TY - JOUR

T1 - Prediction of the tool change point in a polishing process using a modular software framework

AU - Meier, Nicolas

AU - Papadoudis, Jan

AU - Georgiadis, Anthimos

N1 - Conference code: 13

PY - 2020

Y1 - 2020

N2 - A modular framework ensuring zero defect manufacturing developed for applications in different production processes was successfully tested on a polishing machine. Algorithms, predicting the optimal time to change the tools, were deployed to the framework and showed reproducible results under similar polishing conditions. Due to the modular software framework the algorithms, can be easily adjusted and changed, enabling the system to self-improve over time with minimal effort. The algorithms have been implemented into an embedded system.

AB - A modular framework ensuring zero defect manufacturing developed for applications in different production processes was successfully tested on a polishing machine. Algorithms, predicting the optimal time to change the tools, were deployed to the framework and showed reproducible results under similar polishing conditions. Due to the modular software framework the algorithms, can be easily adjusted and changed, enabling the system to self-improve over time with minimal effort. The algorithms have been implemented into an embedded system.

KW - Modular software

KW - Polishing

KW - Prediction

KW - Tool change point

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85089099932&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2020.05.059

DO - 10.1016/j.procir.2020.05.059

M3 - Conference article in journal

AN - SCOPUS:85089099932

VL - 88

SP - 341

EP - 345

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 13th CIRP Conference on INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME ’19

Y2 - 17 July 2019 through 19 July 2019

ER -