Today’s manufacturing robots are sophisticated mechatronics systems that require PLM traceability and dependency management to ensure engineers in each design domain to understand the impact of their decisions on other domains.
I can relate to the discussion about the major obstacles of integrating data with multiple vendor's tools across multiple domains. With design cycle times becoming more and more compressed, it is so important to have the right data immediately available at a designer's fingertips. As the article stated, too often it seems that we have to spend excessive time digging up, verifying and converting design data instead of spending more time on the actual design itself. The right PLM tools and system can be very beneficial.
Researchers at the University of Maryland have achieved a first in lithium-ion battery science: the development of a successful lithium-based battery using one material for all three core components of a battery -- anode, cathode, and electrolyte.
The online Bar Steel Fatigue Database for automotive design engineers has been updated for the fifth time and now contains 134 iterations, or grade/process combinations. It provides better predictability for designing parts with long-term reliability and durability.
FPGAs use programmable fabric to create custom logic, but this flexibility comes at a cost -- usually around 10 times more silicon real estate and 10 times the power dissipation. Can we really claim any FPGA is low power?
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