Simulation of cutting force using nonstationary Gaussian process

Ullah, Aman; Harib, Khalifa H.

doi:10.1007/s10845-009-0245-2

Cited by 19 publications

(2 citation statements)

References 24 publications

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“…The microscopic structures of the outermost circumferential surface of a grinding wheel, as well as the shape of the abrasive grains, are highly complex [3][4]. As a result, a grinding operation exhibits highly irregular cutting force [5] and surface finish [6].…”

Section: Introductionmentioning

confidence: 99%

A Surface Generation Mechanism of Grinding

Ullah

Chowdhury

Kubo

2016

AMM

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This paper presents a surface generation mechanism of grinding that captures the microscopic interaction between the abrasive grains and work-surface. The mechanism utilizes both deterministic and stochastic formulations and deals with such realistic constraints as loss/wear and uneven distribution of abrasive grains, roughness of already-ground work-surface, and machine stiffness. Apart from the theoretical treatments, numerical examples are cited showing how the topography of the work-surface evolves because of the proposed mechanism. The work will help build computerized systems ensuring a reliable prediction of the surface roughness due to grinding under the realistic constraints.

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Section: Introductionmentioning

confidence: 99%

A Surface Generation Mechanism of Grinding

Ullah

Chowdhury

Kubo

2016

AMM

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“…Grinding is a complex material removal process [1,2,3]. Stochastic models have been found effective to model grinding wheel [4,5], cutting force [6,7], and even surface finish [8,9]. The objective of this paper is to identify the stochastic features of 3D surface finish of a ground surface and model such features by using a human-friendly computing method.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of 3D Surface Finish of Grinding

Ullah

Tamaki

Kubo

2010

AMR

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The main body of grinding knowledge comes from the experiments done by independent investigators. If such experimental results are not made both human- and machine-comprehensible from the very beginning, then it would be difficult to reuse the results using a computerized network or any other means. In this respect, intelligent systems are needed to create human- and machine-comprehensible models of important results like 3D surface finish, cutting force, tool wear, etc. From this perspective, this paper describes a method for modeling and simulation of 3D surface finish of grinding. A human-friendly simulation tool is developed to implement the method. The simulation result is compared with the real 3D surface finish and a close correlation is found. The presented model can be integrated with the collaborative machining networks for better utilization of grinding resources using computers (e.g., condition monitoring, process planning, automation) and even using humans (e.g., effective exchange of information among peers in the research community and in the industry).

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