In the case of industrial demand, state existed oil between sliding parts is many.Neural Network is not usable to such a thing because statistical density function of that becomes bathtub curve, which is usually used term in reliability engineering. In other word, too strong scattering data under such a system, I recognized by establishment of CCSC-model .
Dear Prof.Kunichika, Thank you very much for your valuable answer. Since I'm very new for tribology, could you please tell me your suggestion for this matter. I plan to predict friction factor variation of synovial joints. In that case two cartilage surfaces engaging together, but with having time dependent friction respond. So, I plan to predict the friction factor variation by either using neural network or neuro-fuzzy analysis. It would be greatly appreciated, if you can share your idea on it.
I am interested in biological boundary lubrication such role of chondroitin sulfate. I recommend that we must clarify nano mechanism before preparing black box type analyzing method. In the case of mechanical engineering field, we have experienced a hard time.
By the way, when I create CCSC-model, I had just a gout.
Dear Prof.Kunichika,
Your answers are really helpful for me. Thank you very much for your time and consideration. One last, could you please tell me bit further about CCSC-model. I have no idea about it.
Best regards,
Amila
- Badges
- Science topic