Abstract
The specific needs of customers set requirements like flexibility and custom-made products, as well as quick placement of products on the markets. Mass customization responds to these requirements and imposes new demands inside manufacturing systems such as optimization and virtualization of machining and measurement processes. A contribution in that direction is presented in this paper, pertaining to development and verification an on-machine measurement planning model. The aim of the verification is to visualize collision check between the measuring head placed in the tool holder and the workpiece on the machine tool working table. The virtual on-machine measurement was realized on the configured virtual machine tool LOLA HBG80 in the CAD environment. The measurement path is generated by a new planning methodology, then optimized using ants colony, programed and verified by simulations through few examples of standard forms of tolerance. The output of the simulation process is the G-code for real on-machine measurement for prismatic parts of medium and rough dimensional accuracy.
Highlights
On-machine measurement path planning depends on the geometric and metrological complexity of the parts which are simultaneously machining and measuring
Mass customization as a manufacturing technique responds to these requirements and at the same time imposes new needs within manufacturing systems such as: (i) the production cost and process time saving; (ii) changing from reactive inspection to real-time process control; (iii) optimization and virtualization of machining and measurement processes
This paper presents a contribution in these directions, pertaining to development and verification of virtual on-machine measurement planning model
Summary
On-machine measurement path planning depends on the geometric and metrological complexity of the parts which are simultaneously machining and measuring. A geometric complexity refers to the distribution and size of measuring or machining surfaces, their accessibility to the measuring probe, etc. In the context of on-machine measurement planning such as measurement on machine tools, these types of complexity cannot be viewed separately, but can be integrated. MF’s position and orientation are geometric-machining characteristics, and the type of the tolerance zone, values of zone limits, reference element, etc. Application of the optimization algorithm based on the ants colony, generates an optimal on-machine measuring path. The path simulation aims to visually check the collision between the measuring probe and the measuring part, and generates at the output a DMIS CNC or G-code for a certain machine tool
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