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Level 2
Model
Optimization and New Product Development
Benjamin Li,
Metal Data LLC
www.meta4-0.com (Industry 4.0 Metaverse)
<Continue>
6. Quality management system for new variety of development（2）
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1. Advantage of metallurgic model and intelligent learning |
Advantage the New-Generation Level 2 System exist in that, it can reach
extremely high parameter prediction accuracy with its large number of models on
product quality, including:
(1) Tens of thousands of data models for all products;
(2) Logics in designing these data model, such as
the effects of grain size, chemical composition and process on the strength;
(3) Special modeling techniques, which calculates
the grain size based on the measured rolling force of each pass, especially the
finishing pass;
(4) Residual stress induced by incomplete
recrystallization;
(5) Forecasting models for plate profile, center
and edge waves, and camber included in its quality forecasting section.
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2. History Summary of Level 2 System with metallurgical model |
(1) Since 1940s: birth of computer and its application in high cost and
high-return industries
(2) Since 1980s: full computer control in some industries, mainly used
minicomputers
(3) Since mid 1990s: gradually using Windows servers (I began to design the
Windows-based Level 2 System in 1999, and to run it since 2001;I purchased
hardware from Intel and designed software based on Microsoft)
(4) Since 2005, integrating metallurgical models (microstructure models,
metallography, etc.) into the Level 2 System (I was the first to integrate those
models into Level 2 intelligent system; years later, "the father of
microalloying” J. Malcolm Gray, etc., urged the industry to add metallurgical
model into Level 2 System)
(5) 2005 and later : I applied metallurgical models, intelligent learning and
advanced software engineering (uninterrupted upgrade and engineering recognition
of Windows for Level 2 System) worldwide, e.g. in EOS in USA and NISCO in China;
the system has been known as the New-Generation Level 2 SystemLevel 2 Model
Optimization and New Product Development (Metal Data). |
<To Be Continued>
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