Extended octree for cutting force prediction

Li, J. G.; Yao, Ying Xue; Xia, Pingping; Liu, C. Q.; Wu, Chih-Feng

doi:10.1007/s00170-007-1277-4

Cited by 18 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Refs. [32,33], geometric and physical simulation were integrated to predict the cutting forces. Kawashima et al [34] developed an extended Octree called Graftree to represent more faithfully 3D objects in the geometric simulation ( Fig.…”

Section: Octree-based Methodsmentioning

confidence: 99%

Survey on Simulation Methods in Multi-axis Machining

Bouhadja

Bey

2015

Transactions on Engineering Technologies

View full text Add to dashboard Cite

In industry, the evolution of productivity and quality of mechanical manufacture of complex shape parts (mold, automobile, form : : : ) is marked by the development of several machining simulation techniques for modeling and predicting the manufacturing process to represent the most realistic cut phenomenon. There exist several machining simulation techniques and touch various levels. Thus, this chapter summarizes the literature review and presents the techniques in a simplified scheme for the rapid exploration in this area, and in order to direct the reader to select an appropriate approach linked to a geometric or physical problem at a given scales in Part-Tool-Machine system. Particular attention is given to geometric simulation methods of the macroscopic scale; completed by brief comparison between models of workpiece representation for material removal process (Dexel, Voxel, Triple-Dexel).

show abstract

Section: Octree-based Methodsmentioning

confidence: 99%

Survey on Simulation Methods in Multi-axis Machining

Bouhadja

Bey

2015

Transactions on Engineering Technologies

View full text Add to dashboard Cite

show abstract

“…This article concentrates on geometry machining simulation which is the fundamental function for Digital Twin. Physical simulation is also essential for machining status estimating: 18,19 cutting force, surface quality, and tool wear. Credible physical simulation depends heavily on efficient and accurate geometry simulation.…”

Section: Challenges For Machining Simulation Systemmentioning

confidence: 99%

Digital Twin–oriented real-time cutting simulation for intelligent computer numerical control machining

Cao

Zhao

Xiao

2020

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Digital Twin has become a frontier research topic in recent years and the important development direction of intelligent manufacturing. For numerical control machining, a Digital Twin system can be used as an intelligent monitoring and analysis center by reflecting the real machining process in a virtual environment. The machining simulation is the key technology to realize this kind of application. However, existing machining simulation systems are designed for off-line situation that cannot be used directly in Digital Twin environment. The challenges for machining simulation are analyzed and explained in this article: (1) complete process data representation in simulation system; (2) executing in cooperating with computer numerical control system; (3) more efficient simulation algorithm. In order to meet these challenges, a new machining simulation system is proposed. STEP-NC standard is used to save complete process data exported from the computer-aided manufacturing system and synchronization algorithm is developed based on the communication data of computer numerical control system. Most importantly, an optimized tri-dexel-based machining simulation algorithm is developed to perform high efficiency that can follow the real machining process. Finally, a Digital Twin system for NC machining is presented that has been tested and verified in a workshop located in COMAC (Commercial Aircraft Corporation of China Ltd).

show abstract

“…There are many papers considering analysis and prediction of milling process [Kim et al 2000, Li et al 2004, Li et al 2008, Liu et al 2005, Sadeghi et al 2003, Yun & Cho 2000. Turning process is analysed rarely even though most of cutting operations are turning [Li 2001, Lian et al 2005.…”

Section: Application Of Model For Predictive Control Systemsmentioning

confidence: 99%

Simulation of Cutting Process – Modeling and Applications

Jabłoński¹

2010

Engineering the Future

View full text Add to dashboard Cite

Extended octree for cutting force prediction

Cited by 18 publications

References 9 publications

Survey on Simulation Methods in Multi-axis Machining

Survey on Simulation Methods in Multi-axis Machining

Digital Twin–oriented real-time cutting simulation for intelligent computer numerical control machining

Simulation of Cutting Process – Modeling and Applications

Contact Info

Product

Resources

About