CFRP kompozitok forgácsolásának heurisztikus optimalizálása
Heuristic optimisation of CFRP composite machining
Keywords:
CFRP, Machining, Optimisation, Monte Carlo method/CFRP, Forgácsolás, Optimalizálás, Monte Carlo szimulációAbstract
This research aims to minimise machining defects in carbon fibre-reinforced polymer (CFRP) composites by optimising the local translation and rotation of the contour. Using a custom virtual plate generator and a fibre cutting angle-based penalty function, Brute Force and Monte Carlo algorithms were evaluated. Results show that the MC method provides a threefold speed increase with a negligible (under 1%) quality loss.
Kivonat
A kutatás célja a szénszál-erősítésű polimer (CFRP) kompozitok forgácsolási hibáinak minimalizálása a kontúr lokális eltolásának és elforgatásának optimalizálásával. Egyedi virtuális lemezgeneráló és szálvágási szögön alapuló büntetőfüggvény segítségével értékeltük a teljes keresés és a Monte Carlo algoritmusokat. A vizsgálatok igazolták, hogy a Monte Carlo módszer háromszoros sebességnövekedést biztosít elhanyagolható (1% alatti) minőségromlás mellett.
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