A Haptic Virtual Turning Operation System

He, Xuejian; Chen, Yonghua

doi:10.1109/icma.2006.257573

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…In the system, a NURBS deformation algorithm is proposed for workpiece modeling which is expected to accelerate haptic and graphical rendering [19]. In the turning simulation, a user can manipulate a virtual tool to cut a virtual workpiece with force feedback as if he/she is working on a real turning machine.…”

Section: E Haptic Simulation Using Bp Networkmentioning

confidence: 99%

Neural network based force modeling for haptic virtual machining simulation

Chen

2009

2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems

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In this paper, a novel haptic rendering method based on artificial neural network is proposed for turning simulation. In the proposed method, a two-layer neural network structure with three inputs and one output is used to model the cutting force. Levenberg-Marquardt algorithm is exploited as a learning strategy for training the neural network based on experimental machining data. Using the trained neural network, the relationship between simulated cutting force and cutting conditions can be obtained. Based on this method, a haptic virtual machining operation system is implemented and presented in this paper. Keywords-neural network, haptic rendering, virtual machiningI.

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Section: E Haptic Simulation Using Bp Networkmentioning

confidence: 99%

Neural network based force modeling for haptic virtual machining simulation

Chen

2009

2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems

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“…Other methods for surface deformation have also been developed, such as the 3D Chainmail (24,25) and deformable non-uniform rational basis spline (NURBS) surface (26). Zhong et al (27) presented an autowave-based haptic rendering method for soft tissue deformation.…”

Section: Introductionmentioning

confidence: 98%

Haptic interaction of organs based on the spherical harmonic representation

Yang

Vegh

Tieng

et al. 2010

Concepts Magn Reson

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Visual and haptic organ interactions in real time are essential in virtual reality-based medical simulations to provide training, early diagnosis, and improved treatment planning. This work presents a robust method of computing the deformation of an elastic object when external forces are applied. Point-based haptic interaction between the user of the haptic device and an object is outlined and is formulated as a deformation problem over the surface. The model is expressed in the spherical harmonic basis, from which both haptic device force feedback and object surface updates are calculated. Haptic and visual updates are performed in the same basis, in turn providing significant benefits of computing efficiency and multiresolution modeling. Partially, this is due to the fact that in the model the objects are represented as surfaces. A haptic device is used to probe different prostates that have been segmented and reconstructed from MR images to validate the findings. The calculated deformation and feedback force is further validated against the established finite element method.

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Training simulators for manufacturing processes: Literature review and systematisation of applicability factors

Knoke

Thoben

2021

Comp Applic In Engineering

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Training simulators are fundamental for training in areas, such as aviation, medicine, and the military. While new applications emerge in conjunction with the development of human–machine interface (HMI) technologies, only a few applications for manufacturing processes are used in industrial practice. This study provides a literature review on simulation‐based training in manufacturing processes and applies the definitions of DIN 8580:2003 to structure the research. The identified applications are further analysed regarding their HMI design and the process‐related benefits and limitations that were described within the publications. Although 202 applications were found, most focus on a small number of processes, and the others rarely mature past the prototype stage. The distribution implies that certain process‐specific factors impact the applicability of simulation‐based training in manufacturing processes. In this context, applicability factors are defined as characteristics of the original training process that affect the training adversely and that can be avoided or reduced in a training simulation. A systematisation of these applicability factors is developed as a step towards a process analysis methodology.

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A Haptic Virtual Turning Operation System

Cited by 6 publications

References 17 publications

Neural network based force modeling for haptic virtual machining simulation

Neural network based force modeling for haptic virtual machining simulation

Haptic interaction of organs based on the spherical harmonic representation

Training simulators for manufacturing processes: Literature review and systematisation of applicability factors

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