Modular CNC Design for Intelligent Machining, Part 2: Modular Integration of Sensor Based Milling Process Monitoring and Control Tasks

1996 ◽  
Vol 118 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Y. Altintas¸ ◽  
W. K. Munasinghe
Keyword(s):  
Process Control ◽  
Real Time ◽  
Process Monitoring ◽  
Tool Path ◽  
Position Control ◽  
Milling Process ◽  
Machining Process ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
And Control

Modular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.

An object-oriented architecture for sensorless cutting force feedback for CNC milling process monitoring and control

2010 ◽  
Vol 41 (5) ◽  
pp. 754-761 ◽  
Author(s):  
Roberto Augusto Gómez Loenzo ◽  
Pedro Daniel Alaniz Lumbreras ◽  
René de Jesús Romero Troncoso ◽  
Gilberto Herrera Ruiz
Keyword(s):  
Cutting Force ◽  
Process Monitoring ◽  
Force Feedback ◽  
Object Oriented ◽  
Milling Process ◽  
Cnc Milling ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
And Control

Using the OPC Standard for Real-Time Process Monitoring and Control

IEEE Software ◽  
2005 ◽  
Vol 22 (6) ◽  
pp. 54-59 ◽  
Author(s):  
Jun Liu ◽  
Khiang Wee Lim ◽  
Weng Khuen Ho ◽  
Kay Chen Tan ◽  
Arthur Tay ◽  
...  
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Time Process ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
And Control

scholarly journals Monitoring and Control of Cutting Forces in Machining Processes: A Review

2009 ◽  
Vol 3 (4) ◽  
pp. 445-456 ◽  
Author(s):  
Atsushi Matsubara ◽  
◽  
Soichi Ibaraki
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Tool Path ◽  
Machining Process ◽  
Monitoring And Control ◽  
Machining Processes ◽  
Control Schemes ◽  
Process Monitoring And Control ◽  
Optimization Schemes ◽  
And Control

Much research has gone into machining process monitoring and control. This paper reviews monitoring and control schemes of cutting force and torque. Sensors to measure cutting force and torque, as well as their indirect estimation, are reviewed. Feedback control schemes and model-based feedforward scheduling schemes of cutting forces, as well as tool path optimization schemes for cutting force regulation, are reviewed. The authors’ works are also briefly presented.

Machining Process Monitoring and Control: The State-of-the-Art

2004 ◽  
Vol 126 (2) ◽  
pp. 297-310 ◽  
Author(s):  
Steven Y. Liang ◽  
Rogelio L. Hecker ◽  
Robert G. Landers
Keyword(s):  
Control Systems ◽  
Process Monitoring ◽  
Machining Process ◽  
Monitoring And Control ◽  
Process Automation ◽  
The Past ◽  
Process Monitoring And Control ◽  
Monitoring And Control Systems ◽  
Control Technologies ◽  
And Control

Research in automating the process level of machining operations has been conducted, in both academia and industry, over the past few decades. This work is motivated by a strong belief that research in this area will provide increased productivity, improved part quality, reduced costs, and relaxed machine design constraints. The basis for this belief is two-fold. First, machining process automation can be applied to both large batch production environments and small batch jobs. Second, process automation can autonomously tune machine parameters (feed, speed, depth of cut, etc.) on-line and off-line to substantially increase the machine tool’s performance in terms of part tolerances and surface finish, operation cycle time, etc. Process automation holds the promise of bridging the gap between product design and process planning, while reaching beyond the capability of a human operator. The success of manufacturing process automation hinges primarily on the effectiveness of the process monitoring and control systems. This paper discusses the evolution of machining process monitoring and control technologies and conducts an in-depth review of the state-of-the-art of these technologies over the past decade. The research in each area is highlighted with experimental and simulation examples. Open architecture software platforms that provide the means to implement process monitoring and control systems are also reviewed. The impact, industrial realization, and future trends of machining process monitoring and control technologies are also discussed.

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