Analysis of CNC software modules regarding parallelization capability

Keinert, Matthias; Kaiser, Benjamin; Lechler, Armin; Verl, Alexander

doi:10.14809/faim.2014.0079

Cited by 8 publications

(8 citation statements)

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“…The parallelization of the interpreter function including the cutter radius compensation [7], of the look-ahead function [8] and of the interpolation function [9] allows to increase data throughput, to reduce the CNC cycle time, to enhance interpolation algorithms or to consider a larger number of elements in one turn for a better velocity profile. However, up to now a concept for realizing a slope function was missing.…”

Section: Related Workmentioning

confidence: 99%

“…(Note: Apart from the fact that the CNC and hence also the interpreter function is analyzed and modified in terms of optimally exploiting a multi-core system platform, the parallelization of the interpreter function does not produce any functional improvement. However, in the context of the 2) Look-ahead: The parallelization concept for the lookahead function as proposed in [8] is based on data parallelism following a thread based approach. A configurable number of threads are spawned executing the look-ahead function, each working on an excerpt of the common dataset provided by the interpreter function.…”

Section: ) Interpretermentioning

confidence: 99%

“…Hence, the fragmentation of the dataset introduces the challenge to retreive information that is lost due to this procedure. Reference [8] solves this problem introducing an overlapping area. The overlapping data of a specific dataset of one instance of the look-ahead functions is only used to retreive the lost information but does not influence the lookahead calculation of the assigend data set.…”

Section: ) Interpretermentioning

confidence: 99%

See 2 more Smart Citations

Concept of a computerized numerical control kernel for execution on multi-core processors

Keinert

Lechler

Verl

2016

2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)

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Computerized numerical controls are more and more executed on off-the-shelf system platforms and can thus benefit from the developments in the area of processor technology. Multi-core processors provide sufficient processing power for these controls but require a specific system design that allows exploiting the parallel processing unit. This paper presents an approach on how computerized numerical controls may be partitioned on a task and a functional level using task and data parallelism for the efficient execution on multi-core system platforms.

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Section: Related Workmentioning

confidence: 99%

Section: ) Interpretermentioning

confidence: 99%

Section: ) Interpretermentioning

confidence: 99%

See 1 more Smart Citation

Concept of a computerized numerical control kernel for execution on multi-core processors

Keinert

Lechler

Verl

2016

2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)

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“…The computational power now available can be used for achieving reduced cycle times and/or increasing the look-ahead horizon. In most cases, increasing look-ahead horizon leads to increased machining velocity [13], [14].…”

Section: Related Workmentioning

confidence: 99%

Productivity Increase through Joint Space Path Planning for Robot Machining

Atmosudiro

Keinert

Karim

et al. 2014

2014 European Modelling Symposium

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Machine tools realize tool movements with high accuracy mainly due to highly developed computerized numerical controls (CNCs). As articulated industrial robots are used more and more for machining, robot controllers (RC) have to be equipped with additional path planning capabilities, similar to machine tools. A RC is very similar to a CNC from a software and hardware point of view, but with one major difference, the RC has an additional transformation stage, the transformation from Cartesian space to joint space. Machining with robots is a field intensely researched in the last years. CNC systems for robots are commercially available, furthermore, more and more CAM systems have extensions for machining with robots. Most of these offer a simulation of the machining process using a robot model, in order to solve the inverse kinematic problem and, additionally, to take into consideration axis motion limits (maximum angular amplitudes) and singularities. Moreover, path planning for machining robots is done in exactly the same way as for machine tools, with the mentioned additional transformation stage. This paper describes the advantages and challenges which result from the integration of the kinematic transformation in the path planning stage.

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“…Being limited in areas like e.g. reconfiguration ability [1], security [2] and computational power [3], the machine control demands for a radically new concept. In recent years, cloud computing have been dramatically changing enterprises and industries in the way of organizing business.…”

Section: Introduction "Intelligence Is the Ability To Adapt To Change...mentioning

confidence: 99%