Dynamic feature modelling for closed-loop machining process control of complex parts

Abstract

Dynamically changing machining conditions and uncertain manufacturing resource availability are forcing manufacturing enterprises to implement advanced process planning and control systems with an adaptive machining information model in order to increase productivity and ensure product quality. This article proposes a dynamic feature modelling method for closed-loop machining process control of complex parts. A software platform is developed to include feature modelling software units with algorithms to represent and integrate geometric, machining, inspection and monitoring information and a service software unit with algorithms to update dynamic feature information and trigger online inspection. A multi-thread execution approach and a finite state machine method are adopted to support the execution and collaboration of multiple algorithms for dynamic feature modelling. A sharing memory approach is utilised for real-time communication between software units and the computer numerical control (CNC) kernel. The dynamic feature model is highly informative and can support autonomous decision-making and bidirectional information flow. By implementing the proposed dynamic feature modelling, a closed-loop process machining control including the integration of process planning, machining, inspection and monitoring for complex parts can be achieved.

Keywords:

• dynamic feature model
• closed-loop process control
• machining
• inspection
• monitoring

Additional information

Funding

This work was funded by the National Natural Science Foundation of China [grant number 51375239]; Funding of Jiangsu Innovation Program for Graduate Education [grant number CXZZ12_0171] and Funding of PhD Thesis Innovation and Merit of Nanjing University of Aeronautics and Astronautics [grant number BCXJ12-06].