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Statistical Simulation of a Multi-Phase Tool Machining a Multi-PhaseWorkpiece

Herbrandt, Swetlana; Ligges, Uwe; Ferreira, Manuel; Kansteiner, Michael; Weihs, Claus

Abstract: The continuing development of the multi-phase material concrete leads to an increased demand for the optimization of diamond impregnated tools. Because of high initial investment costs for diamond tools, not only the reduction of processing time, but also the reduction of tool wear is in the focus of interest. While some parameters like cutting speed can be controlled, other important parameters like the number of cutting diamonds are beyond our influence. To manage this randomness, simulation models for diamond and segment grinding are developed. In this work we will present two models for a segment grinding simulation. The first model is an extension of the simulation model proposed by Raabe et al. (2011) for single diamond scratching on basalt. Beside the goodness-of-fit, the simulation time is an essential factor in the development and choice of simulation models. The difficulties encountered while extending this model are discussed and we provide a solution to accelerate the workpiece simulation. In order to achieve a further reduction of simulation time, a second model is introduced under the assumption of pyramidal shaped diamonds. The simulation results are compared with single diamond experimental data and a feasibility study is performed for the segment setup.


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2016
Sprache Englisch
Identifikator DOI: 10.5445/KSP/1000058747/08
ISSN: 2363-9881
URN: urn:nbn:de:swb:90-677661
KITopen ID: 1000067766
Erschienen in Archives of Data Science, Series A
Band 1
Heft 1
Seiten 129-155
Lizenz CC BY-SA 3.0 DE: Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 3.0 Deutschland
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