Peeyush Singh

Peeyush Singh

A new interior-exterior penalty method for solving quasi-variational inequality and pseudo-monotone operators arising in two-dimensional point contact problem has been analyzed and developed in discontinuous Galerkin finite volume method environment. In this article, we proved the existence of solution for the more realistic model problem without taking any constant assumption in viscosity or density of the lubricant. We have shown that optimal error estimate of $H^{1}$ and $L^{2}$ norm can be achieved under a light load non-dimensional parameter condition. In addition, we provided a complete algorithm to tackle all numerical complexities appear in the solution procedure. We obtained results for moderate loaded conditions which have been discussed at the end of the section. Furthermore, results give a hope for the further development of the scheme for highly loaded condition appeared in a more realistic operating situation which will be discussed in part II. This method is well suited for solving elasto-hydrodynamic lubrication line as well as point contact problems and can probably be treated as commercial software.

Peeyush Singh

In this study, we propose a class of total variation diminishing (TVD) schemes for solving pseudo-monotone variational inequality arises in elasto-hydrodynamic lubrication point contact problem. A limiter based stable hybrid line splittings are introduced on hierarchical multi-level grid. These hybrid splittings are designed by use of diffusive coefficient and mesh dependent switching parameter in the computing domain of interest. The spectrum of illustrated splittings is derived with the help of well known local Fourier analysis (LFA). Numerical tests validate the performance of scheme and its competitiveness to the previous existing schemes. Advantages of proposed splittings are observed in the sense that it reduces computational complexity (up to ($O(n\log n)$) and solve high order discretization directly (no defect-correction tool require) without perturbing the robustness of the solution procedure (i.e. it works well for large range of load parameters).