Details
| Translated title of the contribution | Application of shape error prediction in adaptive process planning for milling – Digital workpiece-models in process planning |
|---|---|
| Original language | German |
| Pages (from-to) | 762-766 |
| Number of pages | 5 |
| Journal | WT Werkstattstechnik |
| Volume | 112 |
| Issue number | 11-12 |
| Publication status | Published - 12 Nov 2022 |
Abstract
Within the CAD/CAM-chain, different digital workpiece models are used to define geometries or to visualize information. In the context of NC simulation, a Dexel-model is used, which offers the possibility to store simulation, process and quality data locally within the workpiece. Thus offering an extensive basis for the training of ML-models. In this paper, the application of a digital workpiece model is presented using the exam-ple of an end milling process with subsequent shape-error-pre-diction. Based on this, a method compensating the predicted shape errors using adaptive process planning to increase the width of cut and adjust the tilt of the mill is described.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Automotive Engineering
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In: WT Werkstattstechnik, Vol. 112, No. 11-12, 12.11.2022, p. 762-766.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Digitale Werkstückmodelle in der Prozessplanung/Application of shape error prediction in adaptive process planning for milling – Digital workpiece-models in process planning
AU - Denkena, Berend
AU - Wichmann, Marcel
AU - Huuk, Julia
N1 - Funding Information: Ein großer Dank der Autoren geht an die Deutsche Forschungsgemeinschaft und die Sieglinde-Vollmer-Stiftung für die finanzielle Unterstützung.
PY - 2022/11/12
Y1 - 2022/11/12
N2 - Within the CAD/CAM-chain, different digital workpiece models are used to define geometries or to visualize information. In the context of NC simulation, a Dexel-model is used, which offers the possibility to store simulation, process and quality data locally within the workpiece. Thus offering an extensive basis for the training of ML-models. In this paper, the application of a digital workpiece model is presented using the exam-ple of an end milling process with subsequent shape-error-pre-diction. Based on this, a method compensating the predicted shape errors using adaptive process planning to increase the width of cut and adjust the tilt of the mill is described.
AB - Within the CAD/CAM-chain, different digital workpiece models are used to define geometries or to visualize information. In the context of NC simulation, a Dexel-model is used, which offers the possibility to store simulation, process and quality data locally within the workpiece. Thus offering an extensive basis for the training of ML-models. In this paper, the application of a digital workpiece model is presented using the exam-ple of an end milling process with subsequent shape-error-pre-diction. Based on this, a method compensating the predicted shape errors using adaptive process planning to increase the width of cut and adjust the tilt of the mill is described.
UR - http://www.scopus.com/inward/record.url?scp=85144668238&partnerID=8YFLogxK
U2 - 10.37544/1436-4980-2022-11-12-36
DO - 10.37544/1436-4980-2022-11-12-36
M3 - Artikel
AN - SCOPUS:85144668238
VL - 112
SP - 762
EP - 766
JO - WT Werkstattstechnik
JF - WT Werkstattstechnik
IS - 11-12
ER -