Simulation-based adaptative toolpath generation in milling processes

Poulhaon, Fabien; Leygue, Adrien; Rauch, Matthieu; Hascoët, Jean-Yves; Chinesta, Francisco

doi:10.1504/ijmmm.2014.060552

Cited by 6 publications

(7 citation statements)

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“…If we assume that the vademecum (PGD) solution of the parametric problem is available, given a set of measurements, the precise value of every parameter can be identified in almost real time by using inverse methodologies, e.g., Kalman filters [12], Tikhonov regularization [29], gradient methods [10,30,31], or Bayesian inference [32], to cite but a few.…”

Section: Data-assimilation and Advanced Virtual And Augmented Realitymentioning

confidence: 99%

Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Chinesta

Cueto

Abisset-Chavanne

et al. 2018

Arch Computat Methods Eng

Self Cite

206

143

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Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring a prominence never imagined. In the past, in the domain of materials, processes and structures, testing machines allowed extract data that served in turn to calibrate state-of-the-art models. Some calibration procedures were even integrated within these testing machines. Thus, once the model had been calibrated, computer simulation takes place. However, data can offer much more than a simple state-of-the-art model calibration, and not only from its simple statistical analysis, but from the modeling and simulation viewpoints. This gives rise to the the family of so-called twins: the virtual, the digital and the hybrid twins. Moreover, as discussed in the present paper, not only data serve to enrich physically-based models. These could allow us to perform a tremendous leap forward, by replacing big-data-based habits by the incipient smart-data paradigm.

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Section: Data-assimilation and Advanced Virtual And Augmented Realitymentioning

confidence: 99%

Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Chinesta

Cueto

Abisset-Chavanne

et al. 2018

Arch Computat Methods Eng

Self Cite

206

143

View full text Add to dashboard Cite

show abstract

“…Neverteless, there are few examples in the literature of their use, and they are generally limited to 3-axis trajectories. For instance, Poulhaon et al [13] use such a sensor to generate adaptive machining trajectories in a 3-axis machining context.If this work is interesting for in-situ measurements, there has not been yet any specific work on an generation of measurement trajectories with a laser sensor adapted to the on-machine context.…”

Section: Related Workmentioning

confidence: 99%

Optimal scanning strategy for on-machine inspection with laser-plane sensor

Phan

Quinsat

Lartigue

2019

Int J Adv Manuf Technol

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The purpose of this paper is to propose a scan path planning method for on-machine measurement (OMM) in a 5-axis machine-tool. Sensor accessibility can be enhanced using the 5 degrees of freedom and the spindle rotation. The laser-plane sensor replacing the cutting tool in the spindle enables to reduce the measurement time and thus allows for rapid decision-making concerning the geometrical conformity of manufactured parts and potential machining corrections. The scan path planning is based on the control of the overlap between two consecutive passes by managing the orientations and the coverage rate of laser beam. Therefore, both scanning quality and scanning time can be controlled by optimizing the overlap zones. In this paper, we adapt the method previously developed for 6-axis robots to a 5-axis machine-tool.

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“…This facilitates the comparison of the machined part to its CAD model. Non-contact measuring techniques are generally used, as they represent a good compromise between data acquisition speed and resolution [3,4]. As an example, a laser-plane sensor can be integrated in a milling machine tool by taking the place of the cutting tool to measure geometrical deviations of the machining part [2].…”

Section: Introductionmentioning

confidence: 99%

Defining Scanning Trajectory for on-Machine Inspection Using a Laser-Plane Scanner

Nguyen

Quinsat

Lartigue

2019

Advances on Mechanics, Design Engineering and Manufacturing II

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Scan path planning for on-machine inspection in a 5-axis machine tool is still a challenge to measure part geometry in a minimum amount of time with a given scanning quality. Indeed, as the laser-plane scanner takes the place of the cutting tool, the time allocated to measurement must be reduced, but not at detrimental of the quality. In this direction, this paper proposes a method for scan path planning in a 5-axis machine tool with the control of scanning overlap. This method is an adaptation of a method dedicated to a robot that has proved its efficiency for part inspection.

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Simulation-based adaptative toolpath generation in milling processes

Cited by 6 publications

References 0 publications

Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Optimal scanning strategy for on-machine inspection with laser-plane sensor

Defining Scanning Trajectory for on-Machine Inspection Using a Laser-Plane Scanner

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