An approach to improve the quality of offline programming for laser beam welding is described. A CAD-dataset is combined with technological information using a feature model. A feature consists of the basic geometry, process parameters, a set of strategies in which way it can be processed, and rules to select the optimum strategy depending on the boundary conditions. The resulting welding task is represented by a list of features from which an NC-dataset is generated, containing all process information. The aim of the development is to design a feature based technology module which is integrated into a flexible, fault tolerant and process near planning tool
Laser beam welding manufacturing (LBW), being a promising joining technology with superior capabilit...
Efficient and high quality processing requires identification of the underlying phenomena and on-lin...
Abstract- Remote laser beam welding (R laser beam cutting (RLC) are technologies that a automated ap...
Today's situation with increasingly shorter time-to-market limits and growing variant spectra calls ...
Software supported process planning and quality assurance are of primary importance for the realizat...
Software supported process planning and quality assurance are of main importance for the realization...
Ecological and economical reasons demand advanced planning procedures in manufacturing. Process plan...
Laser beam welding (LBW) has been largely used in manufacturing processes ranging from automobile pr...
Laser additive manufacturing technologies have to be integrated into sophisticated process chains in...
The performance of laser beam welding strongly depends on the education of the machine operator. The...
Weld procedure development can require extensive experimentation, in-depth process knowledge, and is...
The automation of manufacturing and welding processes and of control data production during the repa...
There is a rapidly growing demand for laser welding in a wide variety of manufacturing processes ran...
In this paper, a novel visual multi-feature detecting algorithm for the real time monitoring and con...
Flexible robotic welding cells have been established as an integral part of manufacturing. In order ...
Laser beam welding manufacturing (LBW), being a promising joining technology with superior capabilit...
Efficient and high quality processing requires identification of the underlying phenomena and on-lin...
Abstract- Remote laser beam welding (R laser beam cutting (RLC) are technologies that a automated ap...
Today's situation with increasingly shorter time-to-market limits and growing variant spectra calls ...
Software supported process planning and quality assurance are of primary importance for the realizat...
Software supported process planning and quality assurance are of main importance for the realization...
Ecological and economical reasons demand advanced planning procedures in manufacturing. Process plan...
Laser beam welding (LBW) has been largely used in manufacturing processes ranging from automobile pr...
Laser additive manufacturing technologies have to be integrated into sophisticated process chains in...
The performance of laser beam welding strongly depends on the education of the machine operator. The...
Weld procedure development can require extensive experimentation, in-depth process knowledge, and is...
The automation of manufacturing and welding processes and of control data production during the repa...
There is a rapidly growing demand for laser welding in a wide variety of manufacturing processes ran...
In this paper, a novel visual multi-feature detecting algorithm for the real time monitoring and con...
Flexible robotic welding cells have been established as an integral part of manufacturing. In order ...
Laser beam welding manufacturing (LBW), being a promising joining technology with superior capabilit...
Efficient and high quality processing requires identification of the underlying phenomena and on-lin...
Abstract- Remote laser beam welding (R laser beam cutting (RLC) are technologies that a automated ap...