Modelling and Simulation of Grinding Processes with Mounted Points: Part II of II - Fast Modelling Method for Workpiece Surface Prediction

Uhlmann, Eckart; Koprowski, S.; Weingaertner, Walter Lindolfo; Rolon, D.A.

doi:10.1016/j.procir.2016.03.202

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…al. 8 could overlay the aforementioned cutting edge profile of rotating grinding tool over plain work surface, to predict ground surface topography. Major steps involved in the process were to capture the cutting edge profile -position matrix of grinding tool and overlapping the same with work piece coordinates.…”

Section: Introductionmentioning

confidence: 99%

Feed based trajectory addition and elimination algorithm combined with stochastic meshless modelling to simulate roughness in surface grinding

Sooraj

Arun

Jithendrakumar

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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Surface grinding is observed to be an inevitable machining event in many of the functional engineering surfaces after pre-processing stages such as milling. Prediction of roughness profile after grinding on such initial surfaces, for selected operating conditions and grinding wheel specification, is always an interesting topic of investigation. Though a number of models have been reported in prior art, value additions through hybrid modelling strategies have been always contributing positively to this field of research due to the stochastic nature of abrasive interactions. Since feed rate of work piece is identified as a key grinding variable influencing the surface roughness, present paper introduces grain trajectory addition and elimination algorithm driven by feed based time scale to predict the ground surface topography. A realistic initial surface modelling is considered using meshless moving least square approximation incorporating both roughness as well as geometric deviation, expected to be imparted during pre-grinding stages. The algorithm is configured to compute two dimensional roughness parameters from the simulated surface profiles and these results are compared with experimental outcomes at various depths of grinding to validate the proposed model.

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Section: Introductionmentioning

confidence: 99%

Feed based trajectory addition and elimination algorithm combined with stochastic meshless modelling to simulate roughness in surface grinding

Sooraj

Arun

Jithendrakumar

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

show abstract

“…This method can thus predict the surface roughness of ground or polished surfaces more accurately than Class #1. Uhlmann et al [18] used a class #2 model to predict surface roughness in a 4-axis grinding operation. • Class #3 considers the tool as a set of grains and takes into account the cutting action of each grain.…”

Section: Introductionmentioning

confidence: 99%

Towards an understanding of surface finishing with compliant tools using a fast and accurate simulation method

Chaves‐Jacob

Beaucamp

Zhu

et al. 2021

International Journal of Machine Tools and Manufacture

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Surface finishing with compliant tools is a widely used technology that still relies heavily on the trial-and-error approach. To predict surface evolution, one should ideally consider the tool as a set of grains and take into account the cutting action of each grain. In practice, the small size of abrasives renders this approach unpractical for industrial application. In this paper, the various aspects playing a role in surface generation, from micro-scale abrasives to macro-scale tool deformation as well as the time-dependent nature of compliant processes, are rationalized and modelled in a Folding Space (FS) rather than a classic geometrical space. This approach drastically reduces the computation time, and is found to be quite realistic as in each position the tool shape is distorted, taking into account the compliance level between the tool and local surface topography. Firstly, the concept of FS and methodology for physical representation of surfaces and processing by compliant tools in the FS are detailed. Next, predictions from the finishing model are analyzed for a variety of compliant grinding and polishing tools typically used in industry. Experimental testing confirms the accuracy and usefulness of the proposed method. To conclude, the model is exploited to offer a better understanding of finishing operations with compliant tools, while the limits and future possibilities of FS simulation method are discussed.

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RETRACTED ARTICLE: A novel approach to simulate surface topography based on motion trajectories and feature theories of abrasive grains

Chen

Wang

2018

Int J Adv Manuf Technol

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Modelling and Simulation of Grinding Processes with Mounted Points: Part II of II - Fast Modelling Method for Workpiece Surface Prediction

Cited by 8 publications

References 7 publications

Feed based trajectory addition and elimination algorithm combined with stochastic meshless modelling to simulate roughness in surface grinding

Feed based trajectory addition and elimination algorithm combined with stochastic meshless modelling to simulate roughness in surface grinding

Towards an understanding of surface finishing with compliant tools using a fast and accurate simulation method

RETRACTED ARTICLE: A novel approach to simulate surface topography based on motion trajectories and feature theories of abrasive grains

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