Asian Review of Mechanical Engineering (ARME) is a half-yearly international peer-reviewed journal of Mechancial Engineering. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:

Statics and dynamics
Strength of materials and solid mechanics
Instrumentation and measurement
Thermodynamics, heat transfer, energy conversion, and HVAC
Combustion, automotive engines, fuels
Fluid mechanics and fluid dynamics
Mechanism design (including kinematics and dynamics)
Manufacturing engineering, technology, or processes
Hydraulics and pneumatics
Engineering design
Product design
Mechatronics and control theory
Material Engineering
Design engineering, Drafting, Computer-Aided Design (CAD) (including solid modeling), and Computer-Aided Manufacturing (CAM)

Use of appropriate methods to capture manufacturing imperfection at the conceptual stage is a major challenge for the designer and researchers in industry. Imperfections are observed in almost all type of in macro, micro and nano-machining domain of manufacturing process. These imperfections lead to undesirable performance in application phase. In the present work, a simulation based approach to handle manufacturing imperfection is implemented using image processing operators. This method simulates the image of the component due to manufacturing imperfections. The usage of these image processing operators facilitates a realistic simulation of manufacturing errors, in macro, micro, and nano domain manufacturing. The simulated image is further processed for its structural properties i.e. maximum deflection, reactions, Von Mises stress, and change in amount of material, corresponding to its intended application. In order to generate these results based on modified image of beam, the concept of "Solid Isotropic Material with Penalization"(SIMP) is utilized along with 2-D finite element routine. An example of a simple cantilever beam is selected to illustrate the proposed methodology, and the results are analyzed. The present work discusses a simple and easy method to predict the behavior of designed component prior to its manufacturing.