Advances in real-time GPR-based geosensing for mining machine control

A new methodology to generate instruction commands for real-time machine control instead of preparing NC programs is developed under the CAM-CNC integration concept. A machine tool based on this methodology can eliminate NC program preparation, achieve cutting process control, reduce production lead time, and realize an autonomous distributed factory. The special feature of this methodology is the generation of instruction commands in real time for the prompt machine control instead of NC programs. Digital Copy Milling (DCM), which digitalizes copy milling, is realized by referring only to the CAD model of the product. Another special feature of this methodology is the control of the tool motion according to the information predicted by a cutting force simulator. This feature achieves both the improvement in the machining efficiency and the avoidance of machining trouble. In this study, the customized end milling operation of a dental artificial crown is realized as an application using the new methodology mentioned above. In this application, the CAM operation can be eliminated for the NC program generation, and tool breakage can be avoided based on the tool feed speed control from the predicted cutting force. The result shows that the new methodology has good potential to achieve customized manufacturing, and can realize both high productivity and reliable machining operation.

Download Full-text

Towards the smart construction site: Improving productivity and safety of construction projects using multi-agent systems, real-time simulation and automated machine control

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2012.6465160 ◽

2012 ◽

Cited By ~ 4

Author(s):

Amin Hammad ◽

Faridaddin Vahdatikhaki ◽

Cheng Zhang ◽

Mohammed Mawlana ◽

Ahmad Doriani

Keyword(s):

Real Time ◽

Construction Projects ◽

Construction Site ◽

Multi Agent Systems ◽

Real Time Simulation ◽

Agent Systems ◽

Time Simulation ◽

Multi Agent ◽

Machine Control

Download Full-text

Mining machine control in virtual working kinematics

Mining Technology ◽

10.1179/1743286313y.0000000034 ◽

2013 ◽

Vol 122 (3) ◽

pp. 125-133

Author(s):

G L Danko

Keyword(s):

Mining Machine ◽

Machine Control

Download Full-text

Design of Carpet-Knitting Machine Control System Based on Embedded System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.743.239 ◽

2015 ◽

Vol 743 ◽

pp. 239-243

Author(s):

W.G. Lv ◽

J. Bai ◽

Ce Zhang

Keyword(s):

Control System ◽

Embedded System ◽

Real Time ◽

High Performance ◽

Dynamic Control ◽

Reliable Operation ◽

Core Component ◽

Real Time Visualization ◽

Machine Control ◽

Working Performance

Electronic jacquard machine is the main knitting equipment now, and its control system is the device’s core component that can influence working performance. This paper introduces design and implementation of the Electronic Jacquard Control System for the warp woof knitting machine, and it is a high performance and scalable control system. The hardware of control system is designed with modular hierarchical method. The system contains hardware buffer and ensure reliable operation in real time, can continue weaving after outages, while, with sufficient flexibility and maintainability, can be adapted to different needs of different grades of carpet jacquard equipment. Control system supports a variety of pattern data input, providing flower pattern compilation features real-time visualization of dynamic control of the weaving process to improve the efficiency of the weaving machine. Control system based on general hardware and software platform: ARM9 and Embedded Linux operating system.

Download Full-text

Task decomposition and algorithm development for real-time motion control of a continuous mining machine

10.6028/nist.ir.4596 ◽

1991 ◽

Author(s):

Hui-Min Huang ◽

John Albert Horst ◽

Richard Quintero

Keyword(s):

Real Time ◽

Motion Control ◽

Mining Machine ◽

Algorithm Development ◽

Task Decomposition ◽

Time Motion ◽

Continuous Mining

Download Full-text

Development of Innovative Intelligent Machine Tool Based on CAM-CNC Integration Concept – Adaptive Control Based on Predicted Cutting Force –

International Journal of Automation Technology ◽

10.20965/ijat.2019.p0373 ◽

2019 ◽

Vol 13 (3) ◽

pp. 373-381

Author(s):

Isamu Nishida ◽

Ryo Tsuyama ◽

Keiichi Shirase ◽

Masahiro Onishi ◽

Katsuyuki Koarashi ◽

...

Keyword(s):

Adaptive Control ◽

Machine Tool ◽

Cutting Force ◽

Real Time ◽

Machining Efficiency ◽

Intelligent Machine ◽

Computer Aided ◽

Machine Control ◽

Digital Copy ◽

Copy Milling

A new methodology to generate instruction commands for prompt machine control as a replacement for the previously prepared numerical control (NC) programs is developed to realize an innovative intelligent machine tool. This machine tool can eliminate NC program preparation, achieve cutting process control, reduce the production lead time, and realize an autonomous distributed factory. In this study, the innovative intelligent machine tool based on the computer-aided manufacturing-computer NC integrated concept is developed. The special feature of this system is to generate instruction commands in real time for prompt machine control instead of using NC programs. Digital Copy Milling, which is a digitized version of traditional copy milling, is realized by using only the computer-aided design model of the product. In this system, the cutting-force simulation is performed simultaneously with the real-time tool path generation. Then, the tool feed rate can be controlled according to the predicted cutting force. Therefore, both the improvement of the machining efficiency and the avoidance of machining problems can be achieved. The instantaneous cutting force model predicts the cutting force. In this system, the work material is represented by the voxel model, and the uncut chip thickness is calculated discretely from the number of voxels removed. Thus, it is possible to predict the cutting force in the case of non-uniform contact between the tool and the work material. In this study, a machining simulation is conducted to validate the proposed method. The results of the simulation show successful tool feed speed adaptation based on the predicted cutting force. The results also show the effective reduction of the machining time. A case study of a custom-made product for dental prosthetics is examined as a good application of both the proposed adaptive control and the Digital Copy Milling system. Through this method, it is possible to improve the machining efficiency and prevent tool breakage.

Download Full-text