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This paper presents a new approach to analyze inverse heat conduction problems, which estimates the initial and boundary conditions (i.e. heat source, heat convection coefficient or the property of material) using measurement data. Based on the finite difference method, the result can be obtained by minimizing the least-square error between the measured and estimated data. The finite difference methods are employed to discretize the problem domain and to construct a linear inverse model. For unknown condition estimation. The linear least-squares error method is adopted for the linear model, such that the number of iterations is limited to one and the unique solution can be identified easily. The proposed numerical method is applied to analyze the steady or transient inverse heat conduction problems. For example, The analysis of heat convection coefficient on the surface of fin and the problem of inverse heat conduction problem for insert tools. In this paper, we applied this numerical method to the Inverse heat transfer analysis of grinding process. We can accurately solve heat source when the boundary of workpiece is movingsource for the grinding process. And we can using the solved heat source to estimate the transient temperature field of workpiece but not using assumed data. The result show that the proposed methods can solve the inverse heat conduction problems efficiently and effectively.
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