Additive manufacturing, commonly known as 3D printing, is a process that produces its output as a tangible item. Slicing is the procedure necessary to prepare a digital 3D model for additive manufacturing. The slicing of the model is done using conventional slicing programs that convert the model as G-code for printers. There are degrees of freedom in this process, start point of slicing sequence and thickness of each layer, which changes the quality of the model—these parameters of slicing influence the print process, varying time, and quality of the manufacturing. Slicing of CAD model with a minimal slice thickness leads to long build time and high strength. In the case of large slice thickness, the surface of a part has bad quality. It is necessary to find optimal thickness for layers of the 3D model. This paper presents an adaptive slicing method for varying layer thickness. It uses adaptive computing for layer heights to print parts. It has the potential to generate high fidelity printed parts with a minimal volume of printing. The study can help in printing the parts faster rather than the conventional uniform slicing method; this proposal was validated with computer simulation and visual comparison of the 3D model. The study concludes on methods to evaluate the layer thickness based on the topographical load on the 3D model. This approach is in conception and intends to locate the boundaries using mathematical algorithms accurately and, in turn, adjusting slicing thickness.