Comparative Study of Python and VB.NET for Automated Wing Assembly in CATIA V5 : Dual-Robot Pick-and-Place, Spot-Welding, and Configurator Development

Sammanfattning

An automated assembly or manufacturing simulations allow for faster designing and process optimization of work cells avoiding trial-and-error on real machines. This accounts for reduced downtimes, increased efficiency and improved safety within a manufacturing environment. The key driver of this is design automation, which combines parametric modelling, rule-based logic, and scripting into a powerful, integrated capability. Therefore, in modern product development processes where quick iterations and rapid prototyping are essential, scripting can be leveraged as a strategic enabler to improve the possibilities of automation by connecting design intent to logic and processes. Hence, this thesis aimed to evaluate the strengths and weaknesses of two widely used scripting languages, VB.NET and Python within the CATIA V5 platform by implementing a methodology to develop a graphical user interface that will enable users to control parametric models, drive macros and operate based on user-triggered events. The thesis further seeks to enhance understanding of how VB.NET and Python interface with different CATIA V5 workbenches. To support the analysis, a case study of aircraft wing ribs which includes rapid geometric customization, wing assembly automation and its manufacturing simulation is employed. The initial methodology was based on earlier work done on design automation projects which rely on similar automation principles but are solely focused on a smaller scale of realization whereas this thesis envisions a largely dynamic implementation intending to project the flexibility that can be achieved through scripting. The proposed methodology details how a design automation task for a customized product can be undertaken and explains the motivations behind the development of different components and tools utilized within the different aspects of this thesis. Consequently, the methodology adopts a component-based, prototype-intensive approach, incorporating elements of incremental and adaptive iteration.