations, and published over 300 research articles in refereed publications. Dr. Shivpuri is elected fellow of ASM International, ASME, CIRP (International Academy for Production Engineering) and SME. Dr. Shivpuri was the 2001 President of NAMRI (North American Manufacturing Research Institute). He is a Magnet Professor with the FIA (Forging Industry Education and Research Foundation), and is active in professional and trade associations such as AIST (Association of Iron and Steel Technology), ITA (International Titanium Association), NADCA (North American Die Casting Association).

 

Research Areas (selected examples)

 

Area 1: Development of Innovative Processes


Reactive Plasma Nastructured Diamond Tribological Surface for Cast Iron Stamping Dies
 

Novel Casting Process for Carbon Modified Hyper-Eutectic Al-Si alloy for forging Wear Resistant parts
 

Advanced net shaped manufacturing of forged steel pistons
 

Glass lubricated extrusion of titanium shapes

Area 2: Integrated Process & Material Design


Phase transformation based high speed machining of titanium alloys

Eliminating defects in powder compaction and extrusion

Material evolution models for hot deformation of superalloys

Area 3: Intelligent Process Design & Control


MICROL: Model based online prediction and control of material and processing states in hot deformation
 

SmartSmith: A real time inspection based prediction and control system for intelligent forging

Area 4: Process design for reduced failure risk


A computational Bayesian decomposition framework for the product – process design under uncertainty
 

Inclusion based design of material systems for reduced risk.
 

Probabilistic process design for fracture critical parts
 

Design and control of die casting process for reduced porosity in automotive cylinder blocks

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