2018
DOI: 10.1177/0954406218757267
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A discrete simulation-based algorithm for the technological investigation of 2.5D milling operations

Abstract: Many applications are available for the syntactic and semantic verification of NC milling tool paths in simulation environments. However, these solutions – similar to the conventional tool path generation methods – are generally based on geometric considerations, and for that reason they cannot address varying cutting conditions. This paper introduces a new application of a simulation algorithm that is capable of producing all the necessary geometric information about the machining process in question for the … Show more

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Cited by 13 publications
(8 citation statements)
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References 49 publications
(49 reference statements)
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“…9. When designing the movement path (toolpath) for cutting force-optimised milling of quasi-homogeneous materials, the chip cross-section should be optimised primarily [51,52]. In the case of UD-CFRP composite, due to the anisotropy, the direction of the reinforcing fibres also significantly influences the milling tool paths optimised for the force minimum, so it is advisable to take this into account when milling UD-CFRP.…”
Section: Comparison and Discussionmentioning
confidence: 99%
“…9. When designing the movement path (toolpath) for cutting force-optimised milling of quasi-homogeneous materials, the chip cross-section should be optimised primarily [51,52]. In the case of UD-CFRP composite, due to the anisotropy, the direction of the reinforcing fibres also significantly influences the milling tool paths optimised for the force minimum, so it is advisable to take this into account when milling UD-CFRP.…”
Section: Comparison and Discussionmentioning
confidence: 99%
“…A new application introduced by [5] provides simulation algorithm that is capable of producing all the necessary geometric information about the machining process.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The test was conducted using Wolfram Mathematica version 11 numerical equation solver functions, which enabled the measurement of the necessary CPU time (the CPU type used in the scope of the experiment was Intel Core i3-3220 3.30 GHz). For checking the engagement, a self-developed discrete model-based simulator has been used [13]. The results can be seen in Fig.…”
Section: Accuracy and Computational Costmentioning
confidence: 99%
“…The common point of the above-mentioned solutions is that they are all based on geometry, which means that they concentrate only on removing the machining allowance. Thus, their common deficiency is that they do not take into consideration the pertaining technological criteria [12]; therefore, the tool load during cutting may heavily fluctuate [13].…”
Section: Introductionmentioning
confidence: 99%