Differential-Difference Equations. By Richard Bellman and Kenneth L. Cooke. Pp. xvi, 465. 1963. (Academic Press)

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Random Data Analysis And Measurement Procedures

Bifurcation control deals with modification of bifurcation characteristics of a parameterized nonlinear system by a designed control input. Typical bifurcation control objectives include delaying t...

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Bifurcation control: theories, methods, and applications

Overview and comparative study of dimensionality reduction techniques for high dimensional data

For the past three decades, robotic machining has attracted a large amount of research interest owning to the benefit of cost efficiency, high flexibility and multi-functionality of industrial robot. Covering articles published on the subjects of robotic machining in the past 30 years or so; this paper aims to provide an up-to-date review of robotic machining research works, a critical analysis of publications that publish the research works, and an understanding of the future directions in the field. The research works are organised into two operation categories, low material removal rate (MRR) and high MRR, according their machining properties, and the research topics are reviewed and highlighted separately. Then, a set of statistical analysis is carried out in terms of published years and countries. Towards an applicable robotic machining, the future trends and key research points are identified at the end of this paper.

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Industrial robotic machining: a review

Reliability optimization using multiobjective ant colony system approaches

A new approach based on OMA-empirical wavelet transforms for bearing fault diagnosis

FEM dynamic simulation and analysis of the roll-bending process for forming a conical tube

Robotic belt grinding systems can be used not only to replace low efficiency, high pollution manual finishing operations but also to improve production rate and manufacturing flexibility, especially for grinding small batches of workpieces with complicated features. The contact wheel is made from soft material with significant elasticity and is tensioned by a grinding belt. Soft contact between the workpiece and contact wheel provides the benefits of high surface quality but reduces the dimensional accuracy of the finished workpiece. This paper analyzes the contact wheel’s deformation caused by belt tension in order to accurately predict the depth of cut. The elastic mechanics based on the power series method is employed to establish and solve the tension model, and the deformation of the contact wheel is obtained. The validity of the analytical model is verified by a finite element software. Then, two modified models of grinding stress distribution are developed, and the distribution of depth of grinding is predicted. Tests are running and showing that the prediction error is less than 3.1% on a given grinding path. An accurate, fast method is thus developed to predict the depth of cut for belt grinding.

Zhaoheng Liu

Papers

Reliability optimization using multiobjective ant colony system approaches

A new approach based on OMA-empirical wavelet transforms for bearing fault diagnosis

FEM dynamic simulation and analysis of the roll-bending process for forming a conical tube

Prediction of depth of cut for robotic belt grinding

Stability analysis of doubly regenerative cylindrical grinding process