Abrasive belt grinding is a manufacturing process used in surface finishing of materials. This process uses abrasive particles of geometrical undefined cutting edges that are bonded to a flexible cloth. Abrasive belt grinding is often performed via a manual process (manual grinding), and a skilled operator can achieve high quality on complex parts. In manual grinding, the user feels and adjusts the input parameters such as the grinding force, feed rate, and depth of cut based on the condition of belt wear and machine vibration. It is not well understood how the user controls these parameters in a manual grinding process. One of the downsides with manual grinding is that the depth of cut is difficult to control compared to an automated grinding process. Several literature works report research on abrasive belt grinding simulations intended for robot operations, but belt grinding simulations intended for a human-centered approach have not been studied extensively. This research work investigates the kinematic belt grinding simulation parameters to improve manual belt grinding process before a belt grinding process is conducted. A belt grinding simulation model was created in and connected to a graphical user interface (GUI). The belt grinding simulation model app was designed to assist users in predicting grinding process parameters. The input parameters, also called the known parameters, include belt specification (grit size and belt dimension), depth of cut, and workpiece material. The outputs such as the feed rate and cutting speed are predicted to produce the desired workpiece qualities. First, the user inputs the input process parameters, then the simulation generates the belt topography, approximating the grits as spheres, and generates a workpiece with an estimated initial surface quality. Once the belt topography is generated, the grinding process is simulated with a suggested feed rate, cutting speed, and cutting force. To validate the simulation predictions, the result will be compared to a real grinding process. The novelty of the shown work is a simulation tool for manual operations that allows user input and interaction with the simulation before real-time grinding operation is conducted.