The invention of computed tomography some few decades ago, coupled with its applications in the field of non-destructive testing for industrial objects inspection has revolutionized the way inspections were formerly done. Despite the conventional data acquisition scheme, which is integrated with a rotational stage in between the source and the detector, works perfectly for small and lighter objects, hence, it seems impossible to investigate complicated, bulky objects with interconnected unbalanced composites. Moreover, it will be very expensive to harness technologies into the rotational stage which can be incorporated into this conventional technique with an optimum degree of accuracy. Therefore, this paper will consider the translational data acquisition scheme which is proven mathematically as an alternative method to the conventional technique . This translational scheme takes into account the variations and the magnification of both the X-ray source and the detector around the object and then proceeded by scans from different focal distances. Python packages with necessary plugins were used in implementing the reconstructive algorithm generated in simulating and modelling a suitable image of inspected object.