Christine Furstoss, GE Global Research Director
Post# of 382
Posted On: 02/11/2014 10:25:43 AM
Christine Furstoss, GE Global Research Director
12/03/13:
http://www.cioreview.com/magazine/Digital-Thr...49974.html
"Once a product has been out with a customer for some time, it will need to be serviced. It is at this stage that a lot of new insights about the product’s usage and shortcomings can be determined. In fact, servicing parts can be thought of as a failure mode and effects analysis for 100 percent of the products , which allows for improvements in the design and manufacturing process (design feedback loop). both the production and the design feedback loop capture information and generate new knowledge for engineering and manufacturing of new and existing parts. This is the essence of GE’s selfimproving brilliant factory. What we are building is a truly open collaborative innovation model that captures and acts on new information in ways that allow product design and manufacturing processes and systems to continuously improve. What’s truly amazing is that we are rapidly reaching a point where machines will be able to make these optimizations themselves through realtime analytics and controls."
" Sensing hardware , feedback and control loops and equipment flexibility must advance to new levels."
http://www.moldmakingtechnology.com/blog/post...turing.jpg
1. Predictability. Manufacturers would benefit from software tools able to predict the outcomes of additive processes. GE is working with partners toward filling this gap.
Only Sigma Labs is developing sensors for real-time feedback control for the additive manufacturing process. Their system offers the predictive control 3D printers need to ensure quality and efficiency.
$AMAVF $SSYS $XONE $SGLB $DDD $VJET
12/03/13:
http://www.cioreview.com/magazine/Digital-Thr...49974.html
"Once a product has been out with a customer for some time, it will need to be serviced. It is at this stage that a lot of new insights about the product’s usage and shortcomings can be determined. In fact, servicing parts can be thought of as a failure mode and effects analysis for 100 percent of the products , which allows for improvements in the design and manufacturing process (design feedback loop). both the production and the design feedback loop capture information and generate new knowledge for engineering and manufacturing of new and existing parts. This is the essence of GE’s selfimproving brilliant factory. What we are building is a truly open collaborative innovation model that captures and acts on new information in ways that allow product design and manufacturing processes and systems to continuously improve. What’s truly amazing is that we are rapidly reaching a point where machines will be able to make these optimizations themselves through realtime analytics and controls."
" Sensing hardware , feedback and control loops and equipment flexibility must advance to new levels."
http://www.moldmakingtechnology.com/blog/post...turing.jpg
1. Predictability. Manufacturers would benefit from software tools able to predict the outcomes of additive processes. GE is working with partners toward filling this gap.
Only Sigma Labs is developing sensors for real-time feedback control for the additive manufacturing process. Their system offers the predictive control 3D printers need to ensure quality and efficiency.
$AMAVF $SSYS $XONE $SGLB $DDD $VJET
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