Priya Rao , Dhabaleswar Mohapatra , S. Chakraverty , Debanik Roy
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引用次数: 0
Abstract
This paper presents a novel dynamic model of a dual-cable-strapped single-link flexible manipulator under an uncertain workspace. The material of the link of the manipulator is considered to be non-homogeneous with inherent non-linearity, which is crucial in modelling. In this regard, linear and quadratic variations in the density of the material of the flexible link with space coordinates are considered. Uncertainty is introduced into its parameters in order to make the real-time dynamics of the flexible manipulator more challenging. Fuzzy parameters, in support of uncertainty, are invoked in the spring constants of the cables for modelling using Triangular Fuzzy Numbers (TFN). In particular, Interval Type-2 Triangular Fuzzy Numbers (IT2TFN) are considered in this investigation since higher-order fuzzy numbers can be beneficial, as the presence of uncertainty in the membership grade may also be unavoidable. The non-homogeneous flexible link is modelled as an Euler-Bernoulli beam, and the non-linear equations of motion are derived using Hamilton's principle and two boundary conditions. It may be difficult to obtain the exact solution of the governing differential equation because of the non-homogeneity in the parameters associated with the link. In this regard, the Adomian Decomposition Method (ADM) is implemented in the crisp as well as uncertain scenario to determine the natural frequencies of the single-link flexible manipulator. The existence and uniqueness of the solution is also illustrated. Tabular and graphical results are presented for validation and better visualisation.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.